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Peer-led physical activity intervention for girls aged 13 to 14 years: PLAN-A cluster RCT · References

References

CC BY 4.0 · NIHR Journals Library · approximately 20 min read

  1. Willis K, Tibbitts B, Sebire SJ, Reid T, MacNeill SJ, Sanderson E, et al. Protocol for a cluster randomised controlled trial of a Peer-Led physical Activity iNtervention for Adolescent girls (PLAN-A). BMC Public Health 2019;19:644. 10.1186/s12889-019-7012-x31138171
  2. Jago R, Tibbitts B, Willis K, Sanderson E, Kandiyali R Reid T, et al. Effectiveness and cost-effectiveness of the PLAN-A intervention, a peer led physical activity program for adolescent girls: results of a cluster randomised controlled trial. Int J Behav Nutr Phys Act 2021;18:63. 10.1186/s12966-021-01133-833985532
  3. Janssen I, Leblanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act 2010;7:40. 10.1186/1479-5868-7-4020459784
  4. Biddle SJ, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med 2011;45:886–95. 10.1136/bjsports-2011-09018521807669
  5. Trudeau F, Shephard RJ. Physical education, school physical activity, school sports and academic performance. Int J Behav Nutr Phys Act 2008;5:10. 10.1186/1479-5868-5-1018298849
  6. Baggett CD, Stevens J, McMurray RG, Evenson KR, Murray DM, Catellier DJ, He K. Tracking of physical activity and inactivity in middle school girls. Med Sci Sports Exerc 2008;40:1916–22. 10.1249/MSS.0b013e318180c39018845963
  7. Kelder SH, Perry CL, Klepp KI, Lytle LL. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health 1994;84:1121–6. 10.2105/AJPH.84.7.11218017536
  8. Twisk JWR, Kemper HCG, Mechelen WV. Tracking of activity and fitness and the relationship with cardiovascular disease risk factors. Med Sci Sports Exerc 2000;32:1455–61. 10.1097/00005768-200008000-0001410949012
  9. Department of Health and Social Care. Physical Activity Guidelines: UK Chief Medical Officers’ Report. London: Department of Health and Social Care; 2019.
  10. Steene-Johannessen J, Hansen BH, Dalene KE, Kolle E, Northstone K, Møller NC, et al. Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents. Int J Behav Nutr Phys Act 2020;17:38. 10.1186/s12966-020-00930-x32183834
  11. Department of Health and Social Care, Prime Minister’s Office: 10 Downing Street, Her Majesty’s Treasury and Cabinet Office. Childhood Obesity: A Plan for Action. London: Her Majesty’s Government; 2016.
  12. Borde R, Smith JJ, Sutherland R, Nathan N, Lubans DR. Methodological considerations and impact of school-based interventions on objectively measured physical activity in adolescents: a systematic review and meta-analysis. Obes Rev 2017;18:476–90. 10.1111/obr.1251728187241
  13. Biddle SJ, Braithwaite R, Pearson N. The effectiveness of interventions to increase physical activity among young girls: a meta-analysis. Prev Med 2014;62:119–31. 10.1016/j.ypmed.2014.02.00924530611
  14. Owen MB, Curry WB, Kerner C, Newson L, Fairclough SJ. The effectiveness of school-based physical activity interventions for adolescent girls: a systematic review and meta-analysis. Prev Med 2017;105:237–49. 10.1016/j.ypmed.2017.09.01828964852
  15. Voskuil VR, Frambes DA, Robbins LB. Effect of physical activity interventions for girls on objectively measured outcomes: a systematic review of randomized controlled trials. J Pediatr Health Care 2017;31:75–87. 10.1016/j.pedhc.2016.03.00327130195
  16. Biddle SJH, Whitehead SH, O’Donovan T, Nevill ME. Correlates of participation in physical activity for adolescent girls: a systematic review of recent literature. J Phys Act Health 2005;2:423–34. 10.1123/jpah.2.4.423
  17. Stalsberg R, Pedersen AV. Effects of socioeconomic status on the physical activity in adolescents: a systematic review of the evidence. Scand J Med Sci Sports 2010;20:368–83. 10.1111/j.1600-0838.2009.01047.x20136763
  18. Hankonen N, Heino MT, Kujala E, Hynynen ST, Absetz P, Araújo-Soares V, et al. What explains the socioeconomic status gap in activity? Educational differences in determinants of physical activity and screentime. BMC Public Health 2017;17:144. 10.1186/s12889-016-3880-528143461
  19. Spencer RA, Rehman L, Kirk SF. Understanding gender norms, nutrition, and physical activity in adolescent girls: a scoping review. Int J Behav Nutr Phys Act 2015;12:6. 10.1186/s12966-015-0166-825616739
  20. Slater A, Tiggemann M. ‘Uncool to do sport’: a focus group study of adolescent girls’ reasons for withdrawing from physical activity. Psychol Sport Exerc 2010;11:619–26. 10.1016/j.psychsport.2010.07.006
  21. Knowles AM, Niven A, Fawkner S. ‘Once upon a time I used to be active’. Adopting a narrative approach to understanding physical activity behaviour in adolescent girls. Qual Res Sport Exerc 2013;6:62–76. 10.1080/2159676X.2013.766816
  22. Gillison F, Sebire S, Standage M. What motivates girls to take up exercise during adolescence? Learning from those who succeed. Br J Health Psychol 2012;17:536–50. 10.1111/j.2044-8287.2011.02053.x22107330
  23. Corr M, McSharry J, Murtagh E. Adolescent girl’s perceptions of physical activity: a systematic review of qualitative studies. J Phys Act Health 2018;15:S161.
