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.

INTRODUCTION The negative consequences of unhealthy weight gain and the high likelihood of pediatric obesity tracking into adulthood highlight the importance of targeting youth who are 'at risk' of obesity. The aim of this paper is to report the rationale and study protocol for the 'Active Teen Leaders Avoiding Screen-time' (ATLAS) obesity prevention intervention for adolescent boys living in low-income communities. METHODS/DESIGN The ATLAS intervention will be evaluated using a cluster randomized controlled trial in 14 secondary schools in the state of New South Wales (NSW), Australia (2012 to 2014). ATLAS is an 8-month multi-component, school-based program informed by self-determination theory and social cognitive theory. The intervention consists of teacher professional development, enhanced school-sport sessions, researcher-led seminars, lunch-time physical activity mentoring sessions, pedometers for self-monitoring, provision of equipment to schools, parental newsletters, and a smartphone application and website. Assessments were conducted at baseline and will be completed again at 9- and 18-months from baseline. Primary outcomes are body mass index (BMI) and waist circumference. Secondary outcomes include BMI z-scores, body fat (bioelectrical impedance analysis), physical activity (accelerometers), muscular fitness (grip strength and push-ups), screen-time, sugar-sweetened beverage consumption, resistance training skill competency, daytime sleepiness, subjective well-being, physical self-perception, pathological video gaming, and aggression. Hypothesized mediators of behavior change will also be explored. DISCUSSION ATLAS is an innovative school-based intervention designed to improve the health behaviors and related outcomes of adolescent males in low-income communities.

[1]  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.

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

[3]  D. C. Howell Statistical methods for psychology, 3rd ed. , 1992 .

[4]  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.

[5]  D. Lawlor,et al.  Childhood obesity , 2010, The Lancet.

[6]  M. Belyea,et al.  The COPE healthy lifestyles TEEN randomized controlled trial with culturally diverse high school adolescents: baseline characteristics and methods. , 2013, Contemporary clinical trials.

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

[8]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[9]  J. Brug,et al.  Short-term effects of school-based weight gain prevention among adolescents. , 2007, Archives of pediatrics & adolescent medicine.

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

[11]  J. Shaw,et al.  Overweight and obesity in Australia: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab) , 2003, The Medical journal of Australia.

[12]  J. Levine,et al.  Non-Exercise Activity Thermogenesis: The Crouching Tiger Hidden Dragon of Societal Weight Gain , 2006, Arteriosclerosis, thrombosis, and vascular biology.

[13]  Igor Karp,et al.  Teens and screens: the influence of screen time on adiposity in adolescents. , 2010, American journal of epidemiology.

[14]  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.

[15]  Philip J. Morgan,et al.  Adolescents and school sport: the relationship between beliefs, social support and physical self-perception , 2011 .

[16]  J. Shaw,et al.  Television Viewing Time and Mortality: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) , 2010, Circulation.

[17]  H. Marsh,et al.  Physical Self Description Questionnaire: stability and discriminant validity. , 1996, Research quarterly for exercise and sport.

[18]  S. Biddle,et al.  A review of mediators of behavior in interventions to promote physical activity among children and adolescents. , 2008, Preventive medicine.

[19]  R. Strauss,et al.  Childhood obesity. , 2002, Pediatric clinics of North America.

[20]  K. Fox,et al.  Perceived locus of causality, goal orientations, and perceived competence in school physical education classes. , 1994, The British journal of educational psychology.

[21]  F. Hu,et al.  Intake of sugar-sweetened beverages and weight gain: a systematic review. , 2006, The American journal of clinical nutrition.

[22]  C. Matthews,et al.  Best practices for using physical activity monitors in population-based research. , 2012, Medicine and science in sports and exercise.

[23]  Darrell M Wilson,et al.  Stanford GEMS phase 2 obesity prevention trial for low-income African-American girls: design and sample baseline characteristics. , 2008, Contemporary clinical trials.

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

[25]  U. Ekelund,et al.  Global physical activity levels: surveillance progress, pitfalls, and prospects , 2012, The Lancet.

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

[27]  D. Lubans,et al.  Muscular fitness, body composition and physical self-perception in adolescents. , 2011, Journal of science and medicine in sport.

[28]  Dale Peeples,et al.  Sadness, suicide, and their association with video game and internet overuse among teens: results from the youth risk behavior survey 2007 and 2009. , 2011, Suicide & life-threatening behavior.

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

[30]  I. Janssen,et al.  Systematic review of the health benefits of physical activity and fitness in school-aged children and youth , 2010, The international journal of behavioral nutrition and physical activity.

