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Castilho Dos Santos G, de Souza Silva TM, da Silva JM, de Oliveira Barbosa R, Kennedy SG, Lubans DR, Stabelini Neto A. Impact of the ActTeens Program on physical activity and fitness in adolescents: a cluster randomized controlled trial. BMC Pediatr 2024; 24:447. [PMID: 38992690 PMCID: PMC11238359 DOI: 10.1186/s12887-024-04922-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 07/01/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND The aim of our study was to evaluate the impact of the ActTeens Program on physical activity and health-related physical fitness among adolescents in Brazil. METHODS The "ActTeens Program" was conducted using a cluster-randomized controlled trial during 24-week school term. The sample consisted of 317 adolescents (52.7% girls; 13.61 ± 0.70 years) from four secondary schools that were randomly assigned to intervention group (N = 169) or control group (N = 148). This school-based physical activity (PA) intervention involved two components: (i) structured physical activity sessions delivered within physical education (PE) and (ii) healthy lifestyle guidance (mHealth). The primary outcome was PA assessed using Physical Activity Questionnaire for Adolescents (PAQ-A); secondary outcomes included muscular (MF) and cardiorespiratory fitness (CRF) assessed using 90-push-up, handgrip dynamometer, standing long jump, and 20 m PACER shuttle run test. Assessments were conducted at baseline, 12- and 24-week. Intervention effects were assessed using linear mixed models (LMM). RESULTS For the primary outcome (PA), no significant group-by-time effects were observed for physical education based-PA (0.3 score; 95%CI: -0.1; 0.6; and - 0.01 score; 95%CI: -0.03; 0.03, at 12-wk and 24-wk respectively) and total PA (-0.02 score; 95%CI: -0.2; 0.2; and - 0.01score; 95%CI: -0.2; 0.2, at 12 and 24 weeks respectively). After 24 weeks, we observed a significant group by time effects for lower body muscular fitness (12.9 cm; 95%CI, 3.2 to 22.2). CONCLUSION The implementation of aerobic and muscle-strengthening exercises used in the ActTeens intervention did not lead to improvements in physical activity. The intervention resulted in improved lower body muscular fitness, however, we found no significant differences for upper body muscular and cardiorespiratory fitness.
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Affiliation(s)
| | | | - Jadson Marcio da Silva
- Post-Graduate Program in Physical Education Associate UEM/UEL, Universidade Estadual de Londrina, Londrina, PR, Brazil
| | | | - Sarah G Kennedy
- Health and Physical Education, School of Health Sciences, Western Sydney University, Kingswood, NSW, Australia
| | - David R Lubans
- Centre for Active Living and Learning, College of Human and Social Futures, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Antonio Stabelini Neto
- Health Science Center, Universidade Estadual do Norte do Paraná, Jacarezinho, PR, Brazil.
- Post-Graduate Program in Physical Education Associate UEM/UEL, Universidade Estadual de Londrina, Londrina, PR, Brazil.
