Smart-Phone Obesity Prevention Trial for Adolescent Boys in Low-Income Communities: The ATLAS RCT

OBJECTIVE: The goal of this study was to evaluate the impact of the Active Teen Leaders Avoiding Screen-time (ATLAS) intervention for adolescent boys, an obesity prevention intervention using smartphone technology. METHODS: ATLAS was a cluster randomized controlled trial conducted in 14 secondary schools in low-income communities in New South Wales, Australia. Participants were 361 adolescent boys (aged 12–14 years) considered at risk of obesity. The 20-week intervention was guided by self-determination theory and social cognitive theory and involved: teacher professional development, provision of fitness equipment to schools, face-to-face physical activity sessions, lunchtime student mentoring sessions, researcher-led seminars, a smartphone application and Web site, and parental strategies for reducing screen-time. Outcome measures included BMI and waist circumference, percent body fat, physical activity (accelerometers), screen-time, sugar-sweetened beverage intake, muscular fitness, and resistance training skill competency. RESULTS: Overall, there were no significant intervention effects for BMI, waist circumference, percent body fat, or physical activity. Significant intervention effects were found for screen-time (mean ± SE: –30 ± 10.08 min/d; P = .03), sugar-sweetened beverage consumption (mean: –0.6 ± 0.26 glass/d; P = .01), muscular fitness (mean: 0.9 ± 0.49 repetition; P = .04), and resistance training skills (mean: 5.7 ± 0.67 units; P < .001). CONCLUSIONS: This school-based intervention targeting low-income adolescent boys did not result in significant effects on body composition, perhaps due to an insufficient activity dose. However, the intervention was successful in improving muscular fitness, movement skills, and key weight-related behaviors.

[1]  A. S. Singh,et al.  Tracking of childhood overweight into adulthood: a systematic review of the literature , 2008, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[2]  Penny Gordon-Larsen,et al.  Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood , 2007, The international journal of behavioral nutrition and physical activity.

[3]  P. Morgan,et al.  Improving physical self‐perception in adolescent boys from disadvantaged schools: psychological outcomes from the Physical Activity Leaders randomized controlled trial , 2012, Pediatric obesity.

[4]  Nicholas D. Gilson,et al.  Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review , 2014, Sports Medicine.

[5]  Elroy J. Aguiar,et al.  Randomized controlled trial of the Physical Activity Leaders (PALs) program for adolescent boys from disadvantaged secondary schools. , 2011, Preventive medicine.

[6]  Melanie Hingle,et al.  Texting for health: the use of participatory methods to develop healthy lifestyle messages for teens. , 2013, Journal of nutrition education and behavior.

[7]  Niranjala D. Weerakkody,et al.  Mobile phones and children : an Australian perspective , 2008 .

[8]  A. Faigenbaum,et al.  Development, Test-Retest Reliability, and Construct Validity of the Resistance Training Skills Battery , 2014, Journal of strength and conditioning research.

[9]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination , 2004 .

[10]  I. White,et al.  Including all individuals is not enough: Lessons for intention-to-treat analysis , 2012, Clinical trials.

[11]  R. Plotnikoff,et al.  Development and evaluation of the Motivation to Limit Screen-time Questionnaire (MLSQ) for adolescents. , 2013, Preventive medicine.

[12]  C. Nishida,et al.  Development of a WHO growth reference for school-aged children and adolescents. , 2007, Bulletin of the World Health Organization.

[13]  R. Plotnikoff,et al.  Preventing Obesity Among Adolescent Girls: One-Year Outcomes of the Nutrition and Enjoyable Activity for Teen Girls (NEAT Girls) Cluster Randomized Controlled Trial. , 2012, Archives of pediatrics & adolescent medicine.

[14]  D. Altman,et al.  CONSORT statement: extension to cluster randomised trials , 2004, BMJ : British Medical Journal.

[15]  Sonia Caprio,et al.  Obesity and the metabolic syndrome in children and adolescents. , 2004, The New England journal of medicine.

[16]  E. L. Mortensen,et al.  Predisposition to Obesity: Should We Target Those Most Susceptible? , 2012, Current Obesity Reports.

[17]  D. Labarthe,et al.  Blood lipids in children: age-related patterns and association with body-fat indices: Project HeartBeat! , 2009, American journal of preventive medicine.

[18]  Stewart Trost,et al.  Evidence based physical activity for school-age youth. , 2005, The Journal of pediatrics.

