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Hassan MA, McDonough DJ, Ryu S, Zhou W, Oginni J, Gao Z. Comparative effectiveness of school-based obesity prevention programs for children and adolescents: a systematic review and network meta-analysis. Front Public Health 2024; 12:1504279. [PMID: 39741939 PMCID: PMC11685220 DOI: 10.3389/fpubh.2024.1504279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 12/03/2024] [Indexed: 01/03/2025] Open
Abstract
Introduction While many randomized controlled trials (RCTs) have demonstrated the positive effects of school-based programs in reducing body fat among children and teenagers, there is no conclusive evidence to indicate that one approach is superior to another, largely due to the lack of direct and indirect comparisons. This study evaluated the relative effectiveness of various school-based obesity prevention initiatives in improving body mass index (BMI) among children and adolescents using network meta-analysis. Methods Searches included four databases focusing on articles published in English between the years 2002 and 2024. The primary outcomes were the BMI and BMI z-scores (BMIz) (kg/m2). The mean differences (MDs) for each outcome were calculated before and after treatment. The current systematic review synthesized 53 RCTs with a sample of 68,489 children and adolescents. Results The results illustrated that the physical activity (PA) only arm was the most effective intervention in improving BMI (MD: -0.42, 95% credible interval (Crl) -0.79, -0.07; p = 0.02), while the multiple-component intervention was the most effective in improving BMIz (MD: -0.08, 95% Crl: -0.16, -0.01; p = 0.03). Inversely, PA and another component arm were the least effective interventions in improving BMI (MD: 0.64, 95% Crl: -0.23, 1.53; p = 0.15). In addition, diet and nutrition only arm was the least effective intervention in improving BMIz (MD: 0.09, 95% Crl: -0.11, 0.28; p = 0.36). Discussion In conclusion, both PA-only and multiple-component arms are effective intervention tools/strategies for reducing BMI-related outcomes. However, further large-scale, well-designed studies are needed to investigate the elements of multiple-component arms. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/ identifier CRD42021234742.
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Affiliation(s)
- Mohamed A. Hassan
- Department of Methods and Curriculum, Sports Science College, Helwan University, Cairo, Egypt
| | - Daniel J. McDonough
- School of Public Health, Division of Epidemiology and Community Health University of Minnesota-Twin Cities, Minneapolis, MN, United States
| | - Suryeon Ryu
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, United States
| | - Wanjiang Zhou
- School of Kinesiology, University of Minnesota-Twin Cities, Minneapolis, MN, United States
| | - John Oginni
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, United States
| | - Zan Gao
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, United States
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Mclaughlin M, Duff J, Campbell E, McKenzie T, Davies L, Wolfenden L, Wiggers J, Sutherland R. Process Evaluation of a Scaled-Up School-Based Physical Activity Program for Adolescents: Physical Activity 4 Everyone. J Phys Act Health 2024; 21:741-755. [PMID: 38849120 DOI: 10.1123/jpah.2024-0038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/12/2024] [Accepted: 04/15/2024] [Indexed: 06/09/2024]
Abstract
BACKGROUND Physical Activity 4 Everyone (PA4E1) is a whole-school physical activity program, with demonstrated efficacy (2012-2014). PA4E1 was adapted (scaled-up) and tested in a scale-up trial (2017-2020). This process evaluation study of the scale-up trial had 2 aims. First, to describe the acceptability, appropriateness, and feasibility of PA4E1 in the scale-up trial, from the perspective of school staff involved in the program management and delivery. Second, to generate themes that may explain school staff assessments of acceptability, appropriateness, and feasibility. METHODS Data were collected at various time points throughout the 2-year implementation phase. Online surveys were collected from In-School Champions, Head Physical Education teachers, Principals, and Physical Education teachers (quantitative data). Focus groups and interviews were conducted with In-School Champions, Principals, and Physical Education teachers (qualitative data). Existing published data on website engagement, adaptations, modifications, and the scale-up trial primary outcome (implementation of physical activity practices) were triangulated with the quantitative and qualitative during analysis, to generate themes. RESULTS School staff delivering PA4E1 reported it was highly acceptable, appropriate, and feasible. Seven themes were generated relating to acceptability, appropriateness, and feasibility. The themes related to how the program was funded, the delivery modes of implementation support, the identification of easy-wins, the recruitment of the right in-school champion, facilitating principal buy-in, mitigating the impact of school staff turnover, and engaging the whole school. CONCLUSIONS Recommendations are made to inform future adaptations for PA4E1 and potentially school-based physical activity programs more generally. The findings may inform future scalability assessments of the suitability of programs for scale-up.
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Affiliation(s)
- Matthew Mclaughlin
- Center for Child Health Research, University of Western Australia, Nedlands, WA, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
| | - Jed Duff
- School of Nursing Faculty of Health, Queensland University of Technology, Brisbane City, QLD, Australia
| | - Elizabeth Campbell
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
| | - Tom McKenzie
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
| | - Lynda Davies
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Center for Health Behavior, University of Newcastle, Callaghan, NSW, Australia
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Dakin M, Manneville F, Langlois J, Briançon S, Lecomte E, Spitz E, Legrand K, Böhme P, Guillemin F, Omorou A. Role of dietary intake and physical activity in reducing weight social inequalities among adolescents: an application of G-formula to PRALIMAP-INÈS trial. Br J Nutr 2024; 132:182-191. [PMID: 38800976 DOI: 10.1017/s0007114524001090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Interventions aiming to reduce social inequalities of weight status in adolescents usually focus on lifestyle behaviours, but their effectiveness is limited. This study analysed the effect of achieving levels of dietary intake (DI) and/or physical activity (PA) guidelines on reducing social inequalities in weight status among adolescents. We included adolescents from the PRomotion de l'ALIMentation et de l'Activité Physique - INÉgalité de Santé (PRALIMAP-INÈS) trial with weight status data available at baseline and 1-year follow-up (n 1130). PA and DI were measured using the International Physical Activity Questionnaire and a validated FFQ, respectively. We estimated the likelihood of a 1-year reduction in BMI z-score (BMIz) and population risk difference (PRD) under hypothetical DI and PA levels and socio-economic status using the parametric G-formula. When advantaged and less advantaged adolescents maintained their baseline DI and PA, we found social inequalities in weight status, with a PRD of a 1-year reduction in BMIz of -1·6 % (-3·0 %, -0·5 %). These inequalities were not observed when less advantaged adolescents increased their proportion of achieving DI guidelines by 30 % (PRD = 2·2 % (-0·5 %, 5·0 %)) unlike the same increase in PA (PRD = -3·9 % (-6·8 %, -1·3 %)). Finally, social inequalities of weight status were not observed when levels of achievement of both PA and DI guidelines increased by 30 % (PRD = 2·2 % (-0·5 %, 4·0 %)). Enhancing DI rather than PA could be effective in reducing social inequalities in weight status among adolescents. Future interventions aiming to reduce these inequalities should mostly target DI to be effective.
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Affiliation(s)
- Mohamed Dakin
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
| | - Florian Manneville
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
- Inserm, CHRU Nancy, Université de Lorraine, CIC-Clinical Epidemiology, Nancy F-54000, France
| | - Johanne Langlois
- Conservatoire National des Arts et Métiers - Institut scientifique et technique de la nutrition et de l'alimentation (Cnam-ISTNA), Nancy, France
| | - Serge Briançon
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
| | - Edith Lecomte
- Conservatoire National des Arts et Métiers - Institut scientifique et technique de la nutrition et de l'alimentation (Cnam-ISTNA), Nancy, France
| | - Elisabeth Spitz
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
| | - Karine Legrand
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
- Inserm, CHRU Nancy, Université de Lorraine, CIC-Clinical Epidemiology, Nancy F-54000, France
| | - Philip Böhme
- Service d'endocrinologie, diabétologie et nutrition, CHRU Nancy, Nancy, F-54000, France
| | - Francis Guillemin
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
- Inserm, CHRU Nancy, Université de Lorraine, CIC-Clinical Epidemiology, Nancy F-54000, France
| | - Abdou Omorou
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
- Inserm, CHRU Nancy, Université de Lorraine, CIC-Clinical Epidemiology, Nancy F-54000, France
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Dakin M, Omorou AY, Guillemin F. Effectiveness of interventions to reduce social inequalities of weight status in adolescents: A systematic review and meta-analysis. Obes Rev 2024; 25:e13752. [PMID: 38644206 DOI: 10.1111/obr.13752] [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: 01/16/2023] [Revised: 02/29/2024] [Accepted: 03/19/2024] [Indexed: 04/23/2024]
Abstract
Many interventions are implemented in the public health context to overcome social inequalities of weight status in adolescents, but their effectiveness is challenged. This study aimed to examine the effectiveness of these interventions with a systematic review and meta-analysis. We systematically searched for reports of randomized control trials and quasi-experimental studies aiming to reduce social inequalities of weight status in adolescents in five electronic databases. The primary outcomes were social inequalities in weight-related outcomes (body mass index [BMI], BMI z score, waist circumference, percent body fat, prevalence of overweight/obesity). Interventions were effective when they reduced social inequalities in at least one weight-related outcome. Meta-analyses involved using random-effects models. The review included 38 publications (33 studies) with interventions mostly targeting disadvantaged adolescents (n = 29 studies), showing effectiveness in half of the studies (n = 19/33, 57.6%). The meta-analysis (27 studies) revealed that targeted interventions significantly reduced BMI z score (β = -0.04 [95% CI -0.08, -0.01]), BMI (β = -0.32 [-0.47, -0.18]), and waist circumference (β = -0.84 [-1.48, -0.21]) but not percent body fat (β = -0.27 [-0.71, 0.17]) or prevalence of overweight/obesity (odds ratio = 1.06 [0.85, 1.31]). This review shows moderate effectiveness of interventions targeting disadvantaged adolescents to reduce social inequalities of weight status. High-quality research with better implementation to reach their full potential is required to strengthen their effectiveness.
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Affiliation(s)
- Mohamed Dakin
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
| | - Abdou Yacoubou Omorou
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
- Inserm, CHRU Nancy, Université de Lorraine, CIC-Clinical Epidemiology, Nancy, France
| | - Francis Guillemin
- Inserm, UMR 1319 INSPIIRE, Université de Lorraine, Nancy, Metz, France
- Inserm, CHRU Nancy, Université de Lorraine, CIC-Clinical Epidemiology, Nancy, France
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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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van der Wurff I, Kirschner M, Golsteijn R, de Jonge M, Berendsen B, Singh A, Savelberg H, de Groot R. School-based physical activity interventions: which intervention characteristics are associated with participation and retention? A meta-analysis. Prev Med 2024; 182:107925. [PMID: 38437923 DOI: 10.1016/j.ypmed.2024.107925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/06/2024]
Abstract
OBJECTIVE Many school-based intervention studies are conducted to increase students' physical activity (PA). Recruitment and retention problems potentially impact the robustness of RCT findings. We conducted a meta-analysis to summarize recruitment and retention rates in long-term secondary school-based PA intervention studies and examined associated participant and intervention characteristics. METHODS Web of Science, Pubmed, Medline, and PsychInfo were searched until March 20th 2023. We included studies on secondary school-based PA interventions ≥12 weeks, aimed at typically developing adolescents. We abstracted number of schools and students invited, randomized, and participating at follow-up to calculate pooled recruitment and retention rates; participant and intervention characteristics were abstracted to execute subgroup or meta-regression analyses. RESULTS Recruitment rates were 51% for invited schools and 80% for invited students, the retention for schools was almost 100% and for students 91%. Interventions with fixed and flexible components, executed in Asia and South America, and from later publication years had higher student recruitment rates. Students' retention rates were lower for interventions which had flexible components, were theory/model-based, used an accelerometer, had a longer intervention duration, and included more females. CONCLUSION Recruitment and retention rates in school-based PA interventions are high. Some participant and intervention characteristics influence these rates: flexibility of the intervention, theory/model-based intervention, accelerometer use, intervention duration, continent, and number of females. Researchers should consider these characteristics in intervention development to achieve optimal balance between intervention effectiveness, recruitment, and retention.
