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Long KZ, Beckmann J, Lang C, Seelig H, Nqweniso S, Probst-Hensch N, Pühse U, Steinmann P, Randt RD, Walter C, Utzinger J, Gerber M. Randomized Trial to Improve Body Composition and Micronutrient Status Among South African Children. Am J Prev Med 2024; 66:1078-1088. [PMID: 38309672 DOI: 10.1016/j.amepre.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/05/2024]
Abstract
INTRODUCTION Physical activity (PA) promotion combined with multimicronutrient supplementation (MMNS) among school-age children may reduce fat mass accrual and increase muscle mass through different mechanisms and so benefit child health. This study determined the efficacy of combined interventions on body composition among South African schoolchildren and determined if micronutrients mediate these effects. STUDY DESIGN Longitudinal cluster randomized controlled trial of children followed from 2019 to 2021. Statistical analyses carried from 2022 to 2023. SETTING/PARTICIPANTS A total of 1,304 children 6-12 years of age recruited from public schools in Gqeberha, South Africa. INTERVENTION Children were randomized by classes to either: (a) a physical activity group (PA); (b) a MMNS group; (c) a physical activity + multimicronutrient supplementation group (PA + MMNS); and (d) a placebo control group. MAIN OUTCOME MEASURES Trajectories of overall and truncal fat free mass (FFM) and fat mass (FM) estimates in modeled at 9 and 21 months using latent growth curve models (LGCM). Changes in micronutrient concentrations at 9 months from baseline. RESULTS An increased FFM trajectory was found among children in the MMNS arm at 9 months (Beta 0.16, 95% CI = 0.12, 0.31). The PA and MMNS arms both had positive indirect effects on this trajectory at 9 months (Beta 0.66, 95% CI = 0.44, 0.88 and Beta 0.32 95% CI = 0.1 0.5, respectively) and similarly at 21 months when mediated by zinc concentration changes. A reduced FM trajectory was found among children in the PA promotion arm at 9 months when using this collection point as the referent intercept. This arm was inversely associated with the FM trajectory at 9 months when mediated by zinc changes. CONCLUSIONS PA and MMNS promotion in school-based interventions directly contributed to reductions in FM and increased FFM among South African children and indirectly through changes in micronutrient status. TRIAL REGISTRATION ISRCTN, ISRCTN29534081. Registered on August 9, 2018 Institutional review board: Ethikkommission Nordwest- und Zentralschweiz" (EKNZ, project number: Req-2018-00608). Date of approval: 2018.
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Affiliation(s)
- Kurt Z Long
- Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland.
| | - Johanna Beckmann
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Christin Lang
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Harald Seelig
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Siphesihle Nqweniso
- Department of Human Movement Science, Nelson Mandela University, Port Elizabeth, South Africa
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
| | - Uwe Pühse
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Peter Steinmann
- Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
| | - Rosa du Randt
- Department of Human Movement Science, Nelson Mandela University, Port Elizabeth, South Africa
| | - Cheryl Walter
- Department of Human Movement Science, Nelson Mandela University, Port Elizabeth, South Africa
| | - Jürg Utzinger
- Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
| | - Markus Gerber
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
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Spiga F, Davies AL, Tomlinson E, Moore TH, Dawson S, Breheny K, Savović J, Gao Y, Phillips SM, Hillier-Brown F, Hodder RK, Wolfenden L, Higgins JP, Summerbell CD. Interventions to prevent obesity in children aged 5 to 11 years old. Cochrane Database Syst Rev 2024; 5:CD015328. [PMID: 38763517 PMCID: PMC11102828 DOI: 10.1002/14651858.cd015328.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
BACKGROUND Prevention of obesity in children is an international public health priority given the prevalence of the condition (and its significant impact on health, development and well-being). Interventions that aim to prevent obesity involve behavioural change strategies that promote healthy eating 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 children 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 children (mean age 5 years and above but less than 12 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 body mass index (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 172 studies (189,707 participants); 149 studies (160,267 participants) were included in meta-analyses. One hundred forty-six studies were based in high-income countries. The main setting for intervention delivery was schools (111 studies), followed