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Pilot Study of Massage in Veterans
with Knee Osteoarthritis
Michael Juberg, BA,1
Kristin K. Jerger, MD, LMBT,1
Kelli D. Allen, PhD,2,3
Natalia O. Dmitrieva, PhD,4
Teresa Keever, BSN, RN,1
and Adam I. Perlman, MD, MPH1
Abstract
Objectives: To (1) assess the feasibility and acceptability of Swedish massage among Department of Veterans
Affairs (VA) health care users with knee osteoarthritis (OA) and (2) collect preliminary data on efficacy of
Swedish massage in this patient group.
Design: Experimental pilot study.
Setting: Duke Integrative Medicine clinic and VA Medical Center, Durham, North Carolina.
Patients: Twenty-five veterans with symptomatic knee OA.
Interventions: Eight weekly 1-hour sessions of full-body Swedish massage.
Outcome measures: Primary: Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and
global pain (Visual Analog Scale [VAS]). Secondary: National Institutes of Health Patient Reported Outcomes
Measurement Information System-Pain Interference Questionnaire 6b (PROMIS-PI 6b), 12-Item Short-Form
Health Survey (SF-12 v1) and the EuroQol health status index (EQ-5D-5L), knee range of motion (ROM), and
time to walk 50 feet.
Results: Study feasibility was established by a 92% retention rate with 99% of massage visits and 100% of
research visits completed. Results showed significant improvements in self-reported OA-related pain, stiffness
and function (30% improvement in Global WOMAC scores; p = 0.001) and knee pain over the past 7 days (36%
improvement in VAS score; p < 0.001). PROMIS-PI, EQ-5D-5L, and physical composite score of the SF-12
also significantly improved ( p < 0.01 for all), while the mental composite score of the SF-12 and knee ROM
showed trends toward significant improvement. Time to walk 50 feet did not significantly improve.
Conclusions: Results of this pilot study support the feasibility and acceptability of Swedish massage among VA
health care users as well as preliminary data suggesting its efficacy for reducing pain due to knee OA. If results
are confirmed in a larger randomized trial, massage could be an important component of regular care for these
patients.
Introduction
Osteoarthritis (OA) affects nearly 27 million
Americans, and its prevalence is expected to rise con-
siderably in the next several decades.1
Knee OA is particu-
larly common, with a lifetime risk of 45%.2
OA in general,
and knee OA in particular, is more common in U.S. military
veterans than in the general population, and Department of
Veterans Affairs (VA) health care users are at particularly
high risk.3
In addition, VA health care users with arthritis
(most commonly knee OA) have more severe symptoms and
activity limitations.4
In veterans, OA (including knee OA)
commonly co-occurs with other chronic pain conditions,
post-traumatic stress disorder, and substance abuse.5
Currently, a variety of conventional treatment options for
knee OA are available, including pain medication, cortico-
steroid injections, physical therapy, exercise, weight man-
agement, and joint replacement surgery.6
When traditional
treatment approaches are used, many patients with knee OA
continue to experience symptoms such as chronic pain and
1
Duke Integrative Medicine, Duke University Medical Center, Durham, NC.
2
Department of Medicine, Division of Rheumatology, and Thurston Arthritis Research Center, University of North Carolina at Chapel
Hill, Chapel Hill, NC.
3
Health Services Research and Development Service, Durham Veterans Affairs Medical Center, Durham, NC.
4
Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC.
THE JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE
Volume 21, Number 6, 2015, pp. 333–338
ª Mary Ann Liebert, Inc.
DOI: 10.1089/acm.2014.0254
333
functional limitations that reduce quality of life.7
Accord-
ingly, there remains a pressing need to identify additional
effective, conservative treatments for knee OA that improve
pain, functioning, and overall well-being in these patients.
Massage therapy is effective for musculoskeletal disor-
ders, such as chronic back and neck pain,8
and is an effec-
tive treatment for managing pain associated with knee OA.9
For massage to be integrated into a comprehensive pain
management program, a systematic approach and dosage of
massage therapy needs to be established. A prior study dem-
onstrated the efficacy of a specific manualized protocol of
Swedish massage for improving pain, stiffness, and func-
tioning due to knee OA in non-veterans.9
A subsequent study
established an optimal dosage for the protocol: eight weekly
1-hour sessions.10
Although there is promising evidence for massage as an
effective treatment for knee OA, further studies must evaluate
its effectiveness in diverse patient groups. VA health care
users are an important patient group for studying this treat-
ment for several reasons. First, given VA health care users’
particularly high risk for activity-limiting knee OA, it is im-
portant to identify effective interventions for this vulnerable
patient group. Second, the demographic profile of VA health
care users differs substantially from that of participant sam-
ples in previous studies of massage for knee OA.9,10
Most of
these patients are men, and the acceptability of massage in
this group has not been sufficiently evaluated. Third, VA
health care users with knee OA have higher levels of physical
and psychological comorbidities that could influence or be
affected by massage.5
This pilot study evaluated a previously
established massage therapy protocol in a new population:
VA health care users with knee OA. Core objectives of this
study were to (1) assess the feasibility and acceptability of
Swedish massage among VA health care users with knee OA
and (2) collect preliminary data on the efficacy of Swedish
massage in this patient group.
Materials and Methods
This was a single group pilot study, with all participants
receiving a 1-hour-per-week intervention of Swedish mas-
sage for 8 weeks. Assessments were conducted before and
after the intervention. The institutional review boards of
Duke University and the Durham VA Medical Center re-
viewed and approved the study.
Participants
Primary eligibility requirements included (1) VA health
care users; (2) age ‡ 35 years; (3) written confirmation of
OA of the knee per American College of Rheumatology
criteria6
provided by the participant’s physician; (4) ra-
diographically established OA of the knee; and (5) a pre-
randomization score in a specified range on the Visual
Analog Scale (VAS; ‡ 40mm and £ 90 mm on a 40–100 mm
scale). For patients with bilateral knee involvement, the study
knee was determined by the patient as being the more prob-
lematic/painful knee. Exclusion criteria included (1) any intra-
articular knee depo-corticosteroid within the last 3 months, (2)
intra-articular hyaluronate within the past 6 months, (3) ar-
throscopy within the past year, (4) knee replacement surgery,
(5) significant injury within the past 6 months, and (6) pres-
ence of a rash or open wound over the knee. Participants
missing the research visit or three or more massage visits
could be withdrawn from the study at the discretion of the
study principal investigator.
Patients with knee OA at the Durham VA Medical Center
were recruited by using two methods. First, posters were
displayed in clinic waiting rooms and other common areas
of the medical center. Second, invitation letters were sent
to patients who were identified as having knee OA from
Durham VA electronic medical records. These letters pro-
vided basic information about the study and invited patients
to call if they were interested in participating. The first
25 eligible participants to send a letter from their physician
verifying their diagnosis of knee OA were enrolled in the
study. Participants meeting all criteria gave written informed
consent before enrolling in the study.
Study design and treatment
Participants received eight weekly 1-hour Swedish mas-
sages at Duke Integrative Medicine’s clinical facilities, 1 mile
from the Durham VA Medical Center. Massage therapists
were certified by the National Certification Board for
Therapeutic Massage & Bodywork adhered to a manualized
massage protocol previously tested to treat OA of the knee.10
Therapists announced their next technique or position in
order to minimize potential client startle in a population with
high prevalence of post-traumatic stress disorder. Each study
therapist signed a form attesting to adherence to the study
protocol after each massage session.
The primary outcome measure used to assess OA-related
pain, stiffness, and function was the Western Ontario and
McMaster University Arthritis Index (WOMAC) global
score (VAS version). The WOMAC has been subject to
numerous validation studies to assess reliability and re-
sponsiveness to change in therapy, including physical forms
of therapy.11
In addition, participants were asked to respond
to the question, ‘‘How much pain have you had because of
your knee in the past week?’’ using a 100-point VAS.
Secondary outcomes included measures of other domains
of high relevance to patients with knee OA: the National
Institutes of Health Patient Reported Outcomes Measure-
ment Information System-Pain Interference Questionnaire
6b (PROMIS-PI 6b).12
This instrument consists of six
questions that follow the format, ‘‘In the past 7 days, how
much did pain interfere with [insert category]?’’ and allows
responses on a 5-point scale (1 = not at all/never, 5 = very
much/always). The six categories include enjoyment of life,
ability to concentrate, day-to-day activities, enjoyment of
recreational activities, doing tasks away from home (e.g.,
getting groceries, running errands), and socializing with
others. Measures used to assess change in perceived health
status included EQ-5D-5L,13
a non–disease-specific instru-
ment for describing and valuing health-related quality of
life, and the Short Form-12 (SF-12), version 1.14
The SF-12
Health Survey is a 12-item subset of the SF-36 that mea-
sures the same eight domains of health as the longer scale. It
is a brief, reliable measure of overall health status which is
useful in large population health surveys and has been used
extensively as a screening tool. Knee range of motion
(ROM), measured manually with a goniometer to the onset
of stiffness, and 50-foot walk test were also measured.
Maximal walking speed is a more reliable and predictive
334 JUBERG ET AL.
measure of walking ability than walking at a comfortable
pace.15,16
Participants were asked to walk as fast as they
safely could with or without a walking aid. They were timed
from a standing start until the point at which they walked
through the 50-foot (15.24-meter) marker. Additional post-
study questions were asked of all participants during the
final visit to assess study acceptability (Appendix 1).
Statistical analysis
Paired-samples t tests were used to examine the effects of
treatment on change in outcomes at baseline and immedi-
ately after the intervention. In all analyses, statistical sig-
nificance is reported using a two-tailed a level of 0.05 or
less, and the 95% confidence interval for all parameter es-
timates are provided. All analyses were carried out by using
SAS software, version 9.3 (SAS Institute, Cary, NC).
Results
Feasibility and participant characteristics
Of the 104 potential participants completing the telephone
screening, 56 were determined to be eligible (41 were ineli-
gible and 7 declined participation), and the first 25 (n = 25) to
submit a letter from their physician confirming the diagnosis
of OA by radiography were enrolled. Among the 25 study
participants, the mean age was 57.0 (standard deviation,
12.0); most participants were men (68%), 52% were black or
African American, and 68% were not employed (Table 1).
During the study, 1 participant withdrew, and another par-
ticipant was withdrawn by the principal investigator after
missing three consecutive appointments. The remaining 23
participants (92%) completed the study. Study feasibility was
established by the 92% retention rate with 99% of massage
visits and 100% of research visits completed.
Primary outcome measures
Participants’ mean WOMAC global score improved by
30% ( p = 0.001), as shown in Table 2. Significant improve-
ment was observed on all subscales of the WOMAC index,
including the pain subscale ( p < 0.001), stiffness subscale
( p = 0.006), and the function subscale ( p < 0.001). Partici-
pants’ VAS scores also showed an average improvement of
36% ( p < 0.001).
Secondary outcome measures
Perceived health status as measured with the EQ-5D-5L
and the SF-12 also improved significantly (Table 3). Im-
provements in the SF-12 physical composite score reached
statistical significance ( p < 0.01). However, improvements
in the SF-12 mental component score only exhibited a trend
toward improvement ( p = 0.080). The PROMIS-PI 6b
(Table 3) showed a 15% improvement ( p < 0.01). A trend
in the expected direction was observed for knee ROM, but this
did not reach statistical significance ( p = 0.087). There was
no significant change in the 50-foot walk test ( p = 0.121).
Responses to post-study questions confirmed acceptabil-
ity, feasibility, and a positive response to the treatment (full
questions and responses listed in Appendix 1; n = 23 for all
questions). These questions were not part of a standardized
instrument but were developed specifically for this study to
assess aspects of patient satisfaction that were important to
evaluate in the context of this pilot/feasibility study. An
overwhelming majority of respondents answered ‘‘yes’’ to
the following questions: ‘‘Would you like to continue mas-
sage as part of the on-going management of your knee ar-
thritis?’’ (91%) and ‘‘Was the schedule of visits (60 minutes/
week) convenient for you?’’ (96%).
When asked about the likelihood that other veterans would
want to try massage if it were offered at the VA, 87% re-
sponded that it was very likely or somewhat likely, and 83% of
respondents answered ‘‘yes’’ to the post-study question: ‘‘Did
you notice any other changes in your health or other aspects of
your life since starting the massage?’’
Table 1. Patient Characteristics
Characteristic Value
Total sample (n) 25
Mean age at baseline (yr) 56.96 – 11.98
Mean BMI (kg/m2
) 31.58 – 7.71
Men, n (%) 17 (68)
Hispanic ethnicity, n (%) 0 (0)
Race, n (%)
American Indian/Alaska Native 0 (0)
Asian 1 (4)
Black or African American 13 (52)
Native Hawaiian or other Pacific Islander 0 (0)
White 11 (44)
Currently employed (working for pay), n (%) 8 (32)
Values are expressed as the mean – standard deviation or number
(percentage) of patients.
BMI, body–mass index.
Table 2. Changes in Primary Outcome Measures
Variable
Mean
before (SD)
Mean
after (SD)
Mean paired difference
(95% CI) p-Value
Percent
improvement
WOMAC
Global 66.4 (13.8) 45.4 (22.6) - 21.0 ( - 32.2 to - 9.9) 0.001* 30
Pain 63.0 (14.8) 42.0 (27.3) - 22.5 ( - 33.6 to - 11.4) < 0.001* 37
Stiffness 69.1 (18.0) 52.8 (24.0) - 16.3 ( - 27.5 to - 5.2) 0.006* 21
Function 65.0 (13.7) 41.5 (21.0) - 23.6 ( - 35.0 to - 12.2) < 0.001* 32
VAS 69.4 (13.8) 43.0 (25.1) - 26.4 ( - 38.5 to - 14.2) < 0.001* 36
*Indicates significance at level p < 0.05.
CI, confidence interval; SD, standard deviation; VAS, visual analog scale; WOMAC, Western Ontario and McMaster University
Osteoarthritis Index.
MASSAGE FOR KNEE OA IN VA HEALTH CARE USERS 335
Discussion
This pilot study confirmed the feasibility of delivering a
manualized protocol of Swedish massage for treating VA
health care users with knee OA, with no significant re-
cruitment barriers and both retention and treatment session
completion rates over 90%. Only two participants failed to
complete the full massage intervention, and neither case was
due to perceived inefficacy of the massage therapy. Ac-
ceptability of the intervention was high in this largely male
veteran population, with over 90% of participants indicating
they would like to continue to receive massage as part of
their treatment plan for knee OA.
Although preliminary, the data strongly supported the
potential efficacy of this treatment protocol for improving
outcomes in VA health care users with knee OA. Results
were consistent with findings from our previous studies in a
general population.9,10
Percentages of improvements in
WOMAC scores were well above the minimal clinically