  24. Fitzgerald A, Fitzgerald N, Aherne C. Do peers matter? A review of peer and/or friends’ influence on physical activity among American adolescents. J Adolesc 2012;35:941–58. 10.1016/j.adolescence.2012.01.00222285398
  25. Smith AL. A case for peer-focused efforts to understand and promote physical activity in young people. Kinesiol Rev 2019;8:32–9. 10.1123/kr.2018-0058
  26. Laird Y, Fawkner S, Niven A. A grounded theory of how social support influences physical activity in adolescent girls. Int J Qual Stud Health Well-being 2018;13:1435099. 10.1080/17482631.2018.143509929405881
  27. Macdonald-Wallis K, Jago R, Sterne JA. Social network analysis of childhood and youth physical activity: a systematic review. Am J Prev Med 2012;43:636–42. 10.1016/j.amepre.2012.08.02123159259
  28. Salway RE, Sebire SJ, Solomon-Moore E, Thompson JL, Jago R. Associations within school-based same-sex friendship networks of children’s physical activity and sedentary behaviours: a cross-sectional social network analysis. Int J Behav Nutr Phys Act 2018;15:18. 10.1186/s12966-018-0653-929467006
  29. MacArthur GJ, Harrison S, Caldwell DM, Hickman M, Campbell R. Peer-led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years: a systematic review and meta-analysis. Addiction 2016;111:391–407. 10.1111/add.1322426518976
  30. Yip C, Gates M, Gates A, Hanning RM. Peer-led nutrition education programs for school-aged youth: a systematic review of the literature. Health Educ Res 2016;31:82–97. 10.1093/her/cyv06326661724
  31. Mellanby AR, Rees JB, Tripp JH. Peer-led and adult-led school health education: a critical review of available comparative research. Health Educ Res 2000;15:533–45. 10.1093/her/15.5.53311184213
  32. Tolli MV. Effectiveness of peer education interventions for HIV prevention, adolescent pregnancy prevention and sexual health promotion for young people: a systematic review of European studies. Health Educ Res 2012;27:904–13. 10.1093/her/cys05522641791
  33. Martin Ginis KA, Nigg CR, Smith AL. Peer-delivered physical activity interventions: an overlooked opportunity for physical activity promotion. Transl Behav Med 2013;3:434–43. 10.1007/s13142-013-0215-224294332
  34. Christensen JH, Elsborg P, Melby PS, Nielsen G, Bentsen P. A scoping review of peer-led physical activity interventions involving young people: theoretical approaches, intervention rationales, and effects. Youth Soc 2020;53:811–40. 10.1177/0044118X20901735
  35. Harden A, Oakley A, Oliver S. Peer-delivered health promotion for young people: a systematic review of different study designs. Health Educ J 2001;60:339–53. 10.1177/001789690106000406
