SlideShare a Scribd company logo
Batter Up For Bone Health: Education
intervention to improve bone health
knowledge in school-age children
Sarah Allaben, BS
Erica Auriemme, BS
Alexis Blandine, BS
Kiah Ehrke, BS
Ellen Hashiguchi, MPH
Maggie Tignanelli, BS
Thesis advisor: Karen Plawecki PhD, RD
On Deck
● Background
● Methods
● Demographics
● Results and discussion
● Strengths and limitations
● Future implications for research
Batter Up for Bone Health
An interactive, behavioral theory-based education
game mimicking a game of baseball.
Objectives:
1. Improve bone health knowledge and
behaviors for 7-10 year olds.
2. Educate children on foods rich in
vitamin D and calcium.
3. Promote physical activities that
support healthy bone development.
Tested in both school and camp settings.
Bone Overview
Cortical Bone and Trabecular bone1
● Crystalline hydroxyapatite
Ca5(PO4)2
Osteogenesis = the formation of bones2
● Osteoblasts: bone building
● Osteoclasts: bone resorption
Leading Players
● Calcium & Vitamin D
● Physical Activity
(Lian, 2004; Gilbert, 2000)
Mechanism of Bones
Osteogenesis
● Osteoblasts + Bone Matrix play pivotal roles1
○ Basic steps:
■ Synthesis of matrix
■ Matrix mineralization
■ Bone remodeling
Osteoblasts
● Parathyroid Hormone (PTH) and Estrogen
Bone matrix
● Inorganic compounds
● Organic compounds
(Kini, 2012)
Bone Remodeling
● Constantly undergoing modeling
● Osteoblasts have a dual function
● Average lifespan of each
remodeled unit in humans is 2-8
months1
(Kini, 2012)
Bone Remodeling
● Peak bone height
velocity slows at
puberty
(Fortes, 2012)
Bone Remodeling
• Highest plasma bone biomarkers in 10-12 year olds1
• Osteocalcin
• Bone Alkaline Phosphatase
• C-Terminal telopeptide
• Decreased with bone age + breast development1
• At puberty, girls are in Tanner Stage 4 [physical
maturation]2
(Fortes, 2014; WHO, 2014)
Bone Lifespan
● Trabecular bone grows faster than cortical bone
● Maximize peak bone mass in adolescence
● Remodeling increases in peri- and early postmenopausal women.
● 5-10% of total bone is renewed annually
Bone Health Diseases
Rickets/Osteomalacia
● Softening and weakening of bone
● Osteoid accumulates in the bone
tissue below the growth plate
○ Bone eventually forms
bowing shape1
● Not only Vitamin D deficiency
○ Poor calcium and
phosphorous intake2
(Nield, 2006; Thacher, 2013)
Incidence of Rickets/Osteomalacia
● Incidence has increased since 20001
○ Most incidences occur in African
Americans
(Thacher, 2013)
Bone Health Diseases
Osteoporosis
• Translates to porous bone
• Resorption happens more quickly than
osteoid formation
• 1 in 3 women and 1 in 5 men are at risk1
• Common fractures in hip, spine and wrist
• Why prevention is important
• 10% increase in peak bone mass, reduces
risk of fracture by 50%1
(IOF, 2015)
Calcium Overview
● Positive effect on bone
mass in children and
adolescents 1
● Nutrient of Concern
(Webb, 2014)
Calcium Overview
● Serum calcium is kept
constant at bone’s expense
● Increasing calcium
consumption has greater
bone benefits
(Houillier, 2006)
(WWEIA, 2014; Rehm, 2015)
Calcium
(Van Stuijvenberg, 2015)
Cross-sectional study - South Africa
• 2-5 year olds
• 62.6% did not consume milk
Calcium
• 21% EAR
Vitamin D
• 15% EAR
Results
• Significant stunting
(Hever, 2015)
(Weishaar, 2013)
Distribution of serum 25-hydroxyvitamin D levels by racial/ethnic group in the US population
Vitamin D
RDA - 15 μg or 600 IU/day¹
• 97.5% of children aged 1–18 years
Dietary Intake¹
• 77% of total vitamin D
• 5.8 μg/day
Serum 25-hydroxyvitamin D: >20 ng/mL²
• Children 6-11 years vs. ages 1-5 years
• Non-Hispanic black children
• Hispanic children
(Moore, 2014; Mansbach, 2009)
Vitamin D
12-week randomized, double-blind, controlled study
• 6-10 year olds
• 3 Beverage Groups: Ca, CaD, CaDEA
Results
• CaD & CaDEA groups
Improved 25(OH)D status
(Economos , 2014)
Joint Force Ground Force
Types of Exercise
(Behnke, 2012)
Ground Force Research
● Short-term bone biochemical response1
○ Sample: 15 male students
○ Age 20-35
○ Bilateral jumping
■ ranged from 520 - 2278 jumps (mean=1270)
○ Venous blood sample taken pre and post exercise
■ CTx
■ P1NP
● Positive % increase
○ No significant correlation between number of jumps and P1NP
(Rantalainen, 2009)
Ground Force Research
Physical Activity Trends in the Pediatric Population
• Recommended 60 minutes daily
activity between ages 6 - 171
• Physical Education within the
School through a Comprehensive
School Physical Activity Program
• Physical Education Classes
• Movement within the Classroom
• Recess2
(USDHHS, 2011; CDC, 2015)
Example of Comprehensive School
Physical Activity Program Design
(Orlowski, 2013)
Research Shows
● A decrease in physical education
classes in high school
○ 13% decrease from 1991 to 20131
● Physical education classes offered
3 days/week in elementary school2
○ Early Childhood Longitudinal Study
○ 20,000 8th grade students
○ Physical Education offered 3 days a week
(CDC, 2015; Vericker, 2014)
Triple Play!
Social Cognitive Theory
• Learning occurs
within a social
context
Social Cognitive Theory
Self efficacy is positively associated with
healthy eating habits1
• Significant model pathway (B=+0.46)
from self-efficacy to percentage energy
intake, p=.001
(Lubans, 2012; Larsen, 2015)
Self efficacy predicts outcome expectations2
• Self efficacy increased .728 from
pretest to posttest
• Outcome expectations increased 2.52
from pretest to posttest
Social Cognitive Theory
Children ate more F & V when
exposed to peers eating F & V1
• N=749
• Increased F & V
consumption post-
intervention (p<.001),
increased F & V
consumption at home
(p<.05)
(Horne, 2004)
Batter Up! For Bone Health
The Rules [Methods]
Purpose of Batter Up! for Bone Health
Improve bone health knowledge
and behaviors for school children
ages 7-10 years:
• Identifying bone healthy foods
• Participating in physical
activities associated with bone
health
Intervention Layout and
Base Information
Survey Tools
• Recruitment Flyer
• Consent to participate
• Demographics
• Three Measurable Tests
Survey Timeline
Tips For the School
Location
Location Participants
with
Consent
Forms
School 59% (n=99)
Camp 41% (n=69)
Gender
Ethnicity
Chart: Ethnicity of Participants
with Consent Forms
n = 165
Ethnicity by Location
N=67 N=98
Calcium Sources Consumed
Multivitamin Sources Reported
7th Inning Stretch
(Results)
H01 There is no difference in overall bone health knowledge gained.
Pre-to Post-test Sample size Mean
Difference
standard
deviation
test
value
p-value confidence
interval/effect
size
Overalla 119 Pre-test: 12.55
Post-test: 13.17
Pre-test: 1.85
Post-test: 2.46
-3.03 0.003 0.1239
Between
Gendersb
Total N= 129
F= 61
M=58
F: 0.61
M: 0.64
Females:2.02
Males: 2.46
-0.08 0.940 Inside
Between Agesc Total N=118
(7)=1
(8)=32
(9)=49
(10)=36
Total: 13.16
7yr: 13.00
8yr: 12.33
9yr: 13.25
10yr: 13.79
Total: 2.23
7yr: --
8yr: 2.89
9yr: 1.91
10yr: 1.82
F=2.43 0.069 Outside
Between
Locationsb
Total N= 129
S= 93
C= 26
S: 0.74
C: 0.19
School: 1.93
Camp: 3.11
1.11 0.27 Inside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
H02 There is no difference in overall bone health knowledge retained.
Post- to 21-
day post test
Sample size Mean Standard
deviation
Test
value
p-value Confidence
interval/effect size
Overalla 118 Post-test: 13.41
21-day posttest:
13.48
Post-test: 1.99
21-day
posttest:2.07
-0.49 0.627 outside
Between
Gendersb
Total N= 128
F= 60
M= 58
F: -0.02
M: 0.17
F: 1.14
M: 2.13
-0.60 0.548 outside
Between
Agesc
Total N= 117
(8) N= 29
(9) N=52
(10) N=36
Total: 13.45
8yr: 13.25
9yr: 13.52
10yr: 13.54
Total: 0.09
8yr: 0.52
9yr: 0.19
10yr: -0.42
2.67 0.074 outside
Between
Locationsa
Total: 128
(S) N=97
(C) N=21
S: 0.01
C: 0.38
S: 1.72
C: 1.63
-0.91 0.306 inside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
H03 There is no difference in overall bone health knowledge gained in the schools.
In the
School
Sample size Mean Standard
deviation
test
value
p-value Confidence
interval/effect
size
Overall
Knowledgea
93 Pre-test: 12.80
Post-test: 13.54
Pre-test: 1.64 Post-
test: 1.91
-3.71 0.0001 0.20
Knowledge
Between
Gendersb
Total N= 93
F= 49
M= 44
F: 0.88
M: 0.59
F: 1.86
M: 2.02
0.71 0.478 inside
Knowledge
Between
Agesc
Total N= 93
(8) N= 21
(9) N=39
(10) N=33
0.74 1.93 0.90 0.412 outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
H04 There is no difference in overall bone health knowledge retained in the schools.
In the
School
Sample size Mean Standard
Deviation
test
value
p-value Confidence
interval/effect
size
Overall
Retentiona
97 Post-test: 13.65
21-day: 13.66
Post-test: 1.76
21-
day: 1.75
-0.06 0.953 outside
Retention
Between
Genders b
Total N= 97
F= 50
M= 47
F: -0.08
M: 0.11
F: 1.01
M: 2.25
-0.52 0.604 outside
Retention
between
Ages c
Total N= 97
(8) N= 22
(9) N=42
(10) N=33
0.01 1.72 2.60 0.080 outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
Table: Bone health knowledge gained and retained in both locations; isolated in a school setting.
Target
Group
Sample Size Mean Standard
Deviation
Test
value
(F)
p-value Confidence
interval/effect
size
Overall
Knowledge
and
Retention d
112 Pre-test: 12.53
Post-test: 13.38
21-day post-test:
13.52
Pre-test: 1.88
Post-test: 2.02
21-day post-test:
2.05
18.94 0.0001 0.26
Overall
Knowledge
and
Retention in
Schools d
92 Pre-test: 12.80
Post-test: 13.61
21-day post-test:
13.65
Pre-test: 1.65
Post-test:1.80 21-
day post-test:
1.79
14.89 0.0001 0.25
dRepeated Measures ANOVA
Knowledge gained and knowledge retained at both locations; camp isolation.
p-value, camp
<0.0001
p-value, school
<0.0001
Overall
scores
H05 There is no change in knowledge increase of calcium-containing foods among the participants.
Target
Group
Sample Size
(N)
Mean
Difference
Standard
Deviation
Test
Value
P - Value Confidence Interval/
Effect Size
Overalla 113 Pretest: 4.73
Posttest: 5.24
Mean Diff: 0.51
Pretest: 0.87
Posttest: 0.96