important differences (17%–22%) reported by Angst et al. in
their prospective cohort study of 192 patients with lower
limb OA,17
with a 30% improvement in the global score,
37% improvement on the pain subscale, and 32% im-
provement on the function subscale. Pain interference and
perceived health status also significantly improved over the
course of the study.
This study’s findings raise important considerations for
future studies of massage therapy for chronic pain condi-
tions, such as knee OA. Its strong recruitment, retention, and
feasibility outcomes suggest that veterans need and are
largely receptive to massage as an intervention for pain due
to knee OA. It appears that no study has demonstrated the
feasibility and acceptability of providing professional out-
patient massage for veterans with chronic pain due to knee
OA (or OA in any other joint) and simultaneously provided
strong preliminary results of significant pain reduction.
These combined findings warrant a large-scale randomized
controlled trial to establish the clinical efficacy of massage
for veterans’ knee OA.
Prior studies have also documented the strong interest of
VA patients, providers, and administrators to make massage
therapy available across the VA for patients with chronic
pain. In one large-scale study (n = 401) conducted across
five VA primary care clinics, 202 participants reported
having sought massage for their chronic pain, and 387
participants (97%) reported willingness to try massage
therapy; thus, massage was the most preferred of the com-
plementary and alternative medicine modalities studied
(massage therapy, chiropractic care, herbal medicines, and
acupuncture).18,19
A recent qualitative study of 28 patient
care providers and administrators at a large VA facility rated
massage as the top priority for promotion within the VA
over 18 other modalities.19
In this same study, although
many participants saw lack of funding as a barrier to pro-
viding massage within the VA, others thought funding was
available in response to a well-planned request.
Several strategies for reducing long-term cost of massage
for chronic pain warrant further study. Home-based massage
programs are cost-effective and have demonstrated signifi-
cant reductions in self-reported pain and anxiety in veterans
for conditions that include a substantial mental component
in addition to chronic pain, such as cancer and reintegration
after return from active duty in Iraq or Afghanistan.20,21
Another pilot study in non-veterans recently showed that
home-based massage resulted improved symptoms among
patients with knee OA.22
Larger studies are needed to
evaluate whether home-based massage, either alone or as an
adjunct to professional massage therapy, has benefit for
veterans and others with knee OA. In addition, it would be
useful to evaluate the potential combined effects of massage
therapy (professional or home-based) with other therapies
that could help to sustain benefits, such as mindfulness-
based stress reduction, which is more effective and longer
lasting for mood improvement than massage therapy.23
Finally, this study has several limitations common to pilot
studies, including a small sample size (n = 25), relatively
short intervention duration, and lack of control group.
However, this study provides important preliminary data
about the feasibility and efficacy of Swedish massage in a
vulnerable and understudied patient group. In addition, this
study was limited to Swedish massage techniques. Although
this precludes generalizability to other possible techniques,
it confers the advantage of standardizing the intervention in
a health care system such as the VA.
In conclusion, this pilot study supports the feasibility and
acceptability of Swedish massage among VA health care
users with knee OA. Preliminary data suggest the potential
efficacy of 8 weeks of 1-hour weekly massage for reduced
Table 3. Changes in Secondary Outcome Measures
Variable Pre Post
Patients
(n) p-Value
Change (95% confidence
interval)
EQ-5D-5L 0.60 – .16 0.68 – .15 23 0.002a
0.08 (0.03 to 0.1)
SF-12, PCS 28.1 – 7.5 33.6 – 10.5 13b
0.002a
5.5 (2.4 to 8.6)
SF-12, MCS 43.7 – 18.3 50.7 – 14.9 6b
0.080c
7.0 ( - 1.2 to 15.3)
PROMIS-PI 20.1 – 5.0 17.0 – 5.9 23 0.005a
- 3.2 ( - 5.3 to - 1.1)
Knee range of motion (degrees) 113.9 – 13.0 117.5 – 15.0 23 0.087 3.6 ( - 0.6 to 7.8)
50-ft walk (sec) 13.5 – 2.2 12.8 – 2.4 23 0.121 - 0.7 ( - 1.7 to 0.2)
Values expressed with a plus/minus sign are the mean – standard deviation. Negative values for mean paired difference for PROMIS Pain
Interference and time to walk 50 feet indicate improvement on these measures.
a
Significant at p < 0.05.
b
Standard scoring of the SF-12 specifies that participants with any missing data be dropped from the analysis.
c
Trend in expected direction at p < 0.10.
EQ-5D-5L, the EuroQol health status index; SF-21, 12-Item Short-Form Health Survey; MCS, Mental Composite Score; PCS, Physical
Composite Score; PROMIS-PI, Patient Reported Outcomes Measurement Information System-Pain Interference.
336 JUBERG ET AL.
pain and interference of pain on other aspects of one’s life.
If results are confirmed in a larger randomized trial, massage
could be an important component of regular care for these
patients.
Acknowledgments
Special thanks to Dr. Partap Khalsa and the National
Institutes of Health National Center for Complementary and
Alternative Medicine for supporting this work via grant 3
R01 AT004623-05S2. The authors are grateful to Professor
Carl F. Pieper for providing his input on statistical analysis.
Author Disclosure Statement
No competing financial interests exist.
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Address correspondence to:
Kristin K. Jerger, MD, LMBT
Duke Integrative Medicine
Duke University Medical Center
DUMC 102904
Durham, NC 27710
E-mail: kristin.jerger@duke.edu
Adam I. Perlman, MD, MPH
Duke Integrative Medicine
Duke University Medical Center
DUMC 102904
Durham, NC 27710
E-mail: adam.perlman@duke.edu
(Appendix follows/)
MASSAGE FOR KNEE OA IN VA HEALTH CARE USERS 337
Appendix 1. Study Acceptability: Responses to Closed-Ended Post-Study Questions (n = 23)
Question No Yes % Yes
1. ‘‘Was the schedule of visits (60 minutes/week) convenient for you?’’ 1 22 96
2. ‘‘Would you like to continue massage as part
of the ongoing management of your knee arthritis?’’
2 21 91
3. ‘‘Did you notice any other changes in your health
or other aspects of your life since starting the massage?’’
4 19 83
4. ‘‘If the VA were to offer massage for knee arthritis, how
likely do you think it is that other veterans you know
would want to try this treatment?’’
 Very likely 18 78
 Somewhat likely 2 9
 Not at all likely 0 0
 Don’t know 3 13
VA, Department of Veterans Affairs.
338 JUBERG ET AL.
JOURNAL OF AMERICAN COLLEGE HEALTH, VOL. 62, NO. 4
Major Article
A Randomized Controlled Trial of Koru:
A Mindfulness Program for College Students
and Other Emerging Adults
Jeffrey M. Greeson, PhD; Michael K. Juberg, BA; Margaret Maytan, MD;
Kiera James; Holly Rogers, MD
Abstract. Objective: To evaluate the effectiveness of Koru, a
mindfulness training program for college students and other emerg-
ing adults. Participants: Ninety students (66% female, 62% white,
71% graduate students) participated between Fall 2012 and Spring
2013. Methods: Randomized controlled trial. It was hypothesized
that Koru, compared with a wait-list control group, would reduce
perceived stress and sleep problems, and increase mindfulness,
self-compassion, and gratitude. Results: As hypothesized, results
showed significant Group (Koru, Wait-List) × Time (Pre, Post) in-
teractions for improvements in perceived stress (F[1, 76.40] = 4.50,
p = .037, d = .45), sleep problems (F [1, 79.49] = 4.71, p = .033,
d = .52), mindfulness (F [1, 79.09] = 26.80, p  .001, d = .95),
and self-compassion (F[1, 74.77] = 18.08, p  .001, d = .75). All
significant effects were replicated in the wait-list group. Signifi-
cant correlations were observed among changes in perceived stress,
sleep problems, mindfulness, and self-compassion. Conclusions:
Results support the effectiveness of the Koru program for emerging
adults in the university setting.
Keywords: college health, emerging adulthood, meditation, mind-
fulness, stress management
Dr Greeson and Mr Juberg are with Duke Integrative Medicine
at Duke University Medical Center in Durham, North Carolina, and
the Department of Psychiatry and Behavioral Sciences at Duke Uni-
versity School of Medicine in Durham, North Carolina. Dr Maytan
is with the Department of Psychiatry and Behavioral Sciences at
Duke University School of Medicine in Durham, North Carolina.
Ms James is with Swarthmore College in Swarthmore, Pennsylva-
nia. Dr Rogers is with the Department of Psychiatry and Behavioral
Sciences at Duke University School of Medicine in Durham, North
Carolina, and Duke Counseling and Psychological Services at Duke
University in Durham, North Carolina.
Copyright © 2014 Taylor  Francis Group, LLC
A
ccording to the 2012 National Survey of College
Counseling Centers, 92% of counseling centers
are serving increasing numbers of students each
year, and 88% of directors report a continued trend towards
students presenting with increasing levels of psychopathol-
ogy.1
Counseling centers are feeling this strain despite ev-
idence that only a small percentage of struggling students
seek treatment from university health centers.2,3
The level
of stress amongst students is alarming. About 50% of stu-
dents report significant levels of anxiety and depression,2,4
and 16.5% report a history of suicidal or self-harm behavior.2
Moreover, sleep disturbance is prevalent in college students
and has been proposed as a transdiagnostic risk factor for
poor mental health.5,6
The effects of mental health problems
for students are not insignificant, as students with mental
health challenges have difficulties with campus engagement,
personal relationships, and graduation rates.7
Because of the
magnitude of the problem and the limitations on available
resources, those working in student health and wellness need
creative, developmentally targeted, evidenced-based strate-
gies to effectively reduce stress and improve well-being in
student populations. Mindfulness-based interventions may
play a role in filling this important need.
Mindfulness, the skill of learning to pay attention, with-
out judgment, to one’s present-moment experience, offers a
way to improve well-being in diverse populations.8
Mindful-
ness meditation training has been shown to reduce stress and
improve mood and academic performance in both college
and graduate students.9–12
In the United States, mindfulness-
based stress reduction (MBSR) and variants of MBSR are
the most commonly used methods of teaching mindful-
ness meditation to adults. MBSR was developed by Jon
Kabat-Zinn13
and is effective for improving psychological
222
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A Randomized Controlled Trial of Koru
health, with meta-analyses documenting medium-to-large ef-
fect sizes.14,15
Although there has been work on developing
programs specifically for children and teens,16
there has been
little discussion about targeting mindfulness training specif-
ically towards other critical developmental stages, such as
emerging adulthood.
Emerging adulthood is the developmental stage from the
late teens through the 20s, which includes most college stu-
dents.17
In 2011, 68.2% of graduating high school students
enrolled in postsecondary education, and in the fall of 2011
there were nearly 21 million students enrolled in either 2-
or 4-year degree-granting institutions.18
College-attending
and non–college-attending emerging adults (EAs) have sim-
ilar developmental characteristics,19
and the overall rate of
psychiatric disorders is roughly equivalent between college-
attending individuals and their non–college-attending peers.4
Because the primary emphasis in emerging adulthood is on
identity exploration, this life stage is associated with frequent
changes and uncertainty in all life spheres.19
Mindfulness meditation offers a promising tool for man-
aging the stress that may be associated with the challenges
of emerging adulthood. However, there are no objective data
about what pedagogical methods may be effective for train-
ing EAs in mindfulness. Due to their unique developmental
stage, EAs may not engage readily in training programs that
are designed for older adults due to time constraints, skepti-
cism about the potential benefits, and difficulty maintaining
motivation to effect behavior change.20
To address this dis-
parity, Rogers and Maytan21
have developed Koru, a manual-
ized training program in mindfulness, meditation, and other
mind-body skills, that specifically targets EAs.
Koru is the New Zealand Maori word for the unfurling fern
frond, which symbolizes balanced growth. Koru differs from
mindfulness programs developed for more general popula-
tions of adults in several key ways. First, the program trains
EAs in certain mind-body skills, such as abdominal breathing
and guided imagery, as well as insight meditation practice.
These mind–body skills, for which studies show a positive
effect on stress and anxiety,22,23
give participants tools for
quickly reducing distress, which in turn builds their motiva-
tion to continue practicing stress management and self-care
in daily life. Second, Koru is relatively brief, with only four
75-minute sessions and 10 minutes of required daily medita-
tion practice. The course is highly structured and attendance
at all 4 classes is required. Third, the program is taught in
a small-group format to capitalize on peer interactions that
EAs value. Fourth, the teaching is very active, addressing
skepticism and building motivation quickly. Finally, the lan-
guage and metaphors used are designed to resonate with
the interests and concerns of EAs. In addition to teaching
mindfulness skills to cope with stress, Koru also empha-
sizes cultivating positive emotions such as self-compassion
and gratitude. Both compassion and gratitude are considered
core qualities of mindfulness,24
and have been associated
with lower levels of stress and psychological symptoms and
greater well-being in prior studies.25,26
Koru has been very
popular with students and those who have participated report
positive outcomes on course evaluations.20,21
However, until
now, Koru has not been subjected to rigorous quantitative
evaluation.
The present randomized controlled trial (RCT), therefore,
aimed to evaluate the effectiveness of Koru for EAs in a
university setting. We hypothesized that college and graduate
students who participate in Koru, when compared with a
control group, would show reduced stress, improved sleep,
and increased mindfulness, self-compassion, and gratitude.
METHODS
Study Design
The RCT had 2 study arms: (1) Koru, the active interven-
tion, and (2) a wait-list control. We chose to use a wait-list
control condition to control for the effects of time, because
levels of stress, sleep problems, and even self-concept can
change during an academic semester. Students who were
randomly assigned to the wait-list control group were of-
fered an opportunity to participate in Koru later the same
semester. We felt that this design struck a balance between
scientific rigor, by benefitting from an experimental design
with random assignment to groups, with the use of a cultur-
ally normal wait-list process for the Koru program, which
should optimize motivation and retention.
Following online informed consent, study participants
completed standardized self-report questionnaires via a sur-
vey Web site within 1 week before and after participating
in the 4-week Koru program. The study protocol was con-
ducted between Fall 2012 and Spring 2013. Full approval
by the university’s Institutional Review Board was obtained
prior to data collection.
Students were eligible for the study if they were (a) cur-
rently enrolled as an undergraduate, graduate or professional
student; (b) at least 18 years of age; (c) proficient in En-
glish; (d) able to use a computer with internet access; and
(e) willing to be randomized to either the Koru group or
the wait-list control group. Blocked randomization (block
size = 2) was used to ensure balanced study groups after
every 2 students enrolled. The randomization schedule was
created using Research Randomizer (www.randomizer.org)
