A school-based intervention incorporating smartphone technology to improve health-related fitness among adolescents: rationale and study protocol for the NEAT and ATLAS 2.0 cluster randomised controlled trial and dissemination study

David R Lubans, Jordan J Smith, Louisa R Peralta, Ronald C Plotnikoff, Anthony D Okely, Jo Salmon, Narelle Eather, Deborah L Dewar, Sarah Kennedy, Chris Lonsdale, Toni A Hilland, Paul Estabrooks, Tara L Finn, Emma Pollock, Philip J Morgan, David R Lubans, Jordan J Smith, Louisa R Peralta, Ronald C Plotnikoff, Anthony D Okely, Jo Salmon, Narelle Eather, Deborah L Dewar, Sarah Kennedy, Chris Lonsdale, Toni A Hilland, Paul Estabrooks, Tara L Finn, Emma Pollock, Philip J Morgan

Abstract

Introduction: Physical inactivity has been described as a global pandemic. Interventions aimed at developing skills in lifelong physical activities may provide the foundation for an active lifestyle into adulthood. In general, school-based physical activity interventions targeting adolescents have produced modest results and few have been designed to be 'scaled-up' and disseminated. This study aims to: (1) assess the effectiveness of two physical activity promotion programmes (ie, NEAT and ATLAS) that have been modified for scalability; and (2) evaluate the dissemination of these programmes throughout government funded secondary schools.

Methods and analysis: The study will be conducted in two phases. In the first phase (cluster randomised controlled trial), 16 schools will be randomly allocated to the intervention or a usual care control condition. In the second phase, the Reach, Effectiveness, Adoption, Implementation and Maintenance (Re-AIM) framework will be used to guide the design and evaluation of programme dissemination throughout New South Wales (NSW), Australia. In both phases, teachers will be trained to deliver the NEAT and ATLAS programmes, which will include: (1) interactive student seminars; (2) structured physical activity programmes; (3) lunch-time fitness sessions; and (4) web-based smartphone apps. In the cluster RCT, study outcomes will be assessed at baseline, 6 months (primary end point) and 12-months. Muscular fitness will be the primary outcome and secondary outcomes will include: objectively measured body composition, cardiorespiratory fitness, flexibility, resistance training skill competency, physical activity, self-reported recreational screen-time, sleep, sugar-sweetened beverage and junk food snack consumption, self-esteem and well-being.

Ethics and dissemination: This study has received approval from the University of Newcastle (H-2014-0312) and the NSW Department of Education (SERAP: 2012121) human research ethics committees. This study is funded by the Australian Research Council (FT140100399) and the NSW Department of Education.

Trial registration number: ACTRN12615000360516; Pre-results.

Keywords: Adolescents; Behaviour change; Physical activity; Physical fitness; Resistance Training.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Figures

Figure 1
Figure 1
Implementation strategies, intervention components, hypothesised mediators and study outcomes. ATLAS, Active Teen Leaders Avoiding Screen-time; NEAT, Nutrition and Enjoyable Activity for Teens; PA, physical activity.