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Affiliation(s)
- I van der Wurff
- Health Psychology, Faculty of Psychology, Open Univerity of the Netherlands, Heerlen 6419 AT, the Netherlands.
| | - M Kirschner
- Conditions for Lifelong Learning, Faculty of Educational Sciences, Open University of the Netherlands, Heerlen 6419 AT, the Netherlands
| | - R Golsteijn
- Health Psychology, Faculty of Psychology, Open Univerity of the Netherlands, Heerlen 6419 AT, the Netherlands
| | - M de Jonge
- (Former Employee of) Mulier Institute, Herculesplein 269, Utrecht 3584 AA, the Netherlands
| | - B Berendsen
- Department of Nutritional and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, Maastricht 6200 MD, the Netherlands
| | - A Singh
- (Former Employee of) Mulier Institute, Herculesplein 269, Utrecht 3584 AA, the Netherlands; Human Movement. School and Sport, Applied University of Windesheim, Zwolle, the Netherlands
| | - H Savelberg
- Department of Nutritional and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, Maastricht 6200 MD, the Netherlands; SHE, School of Health Professions Education, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands
| | - R de Groot
- Conditions for Lifelong Learning, Faculty of Educational Sciences, Open University of the Netherlands, Heerlen 6419 AT, the Netherlands
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Peiris DLIHK, Duan Y, Vandelanotte C, Liang W, Baker JS. In-classroom physical activity breaks program among school children in Sri Lanka: study protocol for a randomized controlled trial. Front Public Health 2024; 12:1360210. [PMID: 38711768 PMCID: PMC11070516 DOI: 10.3389/fpubh.2024.1360210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/09/2024] [Indexed: 05/08/2024] Open
Abstract
Background The problem of sedentary behavior among primary school children is alarming, with numbers gradually increasing worldwide, including Sri Lanka. Physical activity interventions within classroom settings have been acknowledged as a critical strategy to increase students' movement behaviors while enhancing their academic achievement and health. Yet, the busy curriculum and challenging educational demands encourage more sedentary classroom behavior. Hence, this study aims to develop and evaluate an in-classroom physical activity breaks (IcPAB) intervention among fifth graders in Sri Lanka. Methods The study will adopt a randomized controlled trial (RCT), comprising an in-classroom physical activity breaks program group and a control group to evaluate the effects of IcPAB on academic achievement, movement behaviors and health outcomes. The intervention design is based on the capability (C), opportunity (O) and motivation (M) behavior (B) (COM-B) model. A least 198 fifth graders will be recruited from two schools in Uva province, Sri Lanka. The recruitment process will start in late 2022. Class teachers of the intervention group will implement 5-min activity breaks at least three times a day after completing a training session. The primary variables include mathematics and reading achievement. The secondary variables include physical activity levels, steps count, sedentary behavior, body mass index, aerobic fitness, and perceived stress. Data collection will be implemented at pre-test and post-test, respectively. Intervention fidelity and the process will also be evaluated. Discussion The IcPAB is designed to prevent pure educational time loss by introducing curriculum-integrated short bouts of physical active breaks into the classroom routine. If the IcPAB is effective, it can (1) improve the mathematics and reading achievement of fifth-grade girls and boys, which is a significant factor determining the performance at the Grade Five National Scholarship Examination in Sri Lanka; (2) improve movement behaviors as well as physical and mental health outcomes among primary school students. Sequentially, the IcPAB will enrich school-based physical activity intervention approaches which can in turn bring academic and health benefits to primary school children in Sri Lanka. Trial registration The first version of the trial was registered with the ISRCTN registry (Ref: ISRCTN52180050) on 20/07/2022.
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Affiliation(s)
- D. L. I. H. K. Peiris
- Department of Sport, Physical Education and Health, Faculty of Social Sciences, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China
| | - Yanping Duan
- Department of Sport, Physical Education and Health, Faculty of Social Sciences, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China
| | - Corneel Vandelanotte
- Physical Activity Research Group, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Wei Liang
- School of Physical Education, Shenzhen University, Shenzhen, China
| | - Julien Steven Baker
- Department of Sport, Physical Education and Health, Faculty of Social Sciences, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China
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Contardo Ayala AM, Parker K, Mazzoli E, Lander N, Ridgers ND, Timperio A, Lubans DR, Abbott G, Koorts H, Salmon J. Effectiveness of Intervention Strategies to Increase Adolescents' Physical Activity and Reduce Sedentary Time in Secondary School Settings, Including Factors Related to Implementation: A Systematic Review and Meta-Analysis. SPORTS MEDICINE - OPEN 2024; 10:25. [PMID: 38472550 DOI: 10.1186/s40798-024-00688-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/21/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Globally, just one in five adolescents meet physical activity guidelines and three-quarters of the school day is spent sitting. It is unclear which types of school-based interventions strategies increase physical activity and reduce sedentary time among adolescents, or how these interventions are implemented influences their effectiveness. OBJECTIVE The three aims of our systematic review were to (a) identify intervention strategies used within secondary school settings to improve students' movement behaviours throughout school-based initiatives, delivered at or by the school; (b) determine the overall effect of the interventions (meta-analysis) on physical activity (all intensities), sedentary time, cognitive/academic, physical health and/or psychological outcomes; and (c) describe factors related to intervention implementation. METHODS Searches were conducted in MEDLINE complete, EMBASE, CINAHL, SPORTDiscus, APA PsycINFO, and ERIC in January 2023 for studies that (a) included high school-aged adolescents; (b) involved a school-based intervention to increase physical activity and/or decrease sedentary time; and (c) were published in English. Reported effects were pooled in meta-analyses where sufficient data were obtained. RESULTS Eighty-five articles, representing 61 interventions, met the inclusion criteria, with 23 unique intervention strategies used. Interventions that involved whole-school approaches (i.e., physical activity sessions, environmental modifications, teacher training, peer support and/or educational resources) were favourably associated with most of the outcomes. The meta-analyses showed: (a) non-significant effects for sedentary time (Standardized mean difference [SMD] = -0.02; 95%CI, -0.14, 0.11), physical activity at all intensities (light: SMD= -0.01; 95%CI, -0.08, 0.05; moderate: SMD = 0.06; 95%CI, -0.09, 0.22; vigorous: SMD = 0.08; 95%CI, -0.02, 0.18; moderate-to-vigorous: SMD = 0.05; 95%CI, -0.01, 0.12) and waist circumference (SMD = 0.09; 95%CI, -0.03, 0.21), and (b) a small statistically significant decrease in body mass index (SMD= -0.09, 95%CI -0.16, -0.0). Factors related to intervention implementation were reported in 51% of the articles. CONCLUSION While some intervention approaches demonstrated promise, small or null effects were found in meta-analyses. Future school-based interventions should utilize a whole-school approach designed to increase adolescents' activity across the day. Consistent reporting of implementation will increase understanding of how interventions are adopted, implemented and sustained. REGISTRATION PROSPERO (CRD42020169988).
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Affiliation(s)
- Ana María Contardo Ayala
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia.
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.
| | - Kate Parker
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Emiliano Mazzoli
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Natalie Lander
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Nicola D Ridgers
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, , Australia
| | - Anna Timperio
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - David R Lubans
- Centre for Active Living and Learning, College of Human and Social Futures, University of Newcastle, Newcastle, NSW, Australia
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Hunter Medical Research institute, New Lambton Heights, NSW, Australia
| | - Gavin Abbott
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Harriet Koorts
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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9
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Aivey SA, Fukushima Y, Rahman MM, Nahar NS, Ahmed A, Prihanto JB, Hawlader MDH, Moriyama M. Effects of school nurse-led health education to reduce malnutrition among primary school children in Bangladesh: Cluster nonrandomized controlled trial. J Family Med Prim Care 2024; 13:1024-1036. [PMID: 38736776 PMCID: PMC11086752 DOI: 10.4103/jfmpc.jfmpc_1560_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 05/14/2024] Open
Abstract
Background Malnutrition is a major health concern among children especially in low and middle-income countries. However, there are limited studies on school health in Bangladesh. This study aimed to reduce malnutrition among primary school children in Bangladesh by increasing awareness and knowledge through school nurse-led health education. Methods and Materials A prospective, open-label, parallel-group (1:1), cluster nonrandomized controlled trial on primary school children conducted in rural Bangladesh. The study lasted 13 months between September 2021 and September 2022. Four schools were selected and assigned to the intervention and control groups (CGs). Next, school nurses provided evidence-based health education to the children in the intervention group (IG) for 9 months to improve awareness and knowledge of malnutrition. Data were collected at baseline, midline, and endline. Results Overall, 604 children were enrolled at the baseline; among them, 455 (CG, n = 220; IG, n = 235) completed the study. Changes in the malnutrition rate-the primary outcome-were not significant (P = 0.225). However, after adjusting the endline data with baseline and sociodemographic data, the children's body mass index improved significantly in the IG than in the CG (P < 0.05). Changes in eating behavior, and awareness and knowledge of malnutrition-the secondary outcomes-significantly differed between the groups (P < 0.001). Conclusion The school nurse-led health education program significantly improved primary school children's awareness and knowledge of malnutrition. This study revealed the effectiveness of school nurses in reducing malnutrition among children, which may decrease future morbidity and mortality rates in children.
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Affiliation(s)
- Sadia A. Aivey
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yasuko Fukushima
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Md Moshiur Rahman
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Niru S. Nahar
- Department of Nursing Science, Grameen Caledonian College of Nursing, Dhaka, Bangladesh
| | - Ashir Ahmed
- Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan
| | - Junaidi B. Prihanto
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Department of Physical Education, Universitas Negeri Surabaya (State University of Surabaya), Surabaya, East Java, Indonesia
| | | | - Michiko Moriyama
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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10
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Taghizadeh S, Hashemi MG, Zarnag RK, Fayyazishishavan E, Gholami M, Farhangi MA, Gojani LJ. Barriers and facilitators of childhood obesity prevention policies: A systematic review and meta-synthesis. Front Pediatr 2023; 10:1054133. [PMID: 36714652 PMCID: PMC9874939 DOI: 10.3389/fped.2022.1054133] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/08/2022] [Indexed: 01/13/2023] Open
Abstract
Objectives Childhood obesity is one of the worldwide considerable public health challenges and many factors can play a role in its management. Therefore, this article examined the facilitators and barriers of childhood obesity prevention (COP) policies. Methods This systematic review of qualitative studies was conducted via a search of the SCOPUS, PubMed, and Google Scholar databases between 1 January 2010 and 11 February 2022 and examined factors that influence the implementation of COP policies at a community approach. Results The parents' reluctance to engage in COP activities, lack of sufficient knowledge, and financial problems were the most reported barriers at the individual level. In addition, the beliefs about COP at the sociocultural level and limited funding and resources, time limitations in stakeholders at the implementation level, and lack of policy support at the structural level were the most frequently reported barriers. Further, effective communication between stakeholders and parents and school staff at the sociocultural level and flexibility of the intervention, delivery of healthy food programs in schools, low-cost and appropriate resources, and the availability of appropriate facilities are the most frequently reported facilitators in the structural level. Conclusion Individual, sociocultural, and structural level-related barriers and facilitators influence the implementation of COP policies. Most of the barriers and facilitators in this systematic review were related to the structural level.
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Affiliation(s)
- Shahnaz Taghizadeh
- Department of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Rahim Khodayari Zarnag
- Department of Health Policy and Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ehsan Fayyazishishavan
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, United States
| | - Marjan Gholami
- Department of Pharmacy, Faculty of Pharmacy, Islamic Azad University Pharmaceutical Sciences Branch, Tehran, Iran
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11
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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: 4.7] [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
| | - 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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12
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Ram B, Foley KA, van Sluijs E, Hargreaves DS, Viner RM, Saxena S. Developing a core outcome set for physical activity interventions in primary schools: a modified-Delphi study. BMJ Open 2022; 12:e061335. [PMID: 36180126 PMCID: PMC9528589 DOI: 10.1136/bmjopen-2022-061335] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 08/26/2022] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVES To develop a core outcome set (COS) for physical activity interventions in primary schools. DESIGN Modified-Delphi study. SETTING The UK and international. PARTICIPANTS 104 participants from four stakeholder groups (educators, public health professionals, health researchers, parents); 16 children (aged 8-9 years) from 1 London primary school. INTERVENTIONS Physical activity interventions. METHODS Four-stage process: (1) outcomes extracted from relevant studies identified from an umbrella review and a focus group; (2) list of outcomes produced and domains established; (3) stakeholders completed a two-round Delphi survey by rating (Round 1) and re-rating (Round 2) each outcome on a nine-point Likert Scale from 'not important' to 'critical': a>70% participant threshold identified the outcomes rated 'critical' to measure, and outcomes important to children were identified through a workshop; and (4) a stakeholder meeting to achieve consensus of the outcomes to include in the COS. RESULTS In total, 74 studies were extracted from 53 reviews. A list of 50 outcomes was produced and three domains were established: 'physical activity and health' (16 outcomes), 'social and emotional health' (22 outcomes) and 'educational performance' (12 outcomes). 104 participants completed survey Round 1; 65 participants completed both rounds. In total, 13 outcomes met the threshold; children identified 8 outcomes. Fourteen outcomes achieved consensus to produce the COS: five outcomes for physical activity and health (diet (varied and balanced), energy, fitness, intensity of physical activity, sleep (number of hours)); seven outcomes for social and emotional health (anxiety, depression, enjoyment, happiness, self-esteem, stress, well-being); and two outcomes for educational performance (concentration, focus). CONCLUSIONS We have developed the first COS for physical activity interventions in primary schools in consultation with those interested in the development and application of an agreed standardised set of outcomes. Future studies including these outcomes will reduce heterogeneity across studies. TRIAL REGISTRATION NUMBER Core Outcome Measures in Effectiveness Trials Initiative registration number 1322; Results.
