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Comeau A, Mertens B, Bachwal L, Utter J, van Herwerden L. Effectiveness of nutrition interventions in Australian secondary schools: A systematic review. Health Promot J Austr 2024; 35:567-587. [PMID: 37586361 DOI: 10.1002/hpja.787] [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: 02/10/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/18/2023] Open
Abstract
ISSUE ADDRESSED Dietary intake of Australian adolescents is suboptimal. Schools are an ideal setting for health promotion initiatives to develop healthy lifestyle behaviours among adolescents. However, we do not know which nutrition-focused, school-based interventions are effective at improving health outcomes in adolescents in Australia. Therefore, the aim was to evaluate the effect of nutrition interventions on health outcomes in Australian secondary school students. METHODS MEDLINE, EMBASE, CINAHL, ERIC and Informit were systematically searched on 4th November 2022. Studies in any language evaluating nutrition interventions implemented in Australian secondary schools were included. Studies evaluating interventions conducted in primary schools or outside the school setting were excluded, as were any grey literature, systematic reviews and meta-analyses. Screening and data extraction were performed in duplicate. Quality was assessed using the Mixed Methods Appraisal Tool. RESULTS Thirteen studies (n = 27 224) reporting on nutrition interventions implemented in Australian secondary schools were included. Studies were conducted in five different states and a capital territory within Australia and were mostly randomised controlled trials. Most studies reported a significant improvement on nutrition-related health outcome measures (dietary behaviour n = 6, nutritional knowledge and attitudes n = 4 and anthropometric n = 1). CONCLUSIONS This review found limited studies reporting on nutrition interventions in Australian secondary schools. However, most were shown to be effective in improving nutrition-related health outcomes. SO WHAT?: Since there were limited studies in peer-reviewed journals, more research in this area is needed to confirm the effectiveness of nutrition interventions in Australian secondary schools and to assess long-term effects on student's health outcomes.
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Affiliation(s)
- Abigail Comeau
- Faculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia
| | - Bradley Mertens
- Faculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia
| | - Lavanya Bachwal
- Faculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia
| | - Jennifer Utter
- Faculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia
- Department of Dietetics and Foodservices, Mater Health, Brisbane, Queensland, Australia
| | - Louise van Herwerden
- Faculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia
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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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Carayol M, Laujac S, Cholley-Gomez M, Franceschi J, Rozand A, Pallier L, Estrella JP, Vanhierde B, Guillet-Descas E, Damville E, Gavarry O, Delpierre C. Co-construct, implement and evaluate a multi-level intervention to prevent a sedentary lifestyle in children-Study protocol of the CIPRES study. PLoS One 2024; 19:e0302556. [PMID: 38722834 PMCID: PMC11081347 DOI: 10.1371/journal.pone.0302556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/04/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND A sedentary lifestyle is commonly associated with a higher risk of chronic disease development. Among school-aged children from European countries, screen-time represents a significant portion of sedentary time with 39.8% of children spending more than 2h/day in front of a screen on average. Therefore, effective solutions to reduce sedentary behavior (SB) must be found. Multilevel interventions based on the socio-ecological model (SEM) are particularly relevant to take into account influences of the social environment on individuals' SB. Moreover, the trans-contextual model (TCM) can offer complementary levers for individuals' behavior change. The CIPRES study is a theory-based multilevel intervention designed to decrease the SB in French primary school children aged 8-10 years. The present paper describes the protocol of a randomized controlled study to evaluate the effectiveness of the CIPRES multilevel intervention on SB. METHODS The CIPRES study is a cluster-randomized controlled trial comparing intervention vs control groups. A total of 700 children are targeted for inclusion, distributed in four municipalities considered as clusters. The study consists of two successive phases: 1) co-building of a SB prevention intervention by using a participatory approach involving representatives of each level of the SEM (e.g., children, parents, staff from municipalities, teachers) and 2) implementation and evaluation of the intervention. The intervention will last for 6 weeks in each involved class. Primary outcome will be the sedentary time of children per week, assessed by accelerometry. In addition, children and their parents will be asked to fill out questionnaires concerning children's physical activity level, screen time, quality-of-life and variables of the TCM. DISCUSSION This study will give information on the effectiveness of a theory-based intervention, involving multiple levels of actors in the co-construction and the implementation of the intervention, that may interest schools and public health officers looking for innovative sedentary prevention programs.
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Affiliation(s)
- Marion Carayol
- IAPS Laboratory “Impact of Physical Activity on Health”, University of Toulon, Toulon, France
| | - Steven Laujac
- IAPS Laboratory “Impact of Physical Activity on Health”, University of Toulon, Toulon, France
- Centre Hospitalier Intercommunal Toulon-La Seyne sur Mer, Hôpital Sainte Musse, Toulon, France
| | - Marie Cholley-Gomez
- Laboratory Epsylon EA4556, Université Paul Valéry Montpellier & Epidaure - Institut du Cancer, Montpellier, France
| | - Josselin Franceschi
- Comity of Health Education of Var Department (CODES 83), Toulon-La Garde, France
| | - Axel Rozand
- Comity of Health Education of Var Department (CODES 83), Toulon-La Garde, France
| | - Laurence Pallier
- Comity of Health Education of Var Department (CODES 83), Toulon-La Garde, France
| | - Jean-Pierre Estrella
- Directorate of Departmental Services of National Education of Var (DSDEN 83), Academy of Nice, France
| | - Bruno Vanhierde
- Directorate of Departmental Services of National Education of Var (DSDEN 83), Academy of Nice, France
| | - Emma Guillet-Descas
- Laboratory on Vulnerabilities and Innovation in Sport, Université Claude Bernard Lyon1, Villeurbanne, France
| | - Emmanuel Damville
- Centre Hospitalier Spécialisé Pierrefeu du Var, Hôpital Henri Guérin, Pierrefeu-du-Var, France
| | - Olivier Gavarry
- IAPS Laboratory “Impact of Physical Activity on Health”, University of Toulon, Toulon, France
| | - Cyrille Delpierre
- EQUITY Team, CERPOP UMR 1295, Inserm-Université Toulouse III, Toulouse, France
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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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Flores-Vázquez AS, Rodríguez-Rocha NP, Herrera-Echauri DD, Macedo-Ojeda G. A systematic review of educational nutrition interventions based on behavioral theories in school adolescents. Appetite 2024; 192:107087. [PMID: 37865297 DOI: 10.1016/j.appet.2023.107087] [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: 06/12/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023]
Abstract
The purpose of this study was to summarize the evidence from studies conducted on adolescents, evaluating educational nutrition interventions for the modification of food consumption through controlled trials based on behavior change theories or models and implemented in school settings. A systematic search was carried out through PubMed and ERIC databases between November and December 2020, and updated in February 2023; English-language keywords were used, and no publication date limits were applied. Two authors independently performed the search, data extraction, data synthesis and risk of bias assessment. Twelve studies meeting the inclusion criteria were included. The interventions were based on different theories; the most used was the Social Cognitive Theory. Eleven of the twelve studies showed favorable modifications in the consumption of at least two of the food groups. Most studies were at low risk of bias, and only one was classified as high risk. It is concluded that educational nutrition interventions based on behavior change theories/models and implemented in the school setting influence positive changes in adolescents eating behavior.
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Affiliation(s)
- Ana Silvia Flores-Vázquez
- Department of Human Reproduction, Growth and Child Development, University Center of Health Sciences, University of Guadalajara, Hospital 320, El Retiro, Guadalajara, Jalisco, ZC 44100, Mexico.
| | - Norma Patricia Rodríguez-Rocha
- Public Health Department, University Center of Health Sciences, University of Guadalajara, Sierra Mojada 950, Independencia, Guadalajara, Jalisco, ZC 44340, Mexico; Regional Institute for Public Health Research, University of Guadalajara, Sierra Mojada 950, Independencia, Guadalajara, Jalisco, ZC 44340, Mexico.
| | - Dulce Daniela Herrera-Echauri
- Public Health Department, University Center of Health Sciences, University of Guadalajara, Sierra Mojada 950, Independencia, Guadalajara, Jalisco, ZC 44340, Mexico.
| | - Gabriela Macedo-Ojeda
- Public Health Department, University Center of Health Sciences, University of Guadalajara, Sierra Mojada 950, Independencia, Guadalajara, Jalisco, ZC 44340, Mexico; Biomedical Science Research Institute, University of Guadalajara, Sierra Mojada 950, Independencia, Guadalajara, Jalisco, ZC 44340, Mexico.
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McLoughlin GM, Graber KC. The Contribution of Physical Education to Physical Activity Within a Comprehensive School Health Promotion Program. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2021; 92:669-679. [PMID: 32809917 DOI: 10.1080/02701367.2020.1765952] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 05/04/2020] [Indexed: 06/11/2023]
Abstract
Purpose: Little is known about the role of physical education (PE) in a school health promotion model, particularly where wellness is placed at the forefront. The purpose of this study was to understand how PE contributes to the overall amount of moderate to vigorous physical activity (MVPA) that children receive in a school recognized for health promotion. Methods: As part of an in-depth case study, participants in grades 4-8 (N = 105) wore ActiGraph wGT3X+ accelerometers over 7 days to assess activity levels. Data were scored using ActiLife software. Using SPSS statistics software, students were grouped into low, moderate, and high activity through calculating tertile splits of average daily MVPA. Two 2 × 2 ANCOVA (sex x activity level) tests were conducted to determine the ratio of MVPA in PE to school and daily MVPA, controlling for age. Results: Participants accrued 8 min MVPA on average during PE with differences among low (6.4 ± 2.5), moderate (8.3 ± 3.7), and highly active participants (10.1 ± 4.0). ANCOVA analyses revealed non-significant interactions between sex and activity level explaining variance in contribution of PE to school MVPA (F(2, 99) = .235, p = .791, partial ŋ2 = .005) and daily MVPA (F(2, 99) = .299, p = .742, partial ŋ2 = .006), but significant main effects between high and low activity for daily MVPA were observed F(2, 99) = 5.118 p = .008, partial ŋ2 = .094. Conclusions: PE remains a priority in supporting children's PA, particularly for those least active. Despite relatively low levels of MVPA, findings provide rationale for policy change supporting more frequent PE in schools.
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Kennedy SG, Smith JJ, Estabrooks PA, Nathan N, Noetel M, Morgan PJ, Salmon J, Dos Santos GC, Lubans DR. Evaluating the reach, effectiveness, adoption, implementation and maintenance of the Resistance Training for Teens program. Int J Behav Nutr Phys Act 2021; 18:122. [PMID: 34496861 PMCID: PMC8425054 DOI: 10.1186/s12966-021-01195-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 08/25/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Physical activity guidelines recommend young people engage in regular muscle-strengthening activities (e.g., resistance training [RT]). However, few school-based physical activity interventions have been delivered at-scale or promoted RT. The aim of this study was to evaluate the reach, effectiveness, adoption, implementation and maintenance of the Resistance Training for Teens (RT for Teens) program. METHODS Data were collected between August 2015 and October 2020. RE-AIM was operationalized as: (i) Reach: number and characteristics of students estimated to be exposed to the program; (ii) Effectiveness: impact of the program on student-level outcomes measured in a subsample of 750 students from 17 schools; (iii) Adoption: number and representativeness of schools with one or more teachers trained to deliver the program; (iv) Implementation: extent to which the program was delivered as intended; and (v) Maintenance: extent to which the program was sustained in schools. RESULTS The estimated program reach was ~ 10,000 students, out of a total student population of ~ 200,000 (~ 5%). Students were from diverse socioeconomic and ethnic backgrounds. Improvements in muscular fitness, RT self-efficacy, perceived cardiorespiratory fitness and flexibility, and participation in muscle-strengthening physical activities were documented. A total of 30 workshops were delivered, involving 468 teachers from 249 schools from diverse geographical regions. Implementation varied considerably, with teachers adapting the program to suit the context of their school and student cohorts. However, RT skill development and the promotion of muscular fitness were the session components delivered most during sessions. Teachers' adherence to the SAAFE (Supportive, Active, Autonomous, Fair and Enjoyable) teaching principles was high. Approximately 30% of teachers (144/476) registered to use the RT for Teens app. At the school-level, 37% (93/249) of schools had at least one registered user (teacher and/or student). A total of 2,336 workouts and 3,116 fitness tests were completed by registered users. Of the 249 schools represented, 51 (20.5%) sent an additional (previously untrained) teacher to a second workshop. CONCLUSIONS The RT for Teens program had broad reach and adoption. However, intervention delivery varied considerably across schools and additional support strategies are required to optimize intervention implementation and maintain program delivery over time. Future studies will benefit from the utilization of accepted frameworks, recommendations and guidelines for implementation research. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ACTRN12621000352808), retrospectively registered 1st February 2021.