6.89 0.0001
0.28 (M)
Between
Gendersb
Total N = 113
(F) N = 58
(M) N = 55
F: 0.43
M: 0.60
F: 0.70
M: 0.87
-1.14 0.26
Outside
Between
Agesc
Total N = 112
(8) N = 30
(9) N =46
(10) N =35
Total: 0.52
8 yr: 0.37
9 yr: 0.50
10 yr: 0.63
Total: 0.52
8 yr: 0.37
9 yr: 0.50
10 yr: 0.63
1.04 0.38 Outside
Between
Locationsb
Total N = 113
(S) N = 89
(C) N = 24
S: 0.53
C: 0.46
S: 0.72
C: 1.02
0.31
0.76
Outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
H06 There is no change in knowledge retention of calcium-containing foods among the participants.
Target
Group
Sample Size
(N)
Mean
Difference
Standard
Deviation
Test
Value
P-Value Confidence Interval/
Effect Size
Overalla 115 Posttest: 5.57
21DayPost: 5.21
Mean Diff: -0.36
Posttest: 0.95
21DayPost: 1.01
0.79 0.43 Outside
Between
Gendersb
Total N = 115
(F) N = 60
(M) N = 55
F: -0.08
M: -0.04
F: 0.70
M: 0.96
-0.30 0.76 Outside
Between
Agesc
Total N = 114
(8) N = 29
(9) N =49
(10) N =36
Total: -0.08
8 yr: 0.03
9 yr: -0.06
10 yr: -0.19
Total: 0.81
8 yr: 0.63
9 yr: 0.94
10 yr: 0.75
0.66 0.52 Outside
Between
Locationsb
Total N = 115
(S) N = 94
(C) N = 21
S: -0.07
C: 0.00
S: 0.82
C: 0.89
-0.37 0.71
Outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
H07 There is no change in knowledge increase of calcium-containing foods among the participants (school isolated).
Target
Group
Sample
Size (N)
Mean
Difference
Standard
Deviation
Test
Value
P-Value Confidence Interval/
Effect Size
Overalla 89
Pretest: 4.84
Posttest: 5.37
Mean Diff: 0.53
Pretest: 0.80
Posttest: 0.82 -6.88 0.0001
0.31 (M)
Between
Gendersb
Total N = 89
(F) N = 47
(M) N = 42
F: 0.53
M: 0.52
F: 0.58
M: 0.86
0.52 0.96
Outside
Between
Agesc
Total N = 89
(8) N = 21
(9) N = 36
(10) N = 32
Total: 0.53
8 yr: 0.38
9 yr: 0.50
10 yr: 0.66
Total: 0.72
8 yr: 0.59
9 yr: 0.88
10 yr: 0.60
0.96 0.39
Within
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
H08 There is no change in knowledge retention of calcium-containing foods among the participants (school isolated).
Target
Group
Sample Size
(N)
Mean
Difference
Standard
Deviation
Test
Value
P-Value Confidence Interval/
Effect Size
Overalla 94 Posttest: 5.39
21DayPost: 5.31
Mean Diff: -0.08
Posttest: 0.81
21DayPost: 0.89
0.88 0.38 Outside
Between
Gendersb
Total N = 94
(F) N = 50
(M) N = 44
F: -0.10
M: -0.46
F: 0.58
M: 1.03
-0.32 0.75 Outside
Between
Agesc
Total N = 95
(8) N = 22
(9) N = 39
(10) N = 33
Total: -0.07
8 yr: 0.09
9 yr: -0.03
10 yr: -0.24
Total: 0.89
8 yr: 0.61
9 yr: 0.96
10 yr: 0.75
1.22 0.30 Outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male,
H09 There is no difference between knowledge of Vitamin D sources among participants.
Target
Group
Sample Size
(N)
Mean Difference Standard
Deviation
Test
Value
P
Value
Confidence
Interval/Effect Size
Overalla 107 Pretest: 4.20
Posttest:4.59
Difference: 0.39
Pretest: 0.84
Posttest: 0.64
-5.61 0.0001 0.23
Between
Locationb
Total N = 107
(S) N = 85
(C) N = 22
S: 0.39
C: 0.41
S: 0.73
C: 0.73
-0.12 0.905 Outside
Between
Genderb
Total N =107
(F) N = 57
(M) N = 50
F: 0.37
M: 0.42
F: 0.72
M: 0.73
-0.37 0.715 Outside
Between
Agesc
Total N = 106
(8) N = 28
(9) N = 43
(10) N = 34
Total: 0.38
8 yr: 0.36
9 yr: 0.35
10 yr: 0.44
Total: 0.71
8 yr: 0.73
9 yr: 0.69
10 yr: 0.75
0.21 0.888 Outside
Between
Ethnicitiesc
Total N = 106
(H) N = 18
(W) N = 74
Total:0.40
H: 0.39
W: 0.35
Total: 0.73
H: 0.78
W:0.71
0.70 0.622 Outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp, W = White, H = Hispanic
Target
Group
Sample Size
(N)
Mean Difference Standard Deviation Test
Value
P
Value
Confidence Interval/
Effect Size
Overalla 111 Posttest: 4.60
21DayPost: 4.55
Difference: -0.15
Pretest: 0.65
Posttest: 0.89
0.70 0.486 Outside
Between
Locationb
Total N = 111
(S) N = 90
(C) N = 21
S: -0.02
C: -0.14
S: 0.58
C: 1.01
0.53 0.604 Outside
Between
Genderb
Total N = 111
(F) N = 58
(M) N = 53
F: -0.07
M: -0.02
F: 0.67
M: 0.69
-0.39 0.700 Outside
Between
Agesc
Total N =110
(8) N =28
(9) N =47
(10) N =35
Total:-0.02
8 yr: 0.25
9 yr: -0.04
10 yr: -0.20
Total: 0.62
8 yr: 0.65
9 yr: 0.59
10 yr: 0.58
4.42
(F)
0.014 0.08
Between
Ethnicitiesc
Total N = 111
(H) N = 19
(W) N = 77
Total: -0.05
H: -0.21
W: -0.01
Total: 0.68
H: 1.03
W: 0.62
0.77 0.573 Outside
H010 There is no significant difference between retention of Vitamin D sources among participants.
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp, W = White, H = Hispanic
p<0.012
*Repeated Measures ANOVA
H010a There is no significant difference between retention of Vitamin D sources between the
Hispanic and White population.
H011 There is no significant difference between knowledge of Vitamin D sources among school participants.
Target
Group
Sample Size
(N)
Mean
Difference
Standard
Deviation
Test
Value
P
Value
Confidence
Interval/ Effect
Size
Overalla 85 Pretest:4.26
Posttest:4.65
Difference:0.39
Pretest: 0.79
Posttest: 0.55
-4.94 0.0001 0.22
Between
Gendersb
Total N = 85
(F) N = 46
(M) N = 39
F: 0.41
M: 0.36
F: 0.72
M: 0.74
0.34 0.734 Outside
Between
Agesc
Total N = 85
(8) N = 20
(9) N = 34
(10) N = 31
Total: 0.39
8 yr: 0.40
9 yr: 0.32
10 yr: 0.45
Total: 0.73
8 yr: 0.75
9 yr: 0.68
10 yr: 0.77
0.25 0.778 Outside
Between
Ethnicitiesc
Total N = 85
(H) = 2
(W) = 71
Total: 0.39
H: 0.00
W: 0.34
Total:0.73
H: 0.00
W: 0.72
1.08 0.371 Inside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, W = White, H = Hispanic
H012 There is no significant difference between retention of Vitamin D sources among school participants.
Target
Group
Sample
Size (N)
Mean Difference Standard
Deviation
Test
Value
P
Value
Confidence
Interval/ Effect
Size
Overalla 90 Pretest: 4.68
Posttest:4.66
Total Mean Diff: - 0.02
Pretest: 0.54
Posttest: 0.74
0.36 0.717 Outside
Between
Genderb
Total N = 90
(F) N = 48
(M) N = 42
F: 0.00
M: -0.05
F: 0.41
M: 0.73
0.37 0.710 Outside
Between
Agesc
T0tal N = 90
(8) N = 21
(9) N = 37
(10) N = 32
Total: -0.02
8 yr: 0.14
9 yr: 0.54
10 yr: -0.22
Total: 0.58
8 yr: 0.57
9 yr: 0.52
10 yr: 0.61
3.15
(F)
0.048 0.07
Between
Ethnicitiesc
Total N = 90
(H) N = 2
(W) N = 75
Total: -0.02
H: 0.00
W: -0.01
Total: 0.58
H: 0.00
W: 0.63
0.12
(F)
0.975 Outside
apaired t-test; bindependent samples t-test; c One-way ANOVA; F = Female, M = Male, W = White, H = Hispanic
Pre to Posttest Sample Size Mean Standard
deviation
Test Value P-value Confidence
interval
Overalla 113 Pretest: 4.00
Posttest: 3.88
0.85 1.53 0.127 Inside
Between Gendersb Total N= 113
(F) N = 57
(M) N = 56
F: -0.05
M: -0.19
F: 0.91
M: 0.79
0.89 0.375 Inside
Between Agesc Total N = 112
(7) N =1
(8) N =31
(9) N =45
(10) N =35
Total: -0.14
7 yr: ---
8 yr: -0.22
9 yr: -0.02
10 yr: -0.22
Total: 0.83
7 yr: 0.99
8 yr: 0.83
9 yr: 0.68
10 yr: 0.82
0.53 0.657 Outside
Between Locationsb Total N = 113
(S) N =89
(C) N =24
S: -0.08
C: -0.25
School: 0.79
Camp: 1.07
0.81 0.09 Inside
H013 There is no difference in overall physical activity knowledge gained.
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
Post to 21-Day Post Sample
size
Mean Standard
deviation
Test
Value
P-value Confidence
interval/
effect size
Overalla 114 Posttest: 3.85
21-day Posttest: 3.90
Post-test: 0.75
21-day Posttest: 0.83
-0.61 0.537 Outside
Between Gendersb Total N= 114
(F) N = 59
(M) N = 55
F: 0.01
M: 0.07
F: 0.68
M: 0.83
-0.39 0.69 Outside
Between Agesc Total N = 113
(8) N = 28
(9) N = 50
(10) N = 35
Total: 0.05
8 yr: -0.03
9 yr: 0.16
10 yr: -0.02
Total: 0.75
8 yr: 0.69
9 yr: 0.84
10 yr: 0.66
0.90 0.409 Outside
Between Locationsb N=114
(S)=93
(C)= 21
School: -0.01
Camp: 0.28
School : 0.69
Camp: 0.95
-1.34 0.192 Outside
H014 There is no difference in physical activity knowledge retained.
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
In the
School
Sample Size Mean Standard
Deviation
Test Value P-Value Confidence
Interval/
Effect Size
Overalla 89 Pretest: 3.98
Posttest: 3.89
Pretest: 0.71
Posttest: 0.70
1.07 0.288 Outside
Between
Gendersb
Total N = 89
(F) N = 42
(M) N = 47
F: -0.04
M: -0.14
F: 0.88
M: 0.68
0.59 0.554 Outside
Between
Agesc
Total N = 89
(8) N = 20
(9) N = 37
(10) N = 32
Total: -0.08
8 yr: -0.05
9 yr: 0.00
10 yr: -0.21
Total: 0.79
8 yr: 0.82
9 yr: 0.84
10 yr: 0.70
0.68 0.509 Outside
H015 There is no difference in overall physical activity knowledge within the school.
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
H016 There is no difference in overall physical activity knowledge retained within the school.
In the School Sample
Size
Mean Standard Deviation Test
value
P-value Confidence
Interval/
Effect Size
Overalla 93 Posttest: 3.90
21DayPost: 3.89
Posttest: 0.70
21DayPost: 0.81
1.48 0.882 Outside
Between
Gendersb
Total N = 93
(F) = 44
(M) = 49
F: -0.04
M: 0.02
F: 0.57
M: 0.82
-0.42 0.67 Inside
Between
Agesc
Total N = 93
(8) N = 21
(9) N = 40
(10) N = 32
Total: -0.01
8 yr: -0.14
9 yr: 0.10
10 yr: -0.06
Total: 0.69
8 yr: 0.65
9 yr: 0.74
10 yr: 0.66
F=0.96 0.386 Outside
aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
21-Day Posttest Sample
Size
Mean Standard
Deviation
Frequencies
Correct
Frequencies
Incorrect
Chi-Square P-Value
Video vs.
Vacuum
128 1.0234 .1518 125 3 1116.281 .000
Basketball vs.
Swimming
127 1.5276 .5012 60 67 .386 .535
Computer vs.
Playing outside
128 1.0078 .0883 127 1 124.031 .000
Listening to
music vs.
dancing
128 1.1328 .3407 111 17 69.031 .000
Be active for at
least ___
minutes/day
126 1.3968 .4911 76 50 5.365 .021
H017 There is no difference in physical activity knowledge retained.
*Chi square test
Principal
Components
Analysis (PCA)
Pre-Test
Question New
variable
Cronbach
Alpha
When I see my (friends, adults at home, brothers,
sisters, teachers) drinking milk, I’m more likely to
drink milk
Drinking
milk
.863
Like to eat what my teachers eat or when I see my
teacher eat something, I like to eat that food too
My friends and I eat the same foods
School
environment
.666
Like the same foods my parents like or like to eat
what my parents eat
Like to eat what my friends eat
Home
environment
.58