and was performed by the study coordinator who kept group
assignments blinded from other study staff who performed
statistical analyses. Following randomization, the study co-
ordinator contacted students to inform them of their group as-
signment. Subsequently, the Koru instructors contacted stu-
dents enrolled in Koru with an introductory e-mail and a
request to begin reading the required text, Wherever You Go,
There You Are by Jon Kabat-Zinn. To protect against social
desirability bias and potential evaluation bias, Koru course
instructors were not directly involved in subject recruitment,
consent, randomization, or data collection procedures.
Power analyses (G∗
Power version 3.1.5; Kiel, Germany)
based on a difference between 2 independent means (2
groups) at a significance level of .05, a desired power of
.80, and a medium-to-large effect size (ie, Cohen’s d = .6)
based on prior meta-analyses, indicated that 45 students per
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group would be required to detect a significant difference for
the Koru versus wait-list control group.27
Participants
Participants were 90 undergraduate, graduate, and profes-
sional students (Mage = 25.4, SD = 5.7; range = 18–59).
Two graduate students, one who was 59 years old and an-
other who was 42, provided baseline survey data but dropped
out before attending the Koru group to which they were ran-
domly assigned. The oldest student who provided complete
pre- and postsurvey data was 31 years old. Seventy-four stu-
dents provided data on the post-Koru survey, a response rate
of 82%.
As shown in Table 1, the sample comprised mostly women
(66%) who were predominantly white (62%) and non-
Hispanic (85%). Half of students reported having no reli-
gious affiliation or being atheist. Nearly three-quarters were
in graduate or professional school. The 2 randomized study
groups did not differ on any demographic characteristics,
except average hours of sleep per night. The Koru group re-
ported sleeping half an hour less per night, which was statis-
tically significant but still within the normal range of healthy
sleep. We defined program completion as attending at least 3
of the 4 Koru classes. There were no significant differences at
baseline between students who completed Koru versus those
who did not. The only outcome variable that differed sig-
nificantly was the Isolation subscale of the Self-compassion
Scale; the group of students that completed the Koru program
reported a mean decrease in their sense of isolation, whereas
the group that attended 2 or less Koru classes reported a mean
increase in their sense of isolation post intervention.
Procedure
The secure, online survey was administered using Qual-
itrics software (Provo, Utah) and included basic demographic
information and a battery of standardized self-report ques-
tionnaires. The questionnaires assessed symptoms of stress,
sleep problems, mindfulness of thoughts and feelings, self-
compassion, and gratitude. Participants were not offered fi-
nancial compensation for completing the surveys.
Intervention
As detailed in a recently published treatment manual,21
the
Koru program is offered at a large university through Coun-
seling and Psychological Services and consists of 4 required
75-minute classes. The classes include 12 to 14 students
taught by 1 or 2 teachers. Students typically participate in
Koru because they are seeking training in mindfulness and
meditation to help reduce stress and enhance psychological
well-being. The Koru program is free of charge, voluntary,
not graded, and students do not receive course credit for par-
ticipating. In addition to attending all 4 weekly small-group
sessions, the Koru program requires a commitment to prac-
ticing meditation for at least 10 minutes daily, completing
and returning a daily meditation log, as well as reading the
required chapters in the course book, Wherever You Go, There
You Are. The meditation log includes space for daily docu-
mentation of 2 things for which the student feels grateful.
During each class, students learn and practice mindfulness
meditation and 1 or 2 mind–body skills, including breathing
exercises, walking meditation, guided imagery, and eating
meditation.
Measures
Perceived Stress Scale (PSS)
The 10-item Perceived Stress Scale (PSS) measures per-
ceived stress over the past month, defined by the degree
to which one feels like life has been unpredictable, uncon-
trollable, or overwhelming. The PSS scores have demon-
strated reliability and construct validity in student samples
and EAs.28
Cronbach’s α was .83 for PSS scores at both time
points.29
Medical Outcome Study Sleep Scale (MOS SLP9)
The sleep scale is one subscale of the Medical Outcomes
Study (MOS) health status measure.30
It consists of 12 items
to measure 6 sleep dimensions: initiation (time to fall asleep),
quantity (hours of sleep each night), maintenance, respira-
tory problems, perceived adequacy of sleep, and somnolence
(daytime sleepiness). The time frame for the responses is
“the past 4 weeks.” The 9-item summary scale (Sleep Prob-
lems Index II) was used for analysis.30
Higher scores indicate
greater sleep problems. Cronbach’s α was .88 for sleep qual-
ity scores at both time points.29
Cognitive and Affective Mindfulness Scale–Revised
(CAMS-R)
The 12-item Cognitive and Affective Mindfulness
Scale–Revised (CAMS-R) was used to measure 4 aspects
of trait mindfulness, including attention, awareness, accep-
tance, and present-focus. Previous psychometric evaluation
of the CAMS-R found scores to be reliable and valid,31
and
a recent outcome study found that the CAMS-R was sensi-
tive to change following MBSR training.32
Cronbach’s α for
CAMS-R scores was .88 at baseline and .80 post interven-
tion.29
Self-compassion Scale (SCS)
The 26-item Self-compassion Scale (SCS)33
was used to
assess participants’ tendency to treat themselves with kind-
ness and understanding rather than harsh judgment and criti-
cism during difficult times, to perceive difficult experience as
part of common humanity, and to consider difficult thoughts
and experiences as separate from the core self. The SCS has
6 subscales (Self-judgment, Self-kindness, Isolation, Com-
mon Humanity, Mindfulness, Over-identification) that can
be summed to attain a total score. SCS scores have been
shown to be reliable and valid in previous studies of col-
lege students.33
The SCS was also sensitive to change with a
mindful self-compassion (MSC) training program.34
Higher
scores on all scales indicate higher levels of self-compassion.
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TABLE 1. Baseline Characteristics of Study Participants
Characteristic Koru group (n = 45) Wait-list group (n = 45) Difference statistic
Age t(84) = 0.81, p = .423
M years 25.75 24.76
SD 6.84 4.15
Gender χ2
(1) = 0.05, p = .842
Male 15 16
Female 30 29
Ethnicity See note
Hispanic 4 1
Non-Hispanic 38 38
Prefer not to answer 3 5
Race χ2
(1) = 0.79, p = .375
White 30 26
African American 3 2
Asian American 10 13
Other 1 3
Prefer not to answer 1 1
Religion χ2
(2) = 2.14, p = .343
No religious affiliation 14 19
Atheist 5 7
Buddhist 1 0
Christian 13 7
Jewish 1 2
Hindu 2 1
Muslim 0 2
Unitarian/Universalist 1 1
Other 2 1
Prefer not to Answer 6 5
Education χ2
(2) = 0.32, p = .852
Undergraduate 1st yr 0 3
Undergraduate 2nd yr 6 2
Undergraduate 3rd yr 4 3
Undergraduate 4th yr 2 5
Undergraduate 5th yr 0 1
Graduate student 20 20
Professional Student 13 11
Sleep t(88) = 2.26, p = .027
M hours per night 7.56 8.09
SD 1.09 1.16
Sleep medication χ2
(1) = 0.34, p = .561
n yes 8 6
% 18% 13%
Note. Chi-square could not be computed for ethnicity due to less than 5 Hispanic students per group. Other demographic categories with less than
5 students each were collapsed as follows. Race: white, racial minority. Religion: no religious affiliation, atheist, religious affiliation. Education:
undergraduate, graduate, professional student.
Cronbach’s α for SCS total scores was .94 at baseline and
.95 post intervention.29
Gratitude Questionnaire (GQ-6)
Dispositional gratitude was measured using the GQ-6,35
which has demonstrated good convergent validity with rele-
vant constructs such as positive affect and prosocial traits.36
Cronbach’s α for GQ-6 scores was .88 both pre and post
intervention.29
Other Measures
Demographic characteristics were assessed at the end of
the online survey, and are reported in Table 1.
Data Analysis
All statistics were performed using IBM SPSS version 20
(Armonk, New York). Variables were screened for distribu-
tional assumptions prior to analysis. All continuous outcome
variables approximated a normal distribution with skewness
and kurtosis less than 2.0. Primary analyses of between-
group effects were tested using linear mixed-effects models,
which provide several statistical advantages over traditional
repeated-measures analysis of variance (ANOVA).37
Group
assignment was treated as a fixed effect and outcome vari-
ables were treated as random effects that could vary within-
person and across time. This analytic strategy, based on
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restricted maximum likelihood estimation, allowed all sub-
jects to be included in the models, even those with missing
data. Therefore, mixed-effects models were consistent with
intent-to-treat principles without requiring imputation, such
as last observation carried forward, which can bias parame-
ter estimates. Mixed-effects modeling also provided the ad-
vantage of accounting for dependence of observations in a
repeated-measures design, a phenomenon that frequently vi-
olates an assumption of traditional ANOVA using the general
linear model.
The primary hypothesis of a significant difference between
groups over time was tested using a Group × Time interaction
effect, which indicated the effectiveness of Koru compared
with a wait-list control. Within the same model runs, t tests
were used to test hypotheses about planned contrasts between
pre- and postintervention scores within the Koru and control
groups, and to test for differences between-groups at base-
line and at the postintervention time point. Effect sizes for
between-group differences over time were calculated using
Cohen’s d and η2
.38
Secondary analyses included within-
group mixed-effects models to replicate the effects of Koru
among wait-listed students who took the program later in
the same semester. Secondary analyses also included corre-
lations among changes in outcomes measures as a function
of randomized group assignment. Consistent with recom-
mendations for clinical trials, statistical significance for all
parameter estimates was set at z = 1.96, α = .05, 2-tailed.39
RESULTS
Baseline Characteristics and Preliminary Analyses
Baseline levels of perceived stress fell more than 1 stan-
dard deviation above the norm for adults between ages 18
and 34 and for adults with an advanced degree.28
Baseline
sleep problems fell nearly 1 standard deviation above the
general population norm.30
Mindfulness scores fell approx-
imately 1 standard deviation below a published norm for
college students,31
and was comparable to a sample of adults
who participated in an 8-week, self-pay MBSR program.32
Self-compassion fell nearly 1 standard deviation below the
college student norm33
and the mean gratitude score was
comparable to the mean reported by scale developers for
college students.35
t tests revealed no significant differences
between groups on primary outcome variables at baseline,
except gratitude, which was significantly higher in the Koru
group (see Table 2). One subscale of the SCS (Common Hu-
manity) was higher in the Koru group at baseline. Data were
relatively normally distributed with all z scores for skewness
and kurtosis less than 2.0.
Figure 1 provides a flow diagram for recruitment and re-
tention throughout the trial. Overall, 90% of students who
enrolled in the study completed the baseline survey and
were randomized. Over 82% of randomized students were
retained. Of the 45 students initially randomized to Koru,
33% attended all 4 classes, 38% attended 3 or more classes,
18% attended 2 classes, and 4% attended only 1 class. Seven
percent (n = 3) did not attend any Koru classes after they
were initially assigned to the group. Of the 45 students who
participated in Koru after being randomized to the wait-list
group, 33% attended all 4 classes, 27% attended 3 or more
classes, 11% attended 2 classes, and 2% attended only 1 class.
Twenty-seven percent of students (n = 12) initially assigned
to the wait-list did not attend any Koru classes when they
were offered the opportunity later in the semester. Consistent
with intent-to-treat, all students who were randomized were
analyzed. No adverse events were reported by any participant
during the study.
Primary Analyses
As hypothesized, there was a significant Group × Time
interaction for change in perceived stress scores (see Table 2).
Whereas perceived stress scores for the control group did
not change over time (t = 0.71, p = .48), perceived stress
decreased significantly in the Koru group (t = 3.62, p =
.001). A medium effect size on perceived stress was observed
for Koru compared with the wait-list control (Table 2), as
evidenced by a half standard deviation larger reduction in
perceived stress scores (d = .45), with 5% of the variance in
perceived stress scores over time explained as a function of
group assignment (η2
= .048).
There was also a significant Group × Time interaction for
change in sleep problems (see Table 2). Whereas sleep quality
scores for the control group did not change over time (t =
0.03, p = .98), overall sleep quality improved significantly
in the Koru group (t = 3.04, p = .003). A medium effect size
on sleep problems was observed for Koru compared with the
wait list control (Table 2), as evidenced by a half–standard
deviation larger reduction in sleep quality scores (d = .52),
with 6% of the variance in sleep quality scores over time
explained as a function of group assignment (η2
= .063).
A significant Group × Time interaction was observed for
change in mindfulness scores (see Table 2). Whereas mind-
fulness scores for the control group did not change over time
(t = 0.59, p = .56), mindfulness increased significantly in
the Koru group (t = −6.60, p  .001). A large effect size
on mindfulness of thoughts and feelings was observed for
Koru compared with the wait-list control (Table 2), as evi-
denced by a 1 standard deviation larger increase in CAMS-R
mindfulness scores (d = −.95), with 18% of the variance
in mindfulness scores over time explained as a function of
group assignment (η2
= .184).
A significant Group × Time interaction was also observed
for change in self-compassion scores (see Table 2). Whereas
self-compassion total scores for the control group did not
change over time (t = −0.20, p = .84), they improved sig-
nificantly in the Koru group (t = −6.38, p  .001). A large
effect size on total self-compassion scores was observed for
Koru compared with the wait-list control (Table 2), as evi-
denced by a three-quarter standard deviation larger increase
in total self-compassion scores (d = −.75), with 12% of the
variance in total self-compassion scores over time explained
as a function of group assignment (η2
= .123).
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TABLE2.ChangesinOutcomeVariablesforKoruandWait-ListControlGroups
KorugroupWait-listcontrol
Mixed-modelANOVA
PrePostPrePost(Group×Time)
OutcomeMSDMSDMSDMSDFpdη2
Perceivedstress23.715.6520.43∗
6.2025.665.6525.045.9676.40.04.45.048
Sleepproblems41.3616.2132.52∗
18.0642.9116.2142.8417.2379.49.03.52.063
Mindfulness28.695.6333.77∗
6.0627.225.6326.795.8779.09.00−.95.184
Self-compassion(total)2.730.663.25∗
0.702.610.662.620.6820.07.00−.75.123
Self-kindness2.640.773.20∗
0.842.470.772.550.809.20.00−.06.083
CommonHumanity2.790.843.14∗
0.902.410.842.65†
0.870.51.48−.13.004
Mindfulness3.070.763.46∗
0.822.860.762.850.808.03.01−.51.061
Self-judgment2.670.793.28∗
0.872.740.792.640.8315.39.00−.86.156
Isolation2.540.883.16∗
0.952.550.882.460.9117.56.00−.79.135
Over-identification2.680.853.30∗
0.912.610.852.600.8816.81.00−.72.115
Gratitude35.936.9636.327.5132.586.9632.317.260.24.62−.09.002
Note.Preandpostscoresfrommixed-effectsmodelsareshownasestimatedmarginalmeans(SD).StatisticsareshownforGroup×Timeeffect,whichtestedfortheeffectivenessofKoruovertime