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Affiliation(s)
- Bina Ram
- Primary Care and Public Health, Imperial College London, London, UK
| | | | - Esther van Sluijs
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, UK
| | - Dougal S Hargreaves
- Primary Care and Public Health, Imperial College London, London, UK
- Mohn Centre for Children's Health and Wellbeing, Imperial College London, London, UK
| | - Russell M Viner
- Population, Policy and Practice Research Programme, UCL Institute of Child Health, London, UK
| | - Sonia Saxena
- Primary Care and Public Health, Imperial College London, London, UK
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13
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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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14
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Munusamy G, Shanmugam R. Prevention and Interventional Strategies of Adolescent Obesity / Overweight. CARDIOMETRY 2022. [DOI: 10.18137/cardiometry.2022.23.133147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Purpose: It’s a known factor that obesity and overweight among adolescentsare major emerging global health problems associated with morbidityand mortality throughout their life in developed and developing countries. There is evidence that reducing overweight and obesity by increasing awareness, self-efficacy, and contemplation to adopt a health-promoting lifestyle.The aim of this review how the theory and model used to reduce this burden through vicarious interventional activities among adolescence (10-19 years)in a school setting. Methods: A literature search was performed in four databases to identify published studies between January 2009 and December 2019. Randomized control trial exploring the multiple interventional effects on obesity and overweight by utilization of with or without theoretical constructs and outcome on body mass index. Results: Originally references searched were 2112 abstracts and full-text articles. The total population was 34,846 adolescents. Most of the multiple interventionshad little positive effect onphysical activity, dietary intake, and sedentary behavior changes directly on BMI. Only three studies show changes in behavior through theory. Minimal studies reported the involvement and motivation of parents, friends, and teachers for themselves and adolescents. Conclusion: The contemporary review to visualizemultiple interventions, and how models and theory focused on various pragmatic activities in the delivery and outcome in school settings among adolescents.
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15
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Rogers CD, Richardson MR, Churilla JR. Recess and Overweight and Obesity in Children 5-11 Years of Age: 2013-2016 National Health and Nutrition Examination Survey. THE JOURNAL OF SCHOOL HEALTH 2022; 92:63-70. [PMID: 34786703 DOI: 10.1111/josh.13105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/18/2021] [Accepted: 05/22/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Recess has been shown to increase total daily energy expenditure, which may favorably impact body mass index by decreasing adiposity. This study examines associations between recess participation and adiposity. METHODS The study sample included male (N = 1434) and female (N = 1409) children 5 to 11 years of age participating in the 2013-2016 National Health and Nutrition Examination Survey. Overweight and obesity were defined using age- and sex-specific percentiles. Recess participation interview questions were answered via proxy response. RESULTS Compared to a referent group participating in recess 5 days/week for >30 minutes/day and independent of demographic and behavioral factors, analysis revealed significantly greater odds of obesity in females reporting no recess participation (odds ratio 1.80; 95% confidence interval, 1.03-3.15, p = .03). Furthermore, minority females were consistently found to possess greater odds of overweight and obesity independent of recess participation time. Only Mexican American boys were found to have greater odds of obesity independent of participation recess time. CONCLUSIONS In a large nationally representative sample of US children, reporting no recess was associated with significantly greater odds of obesity in females. Minority females were also more likely to be overweight and obese and Mexican American boys are more likely to be obese independent of recess participation time.
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Affiliation(s)
- Chakene D Rogers
- Department of Clinical and Applied Movement Sciences, University of North Florida, Jacksonville, FL, 32224, USA
| | - Michael R Richardson
- Department of Clinical and Applied Movement Sciences, University of North Florida, Jacksonville, FL, 32224, USA
| | - James R Churilla
- Department of Clinical and Applied Movement Sciences, University of North Florida, Jacksonville, FL, 32224, USA
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16
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Mclaughlin M, Campbell E, Sutherland R, McKenzie T, Davies L, Wiggers J, Wolfenden L. Extent, Type and Reasons for Adaptation and Modification When Scaling-Up an Effective Physical Activity Program: Physical Activity 4 Everyone (PA4E1). FRONTIERS IN HEALTH SERVICES 2021; 1:719194. [PMID: 37007208 PMCID: PMC10062321 DOI: 10.3389/frhs.2021.719194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 07/30/2021] [Indexed: 06/03/2023]
Abstract
Background: Few studies have described the extent, type and reasons for making changes to a program prior to and during its delivery using a consistent taxonomy. Physical Activity 4 Everyone (PA4E1) is a secondary school physical activity program that was scaled-up for delivery to a greater number of schools. We aimed to describe the extent, type and reasons for changes to the PA4E1 program (the evidence-based physical activity practices, implementation support strategies and evaluation methods) made before its delivery at scale (adaptations) and during its delivery in a scale-up trial (modifications). Methods: The Framework for Reporting Adaptations and Modifications-Enhanced (FRAME) was used to describe adaptations (planned and made prior to the scale-up trial) and modifications (made during the conduct of the trial). A list of adaptations was generated from a comparison of the efficacy and scale-up trials via published PA4E1 protocols, trial registrations and information provided by trial investigators. Monthly trial team meetings tracked and coded modifications in "real-time" during the conduct of the scale-up trial. The extent, type and reasons for both adaptations and modifications were summarized descriptively. Results: In total, 20 adaptations and 20 modifications were identified, these were to physical activity practices (n = 8; n = 3), implementation support strategies (n = 6; n = 16) and evaluation methods (n = 6, n = 1), respectively. Few adaptations were "fidelity inconsistent" (n = 2), made "unsystematically" (n = 1) and proposed to have a "negative" impact on the effectiveness of the program (n = 1). Reasons for the adaptations varied. Of the 20 modifications, all were "fidelity consistent" and the majority were made "proactively" (n = 12), though most were "unsystematic" (n = 18). Fifteen of the modifications were thought to have a "positive" impact on program effectiveness. The main reason for modification was the "available resources" (n = 14) of the PA4E1 Implementation Team. Conclusions: Adaptations and modifications to public health programs are common. Modifications have the potential to impact the implementation and effectiveness of programs. Our findings underscore the importance of comprehensive reporting of the extent, type and reasons for modifications as part of process evaluations, as this data may be important to the interpretation of trial findings. Clinical Trial Registration: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372870, Identifier ACTRN12617000681358.
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Affiliation(s)
- Matthew Mclaughlin
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Elizabeth Campbell
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Tom McKenzie
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Lynda Davies
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia
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17
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Sutherland R, Campbell E, McLaughlin M, Nathan N, Wolfenden L, Lubans DR, Morgan PJ, Gillham K, Oldmeadow C, Searles A, Reeves P, Williams M, Evans N, Bailey A, Boyer J, Lecathelinais C, Davies L, McKenzie T, Robertson K, Wiggers J. Scale-up of the Physical Activity 4 Everyone (PA4E1) intervention in secondary schools: 24-month implementation and cost outcomes from a cluster randomised controlled trial. Int J Behav Nutr Phys Act 2021; 18:137. [PMID: 34688281 PMCID: PMC8542325 DOI: 10.1186/s12966-021-01206-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/29/2021] [Indexed: 11/15/2022] Open
Abstract
Background Physical Activity 4 Everyone (PA4E1) is an evidence-based program effective at increasing adolescent physical activity (PA) and improving weight status. This study aimed to determine a) the effectiveness of an adapted implementation intervention to scale-up PA4E1 at 24-month follow-up, b) fidelity and reach, and c) the cost and cost-effectiveness of the implementation support intervention. Methods A cluster randomised controlled trial using a type III hybrid implementation-effectiveness design in 49 lower socio-economic secondary schools, randomised to a program (n = 24) or control group (n = 25). An adapted implementation intervention consisting of seven strategies was developed to support schools to implement PA4E1 over 24-months. The primary outcome was the proportion of schools implementing at least four of the 7 PA practices, assessed via computer assisted telephone interviews (CATI) with Head Physical Education Teachers. Secondary outcomes included the mean number of PA practices implemented, fidelity and reach, cost and cost-effectiveness. Logistic regression models assessed program effects. Results At baseline, no schools implemented four of the 7 PA practices. At 24-months, significantly more schools in the program group (16/23, 69.6%) implemented at least four of the 7 PA practices than the control group (0/25, 0%) (p < 0.001). At 24-months, program schools were implementing an average of 3.6 more practices than control schools (4.1 (1.7) vs. 0.5 (0.8), respectively) (P < 0.001). Fidelity and reach of the implementation intervention were high (> 75%). The total cost of the program was $415,112 AUD (2018) ($17,296 per school; $117.30 per student). Conclusions The adapted implementation intervention provides policy makers and researchers with an effective and potentially cost-effective model for scaling-up the delivery of PA4E1 in secondary schools. Further assessment of sustainability is warranted. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12617000681358 prospectively registered 12th May 2017. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-021-01206-8.
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Affiliation(s)
- Rachel Sutherland
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia.,Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Elizabeth Campbell
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia.,Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Matthew McLaughlin
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia. .,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia. .,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia. .,Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.
| | - Nicole Nathan
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia.,Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia.,Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - David R Lubans
- Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Philip J Morgan
- Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Karen Gillham
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Chris Oldmeadow
- Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Andrew Searles
- Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Penny Reeves
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Mandy Williams
- South Western Sydney Local Health District, Locked Mail Bag, 7279, BC1871, Liverpool, NSW, Australia
| | - Nicole Evans
- Central Coast Local Health District, 4-6 Watt Street, Gosford, NSW, 2250, Australia
| | - Andrew Bailey
- Mid North Coast Local Health District, P.O. Box 126, Port Macquarie, NSW, Australia
| | - James Boyer
- New South Wales Department of Education, School Sports Unit, Level 3, 1 Oxford Street, Darlinghurst, NSW, 2010, Australia
| | - Christophe Lecathelinais
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Lynda Davies
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Tom McKenzie
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - Katie Robertson
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
| | - John Wiggers
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia.,Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia
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18
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Ahmed KR, Kolbe-Alexander T, Khan A. Effectiveness of a school-based intervention on physical activity and screen time among adolescents. J Sci Med Sport 2021; 25:242-248. [PMID: 34753667 DOI: 10.1016/j.jsams.2021.10.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 08/30/2021] [Accepted: 10/17/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To evaluate the effectiveness of a multi-component school-based intervention on physical activity (PA) and screen time (ST) among urban adolescents in Bangladesh. DESIGN Cluster-randomised controlled trial. METHODS Eight high schools were randomly assigned to either intervention group (IG) or control group (CG). Participants (n = 160 per group, 40 school) were in grades 8-9. A 12-week multi-component intervention was developed based on the WHO's Health-Promoting Schools framework. The IG received weekly supervised circuit exercise (30 min/week), health education session (10 min/week) with health educational materials, and lunchtime sports activities (20 min/week). The main outcome measures included self-reported PA, ST, knowledge on PA and SB, which were assessed at baseline, 8 and 12 weeks. Repeated measures ANCOVA was used to evaluate the intervention effects. RESULTS Total PA (MET-min/week) was increased from baseline to 8 and 12 weeks in the IG (3%-5%) but decreased in the CG (5%-3%) and significantly improved in the IG compared to the CG (p < 0.001) over time. Average ST (min/day) reduced from baseline to 8 and 12 weeks in the IG (28%-35%), while remained unchanged in the CG (6%-5%). The IG had a significantly lower average ST than the CG at 12 weeks. The average knowledge scores on PA and SB were significantly higher in the IG than the CG at 12 weeks (p < 0.001). CONCLUSIONS Our intervention has demonstrated some promising effects on increasing PA, reducing ST, and improving PA and SB knowledge. This study underscores the need for a scaled-up evaluation in other locations including rural settings.
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Affiliation(s)
- Kazi Rumana Ahmed
- School of Health & Rehabilitation Sciences, The University of Queensland, Australia.
| | - Tracy Kolbe-Alexander
- School of Health and Wellbeing, University of Southern Queensland, Australia; School of Human Movement and Nutrition Sciences, The University of Queensland, Australia; Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, South Africa.
| | - Asaduzzaman Khan
- School of Health & Rehabilitation Sciences, The University of Queensland, Australia.