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Affiliation(s)
- Sarah G Kennedy
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, Australia
| | - Jordan J Smith
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, Australia
| | - Paul A Estabrooks
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, USA
| | - Nicole Nathan
- National Centre of Implementation Science, University of Newcastle, Callaghan, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Mike Noetel
- Institute for Positive Psychology and Education, Australian Catholic University, Sydney, NSW, Australia
| | - Philip J Morgan
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia
| | - Gessika C Dos Santos
- Post-Graduate Program in Physical Education Associate UEM/UEM, State University of Londrina, Londrina, Brazil
| | - David R Lubans
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, Australia.
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Srivastav P, Broadbent S, K V, Nayak B, Bhat HV. Prevention of adolescent obesity: The global picture and an indian perspective. Diabetes Metab Syndr 2020; 14:1195-1204. [PMID: 32673840 DOI: 10.1016/j.dsx.2020.06.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND AIMS Adolescent obesity is an increasing health burden with a growing prevalence in low- and middle-income countries. The aim of this review is to assess and compare current best practice obesity prevention interventions for adolescents in developed nations and in India METHODS: Medline (PubMed), CINAHL, Scopus and Google Scholar electronic databases from 2000 to 2020 were searched using the key terms obesity, overweight, child and adolescent obesity, child and adolescent overweight, interventions for childhood and adolescent obesity and dietary interventions for adolescents, developed countries, and India. RESULTS Developed nations worldwide have formed and implemented policies and programs at national and local levels to attempt to minimize and manage adolescent obesity. In 2019, scientific and government consultation groups in India have recommended national cross-sectoral structures to action interventions to restrict high-fat food intake, increase physical activity in children and adolescents and to link current research and school-based interventions in a national framework. CONCLUSIONS Obesity is a multifactorial problem, and multimodal interventions involving all Indian stakeholders, combined with government policy reform, are urgently needed.
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Affiliation(s)
- Prateek Srivastav
- Department of Physiotherapy, Manipal college of health professions, Manipal Academy of Higher Education, Manipal, India.
| | - Suzanne Broadbent
- School of Health & Sports Science, University of the Sunshine Coast, Queensland, Australia
| | - Vaishali K
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
| | - Baby Nayak
- Department of Child Health Nursing, Manipal College of Nursing, Manipal Academy of Higher Education, Manipal, India
| | - H Vinod Bhat
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India
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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: 1.3] [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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St George SM, Agosto Y, Rojas LM, Soares M, Bahamon M, Prado G, Smith JD. A developmental cascade perspective of paediatric obesity: A systematic review of preventive interventions from infancy through late adolescence. Obes Rev 2020; 21:e12939. [PMID: 31808277 PMCID: PMC6980892 DOI: 10.1111/obr.12939] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 07/31/2019] [Accepted: 08/07/2019] [Indexed: 01/03/2023]
Abstract
The goals of this systematic review were to identify and describe paediatric obesity prevention interventions from infancy to late adolescence and to provide recommendations for future intervention research in light of a recently proposed developmental cascade (DC) model of paediatric obesity. We conducted an electronic search of randomized controlled trials with a minimum 6-month postintervention follow-up published between 1995 and 2019. We included 74 interventions: prenatal/infancy (n = 4), early childhood (n = 11), childhood (n = 38), early to mid-adolescence (n = 18), and late adolescence (n = 3). Infancy and early childhood trials targeted early feeding and positive parenting skills. Half of the childhood and adolescence trials were school based and used universal prevention strategies; those classified as selective or indicated prevention tended to involve the family for more intensive lifestyle modification. Less than 10% of studies followed participants over long periods of time (greater than or equal to 5 years), and only 16% and 31% of studies assessed intervention mediators and moderators, respectively. We recommend that future interventions focus on early prevention, assess long-term intervention effects, use a standardized taxonomy for defining intervention behavioural strategies, assess underlying mechanisms of action and intervention moderators, target parent and family management strategies across development, and increase scientific equity. We also provide specific recommendations regarding intervention targets for each developmental stage.
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Affiliation(s)
- Sara M St George
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida
| | - Yaray Agosto
- Department of Health Promotion and Disease Prevention, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida
| | - Lourdes M Rojas
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida
| | - Mary Soares
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida
| | - Monica Bahamon
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida
| | - Guillermo Prado
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida
| | - Justin D Smith
- Department of Psychiatry and Behavioral Sciences, Department of Preventive Medicine, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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11
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The Importance of Self-Monitoring for Behavior Change in Youth: Findings from the SWITCH ® School Wellness Feasibility Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16203806. [PMID: 31658604 PMCID: PMC6843670 DOI: 10.3390/ijerph16203806] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 09/22/2019] [Accepted: 10/02/2019] [Indexed: 12/05/2022]
Abstract
School Wellness Integration Targeting Child Health (SWITCH®) is a school wellness implementation initiative focused on building capacity for schools to plan and coordinate wellness programming. Grounded in Social Cognitive Theory (SCT), the purpose of this study was to evaluate the utility of the web-based, self-regulation system on physical activity (PA) behavior outcomes. At pre-test and post-test, students in SWITCH® schools (n = 8) completed the online Youth Activity Profile (YAP) to assess PA and sedentary behavior (SB). Students (n = 513) were categorized into high or low self-monitoring groups (using a median split) based on their use of the web-based self-regulation platform. Linear mixed models were used to assess differences in moderate-to-vigorous PA (MVPA) and sedentary behavior, with school, classroom, student, time-by-school, and time-by-classroom random effects and main and interaction fixed effects for student self-monitoring, gender, and time. Significant self-monitoring-by-time interactions were observed for estimates of PA F(1, 477) = 5.55, p = 0.02 and SB F(1, 477) = 4.90, p = 0.03. Students in the high self-monitoring group had larger gains in PA per day and larger declines in hours per day of sedentary screen time behavior compared to students in the low self-monitoring group. These findings support the utility of web-based self-regulation for facilitating PA change in youth.
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12
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Kim J, Kim YM, Jang HB, Lee HJ, Park SI, Park KH, Lim H. Evidence-based Nutritional Intervention Protocol for Korean Moderate-Severe Obese Children and Adolescents. Clin Nutr Res 2019; 8:184-195. [PMID: 31384597 PMCID: PMC6675960 DOI: 10.7762/cnr.2019.8.3.184] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 07/23/2019] [Accepted: 07/24/2019] [Indexed: 12/30/2022] Open
Abstract
Diet-related behavioral modification for healthy eating and lifestyle is required to improve childhood obesity. The present study aimed to develop customized nutritional intervention protocol and education program to find barriers to adhere healthy diet and lifestyle for moderate to severe obese children and adolescents and their families. Theoretical framework approaches can be used to change behavior and achieve goals. Previous studies that described the relationship between behavioral modification and nutrition education theory were reviewed. The social cognitive theory and transtheoretical model were employed with behavioral changes to target a healthful diet and lifestyle. The nutrition care process (NCP) model was adopted to customize nutrition care for the participants. Customized nutritional intervention protocol was developed following as the four steps of the NCP. Firstly, nutrition status of the participants was assessed by the nutrition expert. Nutrition problems were described as "inadequate energy intake," "overweight/obesity," or "food and nutrition-related knowledge deficit." All nutrition sessions were designed for nutrition intervention to give nutritional knowledge and a practical mission in real life for individual goal setting and self-control. Meal planning, portion control, healthy snack selection and cooking with fruits and vegetables were consisted of five components of the nutrition education session. During each session, the participants and their families were interviewed by a nutrition expert for monitoring and evaluating diet-related goal setting and achievement. A theoretical and evidence-based nutritional intervention was developed for the secondary to tertiary prevention of childhood obesity. This nutrition intervention protocol and program might be helpful for the further research on childhood obesity. Trial Registration Clinical Research Information Service Identifier: KCT0002111.
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Affiliation(s)
- Jieun Kim
- Department of Medical Nutrition, Kyung Hee University, Yongin 17104, Korea.,Research Institute of Medical Nutrition, Kyung Hee University, Seoul 02447, Korea
| | - Yoon Myung Kim
- Department of Sports Industry Studies, Yonsei University International Campus, Incheon 21983, Korea
| | - Han Byul Jang
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju 28159, Korea
| | - Hye-Ja Lee
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju 28159, Korea
| | - Sang Ick Park
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju 28159, Korea
| | - Kyung-Hee Park
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang 14068, Korea
| | - Hyunjung Lim
- Department of Medical Nutrition, Kyung Hee University, Yongin 17104, Korea.,Research Institute of Medical Nutrition, Kyung Hee University, Seoul 02447, Korea
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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: 275] [Impact Index Per Article: 55.0] [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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Böhm B, Karwiese SD, Böhm H, Oberhoffer R. Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review. JMIR Mhealth Uhealth 2019; 7:e8298. [PMID: 31038460 PMCID: PMC6658241 DOI: 10.2196/mhealth.8298] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 06/18/2018] [Accepted: 02/07/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Children and adolescents do not meet the current recommendations on physical activity (PA), and as such, the health-related benefits of regular PA are not achieved. Nowadays, technology-based programs represent an appealing and promising option for children and adolescents to promote PA. OBJECTIVE The aim of this review was to systematically evaluate the effects of mobile health (mHealth) and wearable activity trackers on PA-related outcomes in this target group. METHODS Electronic databases such as the Cochrane Central Register of Controlled Trials, PubMed, Scopus, SPORTDiscus, and Web of Science were searched to retrieve English language articles published in peer-reviewed journals from January 2012 to June 2018. Those included were articles that contained descriptions of interventions designed to increase PA among children (aged 6 to 12 years) only, or adolescents (aged 13 to 18 years) only, or articles that include both populations, and also, articles that measured at least 1 PA-related cognitive, psychosocial, or behavioral outcome. The interventions had to be based on mHealth tools (mobile phones, smartphones, tablets, or mobile apps) or wearable activity trackers. Randomized controlled trials (RCTs) and non-RCTs, cohort studies, before-and-after studies, and cross-sectional studies were considered, but only controlled studies with a PA comparison between groups were assessed for methodological quality. RESULTS In total, 857 articles were identified. Finally, 7 studies (5 with tools of mHealth and 2 with wearable activity trackers) met the inclusion criteria. All studies with tools of mHealth used an RCT design, and 3 were of high methodological quality. Intervention delivery ranged from 4 weeks to 12 months, whereby mainly smartphone apps were used as a tool. Intervention delivery in studies with wearable activity trackers covered a period from 22 sessions during school recess and 8 weeks. Trackers were used as an intervention and evaluation tool. No evidence was found for the effect of mHealth tools, respectively wearable activity trackers, on PA-related outcomes. CONCLUSIONS Given the small number of studies, poor compliance with accelerometers as a measuring instrument for PA, risk of bias, missing RCTs in relation to wearable activity trackers, and the heterogeneity of intervention programs, caution is warranted regarding the comparability of the studies and their effects. There is a clear need for future studies to develop PA interventions grounded on intervention mapping with a high methodological study design for specific target groups to achieve meaningful evidence.