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Spiga F, Tomlinson E, Davies AL, Moore TH, Dawson S, Breheny K, Savović J, Hodder RK, Wolfenden L, Higgins JP, Summerbell CD. Interventions to prevent obesity in children aged 12 to 18 years old. Cochrane Database Syst Rev 2024; 5:CD015330. [PMID: 38763518 PMCID: PMC11102824 DOI: 10.1002/14651858.cd015330.pub2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
BACKGROUND Prevention of obesity in adolescents is an international public health priority. The prevalence of overweight and obesity is over 25% in North and South America, Australia, most of Europe, and the Gulf region. Interventions that aim to prevent obesity involve strategies that promote healthy diets or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective, and numerous new studies have been published over the last five years since the previous version of this Cochrane Review. OBJECTIVES To assess the effects of interventions that aim to prevent obesity in adolescents by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was February 2023. SELECTION CRITERIA Randomised controlled trials in adolescents (mean age 12 years and above but less than 19 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our outcomes were BMI, zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS This review includes 74 studies (83,407 participants); 54 studies (46,358 participants) were included in meta-analyses. Sixty studies were based in high-income countries. The main setting for intervention delivery was schools (57 studies), followed by home (nine studies), the community (five studies) and a primary care setting (three studies). Fifty-one interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over 28 months. Sixty-two studies declared non-industry funding; five were funded in part by industry. Dietary interventions versus control The evidence is very uncertain about the effects of dietary interventions on body mass index (BMI) at short-term follow-up (mean difference (MD) -0.18, 95% confidence interval (CI) -0.41 to 0.06; 3 studies, 605 participants), medium-term follow-up (MD -0.65, 95% CI -1.18 to -0.11; 3 studies, 900 participants), and standardised BMI (zBMI) at long-term follow-up (MD -0.14, 95% CI -0.38 to 0.10; 2 studies, 1089 participants); all very low-certainty evidence. Compared with control, dietary interventions may have little to no effect on BMI at long-term follow-up (MD -0.30, 95% CI -1.67 to 1.07; 1 study, 44 participants); zBMI at short-term (MD -0.06, 95% CI -0.12 to 0.01; 5 studies, 3154 participants); and zBMI at medium-term (MD 0.02, 95% CI -0.17 to 0.21; 1 study, 112 participants) follow-up; all low-certainty evidence. Dietary interventions may have little to no effect on serious adverse events (two studies, 377 participants; low-certainty evidence). Activity interventions versus control Compared with control, activity interventions do not reduce BMI at short-term follow-up (MD -0.64, 95% CI -1.86 to 0.58; 6 studies, 1780 participants; low-certainty evidence) and probably do not reduce zBMI at medium- (MD 0, 95% CI -0.04 to 0.05; 6 studies, 5335 participants) or long-term (MD -0.05, 95% CI -0.12 to 0.02; 1 study, 985 participants) follow-up; both moderate-certainty evidence. Activity interventions do not reduce zBMI at short-term follow-up (MD 0.02, 95% CI -0.01 to 0.05; 7 studies, 4718 participants; high-certainty evidence), but may reduce BMI slightly at medium-term (MD -0.32, 95% CI -0.53 to -0.11; 3 studies, 2143 participants) and long-term (MD -0.28, 95% CI -0.51 to -0.05; 1 study, 985 participants) follow-up; both low-certainty evidence. Seven studies (5428 participants; low-certainty evidence) reported data on serious adverse events: two reported injuries relating to the exercise component of the intervention and five reported no effect of intervention on reported serious adverse events. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, do not reduce BMI at short-term follow-up (MD 0.03, 95% CI -0.07 to 0.13; 11 studies, 3429 participants; high-certainty evidence), and probably do not reduce BMI at medium-term (MD 0.01, 95% CI -0.09 to 0.11; 8 studies, 5612 participants; moderate-certainty evidence) or long-term (MD 0.06, 95% CI -0.04 to 0.16; 6 studies, 8736 participants; moderate-certainty evidence) follow-up. They may have little to no effect on zBMI in the short term, but the evidence is very uncertain (MD -0.09, 95% CI -0.2 to 0.02; 3 studies, 515 participants; very low-certainty evidence), and they may not reduce zBMI at medium-term (MD -0.05, 95% CI -0.1 to 0.01; 6 studies, 3511 participants; low-certainty evidence) or long-term (MD -0.02, 95% CI -0.05 to 0.01; 7 studies, 8430 participants; low-certainty evidence) follow-up. Four studies (2394 participants) reported data on serious adverse events (very low-certainty evidence): one reported an increase in weight concern in a few adolescents and three reported no effect. AUTHORS' CONCLUSIONS The evidence demonstrates that dietary interventions may have little to no effect on obesity in adolescents. There is low-certainty evidence that activity interventions may have a small beneficial effect on BMI at medium- and long-term follow-up. Diet plus activity interventions may result in little to no difference. Importantly, this updated review also suggests that interventions to prevent obesity in this age group may result in little to no difference in serious adverse effects. Limitations of the evidence include inconsistent results across studies, lack of methodological rigour in some studies and small sample sizes. Further research is justified to investigate the effects of diet and activity interventions to prevent childhood obesity in community settings, and in young people with disabilities, since very few ongoing studies are likely to address these. Further randomised trials to address the remaining uncertainty about the effects of diet, activity interventions, or both, to prevent childhood obesity in schools (ideally with zBMI as the measured outcome) would need to have larger samples.