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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: 70] [Impact Index Per Article: 17.5] [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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Mclaughlin M, Duff J, McKenzie T, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Evaluating Digital Program Support for the Physical Activity 4 Everyone (PA4E1) School Program: Mixed Methods Study. JMIR Pediatr Parent 2021; 4:e26690. [PMID: 34309565 PMCID: PMC8367175 DOI: 10.2196/26690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/01/2021] [Accepted: 05/30/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Effectively scaled-up physical activity interventions are urgently needed to address the high prevalence of physical inactivity. To facilitate scale-up of an efficacious school-based physical activity program (Physical Activity 4 Everyone [PA4E1]), provision of implementation support to physical education (PE) teachers was adapted from face-to-face and paper-based delivery modes to partial delivery via a website. A lack of engagement (usage and subjective experience) with digital delivery modes, including websites, may in part explain the typical reduction in effectiveness of scaled-up interventions that use digital delivery modes. A process evaluation focused on the PA4E1 website was undertaken. OBJECTIVE The 2 objectives were to (1) describe the usage of the PA4E1 program website by in-school champions (PE teachers leading the program within their schools) and PE teachers using quantitative methods; (2) examine the usage, subjective experience, and usability of the PA4E1 program website from the perspective of in-school champions using mixed methods. METHODS The first objective used website usage data collected across all users (n=273) throughout the 9 school terms of the PA4E1 implementation support. The 4 usage measures were sessions, page views, average session duration, and downloads. Descriptive statistics were calculated and explored across the duration of the 26-month program. The second objective used mixed methods, triangulating data from the first objective with data from a think-aloud survey and usability test completed by in-school champions (n=13) at 12 months. Qualitative data were analyzed thematically alongside descriptive statistics from the quantitative data in a triangulation matrix, generating cross-cutting themes using the "following a thread" approach. RESULTS For the first objective, in-school champions averaged 48.0 sessions per user, PE teachers 5.8 sessions. PE teacher sessions were of longer duration (10.5 vs 7.6 minutes) and included more page views (5.4 vs 3.4). The results from the mixed methods analysis for the second objective found 9 themes and 2 meta-themes. The first meta-theme indicated that the website was an acceptable and appropriate delivery mode, and usability of the website was high. The second meta-theme found that the website content was acceptable and appropriate, and identified specific suggestions for improvement. CONCLUSIONS Digital health interventions targeting physical activity often experience issues of lack of user engagement. By contrast, the findings from both the quantitative and mixed methods analyses indicate high usage and overall acceptability and appropriateness of the PA4E1 website to school teachers. The findings support the value of the website within a multidelivery mode implementation intervention to support schools to implement physical activity promoting practices. The analysis identified suggested intervention refinements, which may be adopted for future iterations and further scale-up of the PA4E1 program. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12617000681358; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372870.
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Affiliation(s)
- Matthew Mclaughlin
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Jed Duff
- School of Nursing and Midwifery, University of Newcastle, Callaghan, Australia
- Centre for Healthcare Transformation, Queensland University of Technology, Kelvin Grove, Australia
| | - Tom McKenzie
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Elizabeth Campbell
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
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21
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Truong K, Park S, Tsiros MD, Milne N. Physiotherapy and related management for childhood obesity: A systematic scoping review. PLoS One 2021; 16:e0252572. [PMID: 34125850 PMCID: PMC8202913 DOI: 10.1371/journal.pone.0252572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Accepted: 05/18/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Despite targeted efforts globally to address childhood overweight/obesity, it remains poorly understood and challenging to manage. Physiotherapists have the potential to manage children with obesity as they are experts in movement and physical activity. However, their role remains unclear due to a lack of physiotherapy-specific guidelines. This scoping review aims to explore existing literature, critically appraising and synthesising findings to guide physiotherapists in the evidence-based management of childhood overweight/obesity. METHOD A scoping review was conducted, including literature up to May 2020. A review protocol exists on Open Science Framework at https://osf.io/fap8g/. Four databases were accessed including PubMed, Embase, CINAHL, Medline via OVID, with grey literature searched through google via "file:pdf". A descriptive synthesis was undertaken to explore the impact of existing interventions and their efficacy. RESULTS From the initial capture of 1871 articles, 263 intervention-based articles were included. Interventions included qualitative focused physical activity, quantitative focused physical activity and multicomponent interventions. Various outcome measures were utilised including health-, performance- and behaviour-related outcomes. The general trend for physiotherapy involvement with children who are obese appears to favour: 1) multicomponent interventions, implementing more than one component with environmental modification and parental involvement and 2) quantitative physical activity interventions, focusing on the quantity of bodily movement. These approaches most consistently demonstrated desirable changes across behavioural and health-related outcome measures for multicomponent and quantitative physical activity interventions respectively. CONCLUSION When managing children with obesity, physiotherapists should consider multicomponent approaches and increasing the quantity of physical activity, given consistent improvements in various obesity-related outcomes. Such approaches are well suited to the scope of physiotherapists and their expertise in physical activity prescription for the management of childhood obesity. Future research should examine the effect of motor skill interventions and consider the role of environmental modification/parental involvement as factors contributing to intervention success.
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Affiliation(s)
- Kim Truong
- Faculty of Health Sciences and Medicine, Bond Institute of Health and Sport, Bond University, Gold Coast, Queensland, Australia
| | - Sandra Park
- Faculty of Health Sciences and Medicine, Bond Institute of Health and Sport, Bond University, Gold Coast, Queensland, Australia
| | - Margarita D. Tsiros
- UniSA Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, South Australia, Australia
| | - Nikki Milne
- Faculty of Health Sciences and Medicine, Bond Institute of Health and Sport, Bond University, Gold Coast, Queensland, Australia
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Pulling Kuhn A, Stoepker P, Dauenhauer B, Carson RL. A Systematic Review of Multi-Component Comprehensive School Physical Activity Program (CSPAP) Interventions. Am J Health Promot 2021; 35:1129-1149. [PMID: 33955278 DOI: 10.1177/08901171211013281] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To identify, review, and describe multicomponent physical activity (PA) interventions in terms of: (a) number and combination of Comprehensive School Physical Activity Program (CSPAP) components, (b) study characteristics, and (c) primary outcomes. DATA SOURCE Five electronic databases (i.e., PubMed, PsychInfo, Physical Education Index, Sport Discus, and ERIC). STUDY INCLUSION AND EXCLUSION CRITERIA Included articles were peer-reviewed, written in English language, published since 1987, and included multicomponent school-based interventions. DATA EXTRACTION Data items extracted were: school level, setting, CSPAP component description, health outcomes, academic outcomes, main conclusion, and reference. DATA SYNTHESIS Included articles were synthesized by: (1) CSPAP components utilized, and (2) research outcome measured (i.e., health or academic). RESULTS Across 32 studies, 11 included physical education plus 1 additional CSPAP component (PE + 1); 10 included PE + 2 additional CSPAP components; 8 included PE + 3 additional CSPAP components; and 1 included all 5 CSPAP components. Two other studies included 2 or 3 CSPAP components without PE. Most interventions targeted health outcomes (94%) rather than academic outcomes (6%). CONCLUSIONS Multicomponent approaches aligned with CSPAPs are effective in promoting PA and other positive outcomes for youth in schools. Future research should seek to understand effects of CSPAP components on a variety of outcomes and settings.
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Affiliation(s)
- Ann Pulling Kuhn
- Division of Growth and Nutrition, Department of Pediatrics, 12265University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Stoepker
- Department of Sport Management, Wellness, and Physical Education, 2291University of West Georgia, Carrollton, GA, USA
| | - Brian Dauenhauer
- School of Sport and Exercise Science, 3604University of Northern Colorado, Greeley, CO, USA
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Woods CB, Volf K, Kelly L, Casey B, Gelius P, Messing S, Forberger S, Lakerveld J, Zukowska J, Bengoechea EG. The evidence for the impact of policy on physical activity outcomes within the school setting: A systematic review. JOURNAL OF SPORT AND HEALTH SCIENCE 2021; 10:263-276. [PMID: 33482424 PMCID: PMC8167338 DOI: 10.1016/j.jshs.2021.01.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/24/2020] [Accepted: 11/13/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND Despite the well-established health benefits of physical activity (PA) for young people (aged 4-19 years), most do not meet PA guidelines. Policies that support PA in schools may be promising, but their impact on PA behavior is poorly understood. The aim of this systematic review was to ascertain the level and type of evidence reported in the international scientific literature for policies within the school setting that contribute directly or indirectly to increasing PA. METHODS This systematic review is compliant with Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Six databases were searched using key concepts of policy, school, evaluation, and PA. Following title and abstract screening of 2323 studies, 25 progressed to data synthesis. Methodological quality was assessed using standardized tools, and the strength of the evidence of policy impact was described based on pre-determined codes: positive, negative, inconclusive, or untested statistically. RESULTS Evidence emerged for 9 policy areas that had a direct or indirect effect on PA within the school setting. These were whole school PA policy, physical education, sport/extracurricular PA, classroom-based PA, active breaks/recess, physical environment, shared use agreements, active school transport, and surveillance. The bulk of the evidence was significantly positive (54%), 27% was inconclusive, 9% was significantly negative, and 11% was untested (due to rounding, some numbers add to 99% or 101%). Frequency of evidence was highest in the primary setting (41%), 34% in the secondary setting, and 24% in primary/secondary combined school settings. By policy area, frequency of evidence was highest for sport/extracurricular PA (35%), 17% for physical education, and 12% for whole school PA policy, with evidence for shared use agreements between schools and local communities rarely reported (2%). Comparing relative strength of evidence, the evidence for shared use agreements, though sparse, was 100% positive, while 60% of the evidence for whole school PA policy, 59% of the evidence for sport/extracurricular PA, 57% of the evidence for physical education, 50% of the evidence for PA in classroom, and 50% of the evidence for active breaks/recess were positive. CONCLUSION The current evidence base supports the effectiveness of PA policy actions within the school setting but cautions against a "one-size-fits-all" approach and emphasizes the need to examine policy implementation to maximize translation into practice. Greater clarity regarding terminology, measurement, and methods for evaluation of policy interventions is needed.
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Affiliation(s)
- Catherine B Woods
- Department of Physical Education and Sport Sciences, Health Research Institute, University of Limerick, Limerick V94 T9PX, Ireland.
| | - Kevin Volf
- Department of Physical Education and Sport Sciences, Health Research Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Liam Kelly
- Department of Physical Education and Sport Sciences, Health Research Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Bláthín Casey
- Department of Physical Education and Sport Sciences, Health Research Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Peter Gelius
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany
| | - Sven Messing
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany
| | - Sarah Forberger
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen 28359, Germany
| | - Jeroen Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health Research institute, Amsterdam UMC, VU University Amsterdam, Amsterdam 1081 HV, the Netherlands; Upstream Team, Amsterdam UMC, VU University Amsterdam, Amsterdam 1081 HV, the Netherlands
| | - Joanna Zukowska
- Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Gdańsk 80-213, Poland
| | - Enrique García Bengoechea
- Department of Physical Education and Sport Sciences, Health Research Institute, University of Limerick, Limerick V94 T9PX, Ireland
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A Higher Step Count Is Associated with the Better Evaluation of Physical Education Lessons in Adolescents. SUSTAINABILITY 2021. [DOI: 10.3390/su13084569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The current study aimed to determine: (a) the step counts of boys and girls in habitual physical education (PE) lessons during school teaching practice, (b) the association between the physical load and the evaluation of PE lessons in boys and girls, and (c) the differences in the meeting of the recommendations for PA in PE lessons between Czech and Polish boys and girls. A total of 4092 adolescents from 74 Czech and 58 Polish secondary schools participated in the study. The step counts were monitored using pedometers, while the attitudes towards PE were assessed using a PE lesson evaluation questionnaire. On average, the Czech boys reached 2476 steps (Polish boys reached 2148 steps) and the Czech girls reached 1766 steps (Polish girls reached 1946 steps) in their PE lessons. A higher step count in PE lessons was associated with higher odds of a positive evaluation of PE lessons in boys (OR = 1.35, 95% CI = 1.123–1.626, p = 0.001) and girls (OR = 1.72, 95%CI = 1.449–2.032, p < 0.001). This study provides evidence that a higher step count in PE is associated with a positive evaluation of PE lessons in boys and girls. The findings are important to support the restoration habits on a regular PA in the post-pandemic time.
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Reddy P, Dukhi N, Sewpaul R, Ellahebokus MAA, Kambaran NS, Jobe W. Mobile Health Interventions Addressing Childhood and Adolescent Obesity in Sub-Saharan Africa and Europe: Current Landscape and Potential for Future Research. Front Public Health 2021; 9:604439. [PMID: 33777878 PMCID: PMC7991289 DOI: 10.3389/fpubh.2021.604439] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 02/12/2021] [Indexed: 11/13/2022] Open
Abstract
Child and adolescent overweight is a growing public health problem globally. Europe and low and middle-income (LMIC) countries in Sub-Saharan Africa provide sufficiently suitable populations to learn from with respect to the potential for mobile health (mHealth) interventions in this area of research. The aim of this paper is to identify mHealth interventions on prevention and treatment of childhood and adolescent obesity in Sub-Saharan Africa and Sweden and report on their effects, in order to inform future research in this area. A search of peer-reviewed publications was performed using PubMed, ScienceDirect, EBSCOhost, and Scopus. The search included all articles published up to August 2019. The search strings consisted of MeSH terms related to mHealth, overweight or obesity, children, adolescents or youth and individual countries in Europe and Sub-Saharan Africa. Second, a combination of free-text words; mobile phone, physical activity, exercise, diet, weight, BMI, and healthy eating was also used. Seven studies were reported from Europe and no eligible studies from Sub-Saharan Africa. The results of this narrative review indicate a lack of research in the development and testing of mHealth interventions for childhood and adolescent obesity. There is a need for an evidence base of mHealth interventions that are both relevant and appropriate in order to stem the epidemic of overweight and obesity among children and adolescents in these countries. Uptake of such interventions is likely to be high as there is high penetrance of mobile phone technology amongst adolescents, even within poor communities in Africa.