[31]  F. Rasmussen,et al.  Muscular strength in male adolescents and premature death: cohort study of one million participants , 2012, BMJ : British Medical Journal.

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

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

[34]  S. Hawkins,et al.  Treatment and prevention of obesity--are there critical periods for intervention? , 2006, International journal of epidemiology.

[35]  L. Taylor,et al.  Human Agency in Social Cognitive Theory , 1989 .

[36]  J. Gray,et al.  Muscle Dissatisfaction: An Overview of Psychological and Cultural Research and Theory. , 2007 .

[37]  Jo Salmon,et al.  Health risks, correlates, and interventions to reduce sedentary behavior in young people. , 2011, American journal of preventive medicine.

[38]  R. Tremblay,et al.  Prevalence of father-child rough-and-tumble play and physical aggression in preschool children , 2003 .

[39]  D. C. Howell Statistical Methods for Psychology , 1987 .

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

[41]  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.

[42]  R. Parke,et al.  Bridging the gap: parent-child play interaction and peer interactive competence. , 1984, Child development.

[43]  R. Frankowski,et al.  The Aggression Scale: , 2001 .

[44]  J Suni,et al.  Criterion-related validity of field-based fitness tests in youth: a systematic review , 2009, British Journal of Sports Medicine.

[45]  L. Ward,et al.  Prediction of fat‐free body mass from bioelectrical impedance among 9‐ to 11‐year‐old Swedish children , 2007, Diabetes, obesity & metabolism.

[46]  J. Brug,et al.  Design of the Dutch Obesity Intervention in Teenagers (NRG-DOiT): systematic development, implementation and evaluation of a school-based intervention aimed at the prevention of excessive weight gain in adolescents , 2006, BMC public health.

[47]  P. Shrout Measurement reliability and agreement in psychiatry , 1998, Statistical methods in medical research.

[48]  Jacqueline Kerr,et al.  Adolescent screen time and rules to limit screen time in the home. , 2011, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[49]  Frederic Gottrand,et al.  Muscular and cardiorespiratory fitness are independently associated with metabolic risk in adolescents: the HELENA study , 2011, Pediatric diabetes.

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

[51]  R. Plotnikoff,et al.  Rationale and study protocol for the supporting children’s outcomes using rewards, exercise and skills (SCORES) group randomized controlled trial: A physical activity and fundamental movement skills intervention for primary schools in low-income communities , 2012, BMC Public Health.

[52]  A. Must,et al.  Risks and consequences of childhood and adolescent obesity , 1999, International Journal of Obesity.

[53]  A. Okely,et al.  Prevalence and socio-demographic distribution of eating, physical activity and sedentary behaviours among Australian adolescents. , 2012, Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals.

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

[55]  Chu Kim-prieto,et al.  New Well-being Measures: Short Scales to Assess Flourishing and Positive and Negative Feelings , 2010 .

[56]  R. Plotnikoff,et al.  Development and evaluation of social cognitive measures related to adolescent physical activity. , 2013, Journal of physical activity & health.

[57]  C. Drake,et al.  The pediatric daytime sleepiness scale (PDSS): sleep habits and school outcomes in middle-school children. , 2003, Sleep.

[58]  C. Currie,et al.  Social determinants of health and well-being among young people , 2012 .

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

[60]  M. Sjöström,et al.  Physical fitness in childhood and adolescence: a powerful marker of health , 2008, International Journal of Obesity.

[61]  C. Summerbell,et al.  Systematic review of school‐based interventions that focus on changing dietary intake and physical activity levels to prevent childhood obesity: an update to the obesity guidance produced by the National Institute for Health and Clinical Excellence , 2009, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[62]  B. Swinburn,et al.  The global obesity pandemic: shaped by global drivers and local environments , 2011, The Lancet.

[63]  J. Sallis Age-related decline in physical activity: a synthesis of human and animal studies. , 2000, Medicine and science in sports and exercise.

[64]  U. Foehr MEDIA MULTITASKING AMONG AMERICAN YOUTH: PREVALENCE, PREDICTORS AND PAIRINGS , 2006 .

[65]  Peter T Katzmarzyk,et al.  Screen time, physical activity, and overweight in U.S. youth: national survey of children's health 2003. , 2010, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[66]  A. Prentice,et al.  Positive, site-specific associations between bone mineral status, fitness, and time spent at high-impact activities in 16- to 18-year-old boys. , 2005, Bone.

[67]  J. Collins,et al.  Using the School Environment to Promote Physical Activity and Healthy Eating , 2000 .

[68]  F B Ortega,et al.  Reliability of health-related physical fitness tests in European adolescents. The HELENA Study , 2008, International Journal of Obesity.