References

    1. Kohl HW, Craig CL, Lambert EV et al. . The pandemic of physical inactivity: global action for public health. Lancet 2012;380:294–305. 10.1016/S0140-6736(12)60898-8
    1. Morrow JR Jr, Tucker JS, Jackson AW et al. . Meeting physical activity guidelines and health-related fitness in youth. Am J Prev Med 2013;44:439–44. 10.1016/j.amepre.2013.01.008
    1. Jago R, Froberg K, Cooper AR et al. . Three-year changes in fitness and adiposity are independently associated with cardiovascular risk factors among young Danish children. J Phys Act Health 2010;7:37.
    1. Jago R, Drews KL, McMurray RG et al. . BMI change, fitness change and cardiometabolic risk factors among 8th grade youth. Pediatr Exerc Sci 2013;25:52.
    1. Hallal PC, Andersen LB, Bull FC et al. . Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 2012;380:247–57. 10.1016/S0140-6736(12)60646-1
    1. Tomkinson GR, Olds T. Secular changes in pediatric aerobic fitness test performance: the global picture. Karger Publishers, 2007.
    1. Runhaar J, Collard DC, Singh AS et al. . Motor fitness in Dutch youth: differences over a 26-year period (1980–2006). J Sci Med Sport 2010;13:323–8. 10.1016/j.jsams.2009.04.006
    1. Tremblay MS, Shields M, Laviolette M et al. . Fitness of Canadian children and youth: results from the 2007–2009 Canadian Health Measures Survey. Statistics Canada, 2010.
    1. Nishijima T, Kokudo S, Ohsawa S. Changes over the years in physical and motor ability in Japanese youth in 1964–97. Int J Sport Health Sci 2003;1:164–70. 10.5432/ijshs.1.164
    1. Swinburn BA, Sacks G, Hall KD et al. . The global obesity pandemic: shaped by global drivers and local environments. Lancet 2011;378:804–14. 10.1016/S0140-6736(11)60813-1
    1. Blair SN, Kohl HW, Paffenbarger RS et al. . Physical fitness and all-cause mortality: a prospective study of healthy men and women. J Am Med Assoc 1989;262:2395–401. 10.1001/jama.1989.03430170057028
    1. Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics 1998;101(Suppl 2):518–25.
    1. Smith JJ, Eather N, Morgan PJ et al. . The health benefits of muscular fitness for children and adolescents: a systematic review and meta-analysis. Sports Med 2014;44:1209–23. 10.1007/s40279-014-0196-4
    1. US Department of Health and Human Services. Physical activity guidelines for Americans. Washington DC: US Department of Health and Human Services, 2008.
    1. Canadian Society for Exercise Physiology. Canadian physical activity guidelines for youth (12–17 years). Canada: Public Health Agency of Canada, 2011.
    1. Department of Health, Physical Activity, Health Improvement and Protection. Stay active: a report on physical activity from the four home countries’ chief medical officers. London, 2011.
    1. Department of Health. Start Active, Stay Active: A report on physical activity from the four home countries' Chief Medical Officers. Canberra: Department of Health, 2014.
    1. Centers for Disease Control and Prevention. Comprehensive school physical activity programs: a guide for schools. Atlanta, GA: US Department of Health and Human Services, 2013.
    1. Hills AP, Dengel DR, Lubans DR. Supporting public health priorities: recommendations for physical education and physical activity promotion in schools. Prog Cardiovasc Dis 2015;57:368–74. 10.1016/j.pcad.2014.09.010
    1. Green K. Mission impossible? Reflecting upon the relationship between physical education, youth sport and lifelong participation. Sport Educ Soc 2014;19:357–75. 10.1080/13573322.2012.683781
    1. Hulteen RM, Lander NJ, Morgan PJ et al. . Validity and reliability of field-based measures for assessing movement skill competency in lifelong physical activities: a systematic review. Sports Med 2015;45:1443–54. 10.1007/s40279-015-0357-0
    1. Vella SA, Cliff DP, Okely AD. Socio-ecological predictors of participation and dropout in organised sports during childhood. Int J Behav Nutr Phys Act 2014;11:62 10.1186/1479-5868-11-62