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Affiliation(s)
- Francesca Spiga
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Annabel L Davies
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Theresa Hm Moore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jelena Savović
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Carolyn D Summerbell
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
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Prince SA, Dempsey PC, Reed JL, Rubin L, Saunders TJ, Ta J, Tomkinson GR, Merucci K, Lang JJ. The Effect of Sedentary Behaviour on Cardiorespiratory Fitness: A Systematic Review and Meta-Analysis. Sports Med 2024; 54:997-1013. [PMID: 38225444 PMCID: PMC11052788 DOI: 10.1007/s40279-023-01986-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) is an important indicator of current and future health. While the impact of habitual physical activity on CRF is well established, the role of sedentary behaviour (SB) remains less understood. OBJECTIVE We aimed to determine the effect of SB on CRF. METHODS Searches were conducted in MEDLINE, Embase, PsycINFO, CINAHL and SPORTDiscus from inception to August 2022. Randomised controlled trials, quasi-experimental studies and cohort studies that assessed the relationship between SB and CRF were eligible. Narrative syntheses and meta-analyses summarised the evidence, and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) certainty was based on evidence from randomised controlled trials. RESULTS This review included 18 studies that focused on youth (four randomised controlled trials, three quasi-experimental studies, 11 cohort studies) and 24 on adult populations (15 randomised controlled trials, five quasi-experimental studies, four cohort studies). In youth and adults, evidence from randomised controlled trials suggests mixed effects of SB on CRF, but with the potential for interventions to improve CRF. Quasi-experimental and cohort studies also support similar conclusions. Certainty of evidence was very low for both age groups. A meta-analysis of adult randomised controlled trials found that interventions targeting reducing SB, or increasing physical activity and reducing SB, had a significant effect on post-peak oxygen consumption (mean difference = 3.16 mL.kg-1.min-1, 95% confidence interval: 1.76, 4.57). CONCLUSIONS Evidence from randomised controlled trials indicates mixed associations between SB and CRF, with the potential for SB to influence CRF, as supported by meta-analytical findings. Further well-designed trials are warranted to confirm the relationship between SB and CRF, explore the effects of SB independent from higher intensity activity, and investigate the existence of such relationships in paediatric populations. CLINICAL TRIAL REGISTRATION PROSPERO CRD42022356218.
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Affiliation(s)
- Stephanie A Prince
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON, K1A 0K9, Canada.
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
| | - Paddy C Dempsey
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jennifer L Reed
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Exercise Physiology and Cardiovascular Health Lab, University of Ottawa Heart Institute, Ottawa, ON, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Lukas Rubin
- Department of Physical Education and Sport, Faculty of Science, Humanities and Education, Technical University of Liberec, Liberec, Czech Republic
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic
| | - Travis J Saunders
- Department Applied Human Sciences, University of Prince Edward Island, Charlottetown, PEI, Canada
| | - Josephine Ta
- Telfer School of Management, University of Ottawa, Ottawa, ON, Canada
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | | | - Justin J Lang
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON, K1A 0K9, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
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Zhang Y, Cao R, Li C, Shi Z, Sheng H, Xu Y. Experiences, Perspectives, and Barriers to Physical Activity Parenting Practices for Chinese Early Adolescents. J Phys Act Health 2023:1-9. [PMID: 37279897 DOI: 10.1123/jpah.2022-0433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 03/04/2023] [Accepted: 04/11/2023] [Indexed: 06/08/2023]
Abstract
BACKGROUND Parents play an important role in shaping youth's lifestyle behaviors. This study aimed to investigate physical activity parenting practices (PAPP) for Chinese early adolescents and compare reporting discrepancies between parents and adolescent boys and girls. METHODS Fifty-five adolescent-parent dyads participated in 16 paired focus group interviews, and an additional 122 dyads completed questionnaire surveys with open-ended questions. Participants were recruited from 3 public middle schools in Suzhou, China. Qualitative data were analyzed inductively using an open-coding scheme. Frequencies of codes were compared by parent-child role and adolescent gender using chi-square tests. RESULTS Eighteen types of PAPP were identified and grouped into 6 categories: goals/control, structure, parental physical activity participation, communication, support, and discipline. These PAPP were viewed as promotive, preventive, or ineffective. Participants had mixed opinions on the effects of 11 PAPP and identified parental, adolescent, and environmental barriers for parents to promote youth physical activity. Compared with parents, adolescents were more likely to value the effects of setting expectation, scheduling, and coparticipation as well as dislike pressuring, restriction, and punishment. Girls were more likely to favor coparticipation and were more sensitive about negative communication than boys. Parents paid more attention to environmental barriers, whereas adolescents, especially girls, focused more on personal issues. CONCLUSIONS Future studies need to address both positive and negative PAPP as well as perception discrepancies by child-parent role and adolescent gender to generate more evidence to promote parents as favorable socialization agents of youth physical activity.
