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JAMA Pediatrics Journal Club Slides:
Pediatric Weight Management Program
Trost SG, Sundal D, Foster GD, Lent MR, Vojta D. Effects of a
pediatric weight management program with and without active video
games: a randomized trial. JAMA Pediatr. Published online March 3,
2014. doi:10.1001/jamapediatrics.2013.3436.
Copyright restrictions may apply
•  Background
–  Physical inactivity is an important contributing factor to the
development and maintenance of childhood obesity.
–  Active video games may be an effective strategy to increase physical
activity in overweight and obese children.
–  The specific effects of active gaming on physical activity and weight
loss delivered within the context of a pediatric weight management
program are unknown.
•  Study Objective
–  To evaluate the effects of active video gaming on physical activity and
weight loss in children participating in an evidence-based weight
management program delivered in the community.
Introduction
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•  Study Design
–  Group-randomized trial conducted during a 16-week period.
•  Setting
–  YMCAs and schools located in Massachusetts, Rhode Island, and Texas.
•  Patients
–  75 overweight or obese children (41 girls [55%], 34 whites [45%], 20
Hispanics [27%], and 17 blacks [23%]) enrolled in a community-based
pediatric weight management program.
–  Mean (SD) age, 10.0 (1.7) years.
–  Mean (SD) body mass index (BMI) z score, 2.15 (0.40).
–  Mean (SD) percentage overweight, 64.3% (19.9%).
Methods
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Methods
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Methods
Descriptive Characteristics for the Total Sample and the Treatment Groups at Baselinea
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Methods
•  Outcomes
–  Measured at baseline, week 8, and week 16 of the program.
–  Physical activity was measured using the ActiGraph GT3X or GT3X+
accelerometer-based motion sensor.
–  Daily time spent in moderate-to-vigorous physical activity (MVPA) and
vigorous physical activity (VPA).
–  Percentage overweight calculated as the percentage over the median BMI
for age and sex.
–  BMI z score using the 2000 BMI-for-age growth charts from the Centers
for Disease Control and Prevention.
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Methods
•  Limitations
–  Program conducted over 16 weeks. Whether positive changes are
maintained remains a question for future research.
–  The costs associated with the purchase of game consoles and individual
games may be a barrier for low-income families.
Copyright restrictions may apply
Methods
•  Intervention
–  All participants received a comprehensive family-based pediatric weight
management program (JOIN for ME).
–  Participants in the program and active gaming condition received a
game console and motion capture device (Xbox and Kinect; Microsoft
Corp) and 1 active sports game at their second treatment session and
received a second active game halfway through the program.
–  Participants in the program-only condition were given an Xbox, Kinect,
and 2 games at the completion of the 16-week program.
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Results
•  Program and active gaming participants exhibited significant increases in
MVPA (mean [SD], 7.4 [2.7] min/d) and VPA (2.8 [0.9] min/d) at week 16
(P < .05).
•  MVPA and VPA declined or remained unchanged in participants in the
program-only control group.
•  MVPA mean (SD) net difference = 8.0 (3.8) min/d (P = .04).
•  VPA mean (SD) net difference = 3.1 (1.3) min/d (P = .02).
•  Participants in both conditions exhibited significant reductions in percentage
overweight and BMI z score at week 16.
•  Program and active gaming participants exhibited significantly greater
reductions in percentage overweight (mean [SD], −10.9% [1.6%] vs −5.5%
[1.5%]; P = .02) and BMI z score (−0.25 [0.03] vs −0.11 [0.03]; P = .001).
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Results
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Results
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Results
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Results
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Comment
•  First study to use a randomized controlled trial study design to delineate the
effects of active gaming on habitual physical activity among obese children.
•  The addition of active gaming to an established community-based pediatric
weight management program resulted in significant increases in MVPA
among obese children.
•  Consistent with the results of a previous evaluation of the JOIN for ME
pediatric weight loss program, all participants, regardless of study
allocation, exhibited significant and clinically meaningful reductions in
relative weight.
•  Providing participants an active gaming console and a game resulted in a
50% greater reduction in relative weight and BMI z score.
Copyright restrictions may apply
•  The study used a state-of-the-art objective measure of physical activity, thus
eliminating the substantial recall bias and measurement error associated
with self-report methods.
•  The study examined the impact of active gaming in the context of a fully
scalable, community-based pediatric weight management program
administered in schools and YMCAs. Thus, the potential for translating
these findings to other settings and population groups is high.
Comment
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•  If you have questions, please contact the corresponding author:
–  Stewart G. Trost, PhD, Center for Research on Exercise, Physical
Activity and Health, School of Human Movement Studies, The
University of Queensland, Brisbane, QLD, Australia 4072
(s.trost@uq.edu.au).
Funding/Support
•  This study was supported by the UnitedHealth Group.
Conflict of Interest Disclosures
•  Dr Trost is a member of the ActiGraph Scientific Advisory Board. Dr Foster
serves as a consultant to the UnitedHealth Group. Ms Sundal and Dr Vojta
are employees of UnitedHealth Group. No other disclosures are reported.