    1. Dumith SC, Gigante DP, Domingues MR et al. . Physical activity change during adolescence: a systematic review and a pooled analysis. Int J Epidemiol 2011;40:685–98. 10.1093/ije/dyq272
    1. Corder K, Atkin AJ, Ekelund U et al. . What do adolescents want in order to become more active? BMC Public Health 2013;13:718 10.1186/1471-2458-13-718
    1. Jones H, Millwar P, Buraimo B. Adult participation in sport: analysis of the taking part survey. England: Department for Culture, Media and Sport, 2011.
    1. Australian Bureau of Statistics. Participation in sport and physical recreation, Australia, 2013–2014. Canberra: Commonwealth of Australia, 2015.
    1. US Census Bureau. Statistical abstract of the United States: Arts, recreation and travel. United States, 2012.
    1. Babic MJ, Morgan PJ, Plotnikoff RC et al. . Physical activity and physical self-concept in youth: systematic review and meta-analysis. Sports Med 2014;44:1589–601. 10.1007/s40279-014-0229-z
    1. Bauman AE, Reis RS, Sallis JF et al. . Correlates of physical activity: why are some people physically active and others not? Lancet 2012;380:258–71. 10.1016/S0140-6736(12)60735-1
    1. Metcalf B, Henley W, Wilkin T. Effectiveness of intervention on physical activity of children: systematic review and meta-analysis of controlled trials with objectively measured outcomes (EarlyBird 54). BMJ 2012;345:e5888 10.1136/bmj.e5888
    1. Dobbins M, Husson H, DeCorby K et al. . School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev 2013;(2):CD007651 10.1002/14651858.CD007651.pub2
    1. Yildirim M, van Stralen MM, Chinapaw MJ et al. . For whom and under what circumstances do school-based energy balance behavior interventions work? Systematic review on moderators. Int J Pediatr Obes 2011;6:e46–57. 10.3109/17477166.2011.566440
    1. Morgan PJ, Young MD, Smith JJ et al. . Targeted health behavior interventions promoting physical activity: a conceptual model. Exerc Sport Sci Rev 2016;44:71–80. 10.1249/JES.0000000000000075
    1. Naylor PJ, Nettlefold L, Race D et al. . Implementation of school based physical activity interventions: a systematic review. Prev Med 2015;72:95–115. 10.1016/j.ypmed.2014.12.034
    1. Sutherland R, Campbell E, Lubans DR et al. . ‘Physical Activity 4 Everyone’ school-based intervention to prevent decline in adolescent physical activity levels: 12 month (mid-intervention) report on a cluster randomised trial. Br J Sports Med 2016;50:488–95. 10.1136/bjsports-2014-094523
    1. Lubans DR, Morgan PJ, Dewar D 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. BMC Public Health 2010;10:652–65. 10.1186/1471-2458-10-652
    1. Lubans DR, Morgan PJ, Okely AD 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. Arch Pediatr Adolesc Med 2012;166:821–7. 10.1001/archpediatrics.2012.41
    1. Dewar DL, Morgan PJ, Plotnikoff RC et al. . The Nutrition and Enjoyable Activity for Teen Girls study: a cluster randomized controlled trial. Am J Prev Med 2013;45:313–17. 10.1016/j.amepre.2013.04.014
    1. Smith JJ, Morgan PJ, Plotnikoff RC 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. Contemp Clin Trials 2014;37:106–19. 10.1016/j.cct.2013.11.008
    1. Smith JJ, Morgan PJ, Plotnikoff RC et al. . Smart-phone obesity prevention trial for adolescent boys in low-income communities: the ATLAS RCT. Pediatrics 2014;134:e723–e31. 10.1542/peds.2014-1012
    1. Lubans DR, Smith JJ, Morgan PJ et al. . Mediators of psychological well-being in adolescent boys. J Adolesc Health 2016;58:230–6. 10.1016/j.jadohealth.2015.10.010
    1. Damschroder LJ, Aron DC, Keith RE et al. . Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci 2009;4:50 10.1186/1748-5908-4-50
    1. Lubans DR, Smith JJ, Skinner G et al. . Development and implementation of a smartphone application to promote physical activity and reduce screen-time in adolescent boys. Front Public Health 2014;2:42 10.3389/fpubh.2014.00042
    1. Chan AW, Tetzlaff JM, Altman DG et al. . SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 2013;158:200–7. 10.7326/0003-4819-158-3-201302050-00583
    1. Moher D, Hopewell S, Schulz KF et al. . CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ 2010;340:c869 10.1136/bmj.c869