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Affiliation(s)
- Youjie Zhang
- Department of Child Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, JS,China
| | - Ruohong Cao
- Department of Child Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, JS,China
| | - Cheng Li
- Beijing Institute of Nutritional Resources, Beijing, BJ,China
| | - Ziying Shi
- Centers for Disease Control and Prevention at Xuhui District, Shanghai, SHG,China
| | - Hui Sheng
- Division of School Health, Suzhou Center for Disease Control and Prevention, Suzhou, JS,China
| | - Yong Xu
- Department of Child Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, JS,China
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Hodder RK, O'Brien KM, Lorien S, Wolfenden L, Moore TH, Hall A, Yoong SL, Summerbell C. Interventions to prevent obesity in school-aged children 6-18 years: An update of a Cochrane systematic review and meta-analysis including studies from 2015-2021. EClinicalMedicine 2022; 54:101635. [PMID: 36281235 PMCID: PMC9581512 DOI: 10.1016/j.eclinm.2022.101635] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Childhood obesity remains a global public health priority due to the enormous burden it generates. Recent surveillance data suggests there has been a sharp increase in the prevalence of childhood obesity during the COVID-19 pandemic. The Cochrane review of childhood obesity prevention interventions (0-18 years) updated to 2015 is the most rigorous and comprehensive review of randomised controlled trials (RCTs) on this topic. A burgeoning number of high quality studies have been published since that are yet to be synthesised. METHODS An update of the Cochrane systematic review was conducted to include RCT studies in school-aged children (6-18 years) published to 30 June 2021 that assessed effectiveness on child weight (PROSPERO registration: CRD42020218928). Available cost-effectiveness and adverse effect data were extracted. Intervention effects on body mass index (BMI) were synthesised in random effects meta-analyses by setting (school, after-school program, community, home), and meta-regression examined the association of study characteristics with intervention effect. FINDINGS Meta-analysis of 140 of 195 included studies (183,063 participants) found a very small positive effect on body mass index for school-based studies (SMD -0·03, 95%CI -0·06,-0·01; trials = 93; participants = 131,443; moderate certainty evidence) but not after-school programs, community or home-based studies. Subgroup analysis by age (6-12 years; 13-18 years) found no differential effects in any setting. Meta-regression found no associations between study characteristics (including setting, income level) and intervention effect. Ten of 53 studies assessing adverse effects reported presence of an adverse event. Insufficient data was available to draw conclusions on cost-effectiveness. INTERPRETATION This updated synthesis of obesity prevention interventions for children aged 6-18 years, found a small beneficial impact on child BMI for school-based obesity prevention interventions. A more comprehensive assessment of interventions is required to identify mechanisms of effective interventions to inform future obesity prevention public health policy, which may be particularly salient in for COVID-19 recovery planning. FUNDING This research was funded by the National Health and Medical Research Council (NHMRC), Australia (Application No APP1153479).