comparedwiththewait-listcontrol.Cohen’sd=differencebetweenpre-postchangeinKoruandpre-postchangeinwait-listdividedbypooledSD.Range:.20=small,.50=medium,.80=large.38η2
rangeforpercentvarianceexplainedinoutcomeduetogroupassignment:.01=small,.06=medium,.14=large.38Higherscoresforallself-compassionscalesindicatehigherlevelsofself-compassion.
∗p.005;†p.05forwithin-groupchangesbypairedttest(seetext).
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Assessed for Eligibility/Enrolled
(n = 101)
Excluded (n = 11)
Lost to Follow-Up (n = 11)
Not meeting inclusion criteria (n = 0)
Declined to participate (n = 0)
Analyzed (n = 45)
Lost to Follow-Up (n = 0)
Discontinued Intervention due to
Scheduling Conflicts (n = 6)
Assigned to Koru Group (n = 45)
Received allocated intervention
(n = 42)
Did not receive allocated intervention (n = 3)
Lost to Follow-Up (n = 7)
Discontinued Intervention due to
Scheduling conflicts (n = 7)
Missed Survey Deadline (n = 1)
Assigned to Wait-List Control (n = 45)
Received allocated intervention later
(n = 33)
Did not receive allocated intervention
(n = 12)
Analyzed (n = 45)
Allocation
Analysis
Follow-Up
Randomized (n = 90)
Enrollment
FIGURE 1. CONSORT flowchart of participants retained at each phase of the trial (color figure available online).
To examine the sources of change in overall levels
of self-compassion, we ran separate mixed-effects models
on each of the self-compassion subscales (see Table 2).
Whereas the wait-list control group only reported a sig-
nificant pre–post change on 1 subscale, Common Human-
ity, the Koru group reported significant pre–post changes
on all 6 subscales: increased Self-kindness, Common Hu-
manity, and Mindfulness, and decreased Self-judgment, Iso-
lation, and Over-identification (see Table 2). Effect sizes
for SCS subscales fell in the medium range for Self-
kindness and Mindfulness, and in the large range for Self-
judgment, Isolation, and Over-identification. The Common
Humanity subscale, which improved significantly for both
groups, showed a small effect size in favor of Koru (see
Table 2).
The Group × Time interaction for change in gratitude
was not statistically significant. Neither group reported a
significant pre–post change in gratitude (see Table 2).
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Secondary Analyses
Mixed-effects models on students originally assigned to
the wait list (n = 45) who took Koru later in the semester
replicated all significant effects observed among students
who were randomized to take Koru first. Within-subjects
analyses modeled change over 3 time points: baseline, post
wait-list, and post Koru. Significant effects of time (all p val-
ues  .005) were accounted for by significant changes from
time 2 to time 3 for the following variables: PSS (t = 3.56,
p = .001), sleep problems (t = 12.75, p  .001), mindful-
ness (t = 5.08, p  .001), self-compassion total (t = 6.24, p
 .001), self-judgment (t = 4.37, p  .001), isolation (t =
4.70, p  .001), over-identification (t = 4.10, p  .001), self-
kindness (t = 3.68, p  .001), and mindfulness (t = 4.14, p
 .001). Consistent with students randomized to take Koru
first, students randomized to take Koru later in the semester
had large effects sizes (within-subjects Cohen’s d = t/
√
n) for
changes in mindfulness (d = .76) and total self-compassion
scores (d = .93), and medium effect sizes for perceived stress
(d = .53) and most self-compassion subscales (d = .55–.70).
The effect size for improvement in sleep problems was sub-
stantially larger (d = 1.90), and the effect on an increased
sense of common humanity was marginally significant (t =
1.96, p = .054) with a small effect size (d = .29).
As expected, numerous significant correlations were ob-
served between changes in perceived stress, sleep problems,
mindfulness, and self-compassion among students originally
randomized to Koru (see Table 3). Notably, changes in mind-
fulness, self-compassion total scores, self-judgment, and
over-identification were significantly correlated with all other
outcome variables (except gratitude) in the Koru group. In
contrast, compared with students randomly assigned to Koru,
students assigned to the wait-list group reported fewer than
half as many significant correlations (see Table 3). These
findings are consistent with the hypothesis that improvements
in stress, sleep, mindfulness, and compassion are interrelated
during Koru.
COMMENT
Emerging adulthood, the transitional stage between high
school and adulthood, has been defined as a distinct de-
velopmental stage with unique needs and challenges.17,19
This age group struggles with concerning levels of stress-
related psychological conditions, including anxiety,40
depres-
sion,2
and sleep disturbance.5
Mindfulness-based interven-
tions have proved effective for reducing stress in university
students.41
The main results from this RCT found that Koru,
a new mindfulness training program designed specifically for
EAs, produced significant improvements in perceived stress,
sleep quality, mindfulness, and self-compassion in a univer-
sity student cohort of EAs. Gratitude was not measurably
affected. Koru was well liked by students as reflected by
high enrollment and retention in the study.
The results of this trial replicate and extend previous stud-
ies of meditation and mindfulness training for university stu-
dents. For example, the significant effect on lowering per-
ceived stress was similar in magnitude to a published RCT on
college students that compared the effect of 2 meditation pro-
grams with a wait-list control group.9
Lower perceived stress
following participation in Koru is also consistent with another
wait-list controlled trial with medical students.10
Other RCTs
that found significant reductions in perceived stress and psy-
chological distress included a 6-week mind–body program
based on the relaxation response and cognitive-behavioral
therapy skills42
and a 3-arm trial that compared 5 sessions of
mindfulness meditation training, somatic relaxation training,
and a wait-list control.43
Thus, the significant stress reducing
effect of Koru in this study was comparable to other, often
longer, stress management and skill building programs for
students.
Koru also produced a significant decrease in sleep prob-
lems, an effect that has previously been limited to uncon-
trolled studies.44
Whereas RCTs of MBSR and mindfulness-
based cognitive therapy (MBCT) have recently documented
improvements in objective measures of sleep quality among
adult populations with insomnia45
and depression,46
the
present study adds to the literature by demonstrating that
improvement in subjective sleep quality among university
students is directly correlated with increased levels of mind-
fulness and self-compassion.
Consistent with a recent meta-analysis of over 12,000
participants in mindfulness-based therapies, Koru produced
clinically significant effect sizes on multiple measures of psy-
chological well-being.14
The largest effect sizes in this study
were seen for increases in mindfulness and self-compassion.
The increase in mindfulness with Koru was comparable to
increases in mindfulness seen with an 8-week MBSR pro-
gram,32
an 8-week MBCT program,47
and an 8-week MSC
program.34
Although Koru’s relatively large effect size for
self-compassion (d = .75) was substantially less than that for
MSC (d = 1.67), it had somewhat stronger effects on mind-
fulness and stress. This difference may reflect that Koru does
not specifically target self-compassion, but rather mindful
attention, awareness, relaxation, and self-regulation. Nev-
ertheless, changes in self-compassion in this study were
comparable to those seen in other primary mindfulness in-
terventions such as MBSR.48
Given the association between
higher levels of self-compassion and better psychological
well-being,25,34
this study suggests that Koru may promote
student health, in part, by helping EAs develop a health-
ier way of relating to themselves in difficult times—a way
marked by greater self-kindness and less self-judgment; a
greater sense of connection through common humanity and
less isolation; and better emotional balance through greater
mindfulness and less over-identification with one’s problems.
Secondary findings demonstrated that all of the signif-
icant effects observed in a group of students randomized
to receive Koru could be replicated in wait-listed students
later in the same semester. Moreover, correlations among
improvements in perceived stress, sleep problems, mindful-
ness, and self-compassion were predominantly significant
in the Koru group. This finding indicates that Koru-related
benefits in mental and behavioral health are interdependent.
VOL 62, MAY/JUNE 2014 229
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Greeson et al
TABLE3.CorrelationsAmongStudyVariablesforKoruGroup(n=35)BelowDiagonalandWait-ListControl(n=39)AboveDiagonal
1234567891011
1.Perceivedstress(PSS)—.322∗
−.142.199−.094.161.241−.275†
−.267−.243−.164
2.Sleepproblems(MOS).313†
—.059−.250−.238−.021−.019−.138.013−.334∗
.100
3.Mindfulness(CAMS)−.611∗∗∗
−.450∗∗
—.496∗∗
.454∗∗
.123.361∗
.187.098.315†
.057
4.Self-compassion(total)−.459∗∗
−.405∗
.711∗∗
—.661∗∗
.060.565∗∗
.731∗∗
.426∗∗
.536∗∗
.239
5.Self-kindness(SCS)−.322†
−.335∗
.613∗∗
.821∗∗
—.039.537∗∗
.253−.096.207−.070
6.CommonHumanity(SCS)−.243−.309†
.523∗∗
.628∗∗
.416∗
—.191−.354∗
−.145−.192−.277†
7.Mindfulness(SCS)−.255−.262.594∗∗
.799∗∗
.657∗∗
.553∗∗
—.145−.052.024−.025
8.Self-judgment(SCS)−.486∗∗
−.334∗
.582∗∗
.881∗∗
.642∗∗
.487∗∗
.568∗∗
—.456∗∗
.459∗∗
.417∗∗
9.Isolation(SCS)−.388∗
−.196.462∗∗
.642∗∗
.396∗
.077.400∗
.563∗∗
—.048.266
10.Over-identification(SCS)−.378∗
−.444∗∗
.505∗∗
.825∗∗
.624∗
.427∗
.593∗∗
.691∗∗
.508∗∗
—.293†
11.Gratitude(GQ-6)−.203−.286†
.276.241.143.329†
.118.222.174.117—
Note.PSS=PerceivedStressScale;MOS=MedicalOutcomesStudy;CAMS=CognitiveandAffectiveMindfulnessScale;SCS=Self-compassionScale;GQ-6=GratitudeQuestionnaire.
†p.10;∗p.05;∗∗p.01;∗∗∗p.001.
230 JOURNAL OF AMERICAN COLLEGE HEALTH
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A Randomized Controlled Trial of Koru
Taken together, the significant changes in perceived stress,
sleep, mindfulness and self-compassion with Koru suggest
that tailoring mindfulness training to emerging adulthood by
incorporating other mind–body skills, using fewer class ses-
sions, requiring shorter but mandatory home practice as well
as a course text, and contextualizing mindfulness training to
reflect common interests and concerns of EAs is an effective
strategy.
The relative brevity of the training model may contribute
to the high retention rates and thus effectiveness of Koru. Stu-
dents identify time pressures as one of the primary reasons
for not seeking help for mental health concerns.3
Thus, Koru
was designed to be as efficient as possible. Koru involves
5 hours of class time over 4 weeks, plus the expectation of
10 minutes of practice/day. In comparison, MBSR involves
27 hours of class time over 8 weeks, plus the expectation of
45 minutes/day of meditation practice.49
The decreased time
requirement of Koru appears to work well for young adults
who are juggling competing pressures. The present study
demonstrates that significant results can be achieved within a
relatively short, 4-week time frame. Others have found bene-
fits with brief exposure to mindfulness training. For example,
one 5-session training model that included a daylong med-
itation retreat found significant decreases in psychological
distress and rumination, and significant increases in positive
mood, among undergraduate and graduate students reporting
distress.43
Another recent study found reductions in anxiety
and associated neural correlates with only 4 20-minute mind-
fulness trainings.50
The relatively high retention rate of 82%
in our study may reflect the appeal of Koru for EAs.
Strengths and Limitations
The strengths of the study included a randomized experi-
mental design, adequate statistical power provided by a rela-
tively large sample size, inclusion of all available data from
all randomized subjects, and relatively high levels of program
adherence and survey completion. Limitations included re-
liance on self-report surveys for primary outcome measures,
which are susceptible to recall bias; limited diversity in the
student sample, which precludes broader generalizability;
and use of pre- and postintervention measures, which lim-
its understanding of when beneficial effects started to occur
and how long beneficial effects might last after Koru train-
ing. Future research can build on the present study by using
an objective measure of mindfulness, such as monitoring
breaths or heart beat while practicing meditation,51
enrolling
a more diverse group of students, and including both interim
and follow-up assessments to better describe the process and
durability of change following Koru.
Conclusion
College students make up a substantial fraction of the
EA demographic.18
A large proportion of college students
report significant stress-related mental health concerns, in-
cluding anxiety and depression.41
These types of mental
health concerns impact students both interpersonally and
academically.7
Mindfulness-based interventions are known
to provide significant improvement in anxiety, depression,
and stress reactivity in adults and university student popu-
lations.41,52
Only a small percentage of struggling students
receive treatment from university health centers2,3
; therefore,
it is critical that a broader range of mental-health outreach
services be provided for students. The results of this study
show that Koru, a relatively brief, developmentally targeted
mindfulness program, was effective at reducing symptoms of
stress, enhancing psychological well-being, and promoting
sleep—a key health behavior—for EAs who are students in a
university setting. These findings support Koru as a viable in-
tervention for student counseling centers and other agencies
that seek to provide cost-effective, low-stigma interventions
for students suffering from unmanageable levels of stress.
Further research is needed to explore the effectiveness of
Koru in other EA populations in community colleges, his-
torically black colleges and universities, and nonacademic
settings.
ACKNOWLEDGMENTS
We thank the staff at Duke Counseling and Psychological
Services, including the director of outreach services Gary
Glass, PhD, and the administrative assistant for outreach ser-
vices, Mary Cicinnati. We also thank all of the undergraduate,
graduate, and professional students who volunteered their
valuable time to participate in the trial and complete our sur-
vey. Finally, we thank Karen Caldwell, PhD, for assistance
with SPSS code for the mixed-effects models, and Dennis
Carmody, BA, for technical assistance with randomization
procedures and database management.
FUNDING
This work was supported by grant R00 AT004945 from
the National Center for Complementary and Alternative
Medicine (NCCAM) to JMG. The contents of this article
are solely the responsibility of the authors and do not neces-
sarily represent the official views of the National Institutes
of Health (NIH).
CONFLICT OF INTEREST DISCLOSURE
After completing the current research study, Dr Rogers
co-founded the Koru Center for Mindfulness, of which she
has an ownership share; if Koru is found to be an effective
intervention, she could benefit financially. Dr Maytan has
received compensation for teaching from the Koru Center
for Mindfulness. Dr Greeson, Mr Juberg, and Ms James,
who were responsible for collecting and analyzing the data
for this study, report no financial relationship relevant to the
subject of this article. The authors confirm that the research
presented in this article met the ethical guidelines, including
adherence to the legal requirements, of the United States and
received approval from the Institutional Review Board of
Duke University.
VOL 62, MAY/JUNE 2014 231
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Greeson et al
NOTE
For comments and further information, address corre-
spondence to Jeffrey M. Greeson, PhD, Duke Integra-
tive Medicine, Duke University Medical Center, DUMC
Box 102904, Durham, NC 27710, USA (e-mail: jef-
frey.greeson@duke.edu; jeffreymgreeson@gmail.com).
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Received: 22 June 2013
Revised: 12 January 2014
Accepted: 20 January 2014
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