    1. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health 1999;89:1322–7. 10.2105/AJPH.89.9.1322
    1. Dzewaltowski DA, Estabrooks PA, Glasgow RE. The future of physical activity behavior change research: what is needed to improve translation of research into health promotion practice? Exerc Sport Sci Rev 2004;32:57–63. 10.1097/00003677-200404000-00004
    1. Institute of Medicine. Fitness measures and health outcomes in youth. Washington DC: National Academies Press, 2012.
    1. Ortega FB, Ruiz JR, Castillo MJ et al. . Physical fitness in childhood and adolescence: a powerful marker of health. Int J Obes (Lond) 2008;32:1–11. 10.1038/sj.ijo.0803774
    1. Lubans DR, Morgan PJ, Aguiar EJ et al. . Randomized controlled trial of the Physical Activity Leaders (PALs) program for adolescent boys from disadvantaged secondary schools. Prev Med 2011;52:239–46. 10.1016/j.ypmed.2011.01.009
    1. Moulding NT, Silagy CA, Weller DP. A framework for effective management of change in clinical practice: dissemination and implementation of clinical practice guidelines. Qual Health Care 1999;8:177–83. 10.1136/qshc.8.3.177
    1. Bandura A. Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall, 1986.
    1. Deci E, Ryan R. Instrinsic motivation and self-determination in human behaviour. New York, NY: Plenum, 1985.
    1. Hagger MS, Chatzisarantis NL, Culverhouse T et al. . The processes by which perceived autonomy support in physical education promotes leisure-time physical activity intentions and behavior: a trans-contextual model. J Educ Psychol 2003;95:784 10.1037/0022-0663.95.4.784
    1. B Owen K, Smith J, Lubans DR et al. . Self-determined motivation and physical activity in children and adolescents: a systematic review and meta-analysis. Prev Med 2014;67:270–9. 10.1016/j.ypmed.2014.07.033
    1. Chatzisarantis NL, Hagger MS. Effects of an intervention based on self-determination theory on self-reported leisure-time physical activity participation. Psychol Health 2009;24:29–48. 10.1080/08870440701809533
    1. Beauchamp MR, Barling J, Morton KL. Transformational teaching and adolescent self-determined motivation, self-efficacy, and intentions to engage in leisure time physical activity: a randomised controlled pilot trial. Appl Psychol Health Well Being 2011;3: 127–50. 10.1111/j.1758-0854.2011.01048.x
    1. Cheon SH, Reeve J, Moon IS. Experimentally based, longitudinally designed, teacher-focused intervention to help physical education teachers be more autonomy supportive toward their students. J Sport Exerc Psychol 2012;34:365–96.
    1. Lonsdale C, Rosenkranz RR, Sanders T et al. . A cluster randomized controlled trial of strategies to increase adolescents’ physical activity and motivation in physical education: results of the Motivating Active Learning in Physical Education (MALP) trial. Prev Med 2013;57:696–702. 10.1016/j.ypmed.2013.09.003
    1. Lubans DR, Morgan PJ, Weaver K 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. BMC Public Health 2012;12:427 10.1186/1471-2458-12-427
    1. Lubans DR, Smith JJ, Harries SK et al. . Development, test-retest reliability and construct validity of the resistance training skills battery. J Strength Cond Res 2014;28:1373–80. 10.1519/JSC.0b013e31829b5527
    1. Resnicow K, Baranowski T, Ahluwalia J et al. . Cultural sensitivity in public health: defined and demystified. Ethn Dis 1998;9:10–21.
    1. Lenhart A. Teens, social media and technology overview 2015. Pew Research Center, 2015.
    1. Cooper Institute for Aerobics Research. Fitnessgram: test administration manual. Champaign, IL: Human Kinetics, 1999.
    1. Lubans DR, Morgan P, Callister R et al. . Test–retest reliability of a battery of field-based health-related fitness measures for adolescents. J Sports Sci 2011;29:685–93. 10.1080/02640414.2010.551215
    1. Castro-Piñero J, Ortega FB, Artero EG et al. . Assessing muscular strength in youth: usefulness of standing long jump as a general index of muscular fitness. J Strength Cond Res 2010;24:1810–17. 10.1519/JSC.0b013e3181ddb03d