*Principal Components Analysis, Cronbach alpha
Principal
Components
Analysis (PCA)
21-day Post Test
Question New variable Cronbach
alpha
When I see my (friends, adults at home, brothers,
sisters, teachers) drinking milk, I’m more likely
to drink milk
Drinking
milk
.885
Like to eat what my friends/teachers eat
When I see my friends/teachers eat something, I
like to eat that food too
School
environment
.295
Like to eat what my parents/friends eat
My family eats the same foods at mealtime
Home
environment
.604
*Principal Components Analysis, Cronbach alpha
Pre-Test (n=119) 21-Day Post-Test (n=120)
Response
value
Yes Chi-Square
Statistic
P-Value Effect Size Yes Chi-square
Statistic
P-value Effect size
8 19
128.44 < .0001 .952 (L)
22
49.92 <.0001 .946 (L)
10 10 14
12 15 11
14 18 19
16 57 54
H018 School-age children are not influenced by others drinking milk.
*Chi square test
p<.0001
Pre-Test (n=121)
Response
value
Yes Chi-Square
Statistic
P-Value Effect Size
6 79
119.23 < .0001 .956 (L)
8 31
10 7
12 4
H019 The school environment does not have an effect on participants’ bone healthy nutrition behaviors.
*Chi square test
p<.0001
Pre-Test (n=123) 21-Day Post-Test (n=122)
Response
value
Yes Chi-Square
Statistic
P-Value Effect Size Yes Chi-square
Statistic
P-value Effect size
6 39
13.55 .004 .956 (L)
13
17.74 <.0001 .956 (L)
8 39 40
10 31 27
12 14 42
H020 The home environment does not have an effect on participants’ bone healthy nutrition behaviors.
*Chi square test
p=.004,
<.0001
H021 There is no difference between genders with regards to influences in participants’ bone healthy
nutrition behaviors.
Pre-Test 21-Day Post Test
Influences Girls Boys P-
Value
Confidence
Interval
Girls Boys P-Value Confidence
Interval
Drinking milk
influences
61 58 .333 Inside 61 59 .136 Inside
Mean 13.15 13.69 13.57 12.71
School environment 61 60 .762 Outside
N/A
Mean 6.98 6.90
Home environment 62 61 .465 Outside 60 62 .402 Inside
Mean 8.19 8.46 9.77 9.45
*Independent t-test
Table: “It is Important for Kids my Age to Have Healthy Bones”: Pre-test*
*Chi-Square
H022 School-age children do not believe bone health is important.
Response
(n=119)
Yes Chi-Square
Statistic
198.17
P-Value
.0001
Effect Size
0.94
Very Important 112
Kind of
Important
6
Somewhat
Important
1
Table: “It is Important for Kids my Age to Have Healthy Bones”: Girls vs Boys (Pre-test)*
*Independent T-Test
H022a There is no difference in belief over bone health importance between genders.
Response Girls
(n= 63)
Boys
(n=56)
P-Value
0.62
Confidence Interval
Outside
Very
Important
59 53
Kind of
Important
3 3
Somewhat
Important
1 0
H023 There is no difference between posttest and 21-day post-test and participant’s plan to eat
foods that are healthy for their bones.
Category Sample
Size
Post-Test
Mean
21-Post
Test
Mean
t-value p-value Confidence
Interval
Overall 79 1.29 +
0.56
1.44 +
0.61
-1.84 0.07 Inside
Female 44 1.20 +
0.55
1.36 +
0.57
-1.42 0.16 Outside
Male 35 1.40 +
0.55
1.54 +
0.66
-1.15 0.23 Outside
Table: “I plan to eat foods that are healthy for my bones*”
*Paired T-Test
H024There is no difference between post-test and 21-day post-test in ease to incorporate
foods that are healthy for their bones.
*Paired T-Test
Category Sample
Size
Post-Test
Mean
21-Post
Test
Mean
t-value p-value Effect
size/Confiden
ce Interval
Overall 80 1.76 +
0.88
1.96 +
0.85
-2.43 0.01 0.13
Female 45 1.82 +
0.91
1.96 +
0.85
-1.43 0.16 Outside
Male 35 1.69 +
0.83
1.97 +
0.86
-1.97 0.06 Inside
Table: “It is easy to choose a snack that is good for your bones*”
*Paired T-Test
H025 There is no difference between post-test to 21-day post-test for ease to choose activities
that are good for their bones.
Category Sample
Size
Post-Test
Mean
21-Post
Test
Mean
t-value p-value Effect
size/Confidence
Interval
Overall 60 1.63 +
0.76
1.77 +
0.83
-1.16 0.25 Outside
Female 38 1.55 +
0.76
1.79 +
0.87
-1.71 0.09 Outside
Male 22 1.77 +
0.75
1.72 +
0.77
0.22 0.83 Outside
Table: “It is easy to choose an activity that is good for your bones*”
*Paired T-Test
Category Sample
Size
Post-Test
Mean
21-Post
Test
Mean
t-value p-value Effect
size/Confidenc
e Interval
Overall 113 1.77 +
0.87
1.65 +
0.75
1.53 0.13 Inside
Female 56 1.75 +
0.86
1.69 +
0.78
0.44 0.66 Outside
Male 57 1.79 +
0.88
1.59 +
0.73
1.80 0.08 Inside
H026 There was no change between post-test and 21-day post-test among school aged children’s
belief that exercise is fun.
Table: “I enjoy exercise”
*Paired T-Test
H027 School-age children do not plan to engage in specific activities that are beneficial to their
bones.
Activity Sample Size Yes Chi-Square
Statistic
P-Value Effect Size/Confidence
Interval
Chores 92 62 11.13 .001 0.89 (L)
Stairs 91 60 9.24 .002 0.89 (L)
Dancing 91 73 33.24 .0001 0.90 (L)
Tag 91 74 35.70 .0001 0.90 (L)
Karate 91 52 1.86 0.17 Outside
Tennis 91 66 18.47 .0001 0.89 (L)
Table: Plan to Engage in Physical Activities for Bone Health: Post-Test*
*Chi-Square
Bottom
of the Ninth
● Constraints for time allotted to run the game
● Language barriers during the camp session
● Decrease in sample size due to consent forms
● Further validate test
Limitations
Strengths
● Appropriate for a wide range of ages
● Assessment tool incorporated social cognitive theory
● Covers wide variety of material
● Incorporated into PE classes
● Intervention can take place inside or outside
● Participants enjoyed the interactive and educational game
Implications for our study
• Causes changes in bone health knowledge and retention
• Applicable in both settings
• Positive bone health behaviors will be modeled
• Influencers and understanding bone health importance can motivate
• Self-efficacy plays a role in behavior changes and motivation
Future Research
● Implementing the program in
schools with different demographics
● Application of influences and
modeling in children
● Female’s dietary behaviors during
pubescence
Special Thanks!
• Thesis Advisor Dr. Karen Plawecki
• Students and faculty at St. Walter’s School
• Campers and staff at West Chicago Summer Camp
• Stan’s Donuts in the city
Post-Game Press
Conference
References
- Au L, Rogers G, Harris S, Dwyer J, Jacques P, Sacheck J. Associations of vitamin D intake with 25-hydroxyvitamin D in
overweight and racially/ethnically diverse US children November 2013 Springer, 2012.
- Bailey R, Dodd K, Picciano M, et al. Estimation of total usual calcium and vitamin D intakes in the united states. J Nutr. April
2010;140(4):817-822.
- Behnke R. Kinetic Anatomy Third Edition. 2012. Available from: http://www.humankinetics.com/excerpts/excerpts/levers-
work-to-create-movement-in-the-human-body
- Bone structure and function: Bone architecture. ASBMR Bone Curriculum Web site.
https://depts.washington.edu/bonebio/ASBMRed/structure.html Updated January 16, 2004. Accessed November 15, 2015.
- Bone. http://www.c14dating.com/bone.html Accessed November 15, 2015.
- Fortes CM, Goldberg TB, Kurokawa CS, et al. Relationship between chronological and bone ages and pubertal stage of breasts
with bone biomarkers and bone mineral density in adolescents. J Pediatr (Rio J). 2014;90(6):624-31.
- Hever J. 5 Ways to Optimize Bone Health. 2015. Available from: http://plantbaseddietitian.com/5-ways-to-optimize-bone-
health/
- Horne, PJ, Tapper, K, Lowe CF, Hardman CA, Jackson MC, Woolner J. Increasing children's fruit and vegetable consumption: a
peer modeling and rewards based intervention. European Journal of Clinical Nutrition (2004),58: 1649-1660.
- Gilbert SF. Osteogenesis: The Development of Bones. In Developmental Biology 6th edition. Sunderland (MA): Sinauer
Associates; 2000. Available from: http://www.ncbi.nlm.nih.gov/books/NBK10056/.
- Houillier
- International Osteoporosis Foundation (IOF). Preventing Osteoporosis. 2015. Available from:
http://www.iofbonehealth.org/preventing-osteoporosis
- Kini U, Nandeesh BN. Physiology of Bone Formation, Remodeling and Metabolism.
References
• Larsen, Andrew, McArdle, John, Robertson, Trina and Dunton, Genevieve. Nutrition self-efficacy is unidirectionally related to
outcome expectations in children 2015.
• Lubans, David, Plotnikoff, Ronald, Morgan, Philip, Dewar, Deborah, Costigan, Sarah and Collins, Clare. Explaining dietary
intake in adolescent girls from disadvantaged secondary schools. A test of Social Cognitive Theory 2012.
• Mansbach J, Ginde A, Camargo Jr. C. Serum 25-Hydroxyvitamin D Levels Among US Children Aged 1 to 11 Years: Do Children
Need More Vitamin D? Pediatrics [serial online]. November 2009;124(5):1404-1410.
• Murphy M, Douglass J, Johnson R, Spence L. Drinking flavored or plain milk is positively associated with nutrient intake and is
not associated with adverse effects on weight status in US children and adolescents. April 2008.
• Moore C, Radcliffe J, Liu Y. Vitamin D intakes of children differ by race/ethnicity, sex, age, and income in the United States,
2007 to 2010 June 2014.
• Nield L. et al. Rickets: Not a Disease of the Past. American Family Physician. August 2006.
• Orlowski M, Lorson K, Lyon A, Minoughan S. My classroom physical activity pyramid: A tool for integrating movement into the
classroom. . JOPERD. 2013;84(9):47-48-51.
• Rantalainen T, Heinonen A, Linnamo V, Komi PV, Takala TE, Kainulainen H. Short term bone biochemical response to a single
bout of high impact exercise. Journal of Sports Science and Medicine 2009; 8: 553-559.
• Rehm C, Drewnowski A, Monsivais P. Potential population-level nutritional impact of replacing whole and reduced-fat milk with
low-fat and skim milk among US children aged 2-19 years. January 2015.
• Thacher T, et al. Increasing Incidence of Nutritional Rickets: A population-based study in Olmsted County, Minnesota. Mayo
Clinic Proc. Feb 2013. 88 (2):176-183.
• Webb D, Donovan S, Meydani S. The role of yogurt in improving the quality of the american diet and meeting dietary guidelines.
Nutr Rev. March 2014; 72(3): 180-189.