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Affiliation(s)
- Priscilla Reddy
- Human and Social Capabilities Division, Human Sciences Research Council, Cape Town, South Africa.,Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, South Africa
| | - Natisha Dukhi
- Human and Social Capabilities Division, Human Sciences Research Council, Cape Town, South Africa
| | - Ronel Sewpaul
- Human and Social Capabilities Division, Human Sciences Research Council, Cape Town, South Africa
| | | | - Nilen Sunder Kambaran
- Analytics, Retirement, Compensation and Health Actuarial Consulting, Westlake, Cape Town, South Africa
| | - William Jobe
- Department of Informatics, University West, Trollhättan, Sweden
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Smith C, Goss HR, Issartel J, Belton S. Health Literacy in Schools? A Systematic Review of Health-Related Interventions Aimed at Disadvantaged Adolescents. CHILDREN-BASEL 2021; 8:children8030176. [PMID: 33668861 PMCID: PMC7996245 DOI: 10.3390/children8030176] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/18/2021] [Accepted: 02/23/2021] [Indexed: 02/08/2023]
Abstract
Socioeconomically disadvantaged populations are at greater risk of adopting unhealthy behaviours and developing chronic diseases. Adolescence has been identified as a crucial life stage to develop lifelong healthy behaviours, with schools often suggested as the ideal environment to foster healthy habits. Health literacy (HL) provides a possible solution to promote such healthy behaviours. The aim of this study was to review school-based HL-related interventions targeting socioeconomically disadvantaged adolescents and to identify effective intervention strategies for this population. Searches were performed in six databases. Inclusion criteria included age: 12–16; the implementation of a school-based intervention related to HL aimed at socioeconomically disadvantaged populations; an intervention focused on: physical activity (PA), diet, mental health, substance abuse or sleep. Forty-one articles were included, with the majority focusing on PA and diet (n = 13), PA (n = 9) or mental health (n = 7). Few interventions focused solely on substance abuse (n = 2) or sleep (n = 1), and none targeted or assessed HL as an outcome measure. There was huge heterogeneity in study design, outcomes measures and effectiveness reported. Effective intervention strategies were identified that can be used to guide future interventions, including practical learning activities, peer support and approaches targeting the school environment, the parents or that link the intervention to the community.
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Seral-Cortes M, De Miguel-Etayo P, Zapata P, Miguel-Berges ML, Moreno LA. Effectiveness and process evaluation in obesity and type 2 diabetes prevention programs in children: a systematic review and meta-analysis. BMC Public Health 2021; 21:348. [PMID: 33579237 PMCID: PMC7881469 DOI: 10.1186/s12889-021-10297-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 01/20/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Obesity in children is one of the most severe public health challenges of the current century and Type 2 Diabetes Mellitus (T2DM) frequency is also escalating. More so, the importance of process evaluation (PE) in complex interventions is increasingly recognized. The present review, aims to identify the effectiveness in terms of body composition parameters in a generation of articles to prevent obesity and T2DM in children. We hypothesise that those studies reporting PE applying the latest implementation guidelines suggested by the researchers would potentially show positive changes in body composition compared to those not reporting it. Additionally, we will evaluate the implementation degree of PE in those articles considering it and describe the PE subcomponents. Lastly, we aim to assess the intervention target used and its results. METHODS A literature review was performed in parallel by 2 independent reviewers. A final number of 41 studies were selected for inclusion criteria. RESULTS Meta-analysis of BMI and zBMI found non-significant effects of the proposed interventions. Sub-group analysis revealed only a significant effect in studies which performed PE. Moreover, PE was reported in 42% effective studies and 57% non-effective studies. Fidelity and satisfaction were the most implemented PE subcomponents, although there was a generally low grade of PE use (7/41). The highest proportion of effectiveness (83%) was shown in interventions of physical activity alone while the intervention most used was 3-arm target (diet, PA and BS). CONCLUSIONS Overall, obesity and T2DM prevention studies included in this review are not effective in terms of BMI and zBMI. Those studies performing PE reported to be effective in terms of BMI, while studies not reporting PE did not have positive results in terms of BMI and zBMI. In addition, none of the intervention studies included all PE indicators and most studies, which included PE in their interventions, did not provide full report of the PE components, according to the guidelines used for the present review. PROSPERO registration number: CRD42018093667.
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Affiliation(s)
- M Seral-Cortes
- Growth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria, Aragón (IIS Aragón), Universidad de Zaragoza, 50009, Zaragoza, Spain
- Department of Psychiatry and Nursing, Faculty of Health Sciences, Universidad de Zaragoza, Zaragoza, Spain
| | - P De Miguel-Etayo
- Growth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria, Aragón (IIS Aragón), Universidad de Zaragoza, 50009, Zaragoza, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.
| | - P Zapata
- Growth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria, Aragón (IIS Aragón), Universidad de Zaragoza, 50009, Zaragoza, Spain
- Departamento de nutrición y dietética, Universidad de Antioquia, Medellín, Colombia
| | - M L Miguel-Berges
- Growth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria, Aragón (IIS Aragón), Universidad de Zaragoza, 50009, Zaragoza, Spain
- Department of Psychiatry and Nursing, Faculty of Health Sciences, Universidad de Zaragoza, Zaragoza, Spain
| | - L A Moreno
- Growth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria, Aragón (IIS Aragón), Universidad de Zaragoza, 50009, Zaragoza, Spain
- Department of Psychiatry and Nursing, Faculty of Health Sciences, Universidad de Zaragoza, Zaragoza, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
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Moeini B, Rezapur-Shahkolai F, Bashirian S, Doosti-Irani A, Afshari M, Geravandi A. Effect of interventions based on regular physical activity on weight management in adolescents: a systematic review and a meta-analysis. Syst Rev 2021; 10:52. [PMID: 33557946 PMCID: PMC7871535 DOI: 10.1186/s13643-021-01602-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 01/27/2021] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Physical inactivity is one of the major risk factors for non-communicable diseases. This systematic review and meta-analysis aimed to assess the effects of educational interventions on promoting regular physical activity in adolescent weight management programs. METHODS The relevant studies indexed in Embase, Web of Science, Scopus, and ProQuest databases were searched using keywords namely "Physical Activity, Adolescent, Weight Management, Body Mass Index (BMI), Randomized Controlled Trials, and Clinical Trial." Up to the end of March 2020, two authors independently screened the papers, extracted data, and assessed the methodological quality of the studies using Effective Public Health Practice Project (EPHPP) tool. RESULTS Out of 12,944 initial studies, 14 met the inclusion criteria after screening the titles, abstracts, and full texts of the papers. The participants in these studies were aged between 6 and 18 years, and 13 studies included participants from both sexes. Moreover, eight of them were performed as a controlled clinical trial. The overall estimate of the difference showed that the interventions improved weight loss which is a statistically significant finding. The participants in the intervention group had a weight loss of 1.02 kg compared to the control group at a 95% confidence interval (- 4.794-0.222). CONCLUSION Published longitudinal data indicated that physical activity declines over the transition from adolescence to adulthood. Using the results of the study, policy-makers can design educational interventions using educational models and patterns. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration number: CRD42020173869.
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Affiliation(s)
- Babak Moeini
- Social Determinants of Health Research Center, Department of Public health, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Forouzan Rezapur-Shahkolai
- Department of Public health, School of Public health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Saeed Bashirian
- Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Amin Doosti-Irani
- Department of Epidemiology, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Maryam Afshari
- Department of Public Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Azam Geravandi
- Department of Public Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
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Frömel K, Vašíčková J, Skalik K, Svozil Z, Groffik D, Mitáš J. Physical Activity Recommendations in the Context of New Calls for Change in Physical Education. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031177. [PMID: 33525744 PMCID: PMC7908578 DOI: 10.3390/ijerph18031177] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 01/24/2021] [Accepted: 01/26/2021] [Indexed: 11/24/2022]
Abstract
The current social, health, and educational changes in society require an adequate response in school-based physical activity (PA), including physical education (PE) lessons. The objective of this study was to identify the real average step counts of Czech and Polish adolescents during PE lessons, and propose recommendations for improving PE programs. This research was carried out in 143 Czech and 99 Polish schools. In the research, a total of 4911 adolescents aged 12–18 years were analyzed as part of teaching practice and 1827 in the context of habitual school practice. Steps were monitored using pedometers. The average step count per PE lesson was 2390 in Czech and Polish boys, while girls achieved 1851 steps. In both countries, boys were subject to greater physical strain in PE lessons compared to girls, both in teaching practice (F(4088,3) = 154.49, p < 0.001, ηp2 = 0.102) and school practice (F(1552,3) = 70.66, p < 0.001, ηp2 = 0.103). Therefore, the priority in PE lessons is to increase the amount of PA for girls, achieve the objectives of PE during PA, and use wearables to improve awareness of PA and improve physical literacy, as well as to support hybrid and online PE as a complement to traditional PE.
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Affiliation(s)
- Karel Frömel
- Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 115, 77111 Olomouc, Czech Republic; (K.F.); (J.V.); (Z.S.)
- Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Mikolowska 72A, 40-065 Katowice, Poland; (K.S.); (D.G.)
| | - Jana Vašíčková
- Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 115, 77111 Olomouc, Czech Republic; (K.F.); (J.V.); (Z.S.)
| | - Krzysztof Skalik
- Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Mikolowska 72A, 40-065 Katowice, Poland; (K.S.); (D.G.)
| | - Zbyněk Svozil
- Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 115, 77111 Olomouc, Czech Republic; (K.F.); (J.V.); (Z.S.)
| | - Dorota Groffik
- Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Mikolowska 72A, 40-065 Katowice, Poland; (K.S.); (D.G.)
| | - Josef Mitáš
- Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 115, 77111 Olomouc, Czech Republic; (K.F.); (J.V.); (Z.S.)
- Correspondence: ; Tel.: +420-58-563-6745
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Taghizadeh S, Farhangi MA. The effectiveness of pediatric obesity prevention policies: a comprehensive systematic review and dose-response meta-analysis of controlled clinical trials. J Transl Med 2020; 18:480. [PMID: 33317542 PMCID: PMC7734784 DOI: 10.1186/s12967-020-02640-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 11/27/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Childhood obesity persists as a serious public health problem. In the current meta-analysis, we summarized the results of controlled trials that evaluated the effect of obesity prevention policies in children and adolescents. METHODS Three databases (SCOPUS, PubMed and Embase) were searched for studies published before the 6th April 2020, by reported outcome measures of body mass index (BMI) and BMI-Zscore. Forty-seven studies reported BMI, while 45 studies reported BMI-Zscore as final outcome. RESULTS The results showed that the obesity-prevention policies had significant effect in reducing BMI (WMD: - 0.127; CI - 0.198, - 0.056; P < 0.001). These changes were not significant for BMI-Zscore (WMD: - 0.020; CI - 0.061, 0.021; P = 0.340). In dose-response meta-analysis, a non-linear association was reported between the duration of intervention and BMI (Pnonlinearity < 0.001) as well as BMI-Zscore (Pnonlinearity = 0.023). In subgroup analysis, the more favorite results were observed for 5-10 years old, with combination of physical activity and diet as intervention materials. CONCLUSION In conclusion, the obesity prevention policies in short-term periods of less than 2 years, in rather early age of school with approaches of change in both of diet and physical activity, could be more effective in prevention of childhood obesity. Trial registration PROSPERO registration number: CRD42019138359.
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Affiliation(s)
- Shahnaz Taghizadeh
- Student Research Committee, Department of Community Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahdieh Abbasalizad Farhangi
- Drug Applied Research Center, Tabriz University of Medical Sciences, Attar Nishabouri St., POBOX: 14711, 5166614711, Tabriz, Iran.
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Buru K, Emeto TI, Malau-Aduli AEO, Malau-Aduli BS. The Efficacy of School-Based Interventions in Preventing Adolescent Obesity in Australia. Healthcare (Basel) 2020; 8:healthcare8040514. [PMID: 33255635 PMCID: PMC7711488 DOI: 10.3390/healthcare8040514] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 11/19/2020] [Accepted: 11/22/2020] [Indexed: 12/30/2022] Open
Abstract
Current trends suggest that adolescent obesity is an on-going and recurrent decimal that is still on the rise in Australia and the social burden associated with it can significantly cause low self-esteem and lack of confidence in personal body image in adulthood. Nonetheless, evidence-based prevention programs are not widely implemented in schools, even though they are commonplace for easy access to adolescents. The primary objective of this systematic review was to assess the scope and efficacy of adolescent obesity intervention strategies in Australian schools, to guide future research. Seven electronic databases were searched for peer-reviewed school-based intervention articles written in the English language and targeting 12-18-year-old adolescents. Intervention characteristics were extracted, and quality, efficacy and outcome measures were assessed utilizing thirteen studies that met the inclusion criteria for this review. Most of the Australian adolescent obesity research emanated from the State of New South Wales and none were nationwide. Five studies successfully met all the requirements in all measured outcomes, four met at least one measured outcome and the remaining four were unsuccessful. Despite the weak evidence of intervention efficacy for most of the reviewed studies, school-based interventions with multi-component combinations of physical activity, nutrition and alignment to a theory yielded promising results. Our findings point to the need for future research to assess the perceptions of school stakeholders in relation to the barriers and enablers to establishing school-based prevention and intervention programs for adolescents.