 

            
            
          
             
         
           
            
             
            
            
        
             





 




 

 
 
 
 


              
          
             
          
             
              
          
            
          
             
            
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
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 

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 

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

 


 
 

 

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 
 
  
 
 
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

           
           
              
           
       
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Pilot Study of Massage in Veterans with Knee Osteoarthritis

  • 1. Pilot Study of Massage in Veterans with Knee Osteoarthritis Michael Juberg, BA,1 Kristin K. Jerger, MD, LMBT,1 Kelli D. Allen, PhD,2,3 Natalia O. Dmitrieva, PhD,4 Teresa Keever, BSN, RN,1 and Adam I. Perlman, MD, MPH1 Abstract Objectives: To (1) assess the feasibility and acceptability of Swedish massage among Department of Veterans Affairs (VA) health care users with knee osteoarthritis (OA) and (2) collect preliminary data on efficacy of Swedish massage in this patient group. Design: Experimental pilot study. Setting: Duke Integrative Medicine clinic and VA Medical Center, Durham, North Carolina. Patients: Twenty-five veterans with symptomatic knee OA. Interventions: Eight weekly 1-hour sessions of full-body Swedish massage. Outcome measures: Primary: Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and global pain (Visual Analog Scale [VAS]). Secondary: National Institutes of Health Patient Reported Outcomes Measurement Information System-Pain Interference Questionnaire 6b (PROMIS-PI 6b), 12-Item Short-Form Health Survey (SF-12 v1) and the EuroQol health status index (EQ-5D-5L), knee range of motion (ROM), and time to walk 50 feet. Results: Study feasibility was established by a 92% retention rate with 99% of massage visits and 100% of research visits completed. Results showed significant improvements in self-reported OA-related pain, stiffness and function (30% improvement in Global WOMAC scores; p = 0.001) and knee pain over the past 7 days (36% improvement in VAS score; p < 0.001). PROMIS-PI, EQ-5D-5L, and physical composite score of the SF-12 also significantly improved ( p < 0.01 for all), while the mental composite score of the SF-12 and knee ROM showed trends toward significant improvement. Time to walk 50 feet did not significantly improve. Conclusions: Results of this pilot study support the feasibility and acceptability of Swedish massage among VA health care users as well as preliminary data suggesting its efficacy for reducing pain due to knee OA. If results are confirmed in a larger randomized trial, massage could be an important component of regular care for these patients. Introduction Osteoarthritis (OA) affects nearly 27 million Americans, and its prevalence is expected to rise con- siderably in the next several decades.1 Knee OA is particu- larly common, with a lifetime risk of 45%.2 OA in general, and knee OA in particular, is more common in U.S. military veterans than in the general population, and Department of Veterans Affairs (VA) health care users are at particularly high risk.3 In addition, VA health care users with arthritis (most commonly knee OA) have more severe symptoms and activity limitations.4 In veterans, OA (including knee OA) commonly co-occurs with other chronic pain conditions, post-traumatic stress disorder, and substance abuse.5 Currently, a variety of conventional treatment options for knee OA are available, including pain medication, cortico- steroid injections, physical therapy, exercise, weight man- agement, and joint replacement surgery.6 When traditional treatment approaches are used, many patients with knee OA continue to experience symptoms such as chronic pain and 1 Duke Integrative Medicine, Duke University Medical Center, Durham, NC. 2 Department of Medicine, Division of Rheumatology, and Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC. 3 Health Services Research and Development Service, Durham Veterans Affairs Medical Center, Durham, NC. 4 Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. THE JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE Volume 21, Number 6, 2015, pp. 333–338 ª Mary Ann Liebert, Inc. DOI: 10.1089/acm.2014.0254 333
  • 2. functional limitations that reduce quality of life.7 Accord- ingly, there remains a pressing need to identify additional effective, conservative treatments for knee OA that improve pain, functioning, and overall well-being in these patients. Massage therapy is effective for musculoskeletal disor- ders, such as chronic back and neck pain,8 and is an effec- tive treatment for managing pain associated with knee OA.9 For massage to be integrated into a comprehensive pain management program, a systematic approach and dosage of massage therapy needs to be established. A prior study dem- onstrated the efficacy of a specific manualized protocol of Swedish massage for improving pain, stiffness, and func- tioning due to knee OA in non-veterans.9 A subsequent study established an optimal dosage for the protocol: eight weekly 1-hour sessions.10 Although there is promising evidence for massage as an effective treatment for knee OA, further studies must evaluate its effectiveness in diverse patient groups. VA health care users are an important patient group for studying this treat- ment for several reasons. First, given VA health care users’ particularly high risk for activity-limiting knee OA, it is im- portant to identify effective interventions for this vulnerable patient group. Second, the demographic profile of VA health care users differs substantially from that of participant sam- ples in previous studies of massage for knee OA.9,10 Most of these patients are men, and the acceptability of massage in this group has not been sufficiently evaluated. Third, VA health care users with knee OA have higher levels of physical and psychological comorbidities that could influence or be affected by massage.5 This pilot study evaluated a previously established massage therapy protocol in a new population: VA health care users with knee OA. Core objectives of this study were to (1) assess the feasibility and acceptability of Swedish massage among VA health care users with knee OA and (2) collect preliminary data on the efficacy of Swedish massage in this patient group. Materials and Methods This was a single group pilot study, with all participants receiving a 1-hour-per-week intervention of Swedish mas- sage for 8 weeks. Assessments were conducted before and after the intervention. The institutional review boards of Duke University and the Durham VA Medical Center re- viewed and approved the study. Participants Primary eligibility requirements included (1) VA health care users; (2) age ‡ 35 years; (3) written confirmation of OA of the knee per American College of Rheumatology criteria6 provided by the participant’s physician; (4) ra- diographically established OA of the knee; and (5) a pre- randomization score in a specified range on the Visual Analog Scale (VAS; ‡ 40mm and £ 90 mm on a 40–100 mm scale). For patients with bilateral knee involvement, the study knee was determined by the patient as being the more prob- lematic/painful knee. Exclusion criteria included (1) any intra- articular knee depo-corticosteroid within the last 3 months, (2) intra-articular hyaluronate within the past 6 months, (3) ar- throscopy within the past year, (4) knee replacement surgery, (5) significant injury within the past 6 months, and (6) pres- ence of a rash or open wound over the knee. Participants missing the research visit or three or more massage visits could be withdrawn from the study at the discretion of the study principal investigator. Patients with knee OA at the Durham VA Medical Center were recruited by using two methods. First, posters were displayed in clinic waiting rooms and other common areas of the medical center. Second, invitation letters were sent to patients who were identified as having knee OA from Durham VA electronic medical records. These letters pro- vided basic information about the study and invited patients to call if they were interested in participating. The first 25 eligible participants to send a letter from their physician verifying their diagnosis of knee OA were enrolled in the study. Participants meeting all criteria gave written informed consent before enrolling in the study. Study design and treatment Participants received eight weekly 1-hour Swedish mas- sages at Duke Integrative Medicine’s clinical facilities, 1 mile from the Durham VA Medical Center. Massage therapists were certified by the National Certification Board for Therapeutic Massage & Bodywork adhered to a manualized massage protocol previously tested to treat OA of the knee.10 Therapists announced their next technique or position in order to minimize potential client startle in a population with high prevalence of post-traumatic stress disorder. Each study therapist signed a form attesting to adherence to the study protocol after each massage session. The primary outcome measure used to assess OA-related pain, stiffness, and function was the Western Ontario and McMaster University Arthritis Index (WOMAC) global score (VAS version). The WOMAC has been subject to numerous validation studies to assess reliability and re- sponsiveness to change in therapy, including physical forms of therapy.11 In addition, participants were asked to respond to the question, ‘‘How much pain have you had because of your knee in the past week?’’ using a 100-point VAS. Secondary outcomes included measures of other domains of high relevance to patients with knee OA: the National Institutes of Health Patient Reported Outcomes Measure- ment Information System-Pain Interference Questionnaire 6b (PROMIS-PI 6b).12 This instrument consists of six questions that follow the format, ‘‘In the past 7 days, how much did pain interfere with [insert category]?’’ and allows responses on a 5-point scale (1 = not at all/never, 5 = very much/always). The six categories include enjoyment of life, ability to concentrate, day-to-day activities, enjoyment of recreational activities, doing tasks away from home (e.g., getting groceries, running errands), and socializing with others. Measures used to assess change in perceived health status included EQ-5D-5L,13 a non–disease-specific instru- ment for describing and valuing health-related quality of life, and the Short Form-12 (SF-12), version 1.14 The SF-12 Health Survey is a 12-item subset of the SF-36 that mea- sures the same eight domains of health as the longer scale. It is a brief, reliable measure of overall health status which is useful in large population health surveys and has been used extensively as a screening tool. Knee range of motion (ROM), measured manually with a goniometer to the onset of stiffness, and 50-foot walk test were also measured. Maximal walking speed is a more reliable and predictive 334 JUBERG ET AL.
  • 3. measure of walking ability than walking at a comfortable pace.15,16 Participants were asked to walk as fast as they safely could with or without a walking aid. They were timed from a standing start until the point at which they walked through the 50-foot (15.24-meter) marker. Additional post- study questions were asked of all participants during the final visit to assess study acceptability (Appendix 1). Statistical analysis Paired-samples t tests were used to examine the effects of treatment on change in outcomes at baseline and immedi- ately after the intervention. In all analyses, statistical sig- nificance is reported using a two-tailed a level of 0.05 or less, and the 95% confidence interval for all parameter es- timates are provided. All analyses were carried out by using SAS software, version 9.3 (SAS Institute, Cary, NC). Results Feasibility and participant characteristics Of the 104 potential participants completing the telephone screening, 56 were determined to be eligible (41 were ineli- gible and 7 declined participation), and the first 25 (n = 25) to submit a letter from their physician confirming the diagnosis of OA by radiography were enrolled. Among the 25 study participants, the mean age was 57.0 (standard deviation, 12.0); most participants were men (68%), 52% were black or African American, and 68% were not employed (Table 1). During the study, 1 participant withdrew, and another par- ticipant was withdrawn by the principal investigator after missing three consecutive appointments. The remaining 23 participants (92%) completed the study. Study feasibility was established by the 92% retention rate with 99% of massage visits and 100% of research visits completed. Primary outcome measures Participants’ mean WOMAC global score improved by 30% ( p = 0.001), as shown in Table 2. Significant improve- ment was observed on all subscales of the WOMAC index, including the pain subscale ( p < 0.001), stiffness subscale ( p = 0.006), and the function subscale ( p < 0.001). Partici- pants’ VAS scores also showed an average improvement of 36% ( p < 0.001). Secondary outcome measures Perceived health status as measured with the EQ-5D-5L and the SF-12 also improved significantly (Table 3). Im- provements in the SF-12 physical composite score reached statistical significance ( p < 0.01). However, improvements in the SF-12 mental component score only exhibited a trend toward improvement ( p = 0.080). The PROMIS-PI 6b (Table 3) showed a 15% improvement ( p < 0.01). A trend in the expected direction was observed for knee ROM, but this did not reach statistical significance ( p = 0.087). There was no significant change in the 50-foot walk test ( p = 0.121). Responses to post-study questions confirmed acceptabil- ity, feasibility, and a positive response to the treatment (full questions and responses listed in Appendix 1; n = 23 for all questions). These questions were not part of a standardized instrument but were developed specifically for this study to assess aspects of patient satisfaction that were important to evaluate in the context of this pilot/feasibility study. An overwhelming majority of respondents answered ‘‘yes’’ to the following questions: ‘‘Would you like to continue mas- sage as part of the on-going management of your knee ar- thritis?’’ (91%) and ‘‘Was the schedule of visits (60 minutes/ week) convenient for you?’’ (96%). When asked about the likelihood that other veterans would want to try massage if it were offered at the VA, 87% re- sponded that it was very likely or somewhat likely, and 83% of respondents answered ‘‘yes’’ to the post-study question: ‘‘Did you notice any other changes in your health or other aspects of your life since starting the massage?’’ Table 1. Patient Characteristics Characteristic Value Total sample (n) 25 Mean age at baseline (yr) 56.96 – 11.98 Mean BMI (kg/m2 ) 31.58 – 7.71 Men, n (%) 17 (68) Hispanic ethnicity, n (%) 0 (0) Race, n (%) American Indian/Alaska Native 0 (0) Asian 1 (4) Black or African American 13 (52) Native Hawaiian or other Pacific Islander 0 (0) White 11 (44) Currently employed (working for pay), n (%) 8 (32) Values are expressed as the mean – standard deviation or number (percentage) of patients. BMI, body–mass index. Table 2. Changes in Primary Outcome Measures Variable Mean before (SD) Mean after (SD) Mean paired difference (95% CI) p-Value Percent improvement WOMAC Global 66.4 (13.8) 45.4 (22.6) - 21.0 ( - 32.2 to - 9.9) 0.001* 30 Pain 63.0 (14.8) 42.0 (27.3) - 22.5 ( - 33.6 to - 11.4) < 0.001* 37 Stiffness 69.1 (18.0) 52.8 (24.0) - 16.3 ( - 27.5 to - 5.2) 0.006* 21 Function 65.0 (13.7) 41.5 (21.0) - 23.6 ( - 35.0 to - 12.2) < 0.001* 32 VAS 69.4 (13.8) 43.0 (25.1) - 26.4 ( - 38.5 to - 14.2) < 0.001* 36 *Indicates significance at level p < 0.05. CI, confidence interval; SD, standard deviation; VAS, visual analog scale; WOMAC, Western Ontario and McMaster University Osteoarthritis Index. MASSAGE FOR KNEE OA IN VA HEALTH CARE USERS 335