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Affiliation(s)
- Birgit Böhm
- Institute of Preventive Pediatrics, Technical University of Munich, Munich, Germany
| | - Svenja D Karwiese
- Institute of Preventive Pediatrics, Technical University of Munich, Munich, Germany
| | - Harald Böhm
- Orthopaedic Hospital for Children, Behandlungszentrum Aschau GmbH, Aschau im Chiemgau, Germany
| | - Renate Oberhoffer
- Institute of Preventive Pediatrics, Technical University of Munich, Munich, Germany
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Leme ACB, Philippi ST, Thompson D, Nicklas T, Baranowski T. "Healthy Habits, Healthy Girls-Brazil": an obesity prevention program with added focus on eating disorders. Eat Weight Disord 2019; 24:107-119. [PMID: 29730727 DOI: 10.1007/s40519-018-0510-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 04/24/2018] [Indexed: 12/21/2022] Open
Abstract
PURPOSE To evaluate the immediate post-intervention and 6-month post-intervention effects of a Brazilian school-based randomized controlled trial for girls targeting shared risk factors for obesity and disordered eating. METHODS Total of 253 girls, mean of 15.6 (0.05) years from 1st to 3rd grades of high school participated in this 6-month school-based cluster randomized controlled trial. "Healthy Habits, Healthy Girls-Brazil (H3G-Brazil)", originally developed in Australia, emphasized 10 key nutrition and physical activity (PA) messages delivered over 6 months. Disordered eating prevention procedures, i.e., prevention of weight-teasing, body satisfaction, and unhealthy weight control behavior, were added to the intervention. Body dissatisfaction, unhealthy weight control behaviors and social cognitive-related diet, and physical activity variables were assessed at baseline, immediate post-intervention, and 6-month post-intervention. Intervention effects were determined by one-way analysis of covariance or logistic regression, after checking for the clustering effects of school. The control group did not receive intervention prior to follow-up assessment. A conservative significance level was set at p < 0.01. RESULTS Beneficial effects were detected for PA social support (F = 6.005, p = 0.01), and healthy eating strategies (F = 6.08, p = 0.01) immediate post-intervention; and healthy eating social support (F = 14.731, p = 0.00) and healthy eating strategies (F = 5.812, p = 0.01) at 6-month post-intervention. Intervention group was more likely to report unhealthy weight control behaviors (OR = 1.92, 95% CI 1.15-3.21, p = 0.01) at 6-month post-intervention. No other significant immediate or 6-month post effects were detected. CONCLUSION H3G-Brazil demonstrated positive 6-month effects on some social cognitive variables but an adverse effect on unhealthy weight control behaviors. Thus, this study was not able to achieve synergy by combining obesity and disordered eating prevention procedures in an intervention among low-income girls in Brazil. TRIAL REGISTRATION Level I: cluster randomized controlled trial.
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Affiliation(s)
- Ana Carolina Barco Leme
- Children's Nutrition Research Center, Baylor College of Medicine, Houston, USA. .,Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
| | | | - Debbe Thompson
- Children's Nutrition Research Center, Baylor College of Medicine, Houston, USA
| | - Theresa Nicklas
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Tom Baranowski
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
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Cabrita M, Op den Akker H, Tabak M, Hermens HJ, Vollenbroek-Hutten MMR. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. J Biomed Inform 2018; 84:17-30. [PMID: 29935348 DOI: 10.1016/j.jbi.2018.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 06/06/2018] [Accepted: 06/13/2018] [Indexed: 12/30/2022]
Abstract
The age of the population worldwide is rapidly increasing, bringing social and economic challenges. Persuasive technology can alleviate the burden on traditional healthcare services when used to support healthy behaviors, for instance in the prevention and treatment of chronic diseases. Additionally, healthy behaviors are key factors for active and healthy ageing by delaying or even reversing functional decline. In this manuscript, we present a multi-perspective analysis of technologies that can be used in the support of active and healthy ageing in the daily life. First, we take the perspective of physical and mental health, by focusing on the promotion of physical activity and emotional wellbeing. From a temporal perspective, we look at how technology evolved from past, present and future. The overview of the literature is structured in four main sections: (1) measurement of current behavior (monitoring), (2) analysis of the data gathered to derive meaningful information (analyzing & reasoning), (3) support the individual in the adoption or maintenance of a behavior (coaching), and (4) tools or interfaces that provide the information to the individual to stimulate the desired behavior (applications). Finally, we provide recommendations for the design, development and implementation of future technological innovations to support Active and Healthy Ageing in daily life.
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Affiliation(s)
- Miriam Cabrita
- Telemedicine Group, Roessingh Research and Development, P.O. Box 310, 7522 AH Enschede, The Netherlands; Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
| | - Harm Op den Akker
- Telemedicine Group, Roessingh Research and Development, P.O. Box 310, 7522 AH Enschede, The Netherlands.
| | - Monique Tabak
- Telemedicine Group, Roessingh Research and Development, P.O. Box 310, 7522 AH Enschede, The Netherlands; Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
| | - Hermie J Hermens
- Telemedicine Group, Roessingh Research and Development, P.O. Box 310, 7522 AH Enschede, The Netherlands; Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
| | - Miriam M R Vollenbroek-Hutten
- Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
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Leme ACB, Baranowski T, Thompson D, Nicklas T, Philippi ST. Sustained impact of the "Healthy Habits, Healthy Girls - Brazil" school-based randomized controlled trial for adolescents living in low-income communities. Prev Med Rep 2018; 10:346-352. [PMID: 29868390 PMCID: PMC5984243 DOI: 10.1016/j.pmedr.2018.04.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2017] [Revised: 04/03/2018] [Accepted: 04/19/2018] [Indexed: 12/14/2022] Open
Abstract
Pediatric obesity is a major public health concern in low- and middle-income countries, such as Brazil. There is an urgent need for preventive programs for adolescents and, the assessment of their sustained impact. This paper reports the longer-term (6-month post intervention) effects of the "H3G-Brazil" obesity prevention program on weight status and weight-related behaviors. A cluster randomized controlled trial starting with 10 public schools in the city of São Paulo, Brazil involved 253 adolescent girls [mean (se) age = 15.6 (0.87) years]. Body mass index (BMI), waist circumference (WC), dietary intake, physical activity (PA) and sedentary behaviors (SB) were assessed at baseline, immediate post-intervention and 6-month post-intervention (follow-up). ANCOVA was performed using intention to treat principles. There was no effect on BMI, the primary outcome. Although, meaningful increases occurred in waist circumference for both groups, the intervention group presented a lower increase (F = 3.31, p = 0.04). This effect size, however, was lower than the criterion for small (d = 0.102). Unfortunately, significant results favored the control group for time spent on TV/weekdays (F = 5.13, p = 0.01), TV/weekends (F = 5.46, p = 0.01) and sedentary behaviors/weekdays (F = 5.32, p = 0.04). No other significant results were found. This obesity prevention intervention among Brazilian adolescent girls did not have the desire effect on BMI. The significantly lower increase in waist circumference in the intervention groups is inconsistent with the adverse changes detected in sedentary time.
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Affiliation(s)
- Ana Carolina Barco Leme
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Department of Pediatrics, Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Tom Baranowski
- Department of Pediatrics, Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Debbe Thompson
- Department of Pediatrics, USDA/Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Theresa Nicklas
- Department of Pediatrics, Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
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Henry JL, Trude ACB, Surkan PJ, Anderson Steeves E, Hopkins LC, Gittelsohn J. Psychosocial Determinants of Food Acquisition and Preparation in Low-Income, Urban African American Households. HEALTH EDUCATION & BEHAVIOR 2018; 45:898-907. [PMID: 29589482 DOI: 10.1177/1090198118760686] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Psychosocial factors are important determinants of health behaviors and diet-related outcomes, yet relatively little work has explored their relation to food-purchasing and preparation behaviors in low-income populations. AIM To evaluate the psychosocial factors associated with food-related behaviors. METHODS Cross-sectional data collected from 465 low-income African American adult caregivers in the baseline evaluation of the B'more Healthy Communities for Kids obesity prevention trial. Questionnaires were used to assess household sociodemographic characteristics, food sources frequently used, and food preparation and food acquisition behaviors. Multiple linear regression models explored the associations between caregiver psychosocial variables and food-related behaviors, controlling for caregivers' age, sex, household income, household size, and food assistance participation. RESULTS Caregivers purchased prepared food at carry-outs on average 3.8 times (standard deviation [ SD] = 4.6) within 30 days. Less healthy foods were acquired 2 times more frequently than healthier foods ( p < .001). Higher food-related behavioral intention and self-efficacy scores were positively associated with healthier food acquisition (β = 0.7; 95% confidence interval [CI] [0.09, 1.4]; β = 0.04; 95% CI [0.02, 0.06]) and negatively associated with frequency of purchasing at prepared food sources (β = -0.4; 95% CI [-0.6, -0.2]; β = -0.5; 95% CI [-0.7, -0.3]), respectively. Higher nutrition knowledge was associated with lower frequency of purchasing food at prepared food venues (β = -0.7; 95% CI: [-1.2, -0.2]). DISCUSSION Our findings indicate a positive association between psychosocial determinants and healthier food acquisition and food preparation behaviors. CONCLUSION Interventions that affect psychosocial factors (i.e., food-related behavioral intentions and self-efficacy) may have the potential to increase healthier food preparation and food-purchasing practices among low-income African American families.
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Affiliation(s)
| | - Angela C B Trude
- 2 Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Pamela J Surkan
- 2 Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Joel Gittelsohn
- 2 Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Rose T, Barker M, Jacob C, Morrison L, Lawrence W, Strömmer S, Vogel C, Woods-Townsend K, Farrell D, Inskip H, Baird J. A Systematic Review of Digital Interventions for Improving the Diet and Physical Activity Behaviors of Adolescents. J Adolesc Health 2017; 61:669-677. [PMID: 28822682 PMCID: PMC5702542 DOI: 10.1016/j.jadohealth.2017.05.024] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 05/08/2017] [Accepted: 05/18/2017] [Indexed: 02/03/2023]
Abstract
Many adolescents have poor diet and physical activity behaviors, which can lead to the development of noncommunicable diseases in later life. Digital platforms offer inexpensive means of delivering health interventions, but little is known about their effectiveness. This systematic review was conducted to synthesize evidence on the effectiveness of digital interventions to improve diet quality and increase physical activity in adolescents, to effective intervention components and to assess the cost-effectiveness of these interventions. Following a systematic search, abstracts were assessed against inclusion criteria, and data extraction and quality assessment were performed for included studies. Data were analyzed to identify key features that are associated with significant improvement in behavior. A total of 27 studies met inclusion criteria. Most (n = 15) were Web site interventions. Other delivery methods were text messages, games, multicomponent interventions, emails, and social media. Significant behavior change was often seen when interventions included education, goal setting, self-monitoring, and parental involvement. None of the publications reported cost-effectiveness. Due to heterogeneity of studies, meta-analysis was not feasible.It is possible to effect significant health behavior change in adolescents through digital interventions that incorporate education, goal setting, self-monitoring, and parental involvement. Most of the evidence relates to Web sites and further research into alternate media is needed, and longer term outcomes should be evaluated. There is a paucity of data on the cost-effectiveness of digital health interventions, and future trials should report these data.
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Affiliation(s)
- Taylor Rose
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom.
| | - Mary Barker
- MRC Lifecourse Epidemiology Unit (University of Southampton),
Southampton General Hospital, Southampton UK SO16 6YD,NIHR Southampton Biomedical Research Centre, University Hospital
Southampton NHS Foundation Trust, University of Southampton, Southampton UK SO16
6YD
| | - Chandni Jacob
- Academic Unit of Human Development and Health, Faculty of Medicine,
University of Southampton, Southampton UK SO16 6YD
| | - Leanne Morrison
- Academic Unit of Psychology, University of Southampton, Southampton
UK SO17 1BJ
| | - Wendy Lawrence
- MRC Lifecourse Epidemiology Unit (University of Southampton),
Southampton General Hospital, Southampton UK SO16 6YD,NIHR Southampton Biomedical Research Centre, University Hospital
Southampton NHS Foundation Trust, University of Southampton, Southampton UK SO16
6YD
| | - Sofia Strömmer
- MRC Lifecourse Epidemiology Unit (University of Southampton),
Southampton General Hospital, Southampton UK SO16 6YD
| | - Christina Vogel
- MRC Lifecourse Epidemiology Unit (University of Southampton),
Southampton General Hospital, Southampton UK SO16 6YD,NIHR Southampton Biomedical Research Centre, University Hospital
Southampton NHS Foundation Trust, University of Southampton, Southampton UK SO16
6YD
| | - Kathryn Woods-Townsend
- NIHR Southampton Biomedical Research Centre, University Hospital
Southampton NHS Foundation Trust, University of Southampton, Southampton UK SO16
6YD,Southampton Education School, Faculty of Social and Human Sciences,
University of Southampton, Southampton UK SO17 1BJ
| | | | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit (University of Southampton),
Southampton General Hospital, Southampton UK SO16 6YD,NIHR Southampton Biomedical Research Centre, University Hospital
Southampton NHS Foundation Trust, University of Southampton, Southampton UK SO16
6YD
| | - Janis Baird
- MRC Lifecourse Epidemiology Unit (University of Southampton),
Southampton General Hospital, Southampton UK SO16 6YD,NIHR Southampton Biomedical Research Centre, University Hospital
Southampton NHS Foundation Trust, University of Southampton, Southampton UK SO16
6YD
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20
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Sutherland RL, Nathan NK, Lubans DR, Cohen K, Davies LJ, Desmet C, Cohen J, McCarthy NJ, Butler P, Wiggers J, Wolfenden L. An RCT to Facilitate Implementation of School Practices Known to Increase Physical Activity. Am J Prev Med 2017; 53:818-828. [PMID: 29051015 DOI: 10.1016/j.amepre.2017.08.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Revised: 06/20/2017] [Accepted: 08/09/2017] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Although comprehensive school-based physical activity interventions are efficacious when tested under research conditions, they often require adaptation in order for implementation at scale. This paper reports the effectiveness of an adapted efficacious school-based intervention in improving children's moderate to vigorous physical activity. The impact of strategies to support program implementation was also assessed. DESIGN A cluster RCT of low socioeconomic elementary schools in New South Wales, Australia. SETTING/PARTICIPANTS Consenting schools were randomized (25 intervention, 21 control) using a computerized random number function. Follow-up measures were taken at 6 months post-randomization (May-August 2015) by blinded research assistants. The multicomponent school-based intervention, based on an efficacious school-based physical activity program (Supporting Children's Outcomes using Rewards, Exercise and Skills), consisted of four physical activity strategies and seven implementation support strategies. The intervention was adapted for scalability and delivery by a local health service over 6 months. The primary outcome was accelerometer assessed, student mean daily minutes spent in moderate to vigorous physical activity. Physical education lesson quality and other school physical activity practices were also assessed. RESULTS Participants (n=1,139, 49% male) were third- through sixth-grade students at follow-up (May-August 2015). Valid wear time and analysis of data were provided for 989 (86%) participants (571 intervention, 568 control). At 6-month follow-up, there were no significant effects in overall daily minutes of moderate to vigorous physical activity between groups (1.96 minutes, 95% CI= -3.49, 7.41, p=0.48). However, adjusted difference in mean minutes of overall vigorous physical activity (2.19, 95% CI=0.06, 4.32, p=0.04); mean minutes of school day moderate to vigorous physical activity (2.90, 95% CI=0.06, 5.85, p=0.05); and mean minutes of school day vigorous physical activity (1.81, 95% CI=0.78, 2.83, p≤0.01) were significantly different in favor of the intervention group. Physical education lesson quality and school physical activity practices were significantly different favoring the intervention group (analyzed October 2015-January 2016). CONCLUSIONS The modified intervention was not effective in increasing children's overall daily minutes of moderate to vigorous physical activity, when adapted for implementation at scale. However, the intervention did improve daily minutes of vigorous physical activity and school day moderate to vigorous physical activity, lesson quality, and school physical activity practices. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry: ACTRN12615000437561.