  36. Rogers EM. Diffusion of Innovations. New York, NY: Free Press; 1983.
  37. Campbell R, Starkey F, Holliday J, Audrey S, Bloor M, Parry-Langdon N, et al. An informal school-based peer-led intervention for smoking prevention in adolescence (ASSIST): a cluster randomised trial. Lancet 2008;371:1595–602. 10.1016/S0140-6736(08)60692-318468543
  38. Prestwich A, Sniehotta FF, Whittington C, Dombrowski SU, Rogers L, Michie S. Does theory influence the effectiveness of health behavior interventions? Meta-analysis. Health Psychol 2014;33:465–74. 10.1037/a003285323730717
  39. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol 2000;55:68–78. 10.1037/0003-066x.55.1.6811392867
  40. Deci EL, Ryan RM. The ‘what’ and ‘why’ of goal pursuits: human needs and the self-determination of behavior. Psychol Inq 2000;11:227–68. 10.1207/S15327965PLI1104_01
  41. Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act 2012;9:78. 10.1186/1479-5868-9-7822726453
  42. Sebire SJ, Jago R, Fox KR, Edwards MJ, Thompson JL. Testing a self-determination theory model of children’s physical activity motivation: a cross-sectional study. Int J Behav Nutr Phys Act 2013;10:111. 10.1186/1479-5868-10-11124067078
  43. Fortier MS, Duda JL, Guerin E, Teixeira PJ. Promoting physical activity: development and testing of self-determination theory-based interventions. Int J Behav Nutr Phys Act 2012;9:20. 10.1186/1479-5868-9-2022385751
  44. Sebire SJ, Edwards MJ, Fox KR, Davies B, Banfield K, Wood L, et al. Delivery and receipt of a self-determination theory-based extra-curricular physical activity intervention: exploring theoretical fidelity in action 3:30. J Sport Exerc Psychol 2016;38:381–95. 10.1123/jsep.2015-021727736294
  45. Gillison FB, Rouse P, Standage M, Sebire SJ, Ryan RM. A meta-analysis of techniques to promote motivation for health behaviour change from a self-determination theory perspective. Health Psychol Rev 2019;13:110–30. 10.1080/17437199.2018.153407130295176
  46. Standage M, Duda JL, Ntoumanis N. A test of self-determination theory in school physical education. Br J Educ Psychol 2005;75:411–33. 10.1348/000709904X2235916238874
  47. Sebire SJ, Standage M, Vansteenkiste M. Predicting objectively assessed physical activity from the content and regulation of exercise goals: evidence for a mediational model. J Sport Exerc Psychol 2011;33:175–97. 10.1123/jsep.33.2.17521558579
  48. Emm-Collison LG, Jago R, Salway R, Thompson JL, Sebire SJ. Longitudinal associations between parents’ motivations to exercise and their moderate-to-vigorous physical activity. Psychol Sport Exerc 2019;43:343–9. 10.1016/j.psychsport.2019.04.00731417335
  49. Emm-Collison LG, Sebire SJ, Salway R, Thompson JL, Jago R. Multidimensional motivation for exercise: a latent profile and transition analysis. Psychol Sport Exerc 2020;47:101619. 10.1016/j.psychsport.2019.10161932127781
  50. Sebire SJ, Standage M, Vansteenkiste M. Examining intrinsic versus extrinsic exercise goals: cognitive, affective, and behavioral outcomes. J Sport Exerc Psychol 2009;31:189–210. 10.1123/jsep.31.2.18919454771
  51. Sebire SJ, Jago R, Banfield K, Edwards MJ, Campbell R, Kipping R, et al. Results of a feasibility cluster randomised controlled trial of a peer-led school-based intervention to increase the physical activity of adolescent girls (PLAN-A). Int J Behav Nutr Phys Act 2018;15:50. 10.1186/s12966-018-0682-429880048
  52. Sebire S, Banfield K, Campbell R, Edjwards MJ, Kipping R, Kadir B, et al. A peer-led physical activity intervention in schools for adolescent girls: a feasibility RCT. Public Health Res 2019;7(16). 10.3310/phr07160
  53. Sebire SJ, Edwards MJ, Campbell R, Jago R, Kipping RR, Banfield K, et al. Protocol for a feasibility randomised controlled trial of a peer-led school-based intervention to increase the physical activity of adolescent girls (PLAN-A). Pilot Feasibility Stud 2016;2:68. 10.1186/s40814-016-0110-y27965883
  54. Sutherland R, Campbell E, Lubans DR, Morgan PJ, Okely AD, Nathan N, 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-2014-09452326359346
  55. Sebire SJ, Banfield K, Jago R, Edwards MJ, Campbell R, Kipping R, et al. A process evaluation of the PLAN-A intervention (Peer-Led physical Activity iNtervention for Adolescent girls). BMC Public Health 2019;19:1203. 10.1186/s12889-019-7545-z31477088
  56. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ 2008;337:a1655. 10.1136/bmj.a165518824488
  57. Marsh HW. Self Description Questionnaire (SDQ) II: A Theoretical and Empirical Basis for the Measurement of Multiple Dimensions of Adolescent Self-Concept. A Test Manual and Research Monograph. Penrith, NSW: Faculty of Education, University of Western Sydney; 1992.