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Affiliation(s)
- Rebecca K. Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
- Corresponding author at: C/- Hunter New England Population Health, Locked Bag 10, Wallsend NSW 2287 Australia.
| | - Kate M. O'Brien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sasha Lorien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Theresa H.M. Moore
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol National Health Service Foundation Trust, Whitefriars, Lewins Mean, Bristol, BS1 2NT, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Beacon House, Queens Road, Bristol, United Kingdom
| | - Alix Hall
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
- Global Obesity Centre, Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Stockton Road, Durham DH1 3LE, United Kingdom
- Fuse, The NIHR Centre for Translational Research in Public Health, United Kingdom
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Ryan M, Alliott O, Ikeda E, Luan J, Hofmann R, van Sluijs E. Features of effective staff training programmes within school-based interventions targeting student activity behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2022; 19:125. [PMID: 36153617 PMCID: PMC9509574 DOI: 10.1186/s12966-022-01361-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Evaluations of school-based activity behaviour interventions suggest limited effectiveness on students' device-measured outcomes. Teacher-led implementation is common but the training provided is poorly understood and may affect implementation and student outcomes. We systematically reviewed staff training delivered within interventions and explored if specific features are associated with intervention fidelity and student activity behaviour outcomes. METHODS We searched seven databases (January 2015-May 2020) for randomised controlled trials of teacher-led school-based activity behaviour interventions reporting on teacher fidelity and/or students' device-measured activity behaviour. Pilot, feasibility and small-scale trials were excluded. Study authors were contacted if staff training was not described using all items from the Template for Intervention Description and Replication reporting guideline. Training programmes were coded using the Behaviour Change Technique (BCT) Taxonomy v1. The Effective Public Health Practice Project tool was used for quality assessment. Promise ratios were used to explore associations between BCTs and fidelity outcomes (e.g. % of intended sessions delivered). Differences between fidelity outcomes and other training features were explored using chi-square and Wilcoxon rank-sum tests. Random-effects meta-regressions were performed to explore associations between training features and changes in students' activity behaviour. RESULTS We identified 68 articles reporting on 53 eligible training programmes and found evidence that 37 unique teacher-targeted BCTs have been used (mean per programme = 5.1 BCTs; standard deviation = 3.2). The only frequently identified BCTs were 'Instruction on how to perform the behaviour' (identified in 98.1% of programmes) and 'Social support (unspecified)' (50.9%). We found moderate/high fidelity studies were significantly more likely to include shorter (≤6 months) and theory-informed programmes than low fidelity studies, and 19 BCTs were independently associated with moderate/high fidelity outcomes. Programmes that used more BCTs (estimated increase per additional BCT, d: 0.18; 95% CI: 0.05, 0.31) and BCTs 'Action planning' (1.40; 0.70, 2.10) and 'Feedback on the behaviour' (1.19; 0.36, 2.02) were independently associated with positive physical activity outcomes (N = 15). No training features associated with sedentary behaviour were identified (N = 11). CONCLUSIONS Few evidence-based BCTs have been used to promote sustained behaviour change amongst teachers in school-based activity behaviour interventions. Our findings provide insights into why interventions may be failing to effect student outcomes. TRIAL REGISTRATION PROSPERO registration number: CRD42020180624.
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Affiliation(s)
- Mairead Ryan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Faculty of Education, University of Cambridge, Cambridge, UK
| | - Olivia Alliott
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Erika Ikeda
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Riikka Hofmann
- Faculty of Education, University of Cambridge, Cambridge, UK