[69]  J. Sallis,et al.  Health Enhancing Physical Activity for Young People: Statement of the United Kingdom Expert Consensus Conference , 2001 .

[70]  Paige C. Morgan,et al.  A systematic review of the validity and reliability of sedentary behaviour measures used with children and adolescents , 2011, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[71]  Ilse de Bourdeaudhuij,et al.  Reliability and validity of a screen time-based sedentary behaviour questionnaire for adolescents: The HELENA study. , 2012, European journal of public health.

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

[73]  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.

[74]  Richard Larouche,et al.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth , 2011, The international journal of behavioral nutrition and physical activity.

[75]  D. Gentile Pathological Video-Game Use Among Youth Ages 8 to 18 , 2009, Psychological science.

[76]  Robin Callister,et al.  The Nutrition and Enjoyable Activity for Teen Girls (NEAT girls) randomized controlled trial for adolescent girls from disadvantaged secondary schools: rationale, study protocol, and baseline results , 2010, BMC public health.

[77]  J B Carlin,et al.  Design of cross‐sectional surveys using cluster sampling: an overview with Australian case studies , 1999, Australian and New Zealand journal of public health.

[78]  M. Kogan,et al.  Racial/ethnic, socioeconomic, and behavioral determinants of childhood and adolescent obesity in the United States: analyzing independent and joint associations. , 2008, Annals of epidemiology.

[79]  George C Patton,et al.  Physical activity, leisure-time screen use and depression among children and young adolescents. , 2014, Journal of science and medicine in sport.

[80]  M. Hagger,et al.  Extending the trans-contextual model in physical education and leisure-time contexts: examining the role of basic psychological need satisfaction. , 2010, The British journal of educational psychology.

[81]  D. Crawford,et al.  Reliability and Validity of Physical Activity Questionnaires for Children: The Children’s Leisure Activities Study Survey (CLASS) , 2004 .

[82]  J. Sallis,et al.  Using accelerometers in youth physical activity studies: a review of methods. , 2013, Journal of physical activity & health.

[83]  Geert Molenberghs,et al.  Choice of the primary analysis in longitudinal clinical trials , 2004 .

[84]  M D Jensen,et al.  Energy expenditure of nonexercise activity. , 2000, The American journal of clinical nutrition.

[85]  Aleksandra Cislak,et al.  Effects of School-based Interventions Targeting Obesity-Related Behaviors and Body Weight Change: A Systematic Umbrella Review , 2011, Behavioral medicine.

[86]  Martin S. Hagger,et al.  The Processes by Which Perceived Autonomy Support in Physical Education Promotes Leisure-Time Physical Activity Intentions and Behavior: A Trans-Contextual Model , 2003 .

[87]  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.

[88]  Ken Hodge,et al.  The Basic Needs Satisfaction in Sport Scale (BNSSS) : instrument development and initial validity evidence , 2011 .

[89]  G. W. Snedecor Statistical Methods , 1964 .

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

[91]  Sarah-Jayne Blakemore,et al.  Adolescence: a foundation for future health , 2012, The Lancet.

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

[93]  S. Biddle,et al.  Physical activity and mental health in children and adolescents: a review of reviews , 2011, British Journal of Sports Medicine.

[94]  M. Heo,et al.  Waist circumference-to-height ratio predicts adiposity better than body mass index in children and adolescents , 2013, International Journal of Obesity.

[95]  R. Plotnikoff,et al.  Associations between sedentary behavior and self-esteem in adolescent girls from schools in low-income communities , 2013 .

[96]  D P MacKinnon,et al.  Multilevel Mediation Modeling in Group-Based Intervention Studies , 1999, Evaluation review.

[97]  J. Harris,et al.  School-based physical activity interventions: effectiveness, trends, issues, implications and recommendations for practice , 2006 .

[98]  Martyn Standage,et al.  A model of contextual motivation in physical education: Using constructs from self-determination and achievement goal theories to predict physical activity intentions. , 2003 .

[99]  A. Must,et al.  Physical activity and sedentary behavior: a review of longitudinal studies of weight and adiposity in youth , 2005, International Journal of Obesity.

[100]  A. Pellegrini,et al.  Physical activity play: the nature and function of a neglected aspect of playing. , 1998, Child development.

[101]  J. Brug,et al.  What works in school-based energy balance behaviour interventions and what does not? A systematic review of mediating mechanisms , 2011, International Journal of Obesity.

[102]  C. Currie,et al.  Social determinants of health and well-being among young people: Health Behaviour in School-aged Children (HBSC) study: international report from the 2009/2010 survey. , 2012 .