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Affiliation(s)
- Rachel L Sutherland
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia;.
| | - Nicole K Nathan
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, Australia
| | - Kristen Cohen
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, Australia
| | - Lynda J Davies
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Clare Desmet
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Joshua Cohen
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Nicole J McCarthy
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Peter Butler
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - John Wiggers
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
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Abstract
Purpose
This paper aims to evaluate the impact of the groups from the Brazilian Food Pyramid on macro and micronutrient content of food consumed by adolescent girls from a school-based study.
Design/methodology/approach
Baseline data from “Healthy Habits, Healthy Girls” school-based randomized control trial was used for this study. A sample of the girls aged 14 to 18 years old (n = 253) from ten schools in Brazil was evaluated. Participants completed validated food frequency questionnaire, from which, the total kilocalories and/or grams from each food groups were calculated. Descriptive statistics, t-student test and linear regression were used for the analysis with a significant level of p < 0.05.
Findings
Mean daily intake of the girls was 2,887.09 (standard error 91.50) kcal/day. There was a positive significant association between relative intake of the “Oil and Fats” group and protein (ranged from 24.95 to 96.12 kcal/d), fats (48.36 to 192.62 kcal/d), iron (56.93 to 162.85 kcal/d) and sodium (208.08 to 699.69 kcal/d) contents. In regards to the intake of “Sugars and Sweets” group, there was a positive significant association for carbohydrates (97.53 to 491.70 kcal/day), total fiber (0.56 to 2.64 kcal/d), iron (0.85 to 4.40 kcal/d) and sodium (175.59 to 838.48 kcal/d) content.
Originality/value
Findings demonstrate that girls over consumed the “Oils and Fats” and “Sugars and Sweets” groups reflecting on increased of important macro and micronutrients of their diet. Therefore, consuming up to 1 serving size of these groups is a good way to promote healthy eating among this population.
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Okely AD, Lubans DR, Morgan PJ, Cotton W, Peralta L, Miller J, Batterham M, Janssen X. Promoting physical activity among adolescent girls: the Girls in Sport group randomized trial. Int J Behav Nutr Phys Act 2017; 14:81. [PMID: 28637470 PMCID: PMC5480114 DOI: 10.1186/s12966-017-0535-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Accepted: 06/12/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Slowing the decline in participation in physical activity among adolescent girls is a public health priority. This study reports the outcomes from a multi-component school-based intervention (Girls in Sport), focused on promoting physical activity among adolescent girls. METHODS Group randomized controlled trial in 24 secondary schools (12 intervention and 12 control). Assessments were conducted at baseline (2009) and at 18 months post-baseline (2010). The setting was secondary schools in urban, regional and rural areas of New South Wales, Australia. All girls in Grade 8 in 2009 who attended these schools were invited to participate in the study (N = 1769). Using a Health Promoting Schools and Action Learning Frameworks, each school formed a committee and developed an action plan for promoting physical activity among Grade 8 girls. The action plan incorporated strategies in three main areas - i) the formal curriculum, ii) school environment, and iii) home/school/community links - based on the results of formative data from target girls and staff and on individual needs of the school. A member of the research team supported each school throughout the intervention. The main outcome measure was accelerometer-derived total physical activity (TPA) spent in physical activity. Data were analyzed from December 2011 to March 2012. RESULTS 1518 girls (mean age 13.6y ±0.02) were assessed at baseline. There was a significant decline in TPA from baseline to 18-month follow-up with no differences between girls in the intervention and control schools. Only one-third of schools (4/12) implemented the intervention as per their action plan. Per-protocol analyses on these schools revealed a smaller decline in percentage of time spent in MVPA among girls in the intervention group (adjusted difference 0.5%, 95% CI = -0.01, 0.99, P = 0.05). CONCLUSIONS The Girls in Sport intervention was not effective in reducing the decline in physical activity among adolescent girls. Lack of implementation by most intervention schools was the main reason for a null effect. Identifying strategies to enhance implementation levels is critical to determining the true potential of this intervention approach. TRIAL REGISTRATION This study was retrospectively registered with the Australian New Zealand Clinical Trials Registry ACTRN12610001077055 . Date of registration: 7 December 2010.
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Affiliation(s)
- Anthony D. Okely
- Early Start Research Institute and School of Education, University of Wollongong, Wollongong, NSW 2522 Australia
- llawarra Health and Medical Research Institute, Wollongong, NSW 2522 Australia
| | - David R. Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, 2308 Australia
| | - Philip J. Morgan
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, 2308 Australia
| | - Wayne Cotton
- Faculty of Education and Social Work, The University of Sydney, Sydney, NSW 2006 Australia
| | - Louisa Peralta
- Faculty of Education and Social Work, The University of Sydney, Sydney, NSW 2006 Australia
| | - Judith Miller
- School of Education, University of New England, Armidale, NSW 2351 Australia
| | - Marijka Batterham
- llawarra Health and Medical Research Institute, Wollongong, NSW 2522 Australia
- National Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, NSW 2522 Australia
| | - Xanne Janssen
- University of Strathclyde, School of Psychological Sciences and Health, Glasgow, Scotland
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McCoy P, Leggett S, Bhuiyan A, Brown D, Frye P, Williams B. Text Messaging: An Intervention to Increase Physical Activity among African American Participants in a Faith-Based, Competitive Weight Loss Program. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:E326. [PMID: 28353650 PMCID: PMC5409538 DOI: 10.3390/ijerph14040326] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Revised: 02/28/2017] [Accepted: 03/17/2017] [Indexed: 11/24/2022]
Abstract
African American adults are less likely to meet the recommended physical activity guidelines for aerobic and muscle-strengthening activity than Caucasian adults. The purpose of this study was to assess whether a text message intervention would increase physical activity in this population. This pilot study used a pre-/post-questionnaire non-randomized design. Participants in a faith-based weight loss competition who agreed to participate in the text messaging were assigned to the intervention group (n = 52). Participants who declined to participate in the intervention, but agreed to participate in the study, were assigned to the control group (n = 30). The text messages provided strategies for increasing physical activity and were based on constructs of the Health Belief Model and the Information-Motivation-Behavioral Skills Model. Chi square tests determined the intervention group participants increased exercise time by approximately eight percent (p = 0.03), while the control group's exercise time remained constant. The intervention group increased walking and running. The control group increased running. Most participants indicated that the health text messages were effective. The results of this pilot study suggest that text messaging may be an effective method for providing options for motivating individuals to increase physical activity.
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Affiliation(s)
- Pamela McCoy
- School of Public Health, Jackson State University, Jackson, MS 39217, USA.
| | - Sophia Leggett
- School of Public Health, Jackson State University, Jackson, MS 39217, USA.
| | - Azad Bhuiyan
- School of Public Health, Jackson State University, Jackson, MS 39217, USA.
| | - David Brown
- College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
| | - Patricia Frye
- School of Public Health, Jackson State University, Jackson, MS 39217, USA.
| | - Bryman Williams
- College of Liberal Arts, Jackson State University, Jackson, MS 39217, 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: 42] [Impact Index Per Article: 5.3] [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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25
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Sutherland RL, Campbell EM, Lubans DR, Morgan PJ, Nathan NK, Wolfenden L, Okely AD, Gillham KE, Hollis JL, Oldmeadow CJ, Williams AJ, Davies LJ, Wiese JS, Bisquera A, Wiggers JH. The Physical Activity 4 Everyone Cluster Randomized Trial: 2-Year Outcomes of a School Physical Activity Intervention Among Adolescents. Am J Prev Med 2016; 51:195-205. [PMID: 27103495 DOI: 10.1016/j.amepre.2016.02.020] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 01/21/2016] [Accepted: 02/18/2016] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Few interventions have been successful in reducing the physical activity decline typically observed among adolescents. The aim of this paper is to report the 24-month effectiveness of a multicomponent school-based intervention (Physical Activity 4 Everyone) in reducing the decline in moderate to vigorous physical activity (MVPA) among secondary school students in disadvantaged areas of New South Wales, Australia. STUDY DESIGN A cluster RCT was conducted in five intervention and five control schools with follow-up measures taken at 24 months post-randomization. SETTING/PARTICIPANTS The trial was undertaken within secondary schools located in disadvantaged communities in New South Wales, Australia. INTERVENTION A multicomponent school-based intervention based on the Health Promoting Schools Framework was implemented. The intervention consisted of seven physical activity promotion strategies that targeted the curriculum (teaching strategies to increase physical activity in physical education lessons, student physical activity plans, and modification of school sport program); school environment (recess/lunchtime activities, school physical activity policy); parents (parent newsletters); and community (community physical activity provider promotion). Six additional strategies supported school implementation of the physical activity intervention strategies. MAIN OUTCOME MEASURE Minutes per day spent in MVPA, objectively measured by accelerometer. RESULTS Participants (N=1,150, 49% male) were a cohort of students aged 12 years (Grade 7) at baseline (March-June 2012) and 14 years (Grade 9) at follow-up (March-July 2014). At 24-month follow-up, there were significant effects in favor of the intervention group for daily minutes of MVPA. The adjusted mean difference in change in daily MVPA between groups was 7.0 minutes (95% CI=2.7, 11.4, p<0.002) (analysis conducted December 2014-February 2015). Sensitivity analyses based on multiple imputation were consistent with the main analysis (6.0 minutes, 95% CI=0.6, 11.3, p<0.031). CONCLUSIONS The intervention was effective in increasing adolescents' minutes of MVPA, suggesting that implementation of the intervention by disadvantaged schools has the potential to slow the decline in physical activity. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12612000382875.