More Related Content

What's hot

[5] poster epainos
[5] poster epainos[5] poster epainos
[5] poster epainos
Nikos Tzormpatzakis
 
Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...
Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...
Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...
National Osteoporosis Society
 
Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...
Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...
Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...
youth_nex
 
Adeyeye adeyemi elijah synopsis faculty presentation july 18, 2019.edited
Adeyeye adeyemi  elijah synopsis faculty presentation  july 18, 2019.editedAdeyeye adeyemi  elijah synopsis faculty presentation  july 18, 2019.edited
Adeyeye adeyemi elijah synopsis faculty presentation july 18, 2019.edited
Lagos State University International School, Ojo.
 
Strength and conditioning Royal Osteoporosis Society 2021
Strength and conditioning Royal Osteoporosis Society 2021Strength and conditioning Royal Osteoporosis Society 2021
Strength and conditioning Royal Osteoporosis Society 2021
AJP Health and Wellbeing Consultancy
 
Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...
Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...
Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...
National Osteoporosis Society
 
Falls Fractures and Frailty
Falls Fractures and FrailtyFalls Fractures and Frailty
Falls Fractures and Frailty
National Osteoporosis Society
 
Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...
Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...
Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...
Crimsonpublishers-Sportsmedicine
 
Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...
Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...
Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...
youth_nex
 
Physical Activity in Australian Adults: A Public Health Perspective
Physical Activity in Australian Adults: A Public Health PerspectivePhysical Activity in Australian Adults: A Public Health Perspective
Physical Activity in Australian Adults: A Public Health PerspectiveLouise Miller Frost
 
PREVALENCE OF PHYSICAL INACTIVITY
PREVALENCE OF PHYSICAL INACTIVITYPREVALENCE OF PHYSICAL INACTIVITY
PREVALENCE OF PHYSICAL INACTIVITY
Dr Goje Mohammed
 
The Importance of Staying Active after a Cancer Diagnosis | Dr Anna Campbell
The Importance of Staying Active after a Cancer Diagnosis | Dr Anna CampbellThe Importance of Staying Active after a Cancer Diagnosis | Dr Anna Campbell
The Importance of Staying Active after a Cancer Diagnosis | Dr Anna Campbell
Scottish Cancer Prevention Network
 
Exeter exercise and cancer oct 13
Exeter exercise and cancer oct 13Exeter exercise and cancer oct 13
Exeter exercise and cancer oct 13BenJane
 
Clinical portfolio
Clinical portfolioClinical portfolio
Clinical portfolioBen Gonano
 
Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...
Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...
Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...
National Osteoporosis Society
 
Bibliografia attività fisica e sedentarietà nei giovani colella
Bibliografia attività fisica e sedentarietà nei giovani colellaBibliografia attività fisica e sedentarietà nei giovani colella
Bibliografia attività fisica e sedentarietà nei giovani colella
Calzetti & Mariucci Editori
 
Undergrad Research Conf.
Undergrad Research Conf.Undergrad Research Conf.
Undergrad Research Conf.Cahewitt
 
Active self correction of back posture
Active self correction of back postureActive self correction of back posture
Active self correction of back posture
Meziat
 
Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...
Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...
Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...CRRC-Armenia
 

What's hot (20)

[5] poster epainos
[5] poster epainos[5] poster epainos
[5] poster epainos
 
Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...
Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...
Osteoporosis 2016 | Patients receiving bisphosphonates should take holidays f...
 
Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...
Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...
Tamara Valovich McLeod, Ph.D. - "The Impact of Sport-Related Injury on Health...
 
Adeyeye adeyemi elijah synopsis faculty presentation july 18, 2019.edited
Adeyeye adeyemi  elijah synopsis faculty presentation  july 18, 2019.editedAdeyeye adeyemi  elijah synopsis faculty presentation  july 18, 2019.edited
Adeyeye adeyemi elijah synopsis faculty presentation july 18, 2019.edited
 
Strength and conditioning Royal Osteoporosis Society 2021
Strength and conditioning Royal Osteoporosis Society 2021Strength and conditioning Royal Osteoporosis Society 2021
Strength and conditioning Royal Osteoporosis Society 2021
 
Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...
Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...
Osteoporosis 2016 | Patients receiving bisphosphonates should not take holida...
 
Falls Fractures and Frailty
Falls Fractures and FrailtyFalls Fractures and Frailty
Falls Fractures and Frailty
 
Master Thesis
Master ThesisMaster Thesis
Master Thesis
 
Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...
Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...
Exercise for Sarcopenia in the Elderly: What Kind, Which Role?_Crimson Publis...
 
Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...
Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...
Matthew Trowbridge, M.D., MPH - "How Our Built Environments Impact Children's...
 
Physical Activity in Australian Adults: A Public Health Perspective
Physical Activity in Australian Adults: A Public Health PerspectivePhysical Activity in Australian Adults: A Public Health Perspective
Physical Activity in Australian Adults: A Public Health Perspective
 
PREVALENCE OF PHYSICAL INACTIVITY
PREVALENCE OF PHYSICAL INACTIVITYPREVALENCE OF PHYSICAL INACTIVITY
PREVALENCE OF PHYSICAL INACTIVITY
 
The Importance of Staying Active after a Cancer Diagnosis | Dr Anna Campbell
The Importance of Staying Active after a Cancer Diagnosis | Dr Anna CampbellThe Importance of Staying Active after a Cancer Diagnosis | Dr Anna Campbell
The Importance of Staying Active after a Cancer Diagnosis | Dr Anna Campbell
 
Exeter exercise and cancer oct 13
Exeter exercise and cancer oct 13Exeter exercise and cancer oct 13
Exeter exercise and cancer oct 13
 
Clinical portfolio
Clinical portfolioClinical portfolio
Clinical portfolio
 
Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...
Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...
Osteoporosis 2016 | Management of osteoporosis in the young adult: Dr Jennife...
 
Bibliografia attività fisica e sedentarietà nei giovani colella
Bibliografia attività fisica e sedentarietà nei giovani colellaBibliografia attività fisica e sedentarietà nei giovani colella
Bibliografia attività fisica e sedentarietà nei giovani colella
 
Undergrad Research Conf.
Undergrad Research Conf.Undergrad Research Conf.
Undergrad Research Conf.
 