  58. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. BMJ 2016;355:i5239. 10.1136/bmj.i523927777223
  59. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care 2007;19:349–57. 10.1093/intqhc/mzm04217872937
  60. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ 2014;348:g1687. 10.1136/bmj.g168724609605
  61. Husereau D, Drummond M, Petrou S, Carswell C, Moher D, Greenberg D, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) – explanation and elaboration: a report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force. Value Health 2013;16:231–50. 10.1016/j.jval.2013.02.00223538175
  62. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap) – a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. 10.1016/j.jbi.2008.08.01018929686
  63. Boyce W, Torsheim T, Currie C, Zambon A. The family affluence scale as a measure of national wealth: validation of an adolescent self-report measure. Soc Indic Res 2006;78:473–87. 10.1007/s11205-005-1607-6
  64. Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M. Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med 2008;66:1429–36. 10.1016/j.socscimed.2007.11.02418179852
  65. Welk GJ, Schaben JA, Morrow JR. Reliability of accelerometry-based activity monitors: a generalizability study. Med Sci Sports Exerc 2004;36:1637–45.15354049
  66. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci 2008;26:1557–65. 10.1080/0264041080233419618949660
  67. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc 2011;43:1360–8. 10.1249/MSS.0b013e318206476e21131873
  68. Markland D, Tobin V. A modification of the Behavioral Regulation in Exercise Questionnaire to include an assessment of amotivation. J Sport Exerc Psychol 2004;26:191–6. 10.1123/jsep.26.2.191
  69. McAuley E, Duncan T, Tammen VV. Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. Res Q Exerc Sport 1989;60:48–58. 10.1080/02701367.1989.106074132489825
  70. Bartholomew JB, Loukas A, Jowers EM, Allua S. Validation of the Physical Activity Self-Efficacy Scale: testing measurement invariance between Hispanic and Caucasian children. J Phys Act Health 2006;3:70–8. 10.1123/jpah.3.1.70
  71. Cazuza de Farias J Jr, da Silva Lopes A, Siequeira Reis R, do Nasciemento JV, Borgatto AF, Hallall PC. Development and validation of a questionnaire measuring factors associated with physical activity in adolescents. Braz J Mother Infant Health 2011;11:301–12. 10.1590/S1519-38292011000300011
  72. Ling J, Robbins LB, Resnicow K, Bakhoya M. Social support and peer norms scales for physical activity in adolescents. Am J Health Behav 2014;38:881–9. 10.5993/AJHB.38.6.1025207514
  73. Harvey J, Emm-Collison L, Sebire S. ‘I feel proper self-conscious all the time’: a qualitative study of adolescent girls’ views of menstruation and physical activity. [Version 1; peer review: 1 approved with reservations, 1 not approved.] Wellcome Open Res 2020;5:279. 10.12688/wellcomeopenres.16391.1
  74. Macneill SJ, Jago R. PLAN A: A Cluster Randomised Trial of a Peer-Led Physical Activity INtervention for Adolescent Girls. Bristol: University of Bristol; 2020. URL: https://research-information.bris.ac.uk/en/publications/plan-a-a-cluster-randomised-trial-of-a-peer-led-physical-activity (accessed 13 January 2022).
  75. Jago R, Tibbitts B, Porter A, Sanderson E, Bird E, Powell JE, et al. A revised teaching assistant-led extracurricular physical activity programme for 8- to 10-year-olds: the Action 3:30R feasibility cluster RCT. Public Health Res 2019;7(19). 10.3310/phr07190
  76. Jones NR, Jones A, van Sluijs EM, Panter J, Harrison F, Griffin SJ. School environments and physical activity: the development and testing of an audit tool. Health Place 2010;16:776–83. 10.1016/j.healthplace.2010.04.00220435506
  77. Lounsbery MA, McKenzie TL, Morrow JR Jr, Holt KA, Budnar RG. School physical activity policy assessment. J Phys Act Health 2013;10:496–503. 10.1123/jpah.10.4.49622975809
  78. Jago R, Tibbitts B, Sanderson E, Bird EL, Porter A, Metcalfe C, et al. Action 3:30R: Results of a cluster randomised feasibility study of a revised teaching assistant-led extracurricular physical activity intervention for 8 to 10 year olds. Int J Environ Res Public Health 2019;16:E131. 10.3390/ijerph1601013130621326
  79. Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol 2013;13:117. 10.1186/1471-2288-13-11724047204
  80. Innerd AL, Azevedo LB, Batterham AM. The effect of a curriculum-based physical activity intervention on accelerometer-assessed physical activity in schoolchildren: a non-randomised mixed methods controlled before-and-after study. PLOS ONE 2019;14:e0225997. 10.1371/journal.pone.022599731805138
  81. National Association of Schoolmasters Union of Women Teachers: The Teachers’ Union. Directed Time (England). 2021. URL: www.nasuwt.org.uk/advice/conditions-of-service/directed-time/directed-time-england.html (accessed 22 May 2020).