[19]  S. Gortmaker,et al.  Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health. , 1999, Archives of pediatrics & adolescent medicine.

[20]  R. Plotnikoff,et al.  The nutrition and enjoyable activity for teen girls study: a cluster randomized controlled trial. , 2013, American journal of preventive medicine.

[21]  J. Buckley,et al.  Obesity: the new childhood disability? , 2011, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[22]  T. Cole,et al.  What is the best measure of adiposity change in growing children: BMI, BMI %, BMI z-score or BMI centile? , 2005, European Journal of Clinical Nutrition.

[23]  Alan D. Lopez,et al.  Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2014, The Lancet.

[24]  D. Kerr,et al.  Preventing childhood obesity: two year follow-up results from the Christchurch obesity prevention programme in schools (CHOPPS) , 2007, BMJ : British Medical Journal.

[25]  James Dollman,et al.  Screen time is more strongly associated than physical activity with overweight and obesity in 9‐ to 16‐year‐old Australians , 2012, Acta paediatrica.

[26]  T. Cole,et al.  PEDIATRIC HIGHLIGHT Childhood obesity and overweight prevalence trends in England: evidence for growing socioeconomic disparities , 2010 .

[27]  Marilu D. Meredith Fitnessgram : test administration manual , 1999 .

[28]  J. Brug,et al.  Dutch obesity intervention in teenagers: effectiveness of a school-based program on body composition and behavior. , 2009, Archives of pediatrics & adolescent medicine.

[29]  Sara Wilcox,et al.  Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games? , 2013, Translational behavioral medicine.

[30]  Philip J. Morgan,et al.  Development and Implementation of a Smartphone Application to Promote Physical Activity and Reduce Screen-Time in Adolescent Boys , 2014, Front. Public Health.

[31]  P. Morgan,et al.  Potential moderators and mediators of intervention effects in an obesity prevention program for adolescent boys from disadvantaged schools. , 2012, Journal of science and medicine in sport.

[32]  M. Peterson,et al.  Strength Capacity and Cardiometabolic Risk Clustering in Adolescents , 2014, Pediatrics.

[33]  A. Faigenbaum,et al.  Rater agreement of a test battery designed to assess adolescents' resistance training skill competency. , 2015, Journal of science and medicine in sport.

[34]  Stewart G Trost,et al.  Conducting accelerometer-based activity assessments in field-based research. , 2005, Medicine and science in sports and exercise.

[35]  F. Hu,et al.  Pro v Con Debate: Role of sugar sweetened beverages in obesity Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases , 2013 .

[36]  S. Osganian,et al.  A randomized trial of sugar-sweetened beverages and adolescent body weight. , 2012, The New England journal of medicine.

[37]  A. Okely,et al.  The reliability of the Adolescent Sedentary Activity Questionnaire (ASAQ). , 2007, Preventive medicine.

[38]  A. Subar,et al.  Sugar-sweetened beverage consumption in the U.S.: novel assessment methodology. , 2013, American journal of preventive medicine.

[39]  Narelle Eather,et al.  The Health Benefits of Muscular Fitness for Children and Adolescents: A Systematic Review and Meta-Analysis , 2014, Sports Medicine.

[40]  R. Schiel,et al.  An innovative telemedical support system to measure physical activity in children and adolescents with type 1 diabetes mellitus. , 2011, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.

[41]  R. Plotnikoff,et al.  Test–retest reliability of a battery of field-based health-related fitness measures for adolescents , 2011, Journal of sports sciences.

[42]  R. Mcmurray,et al.  Calibration of two objective measures of physical activity for children , 2008, Journal of sports sciences.

[43]  Jo Salmon,et al.  Rationale and study protocol for the 'active teen leaders avoiding screen-time' (ATLAS) group randomized controlled trial: an obesity prevention intervention for adolescent boys from schools in low-income communities. , 2014, Contemporary clinical trials.

[44]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[45]  Adrian Bauman,et al.  NSW Schools Physical Activity and Nutrition Survey (SPANS) 2010: Full Report. , 2013 .

[46]  T. Baranowski,et al.  Lessons Learned From the HEALTHY Primary Prevention Trial of Risk Factors for Type 2 Diabetes in Middle School Youth , 2013, Current Diabetes Reports.

[47]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination in Human Behavior , 1975, Perspectives in Social Psychology.