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Affiliation(s)
- Kakale Buru
- College of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia;
| | - Theophilus I. Emeto
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD 4811, Australia; (T.I.E.); (A.E.O.M.-A.)
| | - Aduli E. O. Malau-Aduli
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD 4811, Australia; (T.I.E.); (A.E.O.M.-A.)
| | - Bunmi S. Malau-Aduli
- College of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia;
- Correspondence: ; Tel.: +61-7-4781-4418
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Sanlier N, Ulusoy HG, Kocabaş S, Çelik B, Göbel P, Yilmaz S. Mediterranean Diet Adherence among Preschoolers and its Association with Parents' Beliefs, Attitudes, and Practices. Ecol Food Nutr 2020; 60:225-243. [PMID: 33048584 DOI: 10.1080/03670244.2020.1833874] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The effect of parents on nutritional habits in preschool children is undeniable. It is known that parental control in child nutrition can affect the child's eating habits, and bodyweight. Mediterranean Diet (MD) adherence of children (KIDMED), parents' beliefs, attitudes and practices (Preschool Feeding Questionnaire-PFQ2) were investigated. The questionnaire prepared was applied by researchers face-to-face to 1413 families who agreed to participate voluntarily in the research with preschool children. Parental beliefs, attitudes, and practices regarding child nutrition status of parents were evaluated using 39-item PFQ2 and their child's eating habits using the 16-item KIDMED index. Children's KIDMED scores were found optimal in 34.1%, average in 57.0%, very low in 8.9%. The KIDMED scores of children whose parents are together (6.6 ± 2.1) were found to be significantly higher than children whose parents are separated (4.9 ± 2.2) (p <.001). A correlation was found between the KIDMED scores of the children, the parental control (r = 0.156, p <.001), maternal restriction (r = 0.104, p <.001), and structured feeding (r = 0.162, p <.001). Unfortunately, the adherence of most preschool children with the MD which considered a healthy diet pattern was found below the optimal level.
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Affiliation(s)
- Nevin Sanlier
- Department of Nutrition and Dietetics, School of Health Sciences, Ankara Medipol University, Ankara, Turkey
| | - Hande Gül Ulusoy
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
| | - Sule Kocabaş
- Department of Nutrition and Dietetics, School of Health Sciences, Ankara Medipol University, Ankara, Turkey
| | - Bulent Çelik
- Department of Statistics, Faculty of Science, Gazi University, Ankara, Turkey
| | - Pınar Göbel
- Department of Nutrition and Dietetics, School of Health Sciences, Ankara Medipol University, Ankara, Turkey
| | - Sine Yilmaz
- Department of Nutrition and Dietetics, School of Health Sciences, Ankara Medipol University, Ankara, Turkey
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Hayba N, Elkheir S, Hu J, Allman-Farinelli M. Effectiveness of Lifestyle Interventions for Prevention of Harmful Weight Gain among Adolescents from Ethnic Minorities: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6059. [PMID: 32825394 PMCID: PMC7503574 DOI: 10.3390/ijerph17176059] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 08/06/2020] [Accepted: 08/10/2020] [Indexed: 01/08/2023]
Abstract
The escalating obesity among adolescents is of major concern, especially among those from an ethnic minority background. The adolescent period offers a key opportunity for the implementation of positive lifestyle behaviours as children transition to adulthood. The objective of this review was to examine the effectiveness of lifestyle interventions for adolescents and their impact in ethnic and racial minorities for the prevention of overweight and obesity. Seven electronic databases were searched from 2005 until March 2019 for randomized controlled trials of lifestyle programs conducted in this population. The main outcome was change in Body Mass Index (BMI) z-score (kg/m2) or change in BMI and secondary outcomes were changes in physical activity and diet. Thirty studies met the inclusion criteria. Seven studies reported and/or conducted subgroup analysis to determine if ethnic/racial group affected weight change. None demonstrated an overall decrease in BMI z-score. However, six of the seven demonstrated changes in secondary measures such as fruit and vegetable intake and screen time. Results did not differ by ethnic/racial group for primary and secondary outcomes. Overweight and obesity prevention among adolescents from ethnic minorities is an area that needs further research. There is a lack of interventions that include analyses of effectiveness in ethnic minorities.
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Affiliation(s)
- Nematullah Hayba
- Discipline of Nutrition and Dietetics, School of Life and Environmental Science, Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; (S.E.); (J.H.); (M.A.-F.)
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Sutherland R, Campbell E, McLaughlin M, Nathan N, Wolfenden L, Lubans DR, Morgan PJ, Gillham K, Oldmeadow C, Searles A, Reeves P, Williams M, Kajons N, Bailey A, Boyer J, Lecathelinais C, Davies L, McKenzie T, Hollis J, Wiggers J. Scale-up of the Physical Activity 4 Everyone (PA4E1) intervention in secondary schools: 12-month implementation outcomes from a cluster randomized controlled trial. Int J Behav Nutr Phys Act 2020; 17:100. [PMID: 32771011 PMCID: PMC7414665 DOI: 10.1186/s12966-020-01000-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 07/21/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND 'Physical Activity 4 Everyone' (PA4E1) was an efficacious multi-component school-based physical activity (PA) program targeting adolescents. PA4E1 has seven PA practices. It is essential to scale-up, evaluate effectiveness and assess implementation of such programs. Therefore, the aim is to assess the impact of implementation support on school practice uptake of the PA4E1 program at 12 and 24 months. METHODS A cluster randomised controlled trial, utilising a type III hybrid implementation-effectiveness design, was conducted in 49 randomly selected disadvantaged Australian Government and Catholic secondary schools. A blinded statistician randomly allocated schools to a usual practice control (n = 25) or the PA4E1 program group (n = 24), with the latter receiving seven implementation support strategies to support school PA practice uptake of the seven practices retained from the efficacy trial. The primary outcome was the proportion of schools adopting at least four of the seven practices, assessed via telephone surveys with Head Physical Education Teachers and analysed using exact logistic regression modelling. This paper reports the 12-month outcomes. RESULTS Schools were recruited from May to November 2017. At baseline, no schools implemented four of the seven practices. At 12 months significantly more schools in the program group had implemented four of the seven practices (16/24, 66.7%) than the control group (1/25, 4%) (OR = 33.0[4.15-1556.4], p < 0.001). The program group implemented on average 3.2 (2.5-3.9) more practices than the control group (p < 0.001, mean 3.9 (SD 1.5) vs 0.7 (1.0)). Fidelity and reach of the implementation support intervention were high (both > 80%). CONCLUSIONS Through the application of multiple implementation support strategies, secondary schools were able to overcome commonly known barriers to implement evidence based school PA practices. As such practices have been shown to result in an increase in adolescent PA and improvements in weight status, policy makers and practitioners responsible for advocating PA in schools should consider this implementation approach more broadly when working with schools. Follow-up is required to determine whether practice implementation is sustained. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12617000681358 registered 12th May 2017.
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Affiliation(s)
- Rachel Sutherland
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Elizabeth Campbell
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Matthew McLaughlin
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia. .,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia. .,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia.
| | - Nicole Nathan
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, NSW, Australia
| | - Philip J Morgan
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, NSW, Australia
| | - Karen Gillham
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Chris Oldmeadow
- Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Andrew Searles
- Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Penny Reeves
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Mandy Williams
- South Western Sydney Local Health District, Locked Mail Bag 7279, Liverpool BC, NSW, 1871, Australia
| | - Nicole Kajons
- Central Coast Local Health District, 4-6 Watt Street, Gosford, NSW, 2250, Australia
| | - Andrew Bailey
- Mid North Coast Local Health District, P.O. Box 126, Port Macquarie, NSW, Australia
| | - James Boyer
- New South Wales Department of Education, School Sports Unit, Level 3, 1 Oxford Street, Darlinghurst, NSW, 2010, Australia
| | - Christophe Lecathelinais
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Lynda Davies
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia
| | - Tom McKenzie
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - Jenna Hollis
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
| | - John Wiggers
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.,Hunter Medical Research Institute, Newcastle, NSW, 2300, Australia
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Dabravolskaj J, Montemurro G, Ekwaru JP, Wu XY, Storey K, Campbell S, Veugelers PJ, Ohinmaa A. Effectiveness of school-based health promotion interventions prioritized by stakeholders from health and education sectors: A systematic review and meta-analysis. Prev Med Rep 2020; 19:101138. [PMID: 32612906 PMCID: PMC7322344 DOI: 10.1016/j.pmedr.2020.101138] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/15/2020] [Accepted: 05/23/2020] [Indexed: 01/28/2023] Open
Abstract
Childhood obesity and associated modifiable risk factors exert significant burden on the health care system. The goal of this systematic review and meta-analysis was to examine the effectiveness of school-based intervention types perceived by Canadian stakeholders in health and education as feasible, acceptable and sustainable in terms of improving physical activity (PA), fruit and vegetable intake, and body weight. We searched multiple databases for studies that evaluated school-based interventions to prevent obesity and associated risk factors (i.e., unhealthy diet, physical inactivity, sedentary behaviour) in children aged 4–18 years from January 1, 2012 to January 28, 2020. From 10,871 identified records, we included 83 and 80 studies in our systematic review and meta-analysis, respectively. Comprehensive School Health (CSH) and interventions which focused on modifications to school nutrition policies showed statistically significant positive effects on fruit intake of 0.13 (95% CI: 0.04, 0.23) and 0.30 (95% CI: 0.1, 0.51) servings per day, respectively. No intervention types showed statistically significant effect on vegetable intake. CSH, modifications to physical education (PE) curriculum, and multicomponent interventions showed statistically significant difference in BMI of −0.26 (95% CI: −0.40, −0.12), −0.16 (95% CI: −0.3, −0.02), and −0.18 (95% CI: −0.29, −0.07), respectively. CSH interventions showed positive effect on step-count per day, but no other types of interventions showed significant effect on any of PA outcome measures. Thus, the results of this systematic review and meta-analysis suggest that decision-makers should carefully consider CSH, multicomponent interventions, modifications to PE curricula and school nutrition policies to prevent childhood obesity.
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Key Words
- BMI, body mass index
- CI, confidence interval
- CSH, Comprehensive School Health
- Childhood obesity prevention
- FV, fruit and vegetable
- HSAT, Healthy School Action Tools
- Health promotion
- MVPA, moderate to vigorous physical activity
- Meta-analysis
- PA, physical activity
- PE, physical education
- PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses
- RCT, randomized controlled trial
- SES, socioeconomic status
- School-based interventions
- Systematic review
- UK, United Kingdom
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Affiliation(s)
| | | | - John Paul Ekwaru
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Xiu Yun Wu
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Kate Storey
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Sandra Campbell
- John W. Scott Health Sciences Library, University of Alberta, Edmonton, Canada
| | - Paul J Veugelers
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Arto Ohinmaa
- School of Public Health, University of Alberta, Edmonton, Canada
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Mclaughlin M, Duff J, Sutherland R, Campbell E, Wolfenden L, Wiggers J. Protocol for a mixed methods process evaluation of a hybrid implementation-effectiveness trial of a scaled-up whole-school physical activity program for adolescents: Physical Activity 4 Everyone (PA4E1). Trials 2020; 21:268. [PMID: 32183902 PMCID: PMC7077014 DOI: 10.1186/s13063-020-4187-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/19/2020] [Indexed: 01/22/2023] Open
Abstract
Background Physical Activity 4 Everyone (PA4E1) is a physical activity program for secondary schools located in low-socioeconomic areas. Over a 24-month period, schools in the program arm of a cluster randomised controlled trial (n = up to 38 schools) will receive a multi-component implementation support strategy to embed the seven school physical activity practices of the PA4E1 program. This article describes the process evaluation of the PA4E1 hybrid implementation-effectiveness trial. The process evaluation aims to describe the fidelity and reach of the implementation support strategies using quantitative data; and to describe the acceptability, appropriateness and feasibility of the implementation support strategies and physical activity practices to school stakeholders using mixed methods. Methods Quantitative and qualitative data will be collected from participants (Physical Education teachers, in-School Champions, students) in the program arm. Data collection will involve semi-structured interviews, focus groups, a fidelity monitoring log, a fidelity checklist, surveys, and routinely collected administrative and website data. Quantitative data will be analysed descriptively and qualitative data will be analysed thematically within and across data sets. Triangulation between data sources will be used to synthesise findings regarding the implementation and potential mechanisms of impact of PA4E1 on school physical activity practice adoption, with respect to context. Discussion Results of the process evaluation will facilitate the interpretation of the findings of the trial outcomes. It will comprehensively describe what was actually implemented and identify the potential contribution of the various components of the implementation support strategy to the school physical activity practice adoption outcomes. Findings will inform future improvement and scale-up of PA4E1 and approaches to implementing secondary school-based physical activity programs more broadly. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12617000681358 registered 12 May 2017.