  82. TES Global Ltd. Salary Scales Teacher. 2020. URL: www.tes.com/sites/default/files/main_teacherpayscale_01b.pdf (accessed 22 May 2020).
  83. EuroQol Research Foundation. EQ-5D-Y (Youth): About. 2009. URL: https://euroqol.org/eq-5d-instruments/eq-5d-y-about/ (accessed 22 May 2020).
  84. Wille N, Badia X, Bonsel G, Burstrom K, Cavrini G, Devlin N, et al. Development of the EQ-5D-Y: a child-friendly version of the EQ-5D. Quality Life Res 2010;19:875–86. 10.1007/s11136-010-9648-y
  85. Stevens K. Valuation of the Child Health Utility 9D Index. PharmacoEconomics 2012;30:729–47. 10.2165/11599120-000000000-0000022788262
  86. Ratcliffe J, Huynh E, Chen G, Stevens K, Swait J, Brazier J, et al. Valuing the Child Health Utility 9D: using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm. Soc Sci Med 2016;157:48–59. 10.1016/j.socscimed.2016.03.04227060541
  87. UNISON. National Joint Council for Local Government Services. 2018. URL: www.unison.org.uk/content/uploads/2018/08/New-NJC-Pay-Spine-2018-2019.pdf (accessed 22 May 2020).
  88. Child Public Health. KIDSCREEN – Health Related Quality of Life Questionnaire for Children and Young People and Their Parents. 2011. URL: www.kidscreen.org/english/ (accessed 22 May 2020).
  89. Chen G, Stevens K, Rowen D, Ratcliffe J. From KIDSCREEN-10 to CHU9D: creating a unique mapping algorithm for application in economic evaluation. Health Qual Life Outcomes 2014;12:134. 10.1186/s12955-014-0134-z25169558
  90. Harrington DM, Davies MJ, Bodicoat D, Charles JM, Chudasama YV, Gorely T, et al. A school-based intervention (‘Girls Active’) to increase physical activity levels among 11- to 14-year-old girls: cluster RCT. Public Health Res 2019;7(5). 10.3310/phr07050
  91. Corder K, Sharp SJ, Jong ST, Foubister C, Brown HE, Wells EK, et al. Effectiveness and cost-effectiveness of the GoActive intervention to increase physical activity among UK adolescents: a cluster randomised controlled trial. PLOS Med 2020;17:e1003210. 10.1371/journal.pmed.100321032701954
  92. Fenwick E, Briggs A. Cost-effectiveness acceptability curves in the dock: case not proven? Med Decis Making 2007;27:93–5. 10.1177/0272989X0730007117409358
  93. Mauskopf JA, Paul JE, Grant DM, Stergachis A. The role of cost-consequence analysis in healthcare decision-making. PharmacoEconomics 1998;13:277–88. 10.2165/00019053-199813030-0000210178653
  94. Howie EK, Straker LM. Rates of attrition, non-compliance and missingness in randomized controlled trials of child physical activity interventions using accelerometers: a brief methodological review. J Sci Med Sport 2016;19:830–6. 10.1016/j.jsams.2015.12.52026874648
  95. Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W, et al. KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoecon Outcomes Res 2005;5:353–64. 10.1586/14737167.5.3.35319807604
  96. Kandiyali RHW, Jago R. PLAN-A: A Cluster Randomised Trial of a Peer-led Physical Activity INtervention for Adolescent Girls: Health Economic Analysis Plan. Version 1. Bristol: University of Bristol; 2020. URL: https://research-information.bris.ac.uk/en/publications/plan-a-a-cluster-randomised-trial-of-a-peer-led-physical-activity-2 (accessed 13 January 2022).
  97. European Parliament and Council of the European Union. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation). OJ L 119, 4.5.2016, p. 1.