Active self correction of back posture
Active self correction of back postureActive self correction of back posture
Active self correction of back posture
 
Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...
Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...
Prevalence of Physical Activity and Barriers to Physical Activity Among Yerev...
 

Similar to Batter Up For Bone Health

Poster Slide
Poster SlidePoster Slide
Poster Slide
stevegiovannini
 
Pdhpe rationale
Pdhpe rationalePdhpe rationale
Pdhpe rationale
plunketta
 
Child / Family Health Program Planning in Public Health: What's the Evidence?
Child / Family Health Program Planning in Public Health: What's the Evidence?Child / Family Health Program Planning in Public Health: What's the Evidence?
Child / Family Health Program Planning in Public Health: What's the Evidence?
Health Evidence™
 
Evidence Based Medicine on the Physiotherapeutic Scoliosis Specific Exercises
Evidence Based Medicine on the Physiotherapeutic Scoliosis Specific ExercisesEvidence Based Medicine on the Physiotherapeutic Scoliosis Specific Exercises
Evidence Based Medicine on the Physiotherapeutic Scoliosis Specific Exercises
Sanja Schreiber
 
Role of Physical Therapy in Pediatric Oncology.ppt
Role of Physical Therapy in Pediatric Oncology.pptRole of Physical Therapy in Pediatric Oncology.ppt
Role of Physical Therapy in Pediatric Oncology.ppt
MarkoMedi3
 
Planning Your Visit - School Nutrition            School health .docx
Planning Your Visit - School Nutrition            School health .docxPlanning Your Visit - School Nutrition            School health .docx
Planning Your Visit - School Nutrition            School health .docx
mattjtoni51554
 
Chronic Disease Program Planning in Public Health: What's the Evidence
Chronic Disease Program Planning in Public Health: What's the Evidence Chronic Disease Program Planning in Public Health: What's the Evidence
Chronic Disease Program Planning in Public Health: What's the Evidence
Health Evidence™
 
Emr105 a2 s_constantine
Emr105 a2 s_constantineEmr105 a2 s_constantine
Emr105 a2 s_constantine
stinaconstant
 
Assessment of nutritional status of children under five
Assessment of nutritional status of children under fiveAssessment of nutritional status of children under five
Assessment of nutritional status of children under five
JunaidAbubakar1
 
Football in the community dan parnell
Football in the community dan parnellFootball in the community dan parnell
Football in the community dan parnell
Daniel Parnell
 
Thesis Proposal Presentation_Higgins
Thesis Proposal Presentation_HigginsThesis Proposal Presentation_Higgins
Thesis Proposal Presentation_Higgins
Brianna Higgins
 
Perth College UHI students Physical Activity project with Older Adults in Car...
Perth College UHI students Physical Activity project with Older Adults in Car...Perth College UHI students Physical Activity project with Older Adults in Car...
Perth College UHI students Physical Activity project with Older Adults in Car...
Alison Clyde
 
u3025929 Sports Pedagogy- Adolescent Injury Prevention
u3025929 Sports Pedagogy- Adolescent Injury Preventionu3025929 Sports Pedagogy- Adolescent Injury Prevention
u3025929 Sports Pedagogy- Adolescent Injury Prevention
slater24
 
School-based physical activity programs for children and adolescents (aged 6 ...
School-based physical activity programs for children and adolescents (aged 6 ...School-based physical activity programs for children and adolescents (aged 6 ...
School-based physical activity programs for children and adolescents (aged 6 ...
Health Evidence™
 
Ffit secure project team matt slides 15th jan 2015
Ffit secure project team matt slides 15th jan 2015Ffit secure project team matt slides 15th jan 2015
Ffit secure project team matt slides 15th jan 2015
Matthew Maycock
 
1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究
1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究
1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究
Ks doctor
 
Conference presentation
Conference presentationConference presentation
Conference presentationNoel Sritharan
 
Do bisphosphonates affect bone healing
Do bisphosphonates affect bone healingDo bisphosphonates affect bone healing
Do bisphosphonates affect bone healingmohdzh00
 

Similar to Batter Up For Bone Health (20)

Poster Slide
Poster SlidePoster Slide
Poster Slide
 
Pdhpe rationale
Pdhpe rationalePdhpe rationale
Pdhpe rationale
 
Child / Family Health Program Planning in Public Health: What's the Evidence?
Child / Family Health Program Planning in Public Health: What's the Evidence?Child / Family Health Program Planning in Public Health: What's the Evidence?
Child / Family Health Program Planning in Public Health: What's the Evidence?
 
Evidence Based Medicine on the Physiotherapeutic Scoliosis Specific Exercises
Evidence Based Medicine on the Physiotherapeutic Scoliosis Specific ExercisesEvidence Based Medicine on the Physiotherapeutic Scoliosis Specific Exercises
Evidence Based Medicine on the Physiotherapeutic Scoliosis Specific Exercises
 
Role of Physical Therapy in Pediatric Oncology.ppt
Role of Physical Therapy in Pediatric Oncology.pptRole of Physical Therapy in Pediatric Oncology.ppt
Role of Physical Therapy in Pediatric Oncology.ppt
 
PEPAYS Presentation
PEPAYS PresentationPEPAYS Presentation
PEPAYS Presentation
 
Planning Your Visit - School Nutrition            School health .docx
Planning Your Visit - School Nutrition            School health .docxPlanning Your Visit - School Nutrition            School health .docx
Planning Your Visit - School Nutrition            School health .docx
 
Chronic Disease Program Planning in Public Health: What's the Evidence
Chronic Disease Program Planning in Public Health: What's the Evidence Chronic Disease Program Planning in Public Health: What's the Evidence
Chronic Disease Program Planning in Public Health: What's the Evidence
 
Emr105 a2 s_constantine
Emr105 a2 s_constantineEmr105 a2 s_constantine
Emr105 a2 s_constantine
 
Assessment of nutritional status of children under five
Assessment of nutritional status of children under fiveAssessment of nutritional status of children under five
Assessment of nutritional status of children under five
 
Football in the community dan parnell
Football in the community dan parnellFootball in the community dan parnell
Football in the community dan parnell
 
Research Poster
Research PosterResearch Poster
Research Poster
 
Thesis Proposal Presentation_Higgins
Thesis Proposal Presentation_HigginsThesis Proposal Presentation_Higgins
Thesis Proposal Presentation_Higgins
 
Perth College UHI students Physical Activity project with Older Adults in Car...
Perth College UHI students Physical Activity project with Older Adults in Car...Perth College UHI students Physical Activity project with Older Adults in Car...
Perth College UHI students Physical Activity project with Older Adults in Car...
 
u3025929 Sports Pedagogy- Adolescent Injury Prevention
u3025929 Sports Pedagogy- Adolescent Injury Preventionu3025929 Sports Pedagogy- Adolescent Injury Prevention
u3025929 Sports Pedagogy- Adolescent Injury Prevention
 
School-based physical activity programs for children and adolescents (aged 6 ...
School-based physical activity programs for children and adolescents (aged 6 ...School-based physical activity programs for children and adolescents (aged 6 ...
School-based physical activity programs for children and adolescents (aged 6 ...
 
Ffit secure project team matt slides 15th jan 2015
Ffit secure project team matt slides 15th jan 2015Ffit secure project team matt slides 15th jan 2015
Ffit secure project team matt slides 15th jan 2015
 
1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究
1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究
1100304-口服玻尿酸改善膝關節炎症狀之效果-台灣人體臨床試驗研究
 
Conference presentation
Conference presentationConference presentation
Conference presentation
 
Do bisphosphonates affect bone healing
Do bisphosphonates affect bone healingDo bisphosphonates affect bone healing
Do bisphosphonates affect bone healing
 