  • 4. Discussion This pilot study confirmed the feasibility of delivering a manualized protocol of Swedish massage for treating VA health care users with knee OA, with no significant re- cruitment barriers and both retention and treatment session completion rates over 90%. Only two participants failed to complete the full massage intervention, and neither case was due to perceived inefficacy of the massage therapy. Ac- ceptability of the intervention was high in this largely male veteran population, with over 90% of participants indicating they would like to continue to receive massage as part of their treatment plan for knee OA. Although preliminary, the data strongly supported the potential efficacy of this treatment protocol for improving outcomes in VA health care users with knee OA. Results were consistent with findings from our previous studies in a general population.9,10 Percentages of improvements in WOMAC scores were well above the minimal clinically important differences (17%–22%) reported by Angst et al. in their prospective cohort study of 192 patients with lower limb OA,17 with a 30% improvement in the global score, 37% improvement on the pain subscale, and 32% im- provement on the function subscale. Pain interference and perceived health status also significantly improved over the course of the study. This study’s findings raise important considerations for future studies of massage therapy for chronic pain condi- tions, such as knee OA. Its strong recruitment, retention, and feasibility outcomes suggest that veterans need and are largely receptive to massage as an intervention for pain due to knee OA. It appears that no study has demonstrated the feasibility and acceptability of providing professional out- patient massage for veterans with chronic pain due to knee OA (or OA in any other joint) and simultaneously provided strong preliminary results of significant pain reduction. These combined findings warrant a large-scale randomized controlled trial to establish the clinical efficacy of massage for veterans’ knee OA. Prior studies have also documented the strong interest of VA patients, providers, and administrators to make massage therapy available across the VA for patients with chronic pain. In one large-scale study (n = 401) conducted across five VA primary care clinics, 202 participants reported having sought massage for their chronic pain, and 387 participants (97%) reported willingness to try massage therapy; thus, massage was the most preferred of the com- plementary and alternative medicine modalities studied (massage therapy, chiropractic care, herbal medicines, and acupuncture).18,19 A recent qualitative study of 28 patient care providers and administrators at a large VA facility rated massage as the top priority for promotion within the VA over 18 other modalities.19 In this same study, although many participants saw lack of funding as a barrier to pro- viding massage within the VA, others thought funding was available in response to a well-planned request. Several strategies for reducing long-term cost of massage for chronic pain warrant further study. Home-based massage programs are cost-effective and have demonstrated signifi- cant reductions in self-reported pain and anxiety in veterans for conditions that include a substantial mental component in addition to chronic pain, such as cancer and reintegration after return from active duty in Iraq or Afghanistan.20,21 Another pilot study in non-veterans recently showed that home-based massage resulted improved symptoms among patients with knee OA.22 Larger studies are needed to evaluate whether home-based massage, either alone or as an adjunct to professional massage therapy, has benefit for veterans and others with knee OA. In addition, it would be useful to evaluate the potential combined effects of massage therapy (professional or home-based) with other therapies that could help to sustain benefits, such as mindfulness- based stress reduction, which is more effective and longer lasting for mood improvement than massage therapy.23 Finally, this study has several limitations common to pilot studies, including a small sample size (n = 25), relatively short intervention duration, and lack of control group. However, this study provides important preliminary data about the feasibility and efficacy of Swedish massage in a vulnerable and understudied patient group. In addition, this study was limited to Swedish massage techniques. Although this precludes generalizability to other possible techniques, it confers the advantage of standardizing the intervention in a health care system such as the VA. In conclusion, this pilot study supports the feasibility and acceptability of Swedish massage among VA health care users with knee OA. Preliminary data suggest the potential efficacy of 8 weeks of 1-hour weekly massage for reduced Table 3. Changes in Secondary Outcome Measures Variable Pre Post Patients (n) p-Value Change (95% confidence interval) EQ-5D-5L 0.60 – .16 0.68 – .15 23 0.002a 0.08 (0.03 to 0.1) SF-12, PCS 28.1 – 7.5 33.6 – 10.5 13b 0.002a 5.5 (2.4 to 8.6) SF-12, MCS 43.7 – 18.3 50.7 – 14.9 6b 0.080c 7.0 ( - 1.2 to 15.3) PROMIS-PI 20.1 – 5.0 17.0 – 5.9 23 0.005a - 3.2 ( - 5.3 to - 1.1) Knee range of motion (degrees) 113.9 – 13.0 117.5 – 15.0 23 0.087 3.6 ( - 0.6 to 7.8) 50-ft walk (sec) 13.5 – 2.2 12.8 – 2.4 23 0.121 - 0.7 ( - 1.7 to 0.2) Values expressed with a plus/minus sign are the mean – standard deviation. Negative values for mean paired difference for PROMIS Pain Interference and time to walk 50 feet indicate improvement on these measures. a Significant at p < 0.05. b Standard scoring of the SF-12 specifies that participants with any missing data be dropped from the analysis. c Trend in expected direction at p < 0.10. EQ-5D-5L, the EuroQol health status index; SF-21, 12-Item Short-Form Health Survey; MCS, Mental Composite Score; PCS, Physical Composite Score; PROMIS-PI, Patient Reported Outcomes Measurement Information System-Pain Interference. 336 JUBERG ET AL.
  • 5. pain and interference of pain on other aspects of one’s life. If results are confirmed in a larger randomized trial, massage could be an important component of regular care for these patients. Acknowledgments Special thanks to Dr. Partap Khalsa and the National Institutes of Health National Center for Complementary and Alternative Medicine for supporting this work via grant 3 R01 AT004623-05S2. The authors are grateful to Professor Carl F. Pieper for providing his input on statistical analysis. Author Disclosure Statement No competing financial interests exist. References 1. Lawrence RC, Felson DT, Helmick CG, et al. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum 2008;58:26–35. 2. Murphy L, Schwartz TA, Helmick CG, et al. Lifetime risk of symptomatic knee osteoarthritis. Arthritis Rheum 2008; 59:1207–1213. 3. Cameron KL, Hsiao MS, Owens BD, et al. Incidence of physician-diagnosed osteoarthritis among active duty Uni- ted States military service members. Arthritis Rheum 2011; 63:2974–2982. 4. Dominick KL, Golightly YM, Jackson GL. Arthritis prev- alence and symptoms among US non-veterans, veterans, and veterans receiving Department of Veterans Affairs Healthcare. J Rheumatol 2006;33:348–354. 5. David D, Woodward C, Esquenazi J, et al. Comparison of comorbid physical illnesses among veterans with PTSD and veterans with alcohol dependence. Psychiatr Serv 2004; 55:82–85. 6. Hochberg MC, Altman RD, April KT, et al. American College of Rheumatology 2012 recommendations for the use of nonpharmacologic and pharmacologic therapies in osteoarthritis of the hand, hip, and knee. Arthritis Care Res (Hoboken) 2012;64:465–474. 7. Richmond J, Hunter D, Irrgang J, et al. Treatment of os- teoarthritis of the knee (nonarthroplasty). J Am Acad Or- thop Surg 2009;17:591–600. 8. Sherman KJ, Cook AJ, Wellman RD, et al. Five-week outcomes from a dosing trial of therapeutic massage for chronic neck pain. Ann Fam Med 2014;12:112–120. 9. Perlman AI, Sabina A, Williams AL, et al. Massage therapy for osteoarthritis of the knee: a randomized controlled trial. Arch Intern Med 2006;166:2533–2538. 10. Perlman AI, Ali A, Njike VY, et al. Massage therapy for osteoarthritis of the knee: a randomized dose-finding trial. PLoS One 2012;7:e30248. 11. Bellamy N. The WOMAC Knee and Hip Osteoarthritis Indices: Development, validation, globalization and influ- ence on the development of the AUSCAN Hand Osteoar- thritis Indices. Clin Exp Rheumatol 2005;23:S148–153. 12. Broderick JE, Schneider S, Junghaenel DU, et al. Validity and reliability of patient-reported outcomes measurement information system instruments in osteoarthritis. Arthritis Care Res (Hoboken) 2013;65:1625–1633. 13. Fransen M, Edmonds J. Reliability and validity of the EuroQol in patients with osteoarthritis of the knee. Rheu- matology (Oxford) 1999;38:807–813. 14. Stewart AL, Ware JE Jr. Measuring Functioning and Well- Being: The Medical Outcomes Study Approach. Durham, NC: Duke University Press; 1992. 15. Gill S, McBurney H. Reliability of performance-based measures in people awaiting joint replacement surgery of the hip or knee. Physiother Res Int 2008;13:141–152. 16. Fransen M, Crosbie J, Edmonds J. Reliability of gait measurements in people with osteoarthritis of the knee. Phys Ther 1997;77:944–953. 17. Angst F, Aeschlimann A, Michel BA, et al. Minimal clinically important rehabilitation effects in patients with osteoarthritis of the lower extremities. J Rheumatol 2002;29:131–138. 18. Denneson LM, Corson K, Dobscha SK. Complementary and alternative medicine use among veterans with chronic noncancer pain. J Rehabil Res Dev 2011;48:1119–1128. 19. Fletcher CE, Mitchinson AR, Trumble EL, et al. Percep- tions of providers and administrators in the Veterans Health Administration regarding complementary and alternative medicine. Med Care 2014;52:S91–96. 20. Collinge W, Kahn J, Soltysik R. Promoting reintegration of National Guard veterans and their partners using a self- directed program of integrative therapies: a pilot study. Mil Med 2012;177:1477–1485. 21. Kozak L, Vig E, Simons C, et al. A feasibility study of caregiver-provided massage as supportive care for Veterans with cancer. J Support Oncol 2013;11:133–143. 22. Atkins DV, Eichler DA. The effects of self-massage on osteoarthritis of the knee: a randomized, controlled trial. Int J Ther Massage Bodywork 2013;6:4–14. 23. Plews-Ogan M, Owens JE, Goodman M, et al. A pilot study evaluating mindfulness-based stress reduction and massage for the management of chronic pain. J Gen Intern Med 2005;20:1136–1138. Address correspondence to: Kristin K. Jerger, MD, LMBT Duke Integrative Medicine Duke University Medical Center DUMC 102904 Durham, NC 27710 E-mail: kristin.jerger@duke.edu Adam I. Perlman, MD, MPH Duke Integrative Medicine Duke University Medical Center DUMC 102904 Durham, NC 27710 E-mail: adam.perlman@duke.edu (Appendix follows/) MASSAGE FOR KNEE OA IN VA HEALTH CARE USERS 337
  • 6. Appendix 1. Study Acceptability: Responses to Closed-Ended Post-Study Questions (n = 23) Question No Yes % Yes 1. ‘‘Was the schedule of visits (60 minutes/week) convenient for you?’’ 1 22 96 2. ‘‘Would you like to continue massage as part of the ongoing management of your knee arthritis?’’ 2 21 91 3. ‘‘Did you notice any other changes in your health or other aspects of your life since starting the massage?’’ 4 19 83 4. ‘‘If the VA were to offer massage for knee arthritis, how likely do you think it is that other veterans you know would want to try this treatment?’’ Very likely 18 78 Somewhat likely 2 9 Not at all likely 0 0 Don’t know 3 13 VA, Department of Veterans Affairs. 338 JUBERG ET AL.
  • 7. JOURNAL OF AMERICAN COLLEGE HEALTH, VOL. 62, NO. 4 Major Article A Randomized Controlled Trial of Koru: A Mindfulness Program for College Students and Other Emerging Adults Jeffrey M. Greeson, PhD; Michael K. Juberg, BA; Margaret Maytan, MD; Kiera James; Holly Rogers, MD Abstract. Objective: To evaluate the effectiveness of Koru, a mindfulness training program for college students and other emerg- ing adults. Participants: Ninety students (66% female, 62% white, 71% graduate students) participated between Fall 2012 and Spring 2013. Methods: Randomized controlled trial. It was hypothesized that Koru, compared with a wait-list control group, would reduce perceived stress and sleep problems, and increase mindfulness, self-compassion, and gratitude. Results: As hypothesized, results showed significant Group (Koru, Wait-List) × Time (Pre, Post) in- teractions for improvements in perceived stress (F[1, 76.40] = 4.50, p = .037, d = .45), sleep problems (F [1, 79.49] = 4.71, p = .033, d = .52), mindfulness (F [1, 79.09] = 26.80, p .001, d = .95), and self-compassion (F[1, 74.77] = 18.08, p .001, d = .75). All significant effects were replicated in the wait-list group. Signifi- cant correlations were observed among changes in perceived stress, sleep problems, mindfulness, and self-compassion. Conclusions: Results support the effectiveness of the Koru program for emerging adults in the university setting. Keywords: college health, emerging adulthood, meditation, mind- fulness, stress management Dr Greeson and Mr Juberg are with Duke Integrative Medicine at Duke University Medical Center in Durham, North Carolina, and the Department of Psychiatry and Behavioral Sciences at Duke Uni- versity School of Medicine in Durham, North Carolina. Dr Maytan is with the Department of Psychiatry and Behavioral Sciences at Duke University School of Medicine in Durham, North Carolina. Ms James is with Swarthmore College in Swarthmore, Pennsylva- nia. Dr Rogers is with the Department of Psychiatry and Behavioral Sciences at Duke University School of Medicine in Durham, North Carolina, and Duke Counseling and Psychological Services at Duke University in Durham, North Carolina. Copyright © 2014 Taylor Francis Group, LLC A ccording to the 2012 National Survey of College Counseling Centers, 92% of counseling centers are serving increasing numbers of students each year, and 88% of directors report a continued trend towards students presenting with increasing levels of psychopathol- ogy.1 Counseling centers are feeling this strain despite ev- idence that only a small percentage of struggling students seek treatment from university health centers.2,3 The level of stress amongst students is alarming. About 50% of stu- dents report significant levels of anxiety and depression,2,4 and 16.5% report a history of suicidal or self-harm behavior.2 Moreover, sleep disturbance is prevalent in college students and has been proposed as a transdiagnostic risk factor for poor mental health.5,6 The effects of mental health problems for students are not insignificant, as students with mental health challenges have difficulties with campus engagement, personal relationships, and graduation rates.7 Because of the magnitude of the problem and the limitations on available resources, those working in student health and wellness need creative, developmentally targeted, evidenced-based strate- gies to effectively reduce stress and improve well-being in student populations. Mindfulness-based interventions may play a role in filling this important need. Mindfulness, the skill of learning to pay attention, with- out judgment, to one’s present-moment experience, offers a way to improve well-being in diverse populations.8 Mindful- ness meditation training has been shown to reduce stress and improve mood and academic performance in both college and graduate students.9–12 In the United States, mindfulness- based stress reduction (MBSR) and variants of MBSR are the most commonly used methods of teaching mindful- ness meditation to adults. MBSR was developed by Jon Kabat-Zinn13 and is effective for improving psychological 222 Downloadedby[98.115.143.186]at11:4809May2014
  • 8. A Randomized Controlled Trial of Koru health, with meta-analyses documenting medium-to-large ef- fect sizes.14,15 Although there has been work on developing programs specifically for children and teens,16 there has been little discussion about targeting mindfulness training specif- ically towards other critical developmental stages, such as emerging adulthood. Emerging adulthood is the developmental stage from the late teens through the 20s, which includes most college stu- dents.17 In 2011, 68.2% of graduating high school students enrolled in postsecondary education, and in the fall of 2011 there were nearly 21 million students enrolled in either 2- or 4-year degree-granting institutions.18 College-attending and non–college-attending emerging adults (EAs) have sim- ilar developmental characteristics,19 and the overall rate of psychiatric disorders is roughly equivalent between college- attending individuals and their non–college-attending peers.4 Because the primary emphasis in emerging adulthood is on identity exploration, this life stage is associated with frequent changes and uncertainty in all life spheres.19 Mindfulness meditation offers a promising tool for man- aging the stress that may be associated with the challenges of emerging adulthood. However, there are no objective data about what pedagogical methods may be effective for train- ing EAs in mindfulness. Due to their unique developmental stage, EAs may not engage readily in training programs that are designed for older adults due to time constraints, skepti- cism about the potential benefits, and difficulty maintaining motivation to effect behavior change.20 To address this dis- parity, Rogers and Maytan21 have developed Koru, a manual- ized training program in mindfulness, meditation, and other mind-body skills, that specifically targets EAs. Koru is the New Zealand Maori word for the unfurling fern frond, which symbolizes balanced growth. Koru differs from mindfulness programs developed for more general popula- tions of adults in several key ways. First, the program trains EAs in certain mind-body skills, such as abdominal breathing and guided imagery, as well as insight meditation practice. These mind–body skills, for which studies show a positive effect on stress and anxiety,22,23 give participants tools for quickly reducing distress, which in turn builds their motiva- tion to continue practicing stress management and self-care in daily life. Second, Koru is relatively brief, with only four 75-minute sessions and 10 minutes of required daily medita- tion practice. The course is highly structured and attendance at all 4 classes is required. Third, the program is taught in a small-group format to capitalize on peer interactions that EAs value. Fourth, the teaching is very active, addressing skepticism and building motivation quickly. Finally, the lan- guage and metaphors used are designed to resonate with the interests and concerns of EAs. In addition to teaching mindfulness skills to cope with stress, Koru also empha- sizes cultivating positive emotions such as self-compassion and gratitude. Both compassion and gratitude are considered core qualities of mindfulness,24 and have been associated with lower levels of stress and psychological