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Neil-Sztramko SE, Caldwell H, Dobbins M. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev 2021; 9:CD007651. [PMID: 34555181 PMCID: PMC8459921 DOI: 10.1002/14651858.cd007651.pub3] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Physical activity among children and adolescents is associated with lower adiposity, improved cardio-metabolic health, and improved fitness. Worldwide, fewer than 30% of children and adolescents meet global physical activity recommendations of at least 60 minutes of moderate to vigorous physical activity per day. Schools may be ideal sites for interventions given that children and adolescents in most parts of the world spend a substantial amount of time in transit to and from school or attending school. OBJECTIVES The purpose of this review update is to summarise the evidence on effectiveness of school-based interventions in increasing moderate to vigorous physical activity and improving fitness among children and adolescents 6 to 18 years of age. Specific objectives are: • to evaluate the effects of school-based interventions on increasing physical activity and improving fitness among children and adolescents; • to evaluate the effects of school-based interventions on improving body composition; and • to determine whether certain combinations or components (or both) of school-based interventions are more effective than others in promoting physical activity and fitness in this target population. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, BIOSIS, SPORTDiscus, and Sociological Abstracts to 1 June 2020, without language restrictions. We screened reference lists of included articles and relevant systematic reviews. We contacted primary authors of studies to ask for additional information. SELECTION CRITERIA Eligible interventions were relevant to public health practice (i.e. were not delivered by a clinician), were implemented in the school setting, and aimed to increase physical activity among all school-attending children and adolescents (aged 6 to 18) for at least 12 weeks. The review was limited to randomised controlled trials. For this update, we have added two new criteria: the primary aim of the study was to increase physical activity or fitness, and the study used an objective measure of physical activity or fitness. Primary outcomes included proportion of participants meeting physical activity guidelines and duration of moderate to vigorous physical activity and sedentary time (new to this update). Secondary outcomes included measured body mass index (BMI), physical fitness, health-related quality of life (new to this update), and adverse events (new to this update). Television viewing time, blood cholesterol, and blood pressure have been removed from this update. DATA COLLECTION AND ANALYSIS: Two independent review authors used standardised forms to assess each study for relevance, to extract data, and to assess risk of bias. When discrepancies existed, discussion occurred until consensus was reached. Certainty of evidence was assessed according to GRADE. A random-effects meta-analysis based on the inverse variance method was conducted with participants stratified by age (children versus adolescents) when sufficient data were reported. Subgroup analyses explored effects by intervention type. MAIN RESULTS Based on the three new inclusion criteria, we excluded 16 of the 44 studies included in the previous version of this review. We screened an additional 9968 titles (search October 2011 to June 2020), of which 978 unique studies were potentially relevant and 61 met all criteria for this update. We included a total of 89 studies representing complete data for 66,752 study participants. Most studies included children only (n = 56), followed by adolescents only (n = 22), and both (n = 10); one study did not report student age. Multi-component interventions were most common (n = 40), followed by schooltime physical activity (n = 19), enhanced physical education (n = 15), and before and after school programmes (n = 14); one study explored both enhanced physical education and an after school programme. Lack of blinding of participants, personnel, and outcome assessors and loss to follow-up were the most common sources of bias. Results show that school-based physical activity interventions probably result in little to no increase in time engaged in moderate to vigorous physical activity (mean difference (MD) 0.73 minutes/d, 95% confidence interval (CI) 0.16 to 1.30; 33 studies; moderate-certainty evidence) and may lead to little to no decrease in sedentary time (MD -3.78 minutes/d, 95% CI -7.80 to 0.24; 16 studies; low-certainty evidence). School-based physical activity interventions may improve physical fitness reported as maximal oxygen uptake (VO₂max) (MD 1.19 mL/kg/min, 95% CI 0.57 to 1.82; 13 studies; low-certainty evidence). School-based physical activity interventions may result in a very small decrease in BMI z-scores (MD -0.06, 95% CI -0.09 to -0.02; 21 studies; low-certainty evidence) and may not impact BMI expressed as kg/m² (MD -0.07, 95% CI -0.15 to 0.01; 50 studies; low-certainty evidence). We are very uncertain whether school-based physical activity interventions impact health-related quality of life or adverse events. AUTHORS' CONCLUSIONS Given the variability of results and the overall small effects, school staff and public health professionals must give the matter considerable thought before implementing school-based physical activity interventions. Given the heterogeneity of effects, the risk of bias, and findings that the magnitude of effect is generally small, results should be interpreted cautiously.