Batter Up For Bone Health

  • 1. Batter Up For Bone Health: Education intervention to improve bone health knowledge in school-age children Sarah Allaben, BS Erica Auriemme, BS Alexis Blandine, BS Kiah Ehrke, BS Ellen Hashiguchi, MPH Maggie Tignanelli, BS Thesis advisor: Karen Plawecki PhD, RD
  • 2. On Deck ● Background ● Methods ● Demographics ● Results and discussion ● Strengths and limitations ● Future implications for research
  • 3. Batter Up for Bone Health An interactive, behavioral theory-based education game mimicking a game of baseball. Objectives: 1. Improve bone health knowledge and behaviors for 7-10 year olds. 2. Educate children on foods rich in vitamin D and calcium. 3. Promote physical activities that support healthy bone development. Tested in both school and camp settings.
  • 4. Bone Overview Cortical Bone and Trabecular bone1 ● Crystalline hydroxyapatite Ca5(PO4)2 Osteogenesis = the formation of bones2 ● Osteoblasts: bone building ● Osteoclasts: bone resorption Leading Players ● Calcium & Vitamin D ● Physical Activity (Lian, 2004; Gilbert, 2000)
  • 5. Mechanism of Bones Osteogenesis ● Osteoblasts + Bone Matrix play pivotal roles1 ○ Basic steps: ■ Synthesis of matrix ■ Matrix mineralization ■ Bone remodeling Osteoblasts ● Parathyroid Hormone (PTH) and Estrogen Bone matrix ● Inorganic compounds ● Organic compounds (Kini, 2012)
  • 6. Bone Remodeling ● Constantly undergoing modeling ● Osteoblasts have a dual function ● Average lifespan of each remodeled unit in humans is 2-8 months1 (Kini, 2012)
  • 7. Bone Remodeling ● Peak bone height velocity slows at puberty (Fortes, 2012)
  • 8. Bone Remodeling • Highest plasma bone biomarkers in 10-12 year olds1 • Osteocalcin • Bone Alkaline Phosphatase • C-Terminal telopeptide • Decreased with bone age + breast development1 • At puberty, girls are in Tanner Stage 4 [physical maturation]2 (Fortes, 2014; WHO, 2014)
  • 9. Bone Lifespan ● Trabecular bone grows faster than cortical bone ● Maximize peak bone mass in adolescence ● Remodeling increases in peri- and early postmenopausal women. ● 5-10% of total bone is renewed annually
  • 10. Bone Health Diseases Rickets/Osteomalacia ● Softening and weakening of bone ● Osteoid accumulates in the bone tissue below the growth plate ○ Bone eventually forms bowing shape1 ● Not only Vitamin D deficiency ○ Poor calcium and phosphorous intake2 (Nield, 2006; Thacher, 2013)
  • 11.
  • 12. Incidence of Rickets/Osteomalacia ● Incidence has increased since 20001 ○ Most incidences occur in African Americans (Thacher, 2013)
  • 13. Bone Health Diseases Osteoporosis • Translates to porous bone • Resorption happens more quickly than osteoid formation • 1 in 3 women and 1 in 5 men are at risk1 • Common fractures in hip, spine and wrist • Why prevention is important • 10% increase in peak bone mass, reduces risk of fracture by 50%1 (IOF, 2015)
  • 14. Calcium Overview ● Positive effect on bone mass in children and adolescents 1 ● Nutrient of Concern (Webb, 2014)
  • 15. Calcium Overview ● Serum calcium is kept constant at bone’s expense ● Increasing calcium consumption has greater bone benefits (Houillier, 2006)
  • 17. Calcium (Van Stuijvenberg, 2015) Cross-sectional study - South Africa • 2-5 year olds • 62.6% did not consume milk Calcium • 21% EAR Vitamin D • 15% EAR Results • Significant stunting
  • 19. (Weishaar, 2013) Distribution of serum 25-hydroxyvitamin D levels by racial/ethnic group in the US population
  • 20. Vitamin D RDA - 15 μg or 600 IU/day¹ • 97.5% of children aged 1–18 years Dietary Intake¹ • 77% of total vitamin D • 5.8 μg/day Serum 25-hydroxyvitamin D: >20 ng/mL² • Children 6-11 years vs. ages 1-5 years • Non-Hispanic black children • Hispanic children (Moore, 2014; Mansbach, 2009)
  • 21. Vitamin D 12-week randomized, double-blind, controlled study • 6-10 year olds • 3 Beverage Groups: Ca, CaD, CaDEA Results • CaD & CaDEA groups Improved 25(OH)D status (Economos , 2014)
  • 22. Joint Force Ground Force Types of Exercise (Behnke, 2012)
  • 23. Ground Force Research ● Short-term bone biochemical response1 ○ Sample: 15 male students ○ Age 20-35 ○ Bilateral jumping ■ ranged from 520 - 2278 jumps (mean=1270) ○ Venous blood sample taken pre and post exercise ■ CTx ■ P1NP ● Positive % increase ○ No significant correlation between number of jumps and P1NP (Rantalainen, 2009)
  • 25. Physical Activity Trends in the Pediatric Population • Recommended 60 minutes daily activity between ages 6 - 171 • Physical Education within the School through a Comprehensive School Physical Activity Program • Physical Education Classes • Movement within the Classroom • Recess2 (USDHHS, 2011; CDC, 2015)
  • 26. Example of Comprehensive School Physical Activity Program Design (Orlowski, 2013)
  • 27. Research Shows ● A decrease in physical education classes in high school ○ 13% decrease from 1991 to 20131 ● Physical education classes offered 3 days/week in elementary school2 ○ Early Childhood Longitudinal Study ○ 20,000 8th grade students ○ Physical Education offered 3 days a week (CDC, 2015; Vericker, 2014)
  • 29. Social Cognitive Theory • Learning occurs within a social context
  • 30. Social Cognitive Theory Self efficacy is positively associated with healthy eating habits1 • Significant model pathway (B=+0.46) from self-efficacy to percentage energy intake, p=.001 (Lubans, 2012; Larsen, 2015) Self efficacy predicts outcome expectations2 • Self efficacy increased .728 from pretest to posttest • Outcome expectations increased 2.52 from pretest to posttest
  • 31. Social Cognitive Theory Children ate more F & V when exposed to peers eating F & V1 • N=749 • Increased F & V consumption post- intervention (p<.001), increased F & V consumption at home (p<.05) (Horne, 2004)
  • 32. Batter Up! For Bone Health The Rules [Methods]
  • 33. Purpose of Batter Up! for Bone Health Improve bone health knowledge and behaviors for school children ages 7-10 years: • Identifying bone healthy foods • Participating in physical activities associated with bone health
  • 35. Survey Tools • Recruitment Flyer • Consent to participate • Demographics • Three Measurable Tests
  • 37. Tips For the School
  • 40. Ethnicity Chart: Ethnicity of Participants with Consent Forms n = 165
  • 45. H01 There is no difference in overall bone health knowledge gained. Pre-to Post-test Sample size Mean Difference standard deviation test value p-value confidence interval/effect size Overalla 119 Pre-test: 12.55 Post-test: 13.17 Pre-test: 1.85 Post-test: 2.46 -3.03 0.003 0.1239 Between Gendersb Total N= 129 F= 61 M=58 F: 0.61 M: 0.64 Females:2.02 Males: 2.46 -0.08 0.940 Inside Between Agesc Total N=118 (7)=1 (8)=32 (9)=49 (10)=36 Total: 13.16 7yr: 13.00 8yr: 12.33 9yr: 13.25 10yr: 13.79 Total: 2.23 7yr: -- 8yr: 2.89 9yr: 1.91 10yr: 1.82 F=2.43 0.069 Outside Between Locationsb Total N= 129 S= 93 C= 26 S: 0.74 C: 0.19 School: 1.93 Camp: 3.11 1.11 0.27 Inside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
  • 46. H02 There is no difference in overall bone health knowledge retained. Post- to 21- day post test Sample size Mean Standard deviation Test value p-value Confidence interval/effect size Overalla 118 Post-test: 13.41 21-day posttest: 13.48 Post-test: 1.99 21-day posttest:2.07 -0.49 0.627 outside Between Gendersb Total N= 128 F= 60 M= 58 F: -0.02 M: 0.17 F: 1.14 M: 2.13 -0.60 0.548 outside Between Agesc Total N= 117 (8) N= 29 (9) N=52 (10) N=36 Total: 13.45 8yr: 13.25 9yr: 13.52 10yr: 13.54 Total: 0.09 8yr: 0.52 9yr: 0.19 10yr: -0.42 2.67 0.074 outside Between Locationsa Total: 128 (S) N=97 (C) N=21 S: 0.01 C: 0.38 S: 1.72 C: 1.63 -0.91 0.306 inside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
  • 47. H03 There is no difference in overall bone health knowledge gained in the schools. In the School Sample size Mean Standard deviation test value p-value Confidence interval/effect size Overall Knowledgea 93 Pre-test: 12.80 Post-test: 13.54 Pre-test: 1.64 Post- test: 1.91 -3.71 0.0001 0.20 Knowledge Between Gendersb Total N= 93 F= 49 M= 44 F: 0.88 M: 0.59 F: 1.86 M: 2.02 0.71 0.478 inside Knowledge Between Agesc Total N= 93 (8) N= 21 (9) N=39 (10) N=33 0.74 1.93 0.90 0.412 outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
  • 48. H04 There is no difference in overall bone health knowledge retained in the schools. In the School Sample size Mean Standard Deviation test value p-value Confidence interval/effect size Overall Retentiona 97 Post-test: 13.65 21-day: 13.66 Post-test: 1.76 21- day: 1.75 -0.06 0.953 outside Retention Between Genders b Total N= 97 F= 50 M= 47 F: -0.08 M: 0.11 F: 1.01 M: 2.25 -0.52 0.604 outside Retention between Ages c Total N= 97 (8) N= 22 (9) N=42 (10) N=33 0.01 1.72 2.60 0.080 outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
  • 49. Table: Bone health knowledge gained and retained in both locations; isolated in a school setting. Target Group Sample Size Mean Standard Deviation Test value (F) p-value Confidence interval/effect size Overall Knowledge and Retention d 112 Pre-test: 12.53 Post-test: 13.38 21-day post-test: 13.52 Pre-test: 1.88 Post-test: 2.02 21-day post-test: 2.05 18.94 0.0001 0.26 Overall Knowledge and Retention in Schools d 92 Pre-test: 12.80 Post-test: 13.61 21-day post-test: 13.65 Pre-test: 1.65 Post-test:1.80 21- day post-test: 1.79 14.89 0.0001 0.25 dRepeated Measures ANOVA
  • 50. Knowledge gained and knowledge retained at both locations; camp isolation. p-value, camp <0.0001 p-value, school <0.0001 Overall scores
  • 51. H05 There is no change in knowledge increase of calcium-containing foods among the participants. Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P - Value Confidence Interval/ Effect Size Overalla 113 Pretest: 4.73 Posttest: 5.24 Mean Diff: 0.51 Pretest: 0.87 Posttest: 0.96 6.89 0.0001 0.28 (M) Between Gendersb Total N = 113 (F) N = 58 (M) N = 55 F: 0.43 M: 0.60 F: 0.70 M: 0.87 -1.14 0.26 Outside Between Agesc Total N = 112 (8) N = 30 (9) N =46 (10) N =35 Total: 0.52 8 yr: 0.37 9 yr: 0.50 10 yr: 0.63 Total: 0.52 8 yr: 0.37 9 yr: 0.50 10 yr: 0.63 1.04 0.38 Outside Between Locationsb Total N = 113 (S) N = 89 (C) N = 24 S: 0.53 C: 0.46 S: 0.72 C: 1.02 0.31 0.76 Outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