by the community (15 studies), the home (eight studies) and a clinical setting (seven studies); one intervention was conducted by telehealth and 31 studies were conducted in more than one setting. Eighty-six interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over four years. Non-industry funding was declared by 132 studies; 24 studies were funded in part or wholly by industry. Dietary interventions versus control Dietary interventions, compared with control, may have little to no effect on BMI at short-term follow-up (mean difference (MD) 0, 95% confidence interval (CI) -0.10 to 0.10; 5 studies, 2107 participants; low-certainty evidence) and at medium-term follow-up (MD -0.01, 95% CI -0.15 to 0.12; 9 studies, 6815 participants; low-certainty evidence) or zBMI at long-term follow-up (MD -0.05, 95% CI -0.10 to 0.01; 7 studies, 5285 participants; low-certainty evidence). Dietary interventions, compared with control, probably have little to no effect on BMI at long-term follow-up (MD -0.17, 95% CI -0.48 to 0.13; 2 studies, 945 participants; moderate-certainty evidence) and zBMI at short- or medium-term follow-up (MD -0.06, 95% CI -0.13 to 0.01; 8 studies, 3695 participants; MD -0.04, 95% CI -0.10 to 0.02; 9 studies, 7048 participants; moderate-certainty evidence). Five studies (1913 participants; very low-certainty evidence) reported data on serious adverse events: one reported serious adverse events (e.g. allergy, behavioural problems and abdominal discomfort) that may have occurred as a result of the intervention; four reported no effect. Activity interventions versus control Activity interventions, compared with control, may have little to no effect on BMI and zBMI at short-term or long-term follow-up (BMI short-term: MD -0.02, 95% CI -0.17 to 0.13; 14 studies, 4069 participants; zBMI short-term: MD -0.02, 95% CI -0.07 to 0.02; 6 studies, 3580 participants; low-certainty evidence; BMI long-term: MD -0.07, 95% CI -0.24 to 0.10; 8 studies, 8302 participants; zBMI long-term: MD -0.02, 95% CI -0.09 to 0.04; 6 studies, 6940 participants; low-certainty evidence). Activity interventions likely result in a slight reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.18 to -0.05; 16 studies, 21,286 participants; zBMI: MD -0.05, 95% CI -0.09 to -0.02; 13 studies, 20,600 participants; moderate-certainty evidence). Eleven studies (21,278 participants; low-certainty evidence) reported data on serious adverse events; one study reported two minor ankle sprains and one study reported the incident rate of adverse events (e.g. musculoskeletal injuries) that may have occurred as a result of the intervention; nine studies reported no effect. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, may result in a slight reduction in BMI and zBMI at short-term follow-up (BMI: MD -0.11, 95% CI -0.21 to -0.01; 27 studies, 16,066 participants; zBMI: MD -0.03, 95% CI -0.06 to 0.00; 26 studies, 12,784 participants; low-certainty evidence) and likely result in a reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.21 to 0.00; 21 studies, 17,547 participants; zBMI: MD -0.05, 95% CI -0.07 to -0.02; 24 studies, 20,998 participants; moderate-certainty evidence). Dietary and activity interventions compared with control may result in little to no difference in BMI and zBMI at long-term follow-up (BMI: MD 0.03, 95% CI -0.11 to 0.16; 16 studies, 22,098 participants; zBMI: MD -0.02, 95% CI -0.06 to 0.01; 22 studies, 23,594 participants; low-certainty evidence). Nineteen studies (27,882 participants; low-certainty evidence) reported data on serious adverse events: four studies reported occurrence of serious adverse events (e.g. injuries, low levels of extreme dieting behaviour); 15 studies reported no effect. Heterogeneity was apparent in the results for all outcomes at the three follow-up times, which could not be explained by the main setting of the interventions (school, home, school and home, other), country income status (high-income versus non-high-income), participants' socioeconomic status (low versus mixed) and duration of the intervention. Most studies excluded children with a mental or physical disability. AUTHORS' CONCLUSIONS The body of evidence in this review demonstrates that a range of school-based 'activity' interventions, alone or in combination with dietary interventions, may have a modest beneficial effect on obesity in childhood at short- and medium-term, but not at long-term follow-up. Dietary interventions alone may result in little to no difference. Limited evidence of low quality was identified on the effect of dietary and/or activity interventions on severe adverse events and health inequalities; exploratory analyses of these data suggest no meaningful impact. We identified a dearth of evidence for home and community-based settings (e.g. delivered through local youth groups), for children living with disabilities and indicators of health inequities.