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Affiliation(s)
- Matthew Mclaughlin
- Hunter New England Population Health, Longworth Avenue, Wallsend, 2287, NSW, Australia. .,School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW, 2308, Australia. .,Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton Heights, 2305, NSW, Australia. .,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, 2308, NSW, Australia.
| | - Jed Duff
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW, 2308, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Longworth Avenue, Wallsend, 2287, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton Heights, 2305, NSW, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, 2308, NSW, Australia
| | - Elizabeth Campbell
- Hunter New England Population Health, Longworth Avenue, Wallsend, 2287, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton Heights, 2305, NSW, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, 2308, NSW, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Longworth Avenue, Wallsend, 2287, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton Heights, 2305, NSW, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, 2308, NSW, Australia
| | - John Wiggers
- Hunter New England Population Health, Longworth Avenue, Wallsend, 2287, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton Heights, 2305, NSW, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, 2308, NSW, Australia
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Yuksel HS, Şahin FN, Maksimovic N, Drid P, Bianco A. School-Based Intervention Programs for Preventing Obesity and Promoting Physical Activity and Fitness: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E347. [PMID: 31947891 PMCID: PMC6981629 DOI: 10.3390/ijerph17010347] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 12/16/2019] [Accepted: 12/23/2019] [Indexed: 01/08/2023]
Abstract
With the significant decrease in physical activity rates, the importance of intervention programs in the schools, where children spend a significant part of the day, has become indisputable. The purpose of this review is to systematically examine the possibility of school-based interventions on promoting physical activity and physical fitness as well as preventing obesity. A systematic approach adopting PRISMA statement was implemented in this study. Three different databases (2010-2019) were screened and primary and secondary school-based intervention programs measuring at least one variable of obesity, physical activity, or physical fitness were included. The risk of bias was assessed using the validated quality assessment tool for quantitative studies. Among 395 potentially related studies, 19 studies were found to meet the eligibility criteria. A general look at the studies examined reveals that among the outcomes, of which most (18/19) were examined, a significant improvement was provided in at least one of them. When the program details are examined, it can be said that the success rate of the physical activity-oriented programs is higher in all variables. School-based interventions can have important potential for obesity prevention and promotion of physical activity and fitness if they focus more on the content, quality, duration and priority of the physical activity.
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Affiliation(s)
| | - Fatma Neşe Şahin
- Faculty of Sport Sciences, Ankara University, 06830 Ankara, Turkey
| | - Nebojsa Maksimovic
- Faculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia
| | - Patrik Drid
- Faculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia
| | - Antonino Bianco
- Department of Psychology, Educational Science and Human Movement, University of Palermo, 90144 Palermo, Italy
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Liu Z, Xu HM, Wen LM, Peng YZ, Lin LZ, Zhou S, Li WH, Wang HJ. A systematic review and meta-analysis of the overall effects of school-based obesity prevention interventions and effect differences by intervention components. Int J Behav Nutr Phys Act 2019; 16:95. [PMID: 31665040 PMCID: PMC6819386 DOI: 10.1186/s12966-019-0848-8] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 09/16/2019] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Childhood obesity is a serious public health concern. School-based interventions hold great promise to combat the rising trend of childhood obesity. This systematic review aimed to assess the overall effects of school-based obesity prevention interventions, and to investigate characteristics of intervention components that are potentially effective for preventing childhood obesity. METHODS We systematically searched MEDLINE, CENTRAL and Embase databases to identify randomized- or cluster randomized- controlled trials of school-based obesity interventions published between 1990 and 2019. We conducted meta-analyses and subgroup analyses to determine the overall effects of obesity prevention programs and effect differences by various characteristics of intervention components on body mass index (BMI) or BMI Z-score of children. RESULTS This systematic review included a total of 50 trials (reported by 56 publications). Significant differences were found between groups on BMI (- 0.14 kg/m2 (95% confidence interval: - 0.21, - 0.06)) and BMI Z-score (- 0.05 (- 0.10, - 0.01)) for single-component interventions; significant differences were also found between groups on BMI (- 0.32 (- 0.54, - 0.09) kg/m2) and BMI Z-score (- 0.07 (- 0.14, - 0.001)) for multi-component interventions. Subgroup analyses consistently demonstrated that effects of single-component (physical activity) interventions including curricular sessions (- 0.30 (- 0.51, - 0.10) kg/m2 in BMI) were stronger than those without curricular sessions (- 0.04 (- 0.17, 0.09) kg/m2 in BMI); effects of single-component (physical activity) interventions were also strengthened if physical activity sessions emphasized participants' enjoyment (- 0.19 (- 0.33, - 0.05) kg/m2 in BMI for those emphasizing participants' enjoyment; - 0.004 (- 0.10, 0.09) kg/m2 in BMI for those not emphasizing participants' enjoyment). The current body of evidence did not find specific characteristics of intervention components that were consistently associated with improved efficacy for multi-component interventions (P > 0.05). CONCLUSIONS School-based interventions are generally effective in reducing excessive weight gain of children. Our findings contribute to increased understandings of potentially effective intervention characteristics for single-component (physical activity) interventions. The impact of combined components on effectiveness of multi-component interventions should be the topic of further research. More high-quality studies are also needed to confirm findings of this review.
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Affiliation(s)
- Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Han-Meng Xu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Li-Ming Wen
- School of Public Health, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Yuan-Zhou Peng
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Li-Zi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Wen-Hao Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
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Brown T, Moore TH, Hooper L, Gao Y, Zayegh A, Ijaz S, Elwenspoek M, Foxen SC, Magee L, O'Malley C, Waters E, Summerbell CD. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2019; 7:CD001871. [PMID: 31332776 PMCID: PMC6646867 DOI: 10.1002/14651858.cd001871.pub4] [Citation(s) in RCA: 312] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
EDITORIAL NOTE This Cochrane review is now out of date and should not be used for reference. It has been split into four age groups and updated. Please refer to the 5‐11 and 12‐18 age group Cochrane reviews which were published in May 2024: https://doi.org/10.1002/14651858.CD015328.pub2 https://doi.org/10.1002/14651858.CD015330.pub2 The 2‐4 age group Cochrane review is planned for publication in September 2024. BACKGROUND Prevention of childhood obesity is an international public health priority given the significant impact of obesity on acute and chronic diseases, general health, development and well-being. The international evidence base for strategies to prevent obesity is very large and is accumulating rapidly. This is an update of a previous review. OBJECTIVES To determine the effectiveness of a range of interventions that include diet or physical activity components, or both, designed to prevent obesity in children. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, PsychINFO and CINAHL in June 2015. We re-ran the search from June 2015 to January 2018 and included a search of trial registers. SELECTION CRITERIA Randomised controlled trials (RCTs) of diet or physical activity interventions, or combined diet and physical activity interventions, for preventing overweight or obesity in children (0-17 years) that reported outcomes at a minimum of 12 weeks from baseline. DATA COLLECTION AND ANALYSIS Two authors independently extracted data, assessed risk-of-bias and evaluated overall certainty of the evidence using GRADE. We extracted data on adiposity outcomes, sociodemographic characteristics, adverse events, intervention process and costs. We meta-analysed data as guided by the Cochrane Handbook for Systematic Reviews of Interventions and presented separate meta-analyses by age group for child 0 to 5 years, 6 to 12 years, and 13 to 18 years for zBMI and BMI. MAIN RESULTS We included 153 RCTs, mostly from the USA or Europe. Thirteen studies were based in upper-middle-income countries (UMIC: Brazil, Ecuador, Lebanon, Mexico, Thailand, Turkey, US-Mexico border), and one was based in a lower middle-income country (LMIC: Egypt). The majority (85) targeted children aged 6 to 12 years.Children aged 0-5 years: There is moderate-certainty evidence from 16 RCTs (n = 6261) that diet combined with physical activity interventions, compared with control, reduced BMI (mean difference (MD) -0.07 kg/m2, 95% confidence interval (CI) -0.14 to -0.01), and had a similar effect (11 RCTs, n = 5536) on zBMI (MD -0.11, 95% CI -0.21 to 0.01). Neither diet (moderate-certainty evidence) nor physical activity interventions alone (high-certainty evidence) compared with control reduced BMI (physical activity alone: MD -0.22 kg/m2, 95% CI -0.44 to 0.01) or zBMI (diet alone: MD -0.14, 95% CI -0.32 to 0.04; physical activity alone: MD 0.01, 95% CI -0.10 to 0.13) in children aged 0-5 years.Children aged 6 to 12 years: There is moderate-certainty evidence from 14 RCTs (n = 16,410) that physical activity interventions, compared with control, reduced BMI (MD -0.10 kg/m2, 95% CI -0.14 to -0.05). However, there is moderate-certainty evidence that they had little or no effect on zBMI (MD -0.02, 95% CI -0.06 to 0.02). There is low-certainty evidence from 20 RCTs (n = 24,043) that diet combined with physical activity interventions, compared with control, reduced zBMI (MD -0.05 kg/m2, 95% CI -0.10 to -0.01). There is high-certainty evidence that diet interventions, compared with control, had little impact on zBMI (MD -0.03, 95% CI -0.06 to 0.01) or BMI (-0.02 kg/m2, 95% CI -0.11 to 0.06).Children aged 13 to 18 years: There is very low-certainty evidence that physical activity interventions, compared with control reduced BMI (MD -1.53 kg/m2, 95% CI -2.67 to -0.39; 4 RCTs; n = 720); and low-certainty evidence for a reduction in zBMI (MD -0.2, 95% CI -0.3 to -0.1; 1 RCT; n = 100). There is low-certainty evidence from eight RCTs (n = 16,583) that diet combined with physical activity interventions, compared with control, had no effect on BMI (MD -0.02 kg/m2, 95% CI -0.10 to 0.05); or zBMI (MD 0.01, 95% CI -0.05 to 0.07; 6 RCTs; n = 16,543). Evidence from two RCTs (low-certainty evidence; n = 294) found no effect of diet interventions on BMI.Direct comparisons of interventions: Two RCTs reported data directly comparing diet with either physical activity or diet combined with physical activity interventions for children aged 6 to 12 years and reported no differences.Heterogeneity was apparent in the results from all three age groups, which could not be entirely explained by setting or duration of the interventions. Where reported, interventions did not appear to result in adverse effects (16 RCTs) or increase health inequalities (gender: 30 RCTs; socioeconomic status: 18 RCTs), although relatively few studies examined these factors.Re-running the searches in January 2018 identified 315 records with potential relevance to this review, which will be synthesised in the next update. AUTHORS' CONCLUSIONS Interventions that include diet combined with physical activity interventions can reduce the risk of obesity (zBMI and BMI) in young children aged 0 to 5 years. There is weaker evidence from a single study that dietary interventions may be beneficial.However, interventions that focus only on physical activity do not appear to be effective in children of this age. In contrast, interventions that only focus on physical activity can reduce the risk of obesity (BMI) in children aged 6 to 12 years, and adolescents aged 13 to 18 years. In these age groups, there is no evidence that interventions that only focus on diet are effective, and some evidence that diet combined with physical activity interventions may be effective. Importantly, this updated review also suggests that interventions to prevent childhood obesity do not appear to result in adverse effects or health inequalities.The review will not be updated in its current form. To manage the growth in RCTs of child obesity prevention interventions, in future, this review will be split into three separate reviews based on child age.
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Affiliation(s)
- Tamara Brown
- Department of Sport and Exercise Sciences, Durham University, Durham, UK
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Leser KA, Liu ST, Smathers CA, Graffagnino CL, Pirie PL. Adoption, Sustainability, and Dissemination of Chronic Disease Prevention Policies in Community-Based Organizations. Health Promot Pract 2019; 22:72-81. [PMID: 31155948 DOI: 10.1177/1524839919850757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction. Despite increasing interest in structural (policy, systems, and environmental) changes to improve health, little attention has focused on the adoption, implementation, sustainability, and potential for dissemination of these changes among local community-based organizations. Method. A mixed methods approach was used for this process evaluation. Representatives of nine community-based organizations were surveyed using closed-ended questions and in-depth qualitative interviews to describe 32 policy changes. Diffusion of Innovation theory was used to inform the development of survey questions and the interview guide. Results. Policies adopted by local community-based organizations concerned types of food/beverages provided to staff/clients, methods to encourage physical activity, breastfeeding support, and tobacco control. The majority of the policies were either fully (66%) or partially (31%) implemented 1 year after their initial adoption. In general, participants somewhat/strongly agreed that policies had characteristics that predict sustainability/diffusion (relative advantage, compatibility, complexity, trialability, observability). In-depth interview responses described a generally smooth process for policy adoption and high levels of optimism for continued sustainability but revealed few efforts to disseminate the policies beyond the original organization. Conclusions. Structural changes in community-based organizations are a valuable tool for encouraging healthy changes in communities and have great potential to be adopted, sustained, and diffused.