symptoms and greater well-being in prior studies.25,26 Koru has been very popular with students and those who have participated report positive outcomes on course evaluations.20,21 However, until now, Koru has not been subjected to rigorous quantitative evaluation. The present randomized controlled trial (RCT), therefore, aimed to evaluate the effectiveness of Koru for EAs in a university setting. We hypothesized that college and graduate students who participate in Koru, when compared with a control group, would show reduced stress, improved sleep, and increased mindfulness, self-compassion, and gratitude. METHODS Study Design The RCT had 2 study arms: (1) Koru, the active interven- tion, and (2) a wait-list control. We chose to use a wait-list control condition to control for the effects of time, because levels of stress, sleep problems, and even self-concept can change during an academic semester. Students who were randomly assigned to the wait-list control group were of- fered an opportunity to participate in Koru later the same semester. We felt that this design struck a balance between scientific rigor, by benefitting from an experimental design with random assignment to groups, with the use of a cultur- ally normal wait-list process for the Koru program, which should optimize motivation and retention. Following online informed consent, study participants completed standardized self-report questionnaires via a sur- vey Web site within 1 week before and after participating in the 4-week Koru program. The study protocol was con- ducted between Fall 2012 and Spring 2013. Full approval by the university’s Institutional Review Board was obtained prior to data collection. Students were eligible for the study if they were (a) cur- rently enrolled as an undergraduate, graduate or professional student; (b) at least 18 years of age; (c) proficient in En- glish; (d) able to use a computer with internet access; and (e) willing to be randomized to either the Koru group or the wait-list control group. Blocked randomization (block size = 2) was used to ensure balanced study groups after every 2 students enrolled. The randomization schedule was created using Research Randomizer (www.randomizer.org) and was performed by the study coordinator who kept group assignments blinded from other study staff who performed statistical analyses. Following randomization, the study co- ordinator contacted students to inform them of their group as- signment. Subsequently, the Koru instructors contacted stu- dents enrolled in Koru with an introductory e-mail and a request to begin reading the required text, Wherever You Go, There You Are by Jon Kabat-Zinn. To protect against social desirability bias and potential evaluation bias, Koru course instructors were not directly involved in subject recruitment, consent, randomization, or data collection procedures. Power analyses (G∗ Power version 3.1.5; Kiel, Germany) based on a difference between 2 independent means (2 groups) at a significance level of .05, a desired power of .80, and a medium-to-large effect size (ie, Cohen’s d = .6) based on prior meta-analyses, indicated that 45 students per VOL 62, MAY/JUNE 2014 223 Downloadedby[98.115.143.186]at11:4809May2014
  • 9. Greeson et al group would be required to detect a significant difference for the Koru versus wait-list control group.27 Participants Participants were 90 undergraduate, graduate, and profes- sional students (Mage = 25.4, SD = 5.7; range = 18–59). Two graduate students, one who was 59 years old and an- other who was 42, provided baseline survey data but dropped out before attending the Koru group to which they were ran- domly assigned. The oldest student who provided complete pre- and postsurvey data was 31 years old. Seventy-four stu- dents provided data on the post-Koru survey, a response rate of 82%. As shown in Table 1, the sample comprised mostly women (66%) who were predominantly white (62%) and non- Hispanic (85%). Half of students reported having no reli- gious affiliation or being atheist. Nearly three-quarters were in graduate or professional school. The 2 randomized study groups did not differ on any demographic characteristics, except average hours of sleep per night. The Koru group re- ported sleeping half an hour less per night, which was statis- tically significant but still within the normal range of healthy sleep. We defined program completion as attending at least 3 of the 4 Koru classes. There were no significant differences at baseline between students who completed Koru versus those who did not. The only outcome variable that differed sig- nificantly was the Isolation subscale of the Self-compassion Scale; the group of students that completed the Koru program reported a mean decrease in their sense of isolation, whereas the group that attended 2 or less Koru classes reported a mean increase in their sense of isolation post intervention. Procedure The secure, online survey was administered using Qual- itrics software (Provo, Utah) and included basic demographic information and a battery of standardized self-report ques- tionnaires. The questionnaires assessed symptoms of stress, sleep problems, mindfulness of thoughts and feelings, self- compassion, and gratitude. Participants were not offered fi- nancial compensation for completing the surveys. Intervention As detailed in a recently published treatment manual,21 the Koru program is offered at a large university through Coun- seling and Psychological Services and consists of 4 required 75-minute classes. The classes include 12 to 14 students taught by 1 or 2 teachers. Students typically participate in Koru because they are seeking training in mindfulness and meditation to help reduce stress and enhance psychological well-being. The Koru program is free of charge, voluntary, not graded, and students do not receive course credit for par- ticipating. In addition to attending all 4 weekly small-group sessions, the Koru program requires a commitment to prac- ticing meditation for at least 10 minutes daily, completing and returning a daily meditation log, as well as reading the required chapters in the course book, Wherever You Go, There You Are. The meditation log includes space for daily docu- mentation of 2 things for which the student feels grateful. During each class, students learn and practice mindfulness meditation and 1 or 2 mind–body skills, including breathing exercises, walking meditation, guided imagery, and eating meditation. Measures Perceived Stress Scale (PSS) The 10-item Perceived Stress Scale (PSS) measures per- ceived stress over the past month, defined by the degree to which one feels like life has been unpredictable, uncon- trollable, or overwhelming. The PSS scores have demon- strated reliability and construct validity in student samples and EAs.28 Cronbach’s α was .83 for PSS scores at both time points.29 Medical Outcome Study Sleep Scale (MOS SLP9) The sleep scale is one subscale of the Medical Outcomes Study (MOS) health status measure.30 It consists of 12 items to measure 6 sleep dimensions: initiation (time to fall asleep), quantity (hours of sleep each night), maintenance, respira- tory problems, perceived adequacy of sleep, and somnolence (daytime sleepiness). The time frame for the responses is “the past 4 weeks.” The 9-item summary scale (Sleep Prob- lems Index II) was used for analysis.30 Higher scores indicate greater sleep problems. Cronbach’s α was .88 for sleep qual- ity scores at both time points.29 Cognitive and Affective Mindfulness Scale–Revised (CAMS-R) The 12-item Cognitive and Affective Mindfulness Scale–Revised (CAMS-R) was used to measure 4 aspects of trait mindfulness, including attention, awareness, accep- tance, and present-focus. Previous psychometric evaluation of the CAMS-R found scores to be reliable and valid,31 and a recent outcome study found that the CAMS-R was sensi- tive to change following MBSR training.32 Cronbach’s α for CAMS-R scores was .88 at baseline and .80 post interven- tion.29 Self-compassion Scale (SCS) The 26-item Self-compassion Scale (SCS)33 was used to assess participants’ tendency to treat themselves with kind- ness and understanding rather than harsh judgment and criti- cism during difficult times, to perceive difficult experience as part of common humanity, and to consider difficult thoughts and experiences as separate from the core self. The SCS has 6 subscales (Self-judgment, Self-kindness, Isolation, Com- mon Humanity, Mindfulness, Over-identification) that can be summed to attain a total score. SCS scores have been shown to be reliable and valid in previous studies of col- lege students.33 The SCS was also sensitive to change with a mindful self-compassion (MSC) training program.34 Higher scores on all scales indicate higher levels of self-compassion. 224 JOURNAL OF AMERICAN COLLEGE HEALTH Downloadedby[98.115.143.186]at11:4809May2014
  • 10. A Randomized Controlled Trial of Koru TABLE 1. Baseline Characteristics of Study Participants Characteristic Koru group (n = 45) Wait-list group (n = 45) Difference statistic Age t(84) = 0.81, p = .423 M years 25.75 24.76 SD 6.84 4.15 Gender χ2 (1) = 0.05, p = .842 Male 15 16 Female 30 29 Ethnicity See note Hispanic 4 1 Non-Hispanic 38 38 Prefer not to answer 3 5 Race χ2 (1) = 0.79, p = .375 White 30 26 African American 3 2 Asian American 10 13 Other 1 3 Prefer not to answer 1 1 Religion χ2 (2) = 2.14, p = .343 No religious affiliation 14 19 Atheist 5 7 Buddhist 1 0 Christian 13 7 Jewish 1 2 Hindu 2 1 Muslim 0 2 Unitarian/Universalist 1 1 Other 2 1 Prefer not to Answer 6 5 Education χ2 (2) = 0.32, p = .852 Undergraduate 1st yr 0 3 Undergraduate 2nd yr 6 2 Undergraduate 3rd yr 4 3 Undergraduate 4th yr 2 5 Undergraduate 5th yr 0 1 Graduate student 20 20 Professional Student 13 11 Sleep t(88) = 2.26, p = .027 M hours per night 7.56 8.09 SD 1.09 1.16 Sleep medication χ2 (1) = 0.34, p = .561 n yes 8 6 % 18% 13% Note. Chi-square could not be computed for ethnicity due to less than 5 Hispanic students per group. Other demographic categories with less than 5 students each were collapsed as follows. Race: white, racial minority. Religion: no religious affiliation, atheist, religious affiliation. Education: undergraduate, graduate, professional student. Cronbach’s α for SCS total scores was .94 at baseline and .95 post intervention.29 Gratitude Questionnaire (GQ-6) Dispositional gratitude was measured using the GQ-6,35 which has demonstrated good convergent validity with rele- vant constructs such as positive affect and prosocial traits.36 Cronbach’s α for GQ-6 scores was .88 both pre and post intervention.29 Other Measures Demographic characteristics were assessed at the end of the online survey, and are reported in Table 1. Data Analysis All statistics were performed using IBM SPSS version 20 (Armonk, New York). Variables were screened for distribu- tional assumptions prior to analysis. All continuous outcome variables approximated a normal distribution with skewness and kurtosis less than 2.0. Primary analyses of between- group effects were tested using linear mixed-effects models, which provide several statistical advantages over traditional repeated-measures analysis of variance (ANOVA).37 Group assignment was treated as a fixed effect and outcome vari- ables were treated as random effects that could vary within- person and across time. This analytic strategy, based on VOL 62, MAY/JUNE 2014 225 Downloadedby[98.115.143.186]at11:4809May2014
  • 11. Greeson et al restricted maximum likelihood estimation, allowed all sub- jects to be included in the models, even those with missing data. Therefore, mixed-effects models were consistent with intent-to-treat principles without requiring imputation, such as last observation carried forward, which can bias parame- ter estimates. Mixed-effects modeling also provided the ad- vantage of accounting for dependence of observations in a repeated-measures design, a phenomenon that frequently vi- olates an assumption of traditional ANOVA using the general linear model. The primary hypothesis of a significant difference between groups over time was tested using a Group × Time interaction effect, which indicated the effectiveness of Koru compared with a wait-list control. Within the same model runs, t tests were used to test hypotheses about planned contrasts between pre- and postintervention scores within the Koru and control groups, and to test for differences between-groups at base- line and at the postintervention time point. Effect sizes for between-group differences over time were calculated using Cohen’s d and η2 .38 Secondary analyses included within- group mixed-effects models to replicate the effects of Koru among wait-listed students who took the program later in the same semester. Secondary analyses also included corre- lations among changes in outcomes measures as a function of randomized group assignment. Consistent with recom- mendations for clinical trials, statistical significance for all parameter estimates was set at z = 1.96, α = .05, 2-tailed.39 RESULTS Baseline Characteristics and Preliminary Analyses Baseline levels of perceived stress fell more than 1 stan- dard deviation above the norm for adults between ages 18 and 34 and for adults with an advanced degree.28 Baseline sleep problems fell nearly 1 standard deviation above the general population norm.30 Mindfulness scores fell approx- imately 1 standard deviation below a published norm for college students,31 and was comparable to a sample of adults who participated in an 8-week, self-pay MBSR program.32 Self-compassion fell nearly 1 standard deviation below the college student norm33 and the mean gratitude score was comparable to the mean reported by scale developers for college students.35 t tests revealed no significant differences between groups on primary outcome variables at baseline, except gratitude, which was significantly higher in the Koru group (see Table 2). One subscale of the SCS (Common Hu- manity) was higher in the Koru group at baseline. Data were relatively normally distributed with all z scores for skewness and kurtosis less than 2.0. Figure 1 provides a flow diagram for recruitment and re- tention throughout the trial. Overall, 90% of students who enrolled in the study completed the baseline survey and were randomized. Over 82% of randomized students were retained. Of the 45 students initially randomized to Koru, 33% attended all 4 classes, 38% attended 3 or more classes, 18% attended 2 classes, and 4% attended only 1 class. Seven percent (n = 3) did not attend any Koru classes after they were initially assigned to the group. Of the 45 students who participated in Koru after being randomized to the wait-list group, 33% attended all 4 classes, 27% attended 3 or more classes, 11% attended 2 classes, and 2% attended only 1 class. Twenty-seven percent of students (n = 12) initially assigned to the wait-list did not attend any Koru classes when they were offered the opportunity later in the semester. Consistent with intent-to-treat, all students who were randomized were analyzed. No adverse events were reported by any participant during the study. Primary Analyses As hypothesized, there was a significant Group × Time interaction for change in perceived stress scores (see Table 2). Whereas perceived stress scores for the control group did not change over time (t = 0.71, p = .48), perceived stress decreased significantly in the Koru group (t = 3.62, p = .001). A medium effect size on perceived stress was observed for Koru compared with the wait-list control (Table 2), as evidenced by a half standard deviation larger reduction in perceived stress scores (d = .45), with 5% of the variance in perceived stress scores over time explained as a function of group assignment (η2 = .048). There was also a significant Group × Time interaction for change in sleep problems (see Table 2). Whereas sleep quality scores for the control group did not change over time (t = 0.03, p = .98), overall sleep quality improved significantly in the Koru group (t = 3.04, p = .003). A medium effect size on sleep problems was observed for Koru compared with the wait list control (Table 2), as evidenced by a half–standard deviation larger reduction in sleep quality scores (d = .52), with 6% of the variance in sleep quality scores over time explained as a function of group assignment (η2 = .063). A significant Group × Time interaction was observed for change in mindfulness scores (see Table 2). Whereas mind- fulness scores for the control group did not change over time (t = 0.59, p = .56), mindfulness increased significantly in the Koru group (t = −6.60, p .001). A large effect size on mindfulness of thoughts and feelings was observed for Koru compared with the wait-list control (Table 2), as evi- denced by a 1 standard deviation larger increase in CAMS-R mindfulness scores (d = −.95), with 18% of the variance in mindfulness scores over time explained as a function of group assignment (η2 = .184). A significant Group × Time interaction was also observed for change in self-compassion scores (see Table 2). Whereas self-compassion total scores for the control group did not change over time (t = −0.20, p = .84), they improved sig- nificantly in the Koru group (t = −6.38, p .001). A large effect size on total self-compassion scores was observed for Koru compared with the wait-list control (Table 2), as evi- denced by a three-quarter standard deviation larger increase in total self-compassion scores (d = −.75), with 12% of the variance in total self-compassion scores over time explained as a function of group assignment (η2 = .123). 226 JOURNAL OF AMERICAN COLLEGE HEALTH Downloadedby[98.115.143.186]at11:4809May2014