  98. National Statistics. Health Survey for England 2015 Physical Activity in Children. National Statistics; 2016.
  99. Aadland E, Nilsen AKO, Ylvisåker E, Johannessen K, Anderssen SA. Reproducibility of objectively measured physical activity: reconsideration needed. J Sports Sci 2020;38:1132–9. 10.1080/02640414.2020.174305432202469
  100. Baranowski T, Mâsse LC, Ragan B, Welk G. How many days was that? We’re still not sure, but we’re asking the question better! Med Sci Sports Exerc 2008;40(Suppl. 7):S544–9. 10.1249/MSS.0b013e31817c665118562972
  101. Parkin S, McKeganey N. The rise and rise of peer education approaches. Drug-Educ Prev Polic 2000;7:293–310. 10.1080/09687630050109961
  102. Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, van Mechelen W, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet 2016;388:1311–24. 10.1016/S0140-6736(16)30383-X27475266
  103. Jago R, Edwards MJ, Sebire SJ, Tomkinson K, Bird EL, Banfield K, et al. Effect and cost of an after-school dance programme on the physical activity of 11-12 year old girls: The Bristol Girls Dance Project, a school-based cluster randomised controlled trial. Int J Behav Nutr Phys Act 2015;12:128. 10.1186/s12966-015-0289-y26437720
  104. Charles JM, Harrington DM, Davies MJ, Edwardson CL, Gorely T, Bodicoat DH, et al. Micro-costing and a cost-consequence analysis of the ‘Girls Active’ programme: a cluster randomised controlled trial. PLOS ONE 2019;14:e0221276. 10.1371/journal.pone.022127631419257
  105. Sutherland R, Reeves P, Campbell E, Lubans DR, Morgan PJ, Nathan N, et al. Cost effectiveness of a multi-component school-based physical activity intervention targeting adolescents: the ‘Physical Activity 4 Everyone’ cluster randomized trial. Int J Behav Nutr Phys Act 2016;13:94. 10.1186/s12966-016-0418-227549382
  106. Rodriguez-Ayllon M, Cadenas-Sánchez C, Estévez-López F, Muñoz NE, Mora-Gonzalez J, Migueles JH, et al. Role of physical activity and sedentary behavior in the mental health of preschoolers, children and adolescents: a systematic review and meta-analysis. Sports Med 2019;49:1383–410. 10.1007/s40279-019-01099-530993594
  107. Canaway A, Frew E, Lancashire E, Pallan M, Hemming K, Adab P. Economic evaluation of a childhood obesity prevention programme for children: results from the WAVES cluster randomised controlled trial conducted in schools. PLOS ONE 2019;14:e0219500. 10.1371/journal.pone.021950031291330
  108. Eminson K, Canaway A, Adab P, Lancashire E, Pallan M, Frew E. How does age affect the relationship between weight and health utility during the middle years of childhood? Qual Life Res 2018;27:1455–62. 10.1007/s11136-018-1790-y29404925
  109. Breheny K, Passmore S, Adab P, Martin J, Hemming K, Lancashire ER, Frew E. Effectiveness and cost-effectiveness of The Daily Mile on childhood weight outcomes and wellbeing: a cluster randomised controlled trial. Int J Obes 2020;44:812–22. 10.1038/s41366-019-0511-0
  110. Wyatt K, Lloyd J, Creanor S, Green C, Dean SG, Hillsdon M, et al. Cluster randomised controlled trial and economic and process evaluation to determine the effectiveness and cost-effectiveness of a novel intervention [Healthy Lifestyles Programme (HeLP)] to prevent obesity in school children. Public Health Res 2018;6(1). 10.3310/phr06010
  111. Vijay SGc, Suhrcke M, Atkin AJ, van Sluijs E, Turner D. Cost-effectiveness of physical activity interventions in adolescents: model development and illustration using two exemplar interventions. BMJ Open 2019;9:e027566. 10.1136/bmjopen-2018-027566
  112. Harrington DM, Davies MJ, Bodicoat DH, Charles JM, Chudasama YV, Gorely T, et al. Effectiveness of the ‘Girls Active’ school-based physical activity programme: a cluster randomised controlled trial. Int J Behav Nutr Phys Act 2018;15:40. 10.1186/s12966-018-0664-629695250
  113. Dumith SC, Gigante DP, Domingues MR, Kohl HW. Physical activity change during adolescence: a systematic review and a pooled analysis. Int J Epidemiol 2011;40:685–98. 10.1093/ije/dyq27221245072
  114. Escriva-Boulley G, Tessier D, Ntoumanis N, Sarrazin P. Need-supportive professional development in elementary school physical education: effects of a cluster-randomized control trial on teachers’ motivating style and student physical activity. Sport Exerc Perform 2018;7:218–34. 10.1037/spy0000119
  115. Ha AS, Lonsdale C, Ng JYY, Lubans DR. A school-based rope skipping program for adolescents: results of a randomized trial. Prev Med 2017;101:188–94. 10.1016/j.ypmed.2017.06.00128601622