  • 52. H06 There is no change in knowledge retention of calcium-containing foods among the participants. Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P-Value Confidence Interval/ Effect Size Overalla 115 Posttest: 5.57 21DayPost: 5.21 Mean Diff: -0.36 Posttest: 0.95 21DayPost: 1.01 0.79 0.43 Outside Between Gendersb Total N = 115 (F) N = 60 (M) N = 55 F: -0.08 M: -0.04 F: 0.70 M: 0.96 -0.30 0.76 Outside Between Agesc Total N = 114 (8) N = 29 (9) N =49 (10) N =36 Total: -0.08 8 yr: 0.03 9 yr: -0.06 10 yr: -0.19 Total: 0.81 8 yr: 0.63 9 yr: 0.94 10 yr: 0.75 0.66 0.52 Outside Between Locationsb Total N = 115 (S) N = 94 (C) N = 21 S: -0.07 C: 0.00 S: 0.82 C: 0.89 -0.37 0.71 Outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
  • 53. H07 There is no change in knowledge increase of calcium-containing foods among the participants (school isolated). Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P-Value Confidence Interval/ Effect Size Overalla 89 Pretest: 4.84 Posttest: 5.37 Mean Diff: 0.53 Pretest: 0.80 Posttest: 0.82 -6.88 0.0001 0.31 (M) Between Gendersb Total N = 89 (F) N = 47 (M) N = 42 F: 0.53 M: 0.52 F: 0.58 M: 0.86 0.52 0.96 Outside Between Agesc Total N = 89 (8) N = 21 (9) N = 36 (10) N = 32 Total: 0.53 8 yr: 0.38 9 yr: 0.50 10 yr: 0.66 Total: 0.72 8 yr: 0.59 9 yr: 0.88 10 yr: 0.60 0.96 0.39 Within aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
  • 54. H08 There is no change in knowledge retention of calcium-containing foods among the participants (school isolated). Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P-Value Confidence Interval/ Effect Size Overalla 94 Posttest: 5.39 21DayPost: 5.31 Mean Diff: -0.08 Posttest: 0.81 21DayPost: 0.89 0.88 0.38 Outside Between Gendersb Total N = 94 (F) N = 50 (M) N = 44 F: -0.10 M: -0.46 F: 0.58 M: 1.03 -0.32 0.75 Outside Between Agesc Total N = 95 (8) N = 22 (9) N = 39 (10) N = 33 Total: -0.07 8 yr: 0.09 9 yr: -0.03 10 yr: -0.24 Total: 0.89 8 yr: 0.61 9 yr: 0.96 10 yr: 0.75 1.22 0.30 Outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male,
  • 55. H09 There is no difference between knowledge of Vitamin D sources among participants. Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P Value Confidence Interval/Effect Size Overalla 107 Pretest: 4.20 Posttest:4.59 Difference: 0.39 Pretest: 0.84 Posttest: 0.64 -5.61 0.0001 0.23 Between Locationb Total N = 107 (S) N = 85 (C) N = 22 S: 0.39 C: 0.41 S: 0.73 C: 0.73 -0.12 0.905 Outside Between Genderb Total N =107 (F) N = 57 (M) N = 50 F: 0.37 M: 0.42 F: 0.72 M: 0.73 -0.37 0.715 Outside Between Agesc Total N = 106 (8) N = 28 (9) N = 43 (10) N = 34 Total: 0.38 8 yr: 0.36 9 yr: 0.35 10 yr: 0.44 Total: 0.71 8 yr: 0.73 9 yr: 0.69 10 yr: 0.75 0.21 0.888 Outside Between Ethnicitiesc Total N = 106 (H) N = 18 (W) N = 74 Total:0.40 H: 0.39 W: 0.35 Total: 0.73 H: 0.78 W:0.71 0.70 0.622 Outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp, W = White, H = Hispanic
  • 56. Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P Value Confidence Interval/ Effect Size Overalla 111 Posttest: 4.60 21DayPost: 4.55 Difference: -0.15 Pretest: 0.65 Posttest: 0.89 0.70 0.486 Outside Between Locationb Total N = 111 (S) N = 90 (C) N = 21 S: -0.02 C: -0.14 S: 0.58 C: 1.01 0.53 0.604 Outside Between Genderb Total N = 111 (F) N = 58 (M) N = 53 F: -0.07 M: -0.02 F: 0.67 M: 0.69 -0.39 0.700 Outside Between Agesc Total N =110 (8) N =28 (9) N =47 (10) N =35 Total:-0.02 8 yr: 0.25 9 yr: -0.04 10 yr: -0.20 Total: 0.62 8 yr: 0.65 9 yr: 0.59 10 yr: 0.58 4.42 (F) 0.014 0.08 Between Ethnicitiesc Total N = 111 (H) N = 19 (W) N = 77 Total: -0.05 H: -0.21 W: -0.01 Total: 0.68 H: 1.03 W: 0.62 0.77 0.573 Outside H010 There is no significant difference between retention of Vitamin D sources among participants. aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp, W = White, H = Hispanic
  • 57. p<0.012 *Repeated Measures ANOVA H010a There is no significant difference between retention of Vitamin D sources between the Hispanic and White population.
  • 58. H011 There is no significant difference between knowledge of Vitamin D sources among school participants. Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P Value Confidence Interval/ Effect Size Overalla 85 Pretest:4.26 Posttest:4.65 Difference:0.39 Pretest: 0.79 Posttest: 0.55 -4.94 0.0001 0.22 Between Gendersb Total N = 85 (F) N = 46 (M) N = 39 F: 0.41 M: 0.36 F: 0.72 M: 0.74 0.34 0.734 Outside Between Agesc Total N = 85 (8) N = 20 (9) N = 34 (10) N = 31 Total: 0.39 8 yr: 0.40 9 yr: 0.32 10 yr: 0.45 Total: 0.73 8 yr: 0.75 9 yr: 0.68 10 yr: 0.77 0.25 0.778 Outside Between Ethnicitiesc Total N = 85 (H) = 2 (W) = 71 Total: 0.39 H: 0.00 W: 0.34 Total:0.73 H: 0.00 W: 0.72 1.08 0.371 Inside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, W = White, H = Hispanic
  • 59. H012 There is no significant difference between retention of Vitamin D sources among school participants. Target Group Sample Size (N) Mean Difference Standard Deviation Test Value P Value Confidence Interval/ Effect Size Overalla 90 Pretest: 4.68 Posttest:4.66 Total Mean Diff: - 0.02 Pretest: 0.54 Posttest: 0.74 0.36 0.717 Outside Between Genderb Total N = 90 (F) N = 48 (M) N = 42 F: 0.00 M: -0.05 F: 0.41 M: 0.73 0.37 0.710 Outside Between Agesc T0tal N = 90 (8) N = 21 (9) N = 37 (10) N = 32 Total: -0.02 8 yr: 0.14 9 yr: 0.54 10 yr: -0.22 Total: 0.58 8 yr: 0.57 9 yr: 0.52 10 yr: 0.61 3.15 (F) 0.048 0.07 Between Ethnicitiesc Total N = 90 (H) N = 2 (W) N = 75 Total: -0.02 H: 0.00 W: -0.01 Total: 0.58 H: 0.00 W: 0.63 0.12 (F) 0.975 Outside apaired t-test; bindependent samples t-test; c One-way ANOVA; F = Female, M = Male, W = White, H = Hispanic
  • 60. Pre to Posttest Sample Size Mean Standard deviation Test Value P-value Confidence interval Overalla 113 Pretest: 4.00 Posttest: 3.88 0.85 1.53 0.127 Inside Between Gendersb Total N= 113 (F) N = 57 (M) N = 56 F: -0.05 M: -0.19 F: 0.91 M: 0.79 0.89 0.375 Inside Between Agesc Total N = 112 (7) N =1 (8) N =31 (9) N =45 (10) N =35 Total: -0.14 7 yr: --- 8 yr: -0.22 9 yr: -0.02 10 yr: -0.22 Total: 0.83 7 yr: 0.99 8 yr: 0.83 9 yr: 0.68 10 yr: 0.82 0.53 0.657 Outside Between Locationsb Total N = 113 (S) N =89 (C) N =24 S: -0.08 C: -0.25 School: 0.79 Camp: 1.07 0.81 0.09 Inside H013 There is no difference in overall physical activity knowledge gained. aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
  • 61. Post to 21-Day Post Sample size Mean Standard deviation Test Value P-value Confidence interval/ effect size Overalla 114 Posttest: 3.85 21-day Posttest: 3.90 Post-test: 0.75 21-day Posttest: 0.83 -0.61 0.537 Outside Between Gendersb Total N= 114 (F) N = 59 (M) N = 55 F: 0.01 M: 0.07 F: 0.68 M: 0.83 -0.39 0.69 Outside Between Agesc Total N = 113 (8) N = 28 (9) N = 50 (10) N = 35 Total: 0.05 8 yr: -0.03 9 yr: 0.16 10 yr: -0.02 Total: 0.75 8 yr: 0.69 9 yr: 0.84 10 yr: 0.66 0.90 0.409 Outside Between Locationsb N=114 (S)=93 (C)= 21 School: -0.01 Camp: 0.28 School : 0.69 Camp: 0.95 -1.34 0.192 Outside H014 There is no difference in physical activity knowledge retained. aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male, S = School, C = Camp
  • 62. In the School Sample Size Mean Standard Deviation Test Value P-Value Confidence Interval/ Effect Size Overalla 89 Pretest: 3.98 Posttest: 3.89 Pretest: 0.71 Posttest: 0.70 1.07 0.288 Outside Between Gendersb Total N = 89 (F) N = 42 (M) N = 47 F: -0.04 M: -0.14 F: 0.88 M: 0.68 0.59 0.554 Outside Between Agesc Total N = 89 (8) N = 20 (9) N = 37 (10) N = 32 Total: -0.08 8 yr: -0.05 9 yr: 0.00 10 yr: -0.21 Total: 0.79 8 yr: 0.82 9 yr: 0.84 10 yr: 0.70 0.68 0.509 Outside H015 There is no difference in overall physical activity knowledge within the school. aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
  • 63. H016 There is no difference in overall physical activity knowledge retained within the school. In the School Sample Size Mean Standard Deviation Test value P-value Confidence Interval/ Effect Size Overalla 93 Posttest: 3.90 21DayPost: 3.89 Posttest: 0.70 21DayPost: 0.81 1.48 0.882 Outside Between Gendersb Total N = 93 (F) = 44 (M) = 49 F: -0.04 M: 0.02 F: 0.57 M: 0.82 -0.42 0.67 Inside Between Agesc Total N = 93 (8) N = 21 (9) N = 40 (10) N = 32 Total: -0.01 8 yr: -0.14 9 yr: 0.10 10 yr: -0.06 Total: 0.69 8 yr: 0.65 9 yr: 0.74 10 yr: 0.66 F=0.96 0.386 Outside aPaired T-Test; bIndependent Samples T-Test; c One-Way ANOVA; F = Female, M = Male
  • 64. 21-Day Posttest Sample Size Mean Standard Deviation Frequencies Correct Frequencies Incorrect Chi-Square P-Value Video vs. Vacuum 128 1.0234 .1518 125 3 1116.281 .000 Basketball vs. Swimming 127 1.5276 .5012 60 67 .386 .535 Computer vs. Playing outside 128 1.0078 .0883 127 1 124.031 .000 Listening to music vs. dancing 128 1.1328 .3407 111 17 69.031 .000 Be active for at least ___ minutes/day 126 1.3968 .4911 76 50 5.365 .021 H017 There is no difference in physical activity knowledge retained. *Chi square test
  • 65. Principal Components Analysis (PCA) Pre-Test Question New variable Cronbach Alpha When I see my (friends, adults at home, brothers, sisters, teachers) drinking milk, I’m more likely to drink milk Drinking milk .863 Like to eat what my teachers eat or when I see my teacher eat something, I like to eat that food too My friends and I eat the same foods School environment .666 Like the same foods my parents like or like to eat what my parents eat Like to eat what my friends eat Home environment .58 *Principal Components Analysis, Cronbach alpha