  • 12. A Randomized Controlled Trial of Koru TABLE2.ChangesinOutcomeVariablesforKoruandWait-ListControlGroups KorugroupWait-listcontrol Mixed-modelANOVA PrePostPrePost(Group×Time) OutcomeMSDMSDMSDMSDFpdη2 Perceivedstress23.715.6520.43∗ 6.2025.665.6525.045.9676.40.04.45.048 Sleepproblems41.3616.2132.52∗ 18.0642.9116.2142.8417.2379.49.03.52.063 Mindfulness28.695.6333.77∗ 6.0627.225.6326.795.8779.09.00−.95.184 Self-compassion(total)2.730.663.25∗ 0.702.610.662.620.6820.07.00−.75.123 Self-kindness2.640.773.20∗ 0.842.470.772.550.809.20.00−.06.083 CommonHumanity2.790.843.14∗ 0.902.410.842.65† 0.870.51.48−.13.004 Mindfulness3.070.763.46∗ 0.822.860.762.850.808.03.01−.51.061 Self-judgment2.670.793.28∗ 0.872.740.792.640.8315.39.00−.86.156 Isolation2.540.883.16∗ 0.952.550.882.460.9117.56.00−.79.135 Over-identification2.680.853.30∗ 0.912.610.852.600.8816.81.00−.72.115 Gratitude35.936.9636.327.5132.586.9632.317.260.24.62−.09.002 Note.Preandpostscoresfrommixed-effectsmodelsareshownasestimatedmarginalmeans(SD).StatisticsareshownforGroup×Timeeffect,whichtestedfortheeffectivenessofKoruovertime comparedwiththewait-listcontrol.Cohen’sd=differencebetweenpre-postchangeinKoruandpre-postchangeinwait-listdividedbypooledSD.Range:.20=small,.50=medium,.80=large.38η2 rangeforpercentvarianceexplainedinoutcomeduetogroupassignment:.01=small,.06=medium,.14=large.38Higherscoresforallself-compassionscalesindicatehigherlevelsofself-compassion. ∗p.005;†p.05forwithin-groupchangesbypairedttest(seetext). VOL 62, MAY/JUNE 2014 227 Downloadedby[98.115.143.186]at11:4809May2014
  • 13. Greeson et al Assessed for Eligibility/Enrolled (n = 101) Excluded (n = 11) Lost to Follow-Up (n = 11) Not meeting inclusion criteria (n = 0) Declined to participate (n = 0) Analyzed (n = 45) Lost to Follow-Up (n = 0) Discontinued Intervention due to Scheduling Conflicts (n = 6) Assigned to Koru Group (n = 45) Received allocated intervention (n = 42) Did not receive allocated intervention (n = 3) Lost to Follow-Up (n = 7) Discontinued Intervention due to Scheduling conflicts (n = 7) Missed Survey Deadline (n = 1) Assigned to Wait-List Control (n = 45) Received allocated intervention later (n = 33) Did not receive allocated intervention (n = 12) Analyzed (n = 45) Allocation Analysis Follow-Up Randomized (n = 90) Enrollment FIGURE 1. CONSORT flowchart of participants retained at each phase of the trial (color figure available online). To examine the sources of change in overall levels of self-compassion, we ran separate mixed-effects models on each of the self-compassion subscales (see Table 2). Whereas the wait-list control group only reported a sig- nificant pre–post change on 1 subscale, Common Human- ity, the Koru group reported significant pre–post changes on all 6 subscales: increased Self-kindness, Common Hu- manity, and Mindfulness, and decreased Self-judgment, Iso- lation, and Over-identification (see Table 2). Effect sizes for SCS subscales fell in the medium range for Self- kindness and Mindfulness, and in the large range for Self- judgment, Isolation, and Over-identification. The Common Humanity subscale, which improved significantly for both groups, showed a small effect size in favor of Koru (see Table 2). The Group × Time interaction for change in gratitude was not statistically significant. Neither group reported a significant pre–post change in gratitude (see Table 2). 228 JOURNAL OF AMERICAN COLLEGE HEALTH Downloadedby[98.115.143.186]at11:4809May2014
  • 14. A Randomized Controlled Trial of Koru Secondary Analyses Mixed-effects models on students originally assigned to the wait list (n = 45) who took Koru later in the semester replicated all significant effects observed among students who were randomized to take Koru first. Within-subjects analyses modeled change over 3 time points: baseline, post wait-list, and post Koru. Significant effects of time (all p val- ues .005) were accounted for by significant changes from time 2 to time 3 for the following variables: PSS (t = 3.56, p = .001), sleep problems (t = 12.75, p .001), mindful- ness (t = 5.08, p .001), self-compassion total (t = 6.24, p .001), self-judgment (t = 4.37, p .001), isolation (t = 4.70, p .001), over-identification (t = 4.10, p .001), self- kindness (t = 3.68, p .001), and mindfulness (t = 4.14, p .001). Consistent with students randomized to take Koru first, students randomized to take Koru later in the semester had large effects sizes (within-subjects Cohen’s d = t/ √ n) for changes in mindfulness (d = .76) and total self-compassion scores (d = .93), and medium effect sizes for perceived stress (d = .53) and most self-compassion subscales (d = .55–.70). The effect size for improvement in sleep problems was sub- stantially larger (d = 1.90), and the effect on an increased sense of common humanity was marginally significant (t = 1.96, p = .054) with a small effect size (d = .29). As expected, numerous significant correlations were ob- served between changes in perceived stress, sleep problems, mindfulness, and self-compassion among students originally randomized to Koru (see Table 3). Notably, changes in mind- fulness, self-compassion total scores, self-judgment, and over-identification were significantly correlated with all other outcome variables (except gratitude) in the Koru group. In contrast, compared with students randomly assigned to Koru, students assigned to the wait-list group reported fewer than half as many significant correlations (see Table 3). These findings are consistent with the hypothesis that improvements in stress, sleep, mindfulness, and compassion are interrelated during Koru. COMMENT Emerging adulthood, the transitional stage between high school and adulthood, has been defined as a distinct de- velopmental stage with unique needs and challenges.17,19 This age group struggles with concerning levels of stress- related psychological conditions, including anxiety,40 depres- sion,2 and sleep disturbance.5 Mindfulness-based interven- tions have proved effective for reducing stress in university students.41 The main results from this RCT found that Koru, a new mindfulness training program designed specifically for EAs, produced significant improvements in perceived stress, sleep quality, mindfulness, and self-compassion in a univer- sity student cohort of EAs. Gratitude was not measurably affected. Koru was well liked by students as reflected by high enrollment and retention in the study. The results of this trial replicate and extend previous stud- ies of meditation and mindfulness training for university stu- dents. For example, the significant effect on lowering per- ceived stress was similar in magnitude to a published RCT on college students that compared the effect of 2 meditation pro- grams with a wait-list control group.9 Lower perceived stress following participation in Koru is also consistent with another wait-list controlled trial with medical students.10 Other RCTs that found significant reductions in perceived stress and psy- chological distress included a 6-week mind–body program based on the relaxation response and cognitive-behavioral therapy skills42 and a 3-arm trial that compared 5 sessions of mindfulness meditation training, somatic relaxation training, and a wait-list control.43 Thus, the significant stress reducing effect of Koru in this study was comparable to other, often longer, stress management and skill building programs for students. Koru also produced a significant decrease in sleep prob- lems, an effect that has previously been limited to uncon- trolled studies.44 Whereas RCTs of MBSR and mindfulness- based cognitive therapy (MBCT) have recently documented improvements in objective measures of sleep quality among adult populations with insomnia45 and depression,46 the present study adds to the literature by demonstrating that improvement in subjective sleep quality among university students is directly correlated with increased levels of mind- fulness and self-compassion. Consistent with a recent meta-analysis of over 12,000 participants in mindfulness-based therapies, Koru produced clinically significant effect sizes on multiple measures of psy- chological well-being.14 The largest effect sizes in this study were seen for increases in mindfulness and self-compassion. The increase in mindfulness with Koru was comparable to increases in mindfulness seen with an 8-week MBSR pro- gram,32 an 8-week MBCT program,47 and an 8-week MSC program.34 Although Koru’s relatively large effect size for self-compassion (d = .75) was substantially less than that for MSC (d = 1.67), it had somewhat stronger effects on mind- fulness and stress. This difference may reflect that Koru does not specifically target self-compassion, but rather mindful attention, awareness, relaxation, and self-regulation. Nev- ertheless, changes in self-compassion in this study were comparable to those seen in other primary mindfulness in- terventions such as MBSR.48 Given the association between higher levels of self-compassion and better psychological well-being,25,34 this study suggests that Koru may promote student health, in part, by helping EAs develop a health- ier way of relating to themselves in difficult times—a way marked by greater self-kindness and less self-judgment; a greater sense of connection through common humanity and less isolation; and better emotional balance through greater mindfulness and less over-identification with one’s problems. Secondary findings demonstrated that all of the signif- icant effects observed in a group of students randomized to receive Koru could be replicated in wait-listed students later in the same semester. Moreover, correlations among improvements in perceived stress, sleep problems, mindful- ness, and self-compassion were predominantly significant in the Koru group. This finding indicates that Koru-related benefits in mental and behavioral health are interdependent. VOL 62, MAY/JUNE 2014 229 Downloadedby[98.115.143.186]at11:4809May2014
  • 15. Greeson et al TABLE3.CorrelationsAmongStudyVariablesforKoruGroup(n=35)BelowDiagonalandWait-ListControl(n=39)AboveDiagonal 1234567891011 1.Perceivedstress(PSS)—.322∗ −.142.199−.094.161.241−.275† −.267−.243−.164 2.Sleepproblems(MOS).313† —.059−.250−.238−.021−.019−.138.013−.334∗ .100 3.Mindfulness(CAMS)−.611∗∗∗ −.450∗∗ —.496∗∗ .454∗∗ .123.361∗ .187.098.315† .057 4.Self-compassion(total)−.459∗∗ −.405∗ .711∗∗ —.661∗∗ .060.565∗∗ .731∗∗ .426∗∗ .536∗∗ .239 5.Self-kindness(SCS)−.322† −.335∗ .613∗∗ .821∗∗ —.039.537∗∗ .253−.096.207−.070 6.CommonHumanity(SCS)−.243−.309† .523∗∗ .628∗∗ .416∗ —.191−.354∗ −.145−.192−.277† 7.Mindfulness(SCS)−.255−.262.594∗∗ .799∗∗ .657∗∗ .553∗∗ —.145−.052.024−.025 8.Self-judgment(SCS)−.486∗∗ −.334∗ .582∗∗ .881∗∗ .642∗∗ .487∗∗ .568∗∗ —.456∗∗ .459∗∗ .417∗∗ 9.Isolation(SCS)−.388∗ −.196.462∗∗ .642∗∗ .396∗ .077.400∗ .563∗∗ —.048.266 10.Over-identification(SCS)−.378∗ −.444∗∗ .505∗∗ .825∗∗ .624∗ .427∗ .593∗∗ .691∗∗ .508∗∗ —.293† 11.Gratitude(GQ-6)−.203−.286† .276.241.143.329† .118.222.174.117— Note.PSS=PerceivedStressScale;MOS=MedicalOutcomesStudy;CAMS=CognitiveandAffectiveMindfulnessScale;SCS=Self-compassionScale;GQ-6=GratitudeQuestionnaire. †p.10;∗p.05;∗∗p.01;∗∗∗p.001. 230 JOURNAL OF AMERICAN COLLEGE HEALTH Downloadedby[98.115.143.186]at11:4809May2014
  • 16. A Randomized Controlled Trial of Koru Taken together, the significant changes in perceived stress, sleep, mindfulness and self-compassion with Koru suggest that tailoring mindfulness training to emerging adulthood by incorporating other mind–body skills, using fewer class ses- sions, requiring shorter but mandatory home practice as well as a course text, and contextualizing mindfulness training to reflect common interests and concerns of EAs is an effective strategy. The relative brevity of the training model may contribute to the high retention rates and thus effectiveness of Koru. Stu- dents identify time pressures as one of the primary reasons for not seeking help for mental health concerns.3 Thus, Koru was designed to be as efficient as possible. Koru involves 5 hours of class time over 4 weeks, plus the expectation of 10 minutes of practice/day. In comparison, MBSR involves 27 hours of class time over 8 weeks, plus the expectation of 45 minutes/day of meditation practice.49 The decreased time requirement of Koru appears to work well for young adults who are juggling competing pressures. The present study demonstrates that significant results can be achieved within a relatively short, 4-week time frame. Others have found bene- fits with brief exposure to mindfulness training. For example, one 5-session training model that included a daylong med- itation retreat found significant decreases in psychological distress and rumination, and significant increases in positive mood, among undergraduate and graduate students reporting distress.43 Another recent study found reductions in anxiety and associated neural correlates with only 4 20-minute mind- fulness trainings.50 The relatively high retention rate of 82% in our study may reflect the appeal of Koru for EAs. Strengths and Limitations The strengths of the study included a randomized experi- mental design, adequate statistical power provided by a rela- tively large sample size, inclusion of all available data from all randomized subjects, and relatively high levels of program adherence and survey completion. Limitations included re- liance on self-report surveys for primary outcome measures, which are susceptible to recall bias; limited diversity in the student sample, which precludes broader generalizability; and use of pre- and postintervention measures, which lim- its understanding of when beneficial effects started to occur and how long beneficial effects might last after Koru train- ing. Future research can build on the present study by using an objective measure of mindfulness, such as monitoring breaths or heart beat while practicing meditation,51 enrolling a more diverse group of students, and including both interim and follow-up assessments to better describe the process and durability of change following Koru. Conclusion College students make up a substantial fraction of the EA demographic.18 A large proportion of college students report significant stress-related mental health concerns, in- cluding anxiety and depression.41 These types of mental health concerns impact students both interpersonally and academically.7 Mindfulness-based interventions are known to provide significant improvement in anxiety, depression, and stress reactivity in adults and university student popu- lations.41,52 Only a small percentage of struggling students receive treatment from university health centers2,3 ; therefore, it is critical that a broader range of mental-health outreach services be provided for students. The results of this study show that Koru, a relatively brief, developmentally targeted mindfulness program, was effective at reducing symptoms of stress, enhancing psychological well-being, and promoting sleep—a key health behavior—for EAs who are students in a university setting. These findings support Koru as a viable in- tervention for student counseling centers and other agencies that seek to provide cost-effective, low-stigma interventions for students suffering from unmanageable levels of stress. Further research is needed to explore the effectiveness of Koru in other EA populations in community colleges, his- torically black colleges and universities, and nonacademic settings. ACKNOWLEDGMENTS We thank the staff at Duke Counseling and Psychological Services, including the director of outreach services Gary Glass, PhD, and the administrative assistant for outreach ser- vices, Mary Cicinnati. We also thank all of the undergraduate, graduate, and professional students who volunteered their valuable time to participate in the trial and complete our sur- vey. Finally, we thank Karen Caldwell, PhD, for assistance with SPSS code for the mixed-effects models, and Dennis Carmody, BA, for technical assistance with randomization procedures and database management. FUNDING This work was supported by grant R00 AT004945 from the National Center for Complementary and Alternative Medicine (NCCAM) to JMG. The contents of this article are solely the responsibility of the authors and do not neces- sarily represent the official views of the National Institutes of Health (NIH). CONFLICT OF INTEREST DISCLOSURE After completing the current research study, Dr Rogers co-founded the Koru Center for Mindfulness, of which she has an ownership share; if Koru is found to be an effective intervention, she could benefit financially. Dr Maytan has received compensation for teaching from the Koru Center for Mindfulness. Dr Greeson, Mr Juberg, and Ms James, who were responsible for collecting and analyzing the data for this study, report no financial relationship relevant to the subject of this article. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of the United States and received approval from the Institutional Review Board of Duke University. VOL 62, MAY/JUNE 2014 231 Downloadedby[98.115.143.186]at11:4809May2014
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  • 19.                                                                                                                                                                                                                                                                                                                                                                                                                                                 