  116. Owen KB, Smith J, Lubans DR, Ng JY, Lonsdale C. 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.2014.07.03325073077
  117. Ha AS, Lonsdale C, Lubans DR, Ng JYY. Increasing students’ activity in physical education: results of the self-determined exercise and learning for fitness trial. Med Sci Sports Exerc 2020;52:696–704. 10.1249/MSS.000000000000217231652232
  118. Robbins LB, Wen F, Ling J. Mediators of physical activity behavior change in the ‘Girls on the Move’ intervention. Nurs Res 2019;68:257–66. 10.1097/NNR.000000000000035930882562
  119. Demetriou Y, Bachner J. A school-based intervention based on self-determination theory to promote girls’ physical activity: study protocol of the CReActivity cluster randomised controlled trial. BMC Public Health 2019;19:519. 10.1186/s12889-019-6817-y31060540
  120. Lonsdale C, Lester A, Owen KB, White RL, Peralta L, Kirwan M, et al. An internet-supported school physical activity intervention in low socioeconomic status communities: results from the Activity and Motivation in Physical Education (AMPED) cluster randomised controlled trial. Br J Sports Med 2019;53:341–7. 10.1136/bjsports-2017-09790428993404
  121. Lubans DR, Lonsdale C, Cohen K, Eather N, Beauchamp MR, Morgan PJ, et al. Framework for the design and delivery of organized physical activity sessions for children and adolescents: rationale and description of the ‘SAAFE’ teaching principles. Int J Behav Nutr Phys Act 2017;14:24. 10.1186/s12966-017-0479-x28231794
  122. Ntoumanis N, Ng JYY, Prestwich A, Quested E, Hancox JE, Thogersen-Ntoumani C, et al. A meta-analysis of self-determination theory-informed intervention studies in the health domain: effects on motivation, health behavior, physical, and psychological health. Health Psychol Rev 2020;15:214–44. 10.1080/17437199.2020.171852931983293
  123. Jago R, Sebire SJ, Cooper AR, Haase AM, Powell J, Davis L, et al. Bristol girls dance project feasibility trial: outcome and process evaluation results. Int J Behav Nutr Phys Act 2012;9:83. 10.1186/1479-5868-9-8322747608
  124. Carlin A, Murphy MH, Nevill A, Gallagher AM. Effects of a peer-led Walking In ScHools intervention (the WISH study) on physical activity levels of adolescent girls: a cluster randomised pilot study. Trials 2018;19:31. 10.1186/s13063-017-2415-429325578
  125. Corder K, Sharp SJ, Foubister C, Brown HE, Jong ST, Wells EK, et al. Effectiveness of the GoActive intervention to increase physical activity in adolescents aged 13-14 years: a cluster randomised controlled trial. Lancet 2019;394:S34. 10.1016/S0140-6736(19)32831-4
  126. Owen MB, Kerner C, Taylor SL, Noonan RJ, Newson L, Kosteli MC, et al. The feasibility of a novel school peer-led mentoring model to improve the physical activity levels and sedentary time of adolescent girls: the Girls Peer Activity (G-PACT) Project. Children 2018;5:E67. 10.3390/children506006729857554
  127. Salway R, Sebire SJ, Tibbitts B, Sanderson E, Kandiyali R, Willis K, et al. Physical activity and psychosocial characteristics of the peer supporters in the PLAN-A Study – a latent class analysis. Int J Environ Res Public Health 2020;17:E7980. 10.3390/ijerph1721798033143009
  128. van Woudenberg TJ, Bevelander KE, Burk WJ, Smit CR, Buijs L, Buijzen M. A randomized controlled trial testing a social network intervention to promote physical activity among adolescents. BMC Public Health 2018;18:542. 10.1186/s12889-018-5451-429685112
  129. Borgatti SP. Identifying sets of key players in a social network. Comput Math Organ Theor 2006;12:21–34. 10.1007/s10588-006-7084-x
  130. van Woudenberg TJ, Simoski B, Fernandes de Mello Araújo E, Bevelander KE, Burk WJ, Smit CR, et al. Identifying influence agents that promote physical activity through the simulation of social network interventions: agent-based modeling study. J Med Internet Res 2019;21:e12914. 10.2196/1291431381504
  131. Zingora T, Stark TH, Flache A. Who is most influential? Adolescents’ intergroup attitudes and peer influence within a social network. Group Process Interg 2020;23:684–709. 10.1177/1368430219869460
  132. Dobbie F, Purves R, McKell J, Dougall N, Campbell R, White J, et al. Implementation of a peer-led school based smoking prevention programme: a mixed methods process evaluation. BMC Public Health 2019;19:742. 10.1186/s12889-019-7112-731196124
  133. Stone AA, Shiffman S. Ecological momentary assessment (EMA) in behavorial medicine. Ann Behav Med 1994;16:199–202. 10.1093/abm/16.3.199