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Affiliation(s)
- Rachel L Sutherland
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
| | - Elizabeth M Campbell
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, New South Wales, Australia
| | - Philip J Morgan
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, New South Wales, Australia
| | - Nicole K Nathan
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Anthony D Okely
- Early Start Research Institute and School of Education, University of Wollongong, Wollongong, New South Wales, Australia; Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Karen E Gillham
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Jenna L Hollis
- Rowett Institute of Nutrition and Health, University of Aberdeen, Scotland, United Kingdom
| | - Chris J Oldmeadow
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Amanda J Williams
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Lynda J Davies
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Jarrod S Wiese
- Hunter New England Population Health, Wallsend, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Alessandra Bisquera
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - John H Wiggers
- Hunter New England Population Health, Wallsend, New South Wales, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
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26
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Lubans DR, Smith JJ, Peralta LR, Plotnikoff RC, Okely AD, Salmon J, Eather N, Dewar DL, Kennedy S, Lonsdale C, Hilland TA, Estabrooks P, Finn TL, Pollock E, Morgan PJ. A school-based intervention incorporating smartphone technology to improve health-related fitness among adolescents: rationale and study protocol for the NEAT and ATLAS 2.0 cluster randomised controlled trial and dissemination study. BMJ Open 2016; 6:e010448. [PMID: 27354070 PMCID: PMC4932296 DOI: 10.1136/bmjopen-2015-010448] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
INTRODUCTION Physical inactivity has been described as a global pandemic. Interventions aimed at developing skills in lifelong physical activities may provide the foundation for an active lifestyle into adulthood. In general, school-based physical activity interventions targeting adolescents have produced modest results and few have been designed to be 'scaled-up' and disseminated. This study aims to: (1) assess the effectiveness of two physical activity promotion programmes (ie, NEAT and ATLAS) that have been modified for scalability; and (2) evaluate the dissemination of these programmes throughout government funded secondary schools. METHODS AND ANALYSIS The study will be conducted in two phases. In the first phase (cluster randomised controlled trial), 16 schools will be randomly allocated to the intervention or a usual care control condition. In the second phase, the Reach, Effectiveness, Adoption, Implementation and Maintenance (Re-AIM) framework will be used to guide the design and evaluation of programme dissemination throughout New South Wales (NSW), Australia. In both phases, teachers will be trained to deliver the NEAT and ATLAS programmes, which will include: (1) interactive student seminars; (2) structured physical activity programmes; (3) lunch-time fitness sessions; and (4) web-based smartphone apps. In the cluster RCT, study outcomes will be assessed at baseline, 6 months (primary end point) and 12-months. Muscular fitness will be the primary outcome and secondary outcomes will include: objectively measured body composition, cardiorespiratory fitness, flexibility, resistance training skill competency, physical activity, self-reported recreational screen-time, sleep, sugar-sweetened beverage and junk food snack consumption, self-esteem and well-being. ETHICS AND DISSEMINATION This study has received approval from the University of Newcastle (H-2014-0312) and the NSW Department of Education (SERAP: 2012121) human research ethics committees. This study is funded by the Australian Research Council (FT140100399) and the NSW Department of Education. TRIAL REGISTRATION NUMBER ACTRN12615000360516; Pre-results.
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Affiliation(s)
- David R Lubans
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Jordan J Smith
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Louisa R Peralta
- Faculty of Education and Social work, University of Sydney, Sydney, New South Wales, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Anthony D Okely
- Early Start Research Institute, School of Education, University of Wollongong, Wollongong, New South Wales, Australia
| | - Jo Salmon
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Narelle Eather
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Deborah L Dewar
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Sarah Kennedy
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Chris Lonsdale
- Faculty of Health Sciences, Institute for Positive Psychology and Education, Australian Catholic University, Strathfield, New South Wales, Australia
| | - Toni A Hilland
- Faculty of Education, Monash University, Clayton, Victoria, Australia
| | - Paul Estabrooks
- Department of Human Nutrition, Foods and Exercise, Virginia Polytechnic Institute, Blacksburgh, Virginia, USA
| | - Tara L Finn
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Emma Pollock
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Philip J Morgan
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
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Hollis JL, Sutherland R, Campbell L, Morgan PJ, Lubans DR, Nathan N, Wolfenden L, Okely AD, Davies L, Williams A, Cohen KE, Oldmeadow C, Gillham K, Wiggers J. Effects of a 'school-based' physical activity intervention on adiposity in adolescents from economically disadvantaged communities: secondary outcomes of the 'Physical Activity 4 Everyone' RCT. Int J Obes (Lond) 2016; 40:1486-1493. [PMID: 27430652 PMCID: PMC5056957 DOI: 10.1038/ijo.2016.107] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 04/18/2016] [Accepted: 05/02/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND/OBJECTIVES: Obesity prevention during adolescence is a health priority. The ‘Physical Activity 4 Everyone' (PA4E1) study tested a multi-component physical activity intervention in 10 secondary schools from socio-economically disadvantaged communities. This paper aimed to report the secondary outcomes of the study; to determine whether the intervention impacted on adiposity outcomes (weight, body mass index (BMI), BMI z-score), and whether any effect was moderated by sex, baseline BMI and baseline physical activity level, at 12 and 24 months. SUBJECTS/METHODS: A cluster randomised controlled trial was conducted in New South Wales, Australia. The school-based intervention included seven physical activity strategies targeting the following: curriculum (strategies to maximise physical activity in physical education, student physical activity plans, an enhanced school sport programme); school environment (physical activity during school breaks, modification of school policy); and parents and the community (parent engagement, links with community physical activity providers). Students' weight (kg), BMI and BMI z-score, were collected at baseline (Grade 7), 12 and 24 months. Linear Mixed Models were used to assess between-group mean difference from baseline to 12 and 24 months. Exploratory sub-analyses were undertaken according to three moderators of energy balance. RESULTS: A total of 1150 students (mean age=12 years) provided outcome data at baseline, 1051 (91%) at 12 months and 985 (86%) at 24 months. At 12 months, there were group-by-time effects for weight (mean difference=–0.90 kg (95% confidence interval (CI)=–1.50, −0.30), P<0.01) and BMI (−0.28 kg m−2 (−0.50, −0.06), P=0.01) in favour of the intervention group, but not for BMI z-score (−0.05 (−0.11; 0.01), P=0.13). These findings were consistent for weight (−0.62 kg (−1.21, 0.03), P=0.01) and BMI (−0.28 kg m−2 (−0.49, −0.06), P=0.01) at 24 months, with group-by-time effects also found for BMI z-score (−0.08 (−0.14; −0.02), P=0.02) favouring the intervention group. CONCLUSION: The PA4E1 school-based intervention achieved moderate reductions in adiposity among adolescents from socio-economically disadvantaged communities. Multi-component interventions that increase adolescents' engagement in moderate-to-vigorous physical activity (MVPA) may assist in preventing unhealthy weight gain.
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Affiliation(s)
- J L Hollis
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - R Sutherland
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - L Campbell
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - P J Morgan
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - D R Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - N Nathan
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - L Wolfenden
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - A D Okely
- Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia
| | - L Davies
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - A Williams
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - K E Cohen
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - C Oldmeadow
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - K Gillham
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
| | - J Wiggers
- Hunter New England Population Health, The University of Newcastle, Wallsend, New South Wales, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, Lambton, New South Wales, Australia
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Racey M, O'Brien C, Douglas S, Marquez O, Hendrie G, Newton G. Systematic Review of School-Based Interventions to Modify Dietary Behavior: Does Intervention Intensity Impact Effectiveness? THE JOURNAL OF SCHOOL HEALTH 2016; 86:452-63. [PMID: 27122145 DOI: 10.1111/josh.12396] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Revised: 11/03/2015] [Accepted: 01/09/2016] [Indexed: 05/21/2023]
Abstract
BACKGROUND Owing to the associations between diet and health, it is important that effective health promotion strategies establish healthful eating behaviors from an early age. We reviewed the intensity of school-based interventions aimed to modify dietary behavior in preadolescent and adolescents and related intervention characteristics to effectiveness. METHODS Our systematic literature search of 8 databases sought to identify interventions measuring dietary intake in school settings to students aged 9 to 18. We evaluated these studies for effectiveness, intensity, intervention category, and follow-up measures. RESULTS Of the 105 interventions 81 were found to be effective immediately postintervention, irrespective of intensity. Studies that were 6 weeks to 5 months in duration, targeted students' environment or group (alone or in combination), and reached students only in schools were more effective. Only one-fifth of interventions conducted a follow-up measure, and a majority showed a loss of effectiveness from postintervention to follow-up. CONCLUSIONS We identified characteristics of effective interventions. These findings may inform the development of future interventions targeting dietary behavior in preadolescents and adolescents in the school-based setting.
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Affiliation(s)
- Megan Racey
- University of Guelph, Department of Human Health & Nutritional Science, Guelph, ON N1G 2W1, Canada.
| | - Charlene O'Brien
- University of Guelph, Department of Human Health & Nutritional Science, Guelph, ON N1G 2W1, Canada.
| | - Sabrina Douglas
- University of Guelph, Department of Human Health & Nutritional Science, Guelph, ON N1G 2W1, Canada.
| | - Olivia Marquez
- University of Guelph, Department of Human Health & Nutritional Science, Guelph, ON N1G 2W1, Canada.
| | - Gilly Hendrie
- CSIRO Food and Nutritional Sciences, PO BOX 10041, Adelaide 5000, South Australia.
| | - Genevieve Newton
- University of Guelph, Department of Human Health & Nutritional Science, Guelph, ON N1G 2W1, Canada.
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Preventing obesity among Brazilian adolescent girls: Six-month outcomes of the Healthy Habits, Healthy Girls-Brazil school-based randomized controlled trial. Prev Med 2016; 86:77-83. [PMID: 26851152 DOI: 10.1016/j.ypmed.2016.01.020] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 11/20/2015] [Accepted: 01/23/2016] [Indexed: 12/23/2022]
Abstract
BACKGROUND School-based trials to prevent and reduce prevalence of pediatric obesity in low-income countries are necessary. In Brazil, addressing adolescent obesity is a public health priority. OBJECTIVE To evaluate the impact of a group randomized controlled trial involving a 6-month multicomponent school-based obesity prevention program targeting adolescent girls. METHODS The Healthy Habits, Healthy Girls-Brazil program recruited participants (n=253; 16.05±0.05 years) from ten eligible public technical schools in São Paulo, Brazil. The program was adapted from an Australian intervention study, which is based on the Social Cognitive Theory. The primary outcome measure was body mass index (BMI), and secondary outcomes included BMI z score, waist circumference, and various sedentary and dietary health-related behaviours. RESULTS Although changes in BMI were not statistically significant, differences favored the intervention group (adjusted mean difference, -0.26kg/m(2),se SE=0.018, p=0.076). Statistically significant intervention effects were found for waist circumference (-2.28cm; p=, p=0.01), computer screen time on the weekends (0.63h/day, p; p=0.02), total sedentary activities on the weekends (-0.92h/day, p<0.01), and vegetable intake (1.16servings/day, p=0.01). CONCLUSION These findings provide some evidence for the benefit of a school-based intervention to prevent unhealthy weight gain in adolescent girls living in low-income communities.
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Dietary intake and meal frequency of Brazilian girls attending a school-based randomized controlled trial. ACTA ACUST UNITED AC 2015. [DOI: 10.1108/nfs-06-2015-0072] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
– This paper aims to evaluate the effects of a school-based obesity prevention program targeting Brazilian adolescent girls on dietary intake and meal frequency.
Design/methodology/approach
– It was a six-month school-based group randomized controlled trial with female adolescents. The intervention was based on the Social Cognitive Theory and focused on ten nutrition and physical activity key messages. Diet intake was measured using a validated food frequency questionnaire, and the food items were aggregate into the eight food groups of the Brazilian Food Guide Pyramid. The meals frequency assessed were breakfast, lunch, dinner and snack-in-between-meals, the frequency ranged from never to everyday. Linear mixed models were used to examine the dietary effects and chi-squared test to identify proportional differences among groups in meal frequency. All analyses followed intention-to-treat principles and alpha levels of p ≤ 0.05 were set.
Findings
– After six months from baseline, changes in the fruits (mean [SE] 12.48 kcal [7.86], p = 0.005), vegetables (8.80 kcal [7.11], p = 0.006) and sugar (−55.98 kcal [50.70], p = 0.036) groups were demonstrated. Proportional difference was shown for snack-in-between-meals (p = 0.001), and the frequency most cited was for “five to six days” per week.
Originality/value
– The “Healthy Habits, Healthy Girls-Brazil” showed promise in the adolescents’ dietary intake and could be used as framework for future interventions. Also, the methods used for dietary intake can be enhanced and implemented for future studies.