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Love R, Adams J, van Sluijs EMF. Are school-based physical activity interventions effective and equitable? A meta-analysis of cluster randomized controlled trials with accelerometer-assessed activity. Obes Rev 2019; 20:859-870. [PMID: 30628172 PMCID: PMC6563481 DOI: 10.1111/obr.12823] [Citation(s) in RCA: 207] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 10/26/2018] [Accepted: 11/21/2018] [Indexed: 12/30/2022]
Abstract
The prevalence of childhood obesity is increasing at epidemic rates globally, with widening inequalities between advantaged and disadvantaged groups. Despite the promise of schools as a universal context to access and influence all children, the potential of school-based interventions to positively impact children's physical activity behaviour, and obesity risk, remains uncertain. We searched six electronic databases to February 2017 for cluster randomized trials of school-based physical activity interventions. Following data extraction, authors were sent re-analysis requests. For each trial, a mean change score from baseline to follow-up was calculated for daily minutes of accelerometer-assessed moderate-to-vigorous physical activity (MVPA), for the main effect, by gender, and by socio-economic position (SEP). Twenty-five trials met the inclusion criteria; 17 trials provided relevant data for inclusion in the meta-analyses. The pooled main effect for daily minutes of MVPA was nonexistent and nonsignificant. There was no evidence of differential effectiveness by gender or SEP. This review provides the strongest evidence to date that current school-based efforts do not positively impact young people's physical activity across the full day, with no difference in effect across gender and SEP. Further assessment and maximization of implementation fidelity is required before it can be concluded that these interventions have no contribution to make.
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Affiliation(s)
- Rebecca Love
- Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jean Adams
- Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Esther M F van Sluijs
- Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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42
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Robbins LB, Ling J, Clevenger K, Voskuil VR, Wasilevich E, Kerver JM, Kaciroti N, Pfeiffer KA. A School- and Home-Based Intervention to Improve Adolescents' Physical Activity and Healthy Eating: A Pilot Study. J Sch Nurs 2018; 36:121-134. [PMID: 30068245 DOI: 10.1177/1059840518791290] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
This study evaluated feasibility, acceptability, and preliminary efficacy of a 12-week Guys/Girls Opt for Activities for Life (GOAL) intervention on 10- to 13-year-old adolescents' body mass index (BMI), percent body fat, physical activity (PA), diet quality, and psychosocial perceptions related to PA and healthy eating. Parent-adolescent dyads from two schools were enrolled. Schools were assigned to either GOAL (38 dyads) or control (43 dyads) condition. The intervention included an after-school club for adolescents 2 days/week, parent-adolescent dyad meeting, and parent Facebook group. Intervention adolescents had greater autonomous motivation for PA and self-efficacy for healthy eating than control adolescents (both p < .05). Although between-group differences were not significant, close-to-moderate effect sizes resulted for accelerometer-measured moderate-to-vigorous PA and diet quality measured via 24-hr dietary recall (d = .46 and .44, respectively). A trivial effect size occurred for percent body fat (d = -.10). No differences emerged for BMI. Efficacy testing with a larger sample may be warranted.
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Affiliation(s)
| | - Jiying Ling
- College of Nursing, Michigan State University, East Lansing, MI, USA
| | - Kimberly Clevenger
- Department of Kinesiology, Michigan State University, East Lansing, MI, USA
| | | | | | - Jean M Kerver
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Niko Kaciroti
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA.,Department of Biostatistics, Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Karin A Pfeiffer
- Department of Kinesiology, Michigan State University, East Lansing, MI, USA
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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-BASEL 2018; 5:children5060067. [PMID: 29857554 PMCID: PMC6028908 DOI: 10.3390/children5060067] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 05/27/2018] [Accepted: 05/30/2018] [Indexed: 11/16/2022]
Abstract
Regular physical activity (PA) is associated with numerous physical and psychological health benefits. Adolescents, specifically girls, are at risk of physical inactivity. To date, there is limited research on PA interventions involving peers, which could encourage more adolescent girls to engage in PA. The investigation aimed to evaluate the feasibility of a novel school three-tier peer-led mentoring model designed to improve PA levels and reduce sedentary time (ST) of adolescent girls. Two-hundred and forty-nine Year 9 adolescent girls (13⁻15 years old) from three UK secondary schools were invited to participate in a peer-led mentoring intervention (Girls Peer Activity (G-PACT) project). The peer-led mentoring model was delivered in all three schools. Two of the schools received an additional after-school PA component. PA and ST were assessed through wrist-worn accelerometry. Girls who received an exercise class after-school component significantly increased their whole day moderate-to-vigorous PA (MVPA) (3.2 min, p = 0.009, d = 0.33). Girls who received no after-school component significantly decreased their MVPA (3.5 min, p = 0.016, d = 0.36) and increased their ST (17.2 min, p = 0.006, d = 0.43). The G-PACT intervention demonstrated feasibility of recruitment and data collection procedures for adolescent girls. The peer-led mentoring model shows promise for impacting girls' MVPA levels when combined with an after-school club PA opportunity.
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Farmer VL, Williams SM, Mann JI, Schofield G, McPhee JC, Taylor RW. The effect of increasing risk and challenge in the school playground on physical activity and weight in children: a cluster randomised controlled trial (PLAY). Int J Obes (Lond) 2017; 41:793-800. [PMID: 28186099 DOI: 10.1038/ijo.2017.41] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2016] [Revised: 12/20/2016] [Accepted: 01/31/2017] [Indexed: 11/10/2022]
Abstract
BACKGROUND To investigate whether changing the play environment in primary schools to one that includes greater risk and challenge increases physical activity and reduces body mass index (BMI). SUBJECTS/METHODS A 2-year cluster randomised controlled trial was undertaken in 16 New Zealand schools (years 1-8). Intervention schools (n=8) redesigned their play environments to encourage imaginative and independent free play by increasing opportunities for risk and challenge (for example, rough-and-tumble play), reducing rules and adding new playground components (for example, loose parts). Control schools (n=8) were asked to not change their play environment. A qualified playworker rated all school play environments at baseline and 1 year. Primary outcomes were moderate-to-vigorous physical activity (7-day accelerometry) and BMI z-score, collected in 840 children at baseline, 1 and 2 years. Data were analysed using generalised estimating equations. RESULTS Multiple changes were made to the school play environments resulting in a significant difference in overall play evaluation score between intervention and control schools of 4.50 (95% confidence interval: 1.82 to 7.18, P=0.005), which represents a substantial improvement from baseline values of 19.0 (s.d. 3.2). Overall, schools liked the intervention and reported many benefits, including increased physical activity. However, these beliefs did not translate into significant differences in objectively measured physical activity, either as counts per minute (for example, 35 (-51 to 120) during lunch break) or as minutes of moderate-to-vigorous physical activity (0.4, -1.1 to 2.0). Similarly, no significant differences were observed for BMI, BMI z-score or waist circumference at 1 or 2 years (all P>0.321). CONCLUSIONS Altering the school play environment to one that promoted greater risk and challenge for children did not increase physical activity, nor subsequently alter body weight. Although schools embraced the concept of adding risk and challenge in the playground, our findings suggest that children may have been involved in different, rather than additional activities.
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Affiliation(s)
- V L Farmer
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - S M Williams
- Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand
| | - J I Mann
- Department of Medicine, University of Otago, Dunedin, New Zealand.,Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - G Schofield
- Human Potential Centre, Auckland University of Technology, Auckland, New Zealand
| | - J C McPhee
- Human Potential Centre, Auckland University of Technology, Auckland, New Zealand
| | - R W Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand
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Richmond TK, Dunn EC, Milliren CE, Evans CR, Subramanian S. Disentangling overlapping influences of neighborhoods and schools on adolescent body mass index. Obesity (Silver Spring) 2016; 24:2570-2577. [PMID: 27863090 PMCID: PMC5479485 DOI: 10.1002/oby.21672] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 07/26/2016] [Accepted: 08/03/2016] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To compare the simultaneous influence of schools and neighborhoods on adolescent body mass index (BMI). METHODS Analyzing data from a nationally representative sample of adolescents in grades 7 to 12 (n = 18,200), cross-classified multilevel modeling was used to examine the fixed and random effects of individuals, schools, and neighborhoods on adolescent BMI. Additionally, the ability of school and neighborhood demographics to explain racial/ethnic disparities in BMI was assessed. RESULTS There were 18,200 students nested in 128 schools and 2,259 neighborhoods, with 2,757 unique combinations of schools and neighborhoods. In girls, schools (vojk = 0.18, CI: 0.06-0.33) contributed twice that of neighborhoods (uojk = 0.08, CI: 0.01-0.20) to the variance in BMI, while in males, schools (uojk = 0.15, CI: 0.05-0.30) and neighborhoods (vojk = 0.16, CI: 0.05-0.31) had similar contributions. The interaction of the neighborhood and school random effects contributed significantly to the variance of male and female BMI. Characteristics of neighborhoods and schools explained a large portion of the racial/ethnic disparity in female BMI. CONCLUSIONS In an analysis of a nationally representative sample including multiple racial and ethnic groups, the BMI variance of adolescent females was associated with schools more than neighborhoods. In males, there was no difference in school or neighborhood association with BMI.
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Affiliation(s)
- Tracy K. Richmond
- Division of Adolescent Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA, USA
| | - Erin C. Dunn
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Carly E. Milliren
- Clinical Research Center, Department of Medicine, Boston Children’s Hospital, Boston, MA, USA
| | - Clare Rosenfeld Evans
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA
| | - S.V. Subramanian
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA
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Sutherland R, Reeves P, Campbell E, Lubans DR, Morgan PJ, Nathan N, Wolfenden L, Okely AD, Gillham K, Davies L, Wiggers J. 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. [PMID: 27549382 PMCID: PMC4994166 DOI: 10.1186/s12966-016-0418-2] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 08/02/2016] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Few school-based interventions have been successful in reducing physical activity decline and preventing overweight and obesity in adolescent populations. As a result, few cost effectiveness analyses have been reported. The aim of this paper is to report the cost and cost effectiveness of the Physical Activity 4 Everyone (PA4E1) intervention which was a multi-component intervention implemented in secondary schools located in low-income communities. Cost effectiveness was assessed using both the physical activity and weight status trial outcomes. METHODS Intervention and Study Design: The PA4E1 cluster randomised controlled trial was implemented in 10 Australian secondary schools (5 intervention: 5 control) and consisted of intervention schools receiving seven physical activity promotion strategies and six additional strategies that supported school implementation of the intervention components. Costs associated with physical activity strategies, and intervention implementation strategies within the five intervention schools were estimated and compared to the costs of usual physical activity practices of schools in the control group. The total cost of implementing the intervention was estimated from a societal perspective, based on the number of enrolled students in the target grade at the start of the intervention (Grade 7, n = 837). Economic Outcomes: The economic analysis outcomes were cost and incremental cost effectiveness ratios for the following: minutes of moderate-to-vigorous physical activity (MVPA) per day gained, MET hours gained per person/day; Body Mass Index (BMI) unit avoided; and 10% reduction in BMI z-score. RESULTS The intervention cost AUD $329,952 over 24 months, or AUD$394 per student in the intervention group. This resulted in a cost effectiveness ratio of AUD$56 ($35-$147) per additional minute of MVPA, AUD$1 ($0.6-$2.7) per MET hour gained per person per day, AUD$1408 ($788-$6,570) per BMI unit avoided, and AUD$563 ($282-$3,942) per 10% reduction in BMI z-score. CONCLUSION PA4E1 is a cost effective intervention for increasing the physical activity levels and reducing unhealthy weight gain in adolescence, a period in which physical activity typically declines. Additional modelling could explore the potential economic impact of the intervention on morbidity and mortality. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12612000382875.
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Affiliation(s)
- Rachel Sutherland
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287.
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia.
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305.
| | - Penny Reeves
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
| | - Elizabeth Campbell
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
| | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, Australia, 2308
| | - Philip J Morgan
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, Australia, 2308
| | - Nicole Nathan
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
| | - Luke Wolfenden
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
| | - Anthony D Okely
- Early Start Research Institute and School of Education, University of Wollongong, Wollongong, NSW, Australia, 2500
- Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia, 2522
| | - Karen Gillham
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
| | - Lynda Davies
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
| | - John Wiggers
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, Australia, 2287
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia, 2305
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