    1. Ruiz JR, Castro-Piñero J, España-Romero V et al. . Field-based fitness assessment in young people: the ALPHA health-related fitness test battery for children and adolescents. Br J Sports Med 2011;45:518–24. 10.1136/bjsm.2010.075341
    1. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 2012;7:284–94. 10.1111/j.2047-6310.2012.00064.x
    1. Francis K, Feinstein R. A simple height-specific and rate-specific step test for children. South Med J 1991;84:169–74. 10.1097/00007611-199102000-00005
    1. Barnett L, Reynolds J, Faigenbaum AD et al. . Rater agreement of a test battery designed to assess adolescents’ resistance training skill competency. J Sci Med Sport 2015;18:72–6. 10.1016/j.jsams.2013.11.012
    1. Phillips LR, Parfitt G, Rowlands AV. Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport 2013;16:124–8. 10.1016/j.jsams.2012.05.013
    1. Scott JJ, Morgan PJ, Plotnikoff RC et al. . Reliability and validity of a single-item physical activity measure for adolescents. J Paediatr Child Health 2015;51:787–93. 10.1111/jpc.12836
    1. Martínez-Gómez D, Welk GJ, Puertollano MA et al. . Associations of physical activity with muscular fitness in adolescents. Scand J Med Sci Sports 2011;21:310–17. 10.1111/j.1600-0838.2009.01036.x
    1. Hardy LL, Booth ML, Okely AD. The reliability of the adolescent sedentary activity questionnaire (ASAQ). Prev Med 2007;45:71–4. 10.1016/j.ypmed.2007.03.014
    1. Foehr UG. Media multitasking among American youth: prevalence, predictors and pairings. Menlo Park, CA: Henry J. Kaiser Family Foundation, 2006.
    1. Wolfson AR, Carskadon MA. Sleep schedules and daytime functioning in adolescents. Child Dev 1998;69:875–87. 10.1111/j.1467-8624.1998.tb06149.x
    1. Wolfson AR, Carskadon MA, Acebo C et al. . Evidence for the validity of a sleep habits survey for adolescents. Sleep 2003;26:213–17.
    1. Hardy LL, King L, Espinel P et al. . NSW schools Physical Activity and Nutrition Survey (SPANS) 2010: Full Report. Sydney: NSW Ministry of Health, 2010.
    1. Watson JF, Collins CE, Sibbritt DW et al. . Reproducibility and comparative validity of a food frequency questionnaire for Australian children and adolescents. Int J Behav Nutr Phys Act 2009;6:62 10.1186/1479-5868-6-62
    1. Marsh HW, Martin AJ, Jackson S. Introducing a short version of the physical self description questionnaire: new strategies, short-form evaluative criteria, and applications of factor analyses. J Sport Exerc Psychol 2010;32:438.
    1. Diener E, Wirtz D, Tov W et al. . New well-being measures: short scales to assess flourishing and positive and negative feelings. Soc Indic Res 2010;97:143–56. 10.1007/s11205-009-9493-y
    1. Markland D, Tobin V. A modification to the behavioural regulation in exercise questionnaire to include an assessment of amotivation. J Sport Exerc Psychol 2004;26:191–6.
    1. Sánchez-López M, Martínez-Vizcaíno V, García-Hermoso A et al. . Construct validity and test–retest reliability of the International Fitness Scale (IFIS) in Spanish children aged 9–12 years. Scand J Med Sci Sports 2015;25:543–51. 10.1111/sms.12267
    1. Morgan P, Bourke S. Non-specialist teachers’ confidence to teach PE: the nature and influence of personal school experiences in PE. Phys Educ Sport Pedagog 2008;13:1–29. 10.1080/17408980701345550
    1. Morgan PJ, Hansen V. Classroom teachers’ perceptions of the impact of barriers to teaching physical education on the quality of physical education programs. Res Q Exerc Sport 2008;79:506–16. 10.1080/02701367.2008.10599517
    1. Hagger MS, Chatzisarantis N, Barkoukis V et al. . Perceived autonomy support in physical education and leisure-time physical activity: a cross-cultural evaluation of the trans-contextual model. J Educ Psychol Rev 2005;97:376–90. 10.1037/0022-0663.97.3.376
    1. Assmann SF, Pocock SJ, Enos LE et al. . Subgroup analysis and other (mis)uses of baseline data in clinical trials. Lancet 2000;355:1064–9. 10.1016/S0140-6736(00)02039-0

Source: PubMed

3
Abonneren