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Affiliation(s)
| | - Hilary Caldwell
- Department of Kinesiology, Child Health & Exercise Medicine Program, McMaster University, Hamilton, Canada
| | - Maureen Dobbins
- School of Nursing, McMaster University, Hamilton, Canada
- National Collaborating Centre for Methods and Tools, Hamilton, Canada
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Correlations between Physical Activity Participation and the Environment in Children and Adolescents: A Systematic Review and Meta-Analysis Using Ecological Frameworks. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179080. [PMID: 34501670 PMCID: PMC8430662 DOI: 10.3390/ijerph18179080] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/25/2021] [Accepted: 08/26/2021] [Indexed: 12/02/2022]
Abstract
Physical activity (PA) and sports are efficient ways to promote the young generation’s physical and mental health and development. This study expected to demonstrate the complexity of correlates associated with children’s and adolescents’ non-organized PA participation. Following the Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA), a systematic review and meta-analysis were applied. Seven electronic databases were systematically searched to identify eligible articles based on a series of inclusion and exclusion criteria. The internal validity of the systematic reviews thus identified was evaluated using a validated quality instrument. Calculations were produced in SPSS 27.0 and Comprehensive Meta-Analysis 3.3. Thirty-nine eligible studies (N = 324,953) with moderate to high quality were included. No potential publication bias was detected using statistical analyses. The meta-analysis revealed that the overall ecological factors correlated positively with children and adolescents’ PA; the meta-analytic average of the correlations was (′r = 0.32, p < 0.001). Results from subgroup analysis indicated that theory-based influence factors achieved moderate effect with boys (′r = 0.37, p < 0.001) and girls (′r = 0.32, p < 0.001) in PA participation. Interestingly, higher correlations were found between ecological factors and twins’ PA participation (′r = 0.61, p = 0.001). Further, individual (′r = 0.32, p < 0.001), macro-, and chronosystems factors (′r = 0.50, p < 0.001) appeared slightly more influential than microsystems factors (′r = 0.28, p < 0.001) on children and adolescents’ PA participation. Although findings from the included studies covered were to some extent heterogeneous, it is possible to identify consistent correlates of PA in children and adolescents. The results supported that PA is a complex and multi-dimensional behavior, which is determined by numerous biological, psychological, sociocultural, and environmental factors. Future studies that focus on the integration effect of macrosystem and chronosystem environmental factors, and apply longitudinal designs and objective measurements are encouraged to further unfold the complexity of the ecological system and its implications in promoting children and adolescents’ PA participation.
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St. Pierre C, Guan W, Barry L, Dease G, Gottlieb S, Morris A, Merrill J, Sacheck JM. Themes in Train-the-Trainer Nutrition Education Interventions Targeting Middle School Students: A Systematic Review. Nutrients 2021; 13:2749. [PMID: 34444910 PMCID: PMC8398099 DOI: 10.3390/nu13082749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/04/2021] [Accepted: 08/05/2021] [Indexed: 11/24/2022] Open
Abstract
Context-appropriate nutrition education interventions targeting middle school students have the potential to promote healthy dietary patters that may help prevent unnecessary weight gain at a point in childhood development when youth experience increasing agency over their food choices. The aim of this review was to identify and synthesize themes in train-the-trainer approaches, intervention content and delivery, and youth receptivity across teacher, mentor, and peer-led nutrition education interventions that targeted middle school-age youth in urban, primarily low-income settings. A systematic, electronic literature search was conducted in seven electronic databases, PubMed/Medline, CINAHL, ERIC, PsycINFO, Scopus, SPORTDiscus, and Cochrane CENTRAL, using fixed inclusion and exclusion criteria. A total of 53 papers representing 39 unique interventions were selected for data extraction and quality assessment. A framework synthesis approach was used to organize the interventions into six categories and identify themes according to whether the intervention was classroom-based or out-of-school-based and whether adults, cross-age peers or same-age peers delivered the intervention. Ten of the interventions contained multiple components such that they were included in two of the categories. The review findings indicated that trainings should be interactive, include opportunities to role-play intervention scenarios and provide follow-up support throughout intervention delivery. Interventions targeting middle school youth should include positive messaging and empower youth to make healthy choices within their specific food environment context.
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Affiliation(s)
- Christine St. Pierre
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA; (G.D.); (J.M.S.)
| | - Win Guan
- Up2Us Sports, New York, NY 10018, USA; (W.G.); (J.M.)
| | - Leah Barry
- Department of Sociology, Tulane University, New Orleans, LA 70118, USA; (L.B.); (S.G.)
| | - Grace Dease
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA; (G.D.); (J.M.S.)
| | - Sydney Gottlieb
- Department of Sociology, Tulane University, New Orleans, LA 70118, USA; (L.B.); (S.G.)
| | - Arielle Morris
- School of Science & Engineering, Tulane University, New Orleans, LA 70118, USA;
| | | | - Jennifer M. Sacheck
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA; (G.D.); (J.M.S.)
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