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Sutherland R, Campbell E, Lubans DR, Morgan PJ, Okely AD, Nathan N, Wolfenden L, Wiese J, Gillham K, Hollis J, Wiggers J. 'Physical Activity 4 Everyone' school-based intervention to prevent decline in adolescent physical activity levels: 12 month (mid-intervention) report on a cluster randomised trial. Br J Sports Med 2015; 50:488-95. [PMID: 26359346 PMCID: PMC4853531 DOI: 10.1136/bjsports-2014-094523] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2015] [Indexed: 11/04/2022]
Abstract
BACKGROUND Adolescence is a recognised period of physical activity decline, particularly among low-income communities. We report the 12-month (midpoint) effects of a 2-year multicomponent physical activity intervention implemented in disadvantaged secondary schools. METHODS A cluster randomised trial was undertaken in 10 secondary schools located in disadvantaged areas in New South Wales, Australia. Students in Grade 7 were recruited, with follow-up in Grade 8. The intervention was guided by socioecological theory and included seven physical activity strategies, and six implementation adoption strategies. The primary outcome was mean minutes of moderate-to-vigorous physical activity (MVPA) per day assessed using Actigraph GT3X accelerometers. Outcome data were analysed using repeated measures linear mixed models. RESULTS At baseline, 1150 (93%) students participated in the data collection (mean age 12 years, 48% boys) and 1050 (79%) students participated at 12-month follow-up. By the 12-month follow-up, the six implementation adoption strategies had been used to support schools to deliver four of the seven physical activity elements. There was a significant group-by-time interaction for mean minutes of MVPA per day in favour of the intervention group (adjusted difference between groups at follow-up=3.85 min, 95% CI (0.79 to 6.91), p ≤ 0.01), including significantly more vigorous physical activity (2.45 min, p ≤ 0.01), equating to 27 min more MVPA per week. SUMMARY At 12-month follow-up, the intervention had reduced the decline in physical activity among adolescents from disadvantaged schools. The intervention may assist students to meet physical activity guidelines.
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Affiliation(s)
- Rachel Sutherland
- Hunter New England Population Health, Wallsend, New South Wales, Australia School of Medicine and Public Health, University of Newcastle, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Elizabeth Campbell
- Hunter New England Population Health, Wallsend, New South Wales, Australia School of Medicine and Public Health, University of Newcastle, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, New South Wales, Australia
| | - Philip J Morgan
- Priority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, New South Wales, Australia
| | - Anthony D Okely
- Early Start Research Institute and School of Education, University of Wollongong, Wollongong, New South Wales, Australia Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Nicole Nathan
- Hunter New England Population Health, Wallsend, New South Wales, Australia School of Medicine and Public Health, University of Newcastle, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, New South Wales, Australia School of Medicine and Public Health, University of Newcastle, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Jarrod Wiese
- Hunter New England Population Health, Wallsend, New South Wales, Australia School of Medicine and Public Health, University of Newcastle, New South Wales, Australia
| | - Karen Gillham
- Hunter New England Population Health, Wallsend, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Jenna Hollis
- Rowett Institute of Nutrition and Health, University of Aberdeen, Scotland, UK
| | - John Wiggers
- Hunter New England Population Health, Wallsend, New South Wales, Australia School of Medicine and Public Health, University of Newcastle, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia
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Chaplais E, Naughton G, Thivel D, Courteix D, Greene D. Smartphone Interventions for Weight Treatment and Behavioral Change in Pediatric Obesity: A Systematic Review. Telemed J E Health 2015; 21:822-30. [PMID: 26290954 DOI: 10.1089/tmj.2014.0197] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Traditional approaches for treating or managing children and adolescents with overweight or obesity have limited effectiveness. Current advances in smartphone technology may improve the attractiveness and accessibility of weight management support for children and adolescents with overweight or obesity. This systematic review aimed to provide a comparative evaluation of the effectiveness of using smartphones in the multidisciplinary treatment of child and adolescent overweight or obesity, with a specific interest in behavior change. MATERIALS AND METHODS The databases of Medline complete, OVID, CINAHL, EMBASE, and PubMed were searched for randomized controlled trial (RCT) studies addressing behavioral change using smartphone technology, plus nutrition and/or physical activity, to treat or manage child and adolescent obesity. RESULTS Only two RCTs have described the effectiveness of smartphone devices in pediatric overweight or obesity treatment. Within the limitation of the two studies, electronic contact (e-contact) appeared unsuccessful in achieving weight loss. However, smartphone usage was linked to improved engagement and reduced dropout rates during important sustainability phases of these long-term interventions. CONCLUSIONS Smartphone technologies allow users to accomplish tasks anywhere and anytime and, as such, provide researchers with additional and generationally appropriate capacities to deliver health promotion. E-contact should be used for its significant capacity to prolong engagement and decrease withdrawal during sustainability phases that follow intensive intervention for weight management in young populations. Despite increasing popularity in published protocols of weight management trials, the effectiveness of the impact of smartphone technology in pediatric programs remains equivocal.
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Affiliation(s)
- Elodie Chaplais
- 1 Laboratory of the Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions, Clermont University and Blaise Pascal University , Clermont-Ferrand, France .,2 School of Exercise Science, Australian Catholic University , Strathfield, New South Wales, Australia
| | - Geraldine Naughton
- 2 School of Exercise Science, Australian Catholic University , Strathfield, New South Wales, Australia
| | - David Thivel
- 1 Laboratory of the Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions, Clermont University and Blaise Pascal University , Clermont-Ferrand, France .,3 Centre de Recherches en Nutrition Humaine d'Auvergne , Clermont-Ferrand, France
| | - Daniel Courteix
- 1 Laboratory of the Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions, Clermont University and Blaise Pascal University , Clermont-Ferrand, France .,2 School of Exercise Science, Australian Catholic University , Strathfield, New South Wales, Australia .,3 Centre de Recherches en Nutrition Humaine d'Auvergne , Clermont-Ferrand, France
| | - David Greene
- 2 School of Exercise Science, Australian Catholic University , Strathfield, New South Wales, Australia
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Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile Exercise Apps and Increased Leisure Time Exercise Activity: A Moderated Mediation Analysis of the Role of Self-Efficacy and Barriers. J Med Internet Res 2015; 17:e195. [PMID: 26276227 PMCID: PMC4642397 DOI: 10.2196/jmir.4142] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2014] [Revised: 04/13/2015] [Accepted: 04/28/2015] [Indexed: 12/21/2022] Open
Abstract
Background There are currently over 1000 exercise apps for mobile devices on the market. These apps employ a range of features, from tracking exercise activity to providing motivational messages. However, virtually nothing is known about whether exercise apps improve exercise levels and health outcomes and, if so, the mechanisms of these effects. Objective Our aim was to examine whether the use of exercise apps is associated with increased levels of exercise and improved health outcomes. We also develop a framework within which to understand how exercise apps may affect health and test multiple models of possible mechanisms of action and boundary conditions of these relationships. Within this framework, app use may increase physical activity by influencing variables such as self-efficacy and may help to overcome exercise barriers, leading to improved health outcomes such as lower body mass index (BMI). Methods In this study, 726 participants with one of three backgrounds were surveyed about their use of exercise apps and health: (1) those who never used exercise apps, (2) those who used exercise apps but discontinued use, and (3) those who are currently using exercise apps. Participants were asked about their long-term levels of exercise and about their levels of exercise during the previous week with the International Physical Activity Questionnaire (IPAQ). Results Nearly three-quarters of current app users reported being more active compared to under half of non-users and past users. The IPAQ showed that current users had higher total leisure time metabolic equivalent of task (MET) expenditures (1169 METs), including walking and vigorous exercise, compared to those who stopped using their apps (612 METs) or who never used apps (577 METs). Importantly, physical activity levels in domains other than leisure time activity were similar across the groups.
The results also showed that current users had lower BMI (25.16) than past users (26.8) and non-users (26.9) and that this association was mediated by exercise levels and self-efficacy. That relationship was also moderated by perceived barriers to exercise. Multiple serial mediation models were tested, which revealed that the association between app use and BMI is mediated by increased self-efficacy and increased exercise. Conclusions Exercise app users are more likely to exercise during their leisure time, compared to those who do not use exercise apps, essentially fulfilling the role that many of these apps were designed to accomplish. Data also suggest that one way that exercise apps may increase exercise levels and health outcomes such as BMI is by making it easier for users to overcome barriers to exercise, leading to increased self-efficacy. We discuss ways of improving the effectiveness of apps by incorporating theory-driven approaches. We conclude that exercise apps can be viewed as intervention delivery systems consisting of features that help users overcome specific barriers.
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Affiliation(s)
- Leib Litman
- Lander College, Psychology Department, Kew Gardens Hills, NY, NY, United States.
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Amini M, Djazayery A, Majdzadeh R, Taghdisi MH, Jazayeri S. Effect of School-based Interventions to Control Childhood Obesity: A Review of Reviews. Int J Prev Med 2015; 6:68. [PMID: 26330984 PMCID: PMC4542333 DOI: 10.4103/2008-7802.162059] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 03/18/2015] [Indexed: 02/03/2023] Open
Abstract
Effectiveness of school-based interventions to prevent or control overweight and obesity among school children was reviewed for a 11-year period (January 2001 to December 2011). All English systematic reviews, meta-analyses, reviews of reviews, policy briefs and reports targeting children and adolescents which included interventional studies with a control group and aimed to prevent or control overweight and/or obesity in a school setting were searched. Four systematic reviews and four meta-analyses met the eligibility criteria and were included in the review. Results of the review indicated that implementation of multi-component interventions did not necessarily improve the anthropometric outcomes. Although intervention duration is a crucial determinant of effectiveness, studies to assess the length of time required are lacking. Due to existing differences between girls and boys in responding to the elements of the programs in tailoring of school-based interventions, the differences should be taken into consideration. While nontargeted interventions may have an impact on a large population, intervention specifically aiming at children will be more effective for at-risk ones. Intervention programs for children were required to report any unwanted psychological or physical adverse effects originating from the intervention. Body mass index was the most popular indicator used for evaluating the childhood obesity prevention or treatment trials; nonetheless, relying on it as the only indicator for adiposity outcomes could be misleading. Few studies mentioned the psychological theories of behavior change they applied. Recommendations for further studies on school-based interventions to prevent or control overweight/obesity are made at the end of this review.
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Affiliation(s)
- Maryam Amini
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Abolghassem Djazayery
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Majdzadeh
- Department of Epidemiology and Biostatistics, School of Public Health and Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Hossein Taghdisi
- Department of Health Promotion and Health Education, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Shima Jazayeri
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Expanding a successful community-based obesity prevention approach into new communities: Challenges and achievements. Obes Res Clin Pract 2015; 10:197-206. [PMID: 26166010 DOI: 10.1016/j.orcp.2015.05.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Revised: 05/14/2015] [Accepted: 05/29/2015] [Indexed: 11/23/2022]
Abstract
OBJECTIVE A previously successful community-based obesity prevention intervention with a focus on school settings was expanded into new communities with varying contexts. In order to understand the complexities involved in implementing health promotion activities in schools, this study examined experiences of school staff and project officers including barriers, contextual factors and achievements. METHODS School environment assessments were conducted in schools across four Victorian communities with school staff (n=1-5 staff plus a trained researcher per group in 9 primary and 8 secondary schools) 12-18 months post-intervention. Process reports from project officers were also reviewed and analysed (n=4). RESULTS School staff commonly reported time pressures as a barrier to implementation and project officers working within schools reported competing priorities and limited health promotion experience of staff; lack of stakeholder engagement; low participation in some activities and insufficient implementation time. Contextual factors included community socioeconomic status, student ethnicity and living rurally. Achievements included student and staff enjoyment from programme activities, staff capacity building, partnerships, embedding activities into existing infrastructure and programmes, and having consistent health-related messages repeated through a variety of strategies. CONCLUSIONS Community-based interventions with a focus on school settings need to consider system level, organisational and contextual (i.e. socioeconomic, ethnicity, family and town characteristics) factors when expanding previously effective strategies into new communities. Implementation benefits may have added whole of school benefits in addition to child health. Focussing on overcoming the challenges experienced in this complex initiative is required for future interventions. TRIAL REGISTRATION ACTRN12609000892213.