Contact Information

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Effects of a Pediatric Weight Management Program With and Without Active Video Games

  • 1. Copyright restrictions may apply JAMA Pediatrics Journal Club Slides: Pediatric Weight Management Program Trost SG, Sundal D, Foster GD, Lent MR, Vojta D. Effects of a pediatric weight management program with and without active video games: a randomized trial. JAMA Pediatr. Published online March 3, 2014. doi:10.1001/jamapediatrics.2013.3436.
  • 2. Copyright restrictions may apply •  Background –  Physical inactivity is an important contributing factor to the development and maintenance of childhood obesity. –  Active video games may be an effective strategy to increase physical activity in overweight and obese children. –  The specific effects of active gaming on physical activity and weight loss delivered within the context of a pediatric weight management program are unknown. •  Study Objective –  To evaluate the effects of active video gaming on physical activity and weight loss in children participating in an evidence-based weight management program delivered in the community. Introduction
  • 3. Copyright restrictions may apply •  Study Design –  Group-randomized trial conducted during a 16-week period. •  Setting –  YMCAs and schools located in Massachusetts, Rhode Island, and Texas. •  Patients –  75 overweight or obese children (41 girls [55%], 34 whites [45%], 20 Hispanics [27%], and 17 blacks [23%]) enrolled in a community-based pediatric weight management program. –  Mean (SD) age, 10.0 (1.7) years. –  Mean (SD) body mass index (BMI) z score, 2.15 (0.40). –  Mean (SD) percentage overweight, 64.3% (19.9%). Methods
  • 5. Copyright restrictions may apply Methods Descriptive Characteristics for the Total Sample and the Treatment Groups at Baselinea
  • 6. Copyright restrictions may apply Methods •  Outcomes –  Measured at baseline, week 8, and week 16 of the program. –  Physical activity was measured using the ActiGraph GT3X or GT3X+ accelerometer-based motion sensor. –  Daily time spent in moderate-to-vigorous physical activity (MVPA) and vigorous physical activity (VPA). –  Percentage overweight calculated as the percentage over the median BMI for age and sex. –  BMI z score using the 2000 BMI-for-age growth charts from the Centers for Disease Control and Prevention.
  • 7. Copyright restrictions may apply Methods •  Limitations –  Program conducted over 16 weeks. Whether positive changes are maintained remains a question for future research. –  The costs associated with the purchase of game consoles and individual games may be a barrier for low-income families.
  • 8. Copyright restrictions may apply Methods •  Intervention –  All participants received a comprehensive family-based pediatric weight management program (JOIN for ME). –  Participants in the program and active gaming condition received a game console and motion capture device (Xbox and Kinect; Microsoft Corp) and 1 active sports game at their second treatment session and received a second active game halfway through the program. –  Participants in the program-only condition were given an Xbox, Kinect, and 2 games at the completion of the 16-week program.
  • 9. Copyright restrictions may apply Results •  Program and active gaming participants exhibited significant increases in MVPA (mean [SD], 7.4 [2.7] min/d) and VPA (2.8 [0.9] min/d) at week 16 (P < .05). •  MVPA and VPA declined or remained unchanged in participants in the program-only control group. •  MVPA mean (SD) net difference = 8.0 (3.8) min/d (P = .04). •  VPA mean (SD) net difference = 3.1 (1.3) min/d (P = .02). •  Participants in both conditions exhibited significant reductions in percentage overweight and BMI z score at week 16. •  Program and active gaming participants exhibited significantly greater reductions in percentage overweight (mean [SD], −10.9% [1.6%] vs −5.5% [1.5%]; P = .02) and BMI z score (−0.25 [0.03] vs −0.11 [0.03]; P = .001).
  • 10. Copyright restrictions may apply Results
  • 11. Copyright restrictions may apply Results
  • 12. Copyright restrictions may apply Results
  • 13. Copyright restrictions may apply Results
  • 14. Copyright restrictions may apply Comment •  First study to use a randomized controlled trial study design to delineate the effects of active gaming on habitual physical activity among obese children. •  The addition of active gaming to an established community-based pediatric weight management program resulted in significant increases in MVPA among obese children. •  Consistent with the results of a previous evaluation of the JOIN for ME pediatric weight loss program, all participants, regardless of study allocation, exhibited significant and clinically meaningful reductions in relative weight. •  Providing participants an active gaming console and a game resulted in a 50% greater reduction in relative weight and BMI z score.
  • 15. Copyright restrictions may apply •  The study used a state-of-the-art objective measure of physical activity, thus eliminating the substantial recall bias and measurement error associated with self-report methods. •  The study examined the impact of active gaming in the context of a fully scalable, community-based pediatric weight management program administered in schools and YMCAs. Thus, the potential for translating these findings to other settings and population groups is high. Comment
  • 16. Copyright restrictions may apply •  If you have questions, please contact the corresponding author: –  Stewart G. Trost, PhD, Center for Research on Exercise, Physical Activity and Health, School of Human Movement Studies, The University of Queensland, Brisbane, QLD, Australia 4072 (s.trost@uq.edu.au). Funding/Support •  This study was supported by the UnitedHealth Group. Conflict of Interest Disclosures •  Dr Trost is a member of the ActiGraph Scientific Advisory Board. Dr Foster serves as a consultant to the UnitedHealth Group. Ms Sundal and Dr Vojta are employees of UnitedHealth Group. No other disclosures are reported. Contact Information