  134. Degroote L, DeSmet A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Content validity and methodological considerations in ecological momentary assessment studies on physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act 2020;17:35. 10.1186/s12966-020-00932-932151251
  135. Liao Y, Skelton K, Dunton G, Bruening M. A systematic review of methods and procedures used in ecological momentary assessments of diet and physical activity research in youth: an adapted STROBE Checklist for Reporting EMA Studies (CREMAS). J Med Internet Res 2016;18:e151. 10.2196/jmir.495427328833
  136. May M, Junghaenel DU, Ono M, Stone AA, Schneider S. Ecological momentary assessment methodology in chronic pain research: a systematic review. J Pain 2018;19:699–716. 10.1016/j.jpain.2018.01.00629371113
  137. LeBlanc AG, Janssen I. Difference between self-reported and accelerometer measured moderate-to-vigorous physical activity in youth. Pediatr Exerc Sci 2010;22:523–34. 10.1123/pes.22.4.52321242602
  138. Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc 2014;46:99–106. 10.1249/MSS.0b013e3182a0595f23793232
  139. Pedišić Ž, Bauman A. Accelerometer-based measures in physical activity surveillance: current practices and issues. Br J Sports Med 2015;49:219–23. 10.1136/bjsports-2013-09340725370153
  140. Quante M, Kaplan ER, Rueschman M, Cailler M, Buxton OM, Redline S. Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep. Sleep Health 2015;1:275–84. 10.1016/j.sleh.2015.09.00229073403
  141. Pew Research Center. Teens, Social Media & Technology Overview 2015. 2015. URL: www.pewresearch.org/internet/2015/04/09/teens-social-media-technology-2015/ (accessed 20 November 2020).
  142. Hirvonen MK, Purcell C, Elliott L, Bailey JV, Simpson SA, McDaid L, et al. Peer-to-peer sharing of sexual health social media messages in a school-based intervention: opportunities and challenges identified in the STASH feasibility trial. J Med Internet Res 2021;23:e20898. 10.2196/2089833591287
  143. Beets MW, Weaver RG, Ioannidis JPA, Geraci M, Brazendale K, Decker L, et al. Identification and evaluation of risk of generalizability biases in pilot versus efficacy/effectiveness trials: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2020;17:19. 10.1186/s12966-020-0918-y32046735
  144. Estabrooks PA, Gyurcsik NC. Evaluating the impact of behavioral interventions that target physical activity: issues of generalizability and public health. Psychol Sport Exerc 2003;4:41–55. 10.1016/S1469-0292(02)00016-X
  145. Rutter H, Savona N, Glonti K, Bibby J, Cummins S, Finegood DT, et al. The need for a complex systems model of evidence for public health. Lancet 2017;390:2602–4. 10.1016/S0140-6736(17)31267-928622953
  146. Daly-Smith A, Quarmby T, Archbold VSJ, Corrigan N, Wilson D, Resaland GK, et al. Using a multi-stakeholder experience-based design process to co-develop the Creating Active Schools Framework. Int J Behav Nutr Phys Act 2020;17:13. 10.1186/s12966-020-0917-z32028968
  147. Adams J, Mytton O, White M, Monsivais P. Why are some population interventions for diet and obesity more equitable and effective than others? The role of individual agency. PLOS Med 2016;13:e1001990. 10.1371/journal.pmed.100199027046234
  148. Lewallen TC, Hunt H, Potts-Datema W, Zaza S, Giles W. The whole school, whole community, whole child model: a new approach for improving educational attainment and healthy development for students. J Sch Health 2015;85:729–39. 10.1111/josh.1231026440815
  149. Campbell MK, Piaggio G, Elbourne DR, Altman DG. CONSORT 2010 statement: extension to cluster randomised trials. BMJ 2012;345:e5661. 10.1136/bmj.e566122951546
← DiscussionAcknowledgements →

Attribution. Russell Jago; Byron Tibbitts; Kathryn Willis; Emily Sanderson; Rebecca Kandiyali; Tom Reid et al. (2022). Peer-led physical activity intervention for girls aged 13 to 14 years: PLAN-A cluster RCT. NIHR Journals Library. Copyright © 2022 Jago et al. This work was produced by Jago et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This is an Open Access publication distributed under the terms of the Creative Commons Attribution CC BY 4.0 licence, which permits unrestricted use, distribution, reproduction and adaption in any medium and for any purpose provided that it is properly attributed. See: https://creativecommons.org/licenses/by/4.0/. For attribution the title, original author(s), the publication source – NIHR Journals Library, and the DOI of the publication must be cited. Licensed under CC BY 4.0. NCBI Bookshelf NBK579261. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.

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