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Leme ACB, Philippi ST. The “Healthy Habits, Healthy Girls” randomized controlled trial for girls: study design, protocol, and baseline results. CAD SAUDE PUBLICA 2015; 31:1381-94. [DOI: 10.1590/0102-311x00136014] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 03/16/2015] [Indexed: 11/22/2022] Open
Abstract
The purpose of this article is to describe the study design, protocol, and baseline results of the “Healthy Habits, Healthy Girls” program. The intervention is being evaluated through a randomized controlled trial in 10 public schools in the city of São Paulo, Brazil. Data on the following variables were collected and assessed at baseline and will be reevaluated at 7 and 12 months: body mass index, waist circumference, dietary intake, nutrition, physical activity, social cognitive mediators, physical activity level, sedentary behaviors, self-rated physical status, and overall self-esteem. According to the baseline results, 32.4% and 23.4% of girls were overweight in the intervention and control groups, respectively, and in both groups a higher percentage failed to meet daily recommendations for moderate and vigorous physical activity and maximum screen time (TV, computer, mobile devices). There were no significant differences between the groups for most of the variables, except age (p = 0.000) and waist circumference (p = 0.014). The study showed a gap in the Brazilian literature on protocols for randomized controlled trials to prevent obesity among youth. The current study may thus be an important initial contribution to the field.
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Martin R, Murtagh EM. An intervention to improve the physical activity levels of children: design and rationale of the 'Active Classrooms' cluster randomised controlled trial. Contemp Clin Trials 2015; 41:180-91. [PMID: 25657052 DOI: 10.1016/j.cct.2015.01.019] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Revised: 01/23/2015] [Accepted: 01/24/2015] [Indexed: 01/12/2023]
Abstract
BACKGROUND Recent evidence demonstrates that children are not engaging in the recommended 60 min of moderate to vigorous physical activity per day. Physical activity (PA) interventions have been acknowledged by the WHO (2010) as a key strategy to increase the PA levels of children. School has been recognised as a primary location for reaching the majority of children and providing PA opportunities for them. However, the sedentary nature of lessons carried out in the classroom has been identified as a contributing factor to physical inactivity among this age group. PURPOSE The aim of this study is to develop and evaluate a classroom-based intervention which integrates PA and academic content, and evaluate its effects on the PA levels of children aged 8-11 in Ireland. METHODS Active Classrooms is an 8-week classroom based intervention guided by the behaviour change wheel (BCW) framework (Michie et al. 2011) that will be evaluated using a cluster randomised controlled trial (RCT). Study measures will be taken at baseline, during the final week of the intervention and at follow-up after 4 months. The primary outcome is minutes of moderate-to-vigorous intensity physical activity during school time objectively assessed using accelerometers (Actigraph). Teachers' perceptions on the effectiveness and use of the intervention and students' enjoyment of the programme will be evaluated post intervention. CONCLUSIONS Changing teacher behaviour towards using physically active teaching methods may increase the moderate to vigorous physical activity levels of their students. Therefore, the results of this study may have important implications for the health of children both now and into the future. TRIAL REGISTRATION ISRCTN14265493.
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Affiliation(s)
- Rosemarie Martin
- Department of Arts Education and Physical Education, Mary Immaculate College, University of Limerick, Limerick, Ireland.
| | - Elaine M Murtagh
- Department of Arts Education and Physical Education, Mary Immaculate College, University of Limerick, Limerick, Ireland.
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Collins CE, Burrows TL, Rollo ME, Boggess MM, Watson JF, Guest M, Duncanson K, Pezdirc K, Hutchesson MJ. The comparative validity and reproducibility of a diet quality index for adults: the Australian Recommended Food Score. Nutrients 2015; 7:785-98. [PMID: 25625814 PMCID: PMC4344560 DOI: 10.3390/nu7020785] [Citation(s) in RCA: 142] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 12/01/2014] [Accepted: 01/15/2015] [Indexed: 12/13/2022] Open
Abstract
Adult diet quality indices are shown to predict nutritional adequacy of dietary intake as well as all-cause morbidity and mortality. This study describes the reproducibility and validity of a food-based diet quality index, the Australian Recommended Food Score (ARFS). ARFS was developed to reflect alignment with the Australian Dietary Guidelines and is modelled on the US Recommended Food Score. Dietary intakes of 96 adult participants (31 male, 65 female) age 30 to 75 years were assessed in two rounds, five months apart. Diet was assessed using a 120-question semi-quantitative food frequency questionnaire (FFQ). The ARFS diet quality index was derived using a subset of 70 items from the full FFQ. Reproducibility of the ARFS between round one and round two was confirmed by the overall intraclass correlation coefficient of 0.87 (95% CI 0.83, 0.90), which compared favourably to that for the FFQ at 0.85 (95% CI 0.80, 0.89). ARFS was correlated with FFQ nutrient intakes, particularly fiber, vitamin A, beta-carotene and vitamin C (0.53, 95% CI 0.37-0.67), and with mineral intakes, particularly calcium, magnesium and potassium (0.32, 95% CI 0.23-0.40). ARFS is a suitable brief tool to evaluate diet quality in adults and reliably estimates a range of nutrient intakes.
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Affiliation(s)
- Clare E Collins
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - Tracy L Burrows
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - Megan E Rollo
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - May M Boggess
- Occupational Health and Safety, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - Jane F Watson
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - Maya Guest
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle 2300, Australia.
| | - Kerith Duncanson
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - Kristine Pezdirc
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
| | - Melinda J Hutchesson
- Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia.
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School-based obesity prevention interventions: Practicalities and considerations. Obes Res Clin Pract 2014; 8:e497-510. [DOI: 10.1016/j.orcp.2013.10.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Revised: 09/27/2013] [Accepted: 10/12/2013] [Indexed: 11/18/2022]
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Do school-based physical activity interventions increase or reduce inequalities in health? Soc Sci Med 2014; 112:80-7. [PMID: 24820223 DOI: 10.1016/j.socscimed.2014.04.032] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2013] [Revised: 04/16/2014] [Accepted: 04/20/2014] [Indexed: 11/21/2022]
Abstract
Little is known about the effectiveness of school-based health promotion on physical activity inequalities among children from low-income areas. This study compared the two-year change in physical activity among 10-11 year-old children attending schools with and without health promotion programs by activity level, body weight status, and socioeconomic backgrounds to assess whether health promotion programs reduce or exacerbate health inequalities. This was a quasi-experimental trial of a Comprehensive School Health (CSH) program implemented in schools located in socioeconomically disadvantaged neighbourhoods in Edmonton, Alberta, Canada. In the spring of 2009 and 2011, pedometer (7 full days) and demographic data were collected from cross-sectional samples of grade five children from 10 intervention and 20 comparison schools. Socioeconomic status was determined from parent self-report. Low-active, active, and high-active children were defined according to step-count tertiles. Multilevel linear regression methods adjusted for potential confounders were used to assess the relative inequity in physical activity and were compared between groups and over-time. In 2009, a greater proportion of students in the intervention schools were overweight (38% vs. 31% p = 0.03) and were less active (10,827 vs. 12,265 steps/day p < 0.001). Two years later, the relative difference in step-counts between intervention and comparison schools reduced from -15.5% to 0% among low-active students, from -13.4% to 0% among active students, and from -15.1% to -2.7% among high-active students. The relative difference between intervention and comparison schools reduced from -11.1% to -1.6% among normal weight students, from -16.8% to -1.4% among overweight students, and was balanced across socioeconomic subgroups. These findings demonstrate that CSH programs implemented in socioeconomically disadvantaged neighbourhoods reduced inequalities in physical activity. Investments in school-based health promotion are a viable, promising, and important approach to improve physical activity and prevent childhood obesity, and may also reduce inequalities in health.
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Holub CK, Lobelo F, Mehta SM, Romero LMS, Arredondo EM, Elder JP. School-wide programs aimed at obesity among Latino youth in the United States: a review of the evidence. THE JOURNAL OF SCHOOL HEALTH 2014; 84:239-246. [PMID: 24617907 PMCID: PMC8528267 DOI: 10.1111/josh.12144] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2012] [Revised: 02/11/2013] [Accepted: 03/03/2013] [Indexed: 06/03/2023]
Abstract
BACKGROUND In the past 30 years, childhood obesity rates have tripled, disproportionately affecting Latino children. From 2003 to 2006, 43.0% of Mexican-American children were classified as overweight compared with 36.9% of non-Hispanic Whites. Obesity interventions targeting children can have a significant impact in the school setting. METHODS We conducted a systematic review of evidence-based, obesity-related interventions in the school setting. Inclusion criteria included: having 50% or more Latino children in the study, and usage of obesity-related outcomes (eg, body mass index [BMI] z-score, weight, and waist circumference, and body fat). RESULTS The majority of identified studies included interventions that targeted both nutrition and physical activity. The most successful interventions were randomized, controlled trials or quasi-experimental controlled studies and had few limitations in execution in the study; however, overall results were mixed. There are promising results for interventions targeting Latino children who are already overweight or obese, but evidence of effectiveness is sparse. CONCLUSIONS This review is the first to gather evidence-based research systematically aimed at obesity-related interventions in the school setting that are specifically focused on Latino children. Results of the review are promising and timely, given the exigency of the needed evidence, and the current state of childhood obesity in the United States.
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Affiliation(s)
- Christina K. Holub
- Institute for Behavioral and Community Health, San Diego State University, 9245 Sky Park Court, Suite 221, San Diego, CA 92123-4311
| | - Felipe Lobelo
- Global Health Promotion Office, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Highway, NE, Atlanta MS K-40, GA 30341
| | - Setoo M. Mehta
- Institute for Behavioral and Community Health, San Diego State University, 9245 Sky Park Court, Suite 221, San Diego, CA92123-4311
| | - Luz M. Sánchez Romero
- Research Department of Nutrition Policies and Programs, Center of Nutrition and Health, National Institute of Public Health, Av. Universidad No. 655., Col. Sta. Ma. Ahuacatitlán, Cuernavaca, Morelos, CP. 62100, Mexico
| | - Elva M. Arredondo
- Institute for Behavioral and Community Health, San Diego State University, 9245 Sky Park Court, Suite 221, San Diego, CA 92123-4311
| | - John P. Elder
- Institute for Behavioral and Community Health, San Diego State University, 9245 Sky Park Court, Suite 221, San Diego, CA 92123-4311
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12Month changes in dietary intake of adolescent girls attending schools in low-income communities following the NEAT Girls cluster randomized controlled trial. Appetite 2014; 73:147-55. [DOI: 10.1016/j.appet.2013.11.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2013] [Revised: 10/30/2013] [Accepted: 11/03/2013] [Indexed: 11/20/2022]
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Malseed C, Nelson A, Ware R. Evaluation of a School-Based Health Education Program for Urban Indigenous Young People in Australia. Health (London) 2014. [DOI: 10.4236/health.2014.67077] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Rationale and study protocol for the ‘Active Teen Leaders Avoiding Screen-time’ (ATLAS) group randomized controlled trial: An obesity prevention intervention for adolescent boys from schools in low-income communities. Contemp Clin Trials 2014; 37:106-19. [DOI: 10.1016/j.cct.2013.11.008] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2013] [Revised: 11/12/2013] [Accepted: 11/15/2013] [Indexed: 01/28/2023]
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Dewar DL, Plotnikoff RC, Morgan PJ, Okely AD, Costigan SA, Lubans DR. Testing social-cognitive theory to explain physical activity change in adolescent girls from low-income communities. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2013; 84:483-491. [PMID: 24592778 DOI: 10.1080/02701367.2013.842454] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
PURPOSE The aim of this study was to test the hypothesized structural paths in Bandura's social-cognitive theory (SCT) model on adolescent girls' physical activity following a 12-month physical activity and dietary intervention to prevent obesity. METHOD We conducted a 12-month follow-up study of 235 adolescent girls (M(age) = 13.2 years, SD = 0.4) from 12 secondary schools located in low-income communities. At baseline, participants completed SCT scales related to physical activity (i.e., self-efficacy, intention, parental support, and outcome expectations). At baseline and 12-month follow-up (postintervention), participants wore accelerometers for 7 days. Structural equation modeling was used to determine if Time 1 measures predicted physical activity at 12-month follow-up after adjusting for baseline activity. RESULTS The model explained 28% and 34% of the variance in physical activity and intention, respectively. Model fit indexes indicated the data were a good fit to the model; however, only self-efficacy was associated with physical activity at 12 months. There was no support for intention or outcome expectations as proximal determinants of behavior. Self-efficacy was associated with outcome expectations and parental support; however, only outcome expectations predicted intention. CONCLUSIONS Current findings indicate a large proportion of the variance for physical activity and intention remains unexplained and that the proposed pathways in the SCT model were not fully supported. Future model testing may need to consider augmentation or integration of theoretical models, which may include ecological components if we are to advance our understanding of physical activity behavior in this subgroup of the adolescent population.