  • 66. Principal Components Analysis (PCA) 21-day Post Test Question New variable Cronbach alpha When I see my (friends, adults at home, brothers, sisters, teachers) drinking milk, I’m more likely to drink milk Drinking milk .885 Like to eat what my friends/teachers eat When I see my friends/teachers eat something, I like to eat that food too School environment .295 Like to eat what my parents/friends eat My family eats the same foods at mealtime Home environment .604 *Principal Components Analysis, Cronbach alpha
  • 67. Pre-Test (n=119) 21-Day Post-Test (n=120) Response value Yes Chi-Square Statistic P-Value Effect Size Yes Chi-square Statistic P-value Effect size 8 19 128.44 < .0001 .952 (L) 22 49.92 <.0001 .946 (L) 10 10 14 12 15 11 14 18 19 16 57 54 H018 School-age children are not influenced by others drinking milk. *Chi square test
  • 69. Pre-Test (n=121) Response value Yes Chi-Square Statistic P-Value Effect Size 6 79 119.23 < .0001 .956 (L) 8 31 10 7 12 4 H019 The school environment does not have an effect on participants’ bone healthy nutrition behaviors. *Chi square test
  • 71. Pre-Test (n=123) 21-Day Post-Test (n=122) Response value Yes Chi-Square Statistic P-Value Effect Size Yes Chi-square Statistic P-value Effect size 6 39 13.55 .004 .956 (L) 13 17.74 <.0001 .956 (L) 8 39 40 10 31 27 12 14 42 H020 The home environment does not have an effect on participants’ bone healthy nutrition behaviors. *Chi square test
  • 73. H021 There is no difference between genders with regards to influences in participants’ bone healthy nutrition behaviors. Pre-Test 21-Day Post Test Influences Girls Boys P- Value Confidence Interval Girls Boys P-Value Confidence Interval Drinking milk influences 61 58 .333 Inside 61 59 .136 Inside Mean 13.15 13.69 13.57 12.71 School environment 61 60 .762 Outside N/A Mean 6.98 6.90 Home environment 62 61 .465 Outside 60 62 .402 Inside Mean 8.19 8.46 9.77 9.45 *Independent t-test
  • 74. Table: “It is Important for Kids my Age to Have Healthy Bones”: Pre-test* *Chi-Square H022 School-age children do not believe bone health is important. Response (n=119) Yes Chi-Square Statistic 198.17 P-Value .0001 Effect Size 0.94 Very Important 112 Kind of Important 6 Somewhat Important 1
  • 75. Table: “It is Important for Kids my Age to Have Healthy Bones”: Girls vs Boys (Pre-test)* *Independent T-Test H022a There is no difference in belief over bone health importance between genders. Response Girls (n= 63) Boys (n=56) P-Value 0.62 Confidence Interval Outside Very Important 59 53 Kind of Important 3 3 Somewhat Important 1 0
  • 76. H023 There is no difference between posttest and 21-day post-test and participant’s plan to eat foods that are healthy for their bones. Category Sample Size Post-Test Mean 21-Post Test Mean t-value p-value Confidence Interval Overall 79 1.29 + 0.56 1.44 + 0.61 -1.84 0.07 Inside Female 44 1.20 + 0.55 1.36 + 0.57 -1.42 0.16 Outside Male 35 1.40 + 0.55 1.54 + 0.66 -1.15 0.23 Outside Table: “I plan to eat foods that are healthy for my bones*” *Paired T-Test
  • 77. H024There is no difference between post-test and 21-day post-test in ease to incorporate foods that are healthy for their bones. *Paired T-Test Category Sample Size Post-Test Mean 21-Post Test Mean t-value p-value Effect size/Confiden ce Interval Overall 80 1.76 + 0.88 1.96 + 0.85 -2.43 0.01 0.13 Female 45 1.82 + 0.91 1.96 + 0.85 -1.43 0.16 Outside Male 35 1.69 + 0.83 1.97 + 0.86 -1.97 0.06 Inside Table: “It is easy to choose a snack that is good for your bones*” *Paired T-Test
  • 78. H025 There is no difference between post-test to 21-day post-test for ease to choose activities that are good for their bones. Category Sample Size Post-Test Mean 21-Post Test Mean t-value p-value Effect size/Confidence Interval Overall 60 1.63 + 0.76 1.77 + 0.83 -1.16 0.25 Outside Female 38 1.55 + 0.76 1.79 + 0.87 -1.71 0.09 Outside Male 22 1.77 + 0.75 1.72 + 0.77 0.22 0.83 Outside Table: “It is easy to choose an activity that is good for your bones*” *Paired T-Test
  • 79. Category Sample Size Post-Test Mean 21-Post Test Mean t-value p-value Effect size/Confidenc e Interval Overall 113 1.77 + 0.87 1.65 + 0.75 1.53 0.13 Inside Female 56 1.75 + 0.86 1.69 + 0.78 0.44 0.66 Outside Male 57 1.79 + 0.88 1.59 + 0.73 1.80 0.08 Inside H026 There was no change between post-test and 21-day post-test among school aged children’s belief that exercise is fun. Table: “I enjoy exercise” *Paired T-Test
  • 80. H027 School-age children do not plan to engage in specific activities that are beneficial to their bones. Activity Sample Size Yes Chi-Square Statistic P-Value Effect Size/Confidence Interval Chores 92 62 11.13 .001 0.89 (L) Stairs 91 60 9.24 .002 0.89 (L) Dancing 91 73 33.24 .0001 0.90 (L) Tag 91 74 35.70 .0001 0.90 (L) Karate 91 52 1.86 0.17 Outside Tennis 91 66 18.47 .0001 0.89 (L) Table: Plan to Engage in Physical Activities for Bone Health: Post-Test* *Chi-Square
  • 82. ● Constraints for time allotted to run the game ● Language barriers during the camp session ● Decrease in sample size due to consent forms ● Further validate test Limitations
  • 83. Strengths ● Appropriate for a wide range of ages ● Assessment tool incorporated social cognitive theory ● Covers wide variety of material ● Incorporated into PE classes ● Intervention can take place inside or outside ● Participants enjoyed the interactive and educational game
  • 84. Implications for our study • Causes changes in bone health knowledge and retention • Applicable in both settings • Positive bone health behaviors will be modeled • Influencers and understanding bone health importance can motivate • Self-efficacy plays a role in behavior changes and motivation
  • 85. Future Research ● Implementing the program in schools with different demographics ● Application of influences and modeling in children ● Female’s dietary behaviors during pubescence
  • 86. Special Thanks! • Thesis Advisor Dr. Karen Plawecki • Students and faculty at St. Walter’s School • Campers and staff at West Chicago Summer Camp • Stan’s Donuts in the city
  • 88. References - Au L, Rogers G, Harris S, Dwyer J, Jacques P, Sacheck J. Associations of vitamin D intake with 25-hydroxyvitamin D in overweight and racially/ethnically diverse US children November 2013 Springer, 2012. - Bailey R, Dodd K, Picciano M, et al. Estimation of total usual calcium and vitamin D intakes in the united states. J Nutr. April 2010;140(4):817-822. - Behnke R. Kinetic Anatomy Third Edition. 2012. Available from: http://www.humankinetics.com/excerpts/excerpts/levers- work-to-create-movement-in-the-human-body - Bone structure and function: Bone architecture. ASBMR Bone Curriculum Web site. https://depts.washington.edu/bonebio/ASBMRed/structure.html Updated January 16, 2004. Accessed November 15, 2015. - Bone. http://www.c14dating.com/bone.html Accessed November 15, 2015. - Fortes CM, Goldberg TB, Kurokawa CS, et al. Relationship between chronological and bone ages and pubertal stage of breasts with bone biomarkers and bone mineral density in adolescents. J Pediatr (Rio J). 2014;90(6):624-31. - Hever J. 5 Ways to Optimize Bone Health. 2015. Available from: http://plantbaseddietitian.com/5-ways-to-optimize-bone- health/ - Horne, PJ, Tapper, K, Lowe CF, Hardman CA, Jackson MC, Woolner J. Increasing children's fruit and vegetable consumption: a peer modeling and rewards based intervention. European Journal of Clinical Nutrition (2004),58: 1649-1660. - Gilbert SF. Osteogenesis: The Development of Bones. In Developmental Biology 6th edition. Sunderland (MA): Sinauer Associates; 2000. Available from: http://www.ncbi.nlm.nih.gov/books/NBK10056/. - Houillier - International Osteoporosis Foundation (IOF). Preventing Osteoporosis. 2015. Available from: http://www.iofbonehealth.org/preventing-osteoporosis - Kini U, Nandeesh BN. Physiology of Bone Formation, Remodeling and Metabolism.
  • 89. References • Larsen, Andrew, McArdle, John, Robertson, Trina and Dunton, Genevieve. Nutrition self-efficacy is unidirectionally related to outcome expectations in children 2015. • Lubans, David, Plotnikoff, Ronald, Morgan, Philip, Dewar, Deborah, Costigan, Sarah and Collins, Clare. Explaining dietary intake in adolescent girls from disadvantaged secondary schools. A test of Social Cognitive Theory 2012. • Mansbach J, Ginde A, Camargo Jr. C. Serum 25-Hydroxyvitamin D Levels Among US Children Aged 1 to 11 Years: Do Children Need More Vitamin D? Pediatrics [serial online]. November 2009;124(5):1404-1410. • Murphy M, Douglass J, Johnson R, Spence L. Drinking flavored or plain milk is positively associated with nutrient intake and is not associated with adverse effects on weight status in US children and adolescents. April 2008. • Moore C, Radcliffe J, Liu Y. Vitamin D intakes of children differ by race/ethnicity, sex, age, and income in the United States, 2007 to 2010 June 2014. • Nield L. et al. Rickets: Not a Disease of the Past. American Family Physician. August 2006. • Orlowski M, Lorson K, Lyon A, Minoughan S. My classroom physical activity pyramid: A tool for integrating movement into the classroom. . JOPERD. 2013;84(9):47-48-51. • Rantalainen T, Heinonen A, Linnamo V, Komi PV, Takala TE, Kainulainen H. Short term bone biochemical response to a single bout of high impact exercise. Journal of Sports Science and Medicine 2009; 8: 553-559. • Rehm C, Drewnowski A, Monsivais P. Potential population-level nutritional impact of replacing whole and reduced-fat milk with low-fat and skim milk among US children aged 2-19 years. January 2015. • Thacher T, et al. Increasing Incidence of Nutritional Rickets: A population-based study in Olmsted County, Minnesota. Mayo Clinic Proc. Feb 2013. 88 (2):176-183. • Webb D, Donovan S, Meydani S. The role of yogurt in improving the quality of the american diet and meeting dietary guidelines. Nutr Rev. March 2014; 72(3): 180-189.