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Affiliation(s)
| | | | | | | | | | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle at Callaghan, ATC Rm. 301C, Health and Physical Education Building, University Drive, Newcastle, NSW 2308, Australia
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Blackman KC, Zoellner J, Berrey LM, Alexander R, Fanning J, Hill JL, Estabrooks PA. Assessing the internal and external validity of mobile health physical activity promotion interventions: a systematic literature review using the RE-AIM framework. J Med Internet Res 2013; 15:e224. [PMID: 24095951 PMCID: PMC3806547 DOI: 10.2196/jmir.2745] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2013] [Revised: 08/13/2013] [Accepted: 09/15/2013] [Indexed: 12/02/2022] Open
Abstract
Background Mobile health (mHealth) interventions are effective in promoting physical activity (PA); however, the degree to which external validity indicators are reported is unclear. Objective The purpose of this systematic review was to use the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework to determine the extent to which mHealth intervention research for promoting PA reports on factors that inform generalizability across settings and populations and to provide recommendations for investigators planning to conduct this type of research. Methods Twenty articles reflecting 15 trials published between 2000 and 2012 were identified through a systematic review process (ie, queries of three online databases and reference lists of eligible articles) and met inclusion criteria (ie, implementation of mobile technologies, target physical activity, and provide original data). Two researchers coded each article using a validated RE-AIM data extraction tool (reach, efficacy/effectiveness, adoption, implementation, maintenance). Two members of the study team independently abstracted information from each article (inter-rater reliability >90%) and group meetings were used to gain consensus on discrepancies. Results The majority of studies were randomized controlled trials (n=14). The average reporting across RE-AIM indicators varied by dimension (reach=53.3%, 2.67/5; effectiveness/efficacy=60.0%, 2.4/4; adoption=11.1%, 0.7/6; implementation=24.4%, 0.7/3; maintenance=0%, 0/3). While most studies described changes in the primary outcome (effectiveness), few addressed the representativeness of participants (reach) or settings (adoption) and few reported on issues related to maintenance and degree of implementation fidelity. Conclusions This review suggests that more focus is needed on research designs that highlight and report on both internal and external validity indicators. Specific recommendations are provided to encourage future mHealth interventionists and investigators to report on representativeness, settings, delivery agents for planned interventions, the extent to which protocol is delivered as intended, and maintenance of effects at the individual or organizational level.
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Affiliation(s)
- Kacie Ca Blackman
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, United States.
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Schumacher TL, Dewar DL, Lubans DR, Morgan PJ, Watson J, Guest M, Burrows TL, Callister R, Collins CE. Dietary patterns of adolescent girls attending schools in low-income communities highlight low consumption of core foods. Nutr Diet 2013. [DOI: 10.1111/1747-0080.12084] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Tracy L. Schumacher
- School of Health Sciences; Faculty of Health and Medicine; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - Deborah L. Dewar
- School of Education; Faculty of Education and Arts; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - David R. Lubans
- School of Education; Faculty of Education and Arts; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - Philip J. Morgan
- School of Education; Faculty of Education and Arts; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - Jane Watson
- School of Health Sciences; Faculty of Health and Medicine; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - Maya Guest
- School of Health Sciences; Faculty of Health and Medicine; University of Newcastle; Callaghan New South Wales Australia
| | - Tracy L. Burrows
- School of Health Sciences; Faculty of Health and Medicine; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - Robin Callister
- School of Biomedical Sciences and Pharmacy; Faculty of Health and Medicine; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
| | - Clare E. Collins
- School of Health Sciences; Faculty of Health and Medicine; University of Newcastle; Callaghan New South Wales Australia
- Priority Research Centre for Physical Activity and Nutrition; University of Newcastle; Callaghan New South Wales Australia
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The nutrition and enjoyable activity for teen girls study: a cluster randomized controlled trial. Am J Prev Med 2013; 45:313-7. [PMID: 23953358 DOI: 10.1016/j.amepre.2013.04.014] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Revised: 03/14/2013] [Accepted: 04/30/2013] [Indexed: 11/23/2022]
Abstract
BACKGROUND Obesity prevention among youth of low SES is a public health priority given the higher prevalence of youth obesity in this population subgroup. PURPOSE To evaluate the 24-month impact of a school-based obesity prevention program among adolescent girls living in low-income communities. DESIGN The study was a school-based group RCT, the Nutrition and Enjoyable Activity for Teen Girls (NEAT Girls) intervention. SETTING/PARTICIPANTS The study involved 12 secondary schools located in low-income communities in New South Wales, Australia. Participants were 357 adolescent girls (aged 13.2 ± 0.5 years). INTERVENTION The 12-month multicomponent intervention was guided by social cognitive theory and involved strategies to promote physical activity, reduce sedentary behaviors, and improve dietary outcomes. MAIN OUTCOME MEASURES The primary outcome was BMI, and secondary outcomes were BMI z-score; percentage body fat (bioelectrical impedance analysis); physical activity (accelerometers); dietary intake; and recreational screen-time (self-report). Data were collected in 2010-2012 and analyzed in 2012. RESULTS After 24 months, there were no intervention effects on BMI (adjusted mean difference -0.33, 95% CI= -0.97, 0.28, p=0.353) and BMI z-score (-0.12, 95% CI= -0.27, 0.04, p=0.178). However, there was a group-by-time interaction for percentage body fat (-1.96%, 95% CI= -3.02, -0.89, p=0.006). Intervention effects for physical activity, screen time, and dietary intake were not significant. CONCLUSIONS The NEAT Girls intervention did not result in effects on the primary outcome. Further study of youth who are "at risk" of obesity should focus on strategies to improve retention and adherence in prevention programs. TRIAL REGISTRATION This study is registered at Australian New Zealand Clinical Trials ACTRN1261000033004.
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Dewar DL, Morgan PJ, Plotnikoff RC, Okely AD, Batterham M, Lubans DR. Exploring changes in physical activity, sedentary behaviors and hypothesized mediators in the NEAT girls group randomized controlled trial. J Sci Med Sport 2013; 17:39-46. [PMID: 23506657 DOI: 10.1016/j.jsams.2013.02.003] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2012] [Revised: 02/01/2013] [Accepted: 02/10/2013] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To evaluate the impact of a 12-month school-based multi-component program on adolescent girls' physical activity and sedentary behaviors, and hypothesized mediators of physical activity behavior change. DESIGN Group randomized controlled trial with 12-month follow-up. METHODS The intervention, guided by Social Cognitive Theory, involved 357 adolescent girls (13.2 ± 0.5 years) from 12 secondary schools (6 intervention schools, 6 control schools) in low-income communities in the Hunter and Central Coast regions of New South Wales, Australia. The intervention included enhanced school sport, lunchtime physical activity sessions, interactive seminars, student handbooks, nutrition workshops, pedometers, parent newsletters and text messages to encourage physical activity and healthy eating, and a decrease in sedentary behavior. Outcomes were assessed at baseline and 12-months and included: physical activity (accelerometers), sedentary behaviors (questionnaire and accelerometers), and social-cognitive mediators of physical activity (questionnaire). RESULTS There were significant between group differences in favor of the intervention group for self-reported recreational computer use (-26.0 min; 95% CI, -46.9 to -5.1), and sedentary activities summed (-56.4 min; 95% CI, -110.1 to -2.7), however objective sedentary behavior showed no differences. There were no group-by-time effects for any of the physical activity outcomes or hypothesized mediators. CONCLUSIONS A school-based intervention tailored for adolescent girls from schools located in low-income communities significantly reduced time spent in sedentary activities. However, improvements in physical activity and hypothesized mediators of physical activity behavior were not observed. Future studies are encouraged to explore alternative mechanisms of behavior change derived from integrated and socio-ecological theories.
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Affiliation(s)
- Deborah L Dewar
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | - Philip J Morgan
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia; School of Education, University of Newcastle, Newcastle, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia; School of Education, University of Newcastle, Newcastle, Australia
| | - Anthony D Okely
- Interdisciplinary Educational Research Institute, University of Wollongong, Wollongong, Australia
| | - Marijka Batterham
- Centre for Statistical and Survey Methodology, University of Wollongong, Wollongong, Australia
| | - David R Lubans
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia; School of Education, University of Newcastle, Newcastle, Australia.
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Dobbins M, Husson H, DeCorby K, LaRocca RL. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev 2013; 2013:CD007651. [PMID: 23450577 PMCID: PMC7197501 DOI: 10.1002/14651858.cd007651.pub2] [Citation(s) in RCA: 424] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND The World Health Organization (WHO) estimates that 1.9 million deaths worldwide are attributable to physical inactivity and at least 2.6 million deaths are a result of being overweight or obese. In addition, WHO estimates that physical inactivity causes 10% to 16% of cases each of breast cancer, colon, and rectal cancers as well as type 2 diabetes, and 22% of coronary heart disease and the burden of these and other chronic diseases has rapidly increased in recent decades. OBJECTIVES The purpose of this systematic review was to summarize the evidence of the effectiveness of school-based interventions in promoting physical activity and fitness in children and adolescents. SEARCH METHODS The search strategy included searching several databases to October 2011. In addition, reference lists of included articles and background papers were reviewed for potentially relevant studies, as well as references from relevant Cochrane reviews. Primary authors of included studies were contacted as needed for additional information. SELECTION CRITERIA To be included, the intervention had to be relevant to public health practice (focused on health promotion activities), not conducted by physicians, implemented, facilitated, or promoted by staff in local public health units, implemented in a school setting and aimed at increasing physical activity, included all school-attending children, and be implemented for a minimum of 12 weeks. In addition, the review was limited to randomized controlled trials and those that reported on outcomes for children and adolescents (aged 6 to 18 years). Primary outcomes included: rates of moderate to vigorous physical activity during the school day, time engaged in moderate to vigorous physical activity during the school day, and time spent watching television. Secondary outcomes related to physical health status measures including: systolic and diastolic blood pressure, blood cholesterol, body mass index (BMI), maximal oxygen uptake (VO2max), and pulse rate. DATA COLLECTION AND ANALYSIS Standardized tools were used by two independent reviewers to assess each study for relevance and for data extraction. In addition, each study was assessed for risk of bias as specified in the Cochrane Handbook for Systematic Reviews of Interventions. Where discrepancies existed, discussion occurred until consensus was reached. The results were summarized narratively due to wide variations in the populations, interventions evaluated, and outcomes measured. MAIN RESULTS In the original review, 13,841 records were identified and screened, 302 studies were assessed for eligibility, and 26 studies were included in the review. There was some evidence that school-based physical activity interventions had a positive impact on four of the nine outcome measures. Specifically positive effects were observed for duration of physical activity, television viewing, VO2 max, and blood cholesterol. Generally, school-based interventions had little effect on physical activity rates, systolic and diastolic blood pressure, BMI, and pulse rate. At a minimum, a combination of printed educational materials and changes to the school curriculum that promote physical activity resulted in positive effects.In this update, given the addition of three new inclusion criteria (randomized design, all school-attending children invited to participate, minimum 12-week intervention) 12 of the original 26 studies were excluded. In addition, studies published between July 2007 and October 2011 evaluating the effectiveness of school-based physical interventions were identified and if relevant included. In total an additional 2378 titles were screened of which 285 unique studies were deemed potentially relevant. Of those 30 met all relevance criteria and have been included in this update. This update includes 44 studies and represents complete data for 36,593 study participants. Duration of interventions ranged from 12 weeks to six years.Generally, the majority of studies included in this update, despite being randomized controlled trials, are, at a minimum, at moderate risk of bias. The results therefore must be interpreted with caution. Few changes in outcomes were observed in this update with the exception of blood cholesterol and physical activity rates. For example blood cholesterol was no longer positively impacted upon by school-based physical activity interventions. However, there was some evidence to suggest that school-based physical activity interventions led to an improvement in the proportion of children who engaged in moderate to vigorous physical activity during school hours (odds ratio (OR) 2.74, 95% confidence interval (CI), 2.01 to 3.75). Improvements in physical activity rates were not observed in the original review. Children and adolescents exposed to the intervention also spent more time engaged in moderate to vigorous physical activity (with results across studies ranging from five to 45 min more), spent less time watching television (results range from five to 60 min less per day), and had improved VO2max (results across studies ranged from 1.6 to 3.7 mL/kg per min). However, the overall conclusions of this update do not differ significantly from those reported in the original review. AUTHORS' CONCLUSIONS The evidence suggests the ongoing implementation of school-based physical activity interventions at this time, given the positive effects on behavior and one physical health status measure. However, given these studies are at a minimum of moderate risk of bias, and the magnitude of effect is generally small, these results should be interpreted cautiously. Additional research on the long-term impact of these interventions is needed.
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