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Affiliation(s)
- Francesca Spiga
- 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
| | - Eve Tomlinson
- 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) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, 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) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Yang Gao
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong
| | - Sophie M Phillips
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Child Health and Physical Activity Laboratory, School of Occupational Therapy, Western University, London, Ontario, Canada
| | - Frances Hillier-Brown
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Human Nutrition Research Centre and Population Health Sciences Institute, University of Newcastle, Newcastle, 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
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, 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) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, 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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Gerber M, Lang C, Beckmann J, du Randt R, Long KZ, Müller I, Nienaber M, Probst-Hensch N, Steinmann P, Pühse U, Utzinger J, Nqweniso S, Walter C. Physical Activity, Sedentary Behaviour, Weight Status, and Body Composition among South African Primary Schoolchildren. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811836. [PMID: 36142108 PMCID: PMC9517541 DOI: 10.3390/ijerph191811836] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/05/2022] [Accepted: 09/14/2022] [Indexed: 05/17/2023]
Abstract
Background: Over the past decades, childhood overweight has increased in many African countries. We examined the relationship between sedentary behaviour, moderate-to-vigorous physical activity (MVPA), and body composition in South African primary schoolchildren living in peri-urban settings. Methods: MVPA was measured via 7-day accelerometry and body composition via bioelectrical impedance analysis in 1090 learners (49.2% girls, Mage = 8.3 ± 1.4 years). The relationships between MVPA and sedentary behaviour with the various body composition indicators (body fat and fat-free mass [total, truncal, arms, and legs], bone mass, muscle mass, and body water) were tested with mixed linear regressions. Results: The prevalence of overweight and obesity was 9.8% and 6.6%, respectively; 77.1% of the children engaged in ≥60 min of MVPA/day. Girls were more likely to be overweight/obese, to accumulate less than 60 min of MVPA/day, and had significantly higher relative body fat than boys (ps < 0.001). Lower MVPA was associated with a higher likelihood of being overweight/obese, higher relative body fat, and lower relative fat-free mass, bone mass, muscle mass, and body water (ps < 0.001). For lower sedentary behaviour, the associations with body composition pointed in the opposite direction. Conclusions: In this South African setting, girls are a particularly relevant target group for future physical activity interventions to prevent overweight/obesity-related non-communicable diseases in later life.
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Affiliation(s)
- Markus Gerber
- Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, CH-4052 Basel, Switzerland
- Correspondence: ; Tel.: +41-61-207-4783
| | - Christin Lang
- Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, CH-4052 Basel, Switzerland
| | - Johanna Beckmann
- Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, CH-4052 Basel, Switzerland
| | - Rosa du Randt
- Human Movement Science, Nelson Mandela University, P.O. Box 7700, Gqeberha 6031, South Africa
| | - Kurt Z. Long
- Swiss Tropical and Public Health Institute, Kreuzstrasse 2, CH-4123 Allschwil, Switzerland
- University of Basel, Petersplatz 1, CH-4001 Basel, Switzerland
| | - Ivan Müller
- Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, CH-4052 Basel, Switzerland
| | - Madeleine Nienaber
- Human Movement Science, Nelson Mandela University, P.O. Box 7700, Gqeberha 6031, South Africa
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Kreuzstrasse 2, CH-4123 Allschwil, Switzerland
- University of Basel, Petersplatz 1, CH-4001 Basel, Switzerland
| | - Peter Steinmann
- Swiss Tropical and Public Health Institute, Kreuzstrasse 2, CH-4123 Allschwil, Switzerland
- University of Basel, Petersplatz 1, CH-4001 Basel, Switzerland
| | - Uwe Pühse
- Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, CH-4052 Basel, Switzerland
| | - Jürg Utzinger
- Swiss Tropical and Public Health Institute, Kreuzstrasse 2, CH-4123 Allschwil, Switzerland
- University of Basel, Petersplatz 1, CH-4001 Basel, Switzerland
| | - Siphesihle Nqweniso
- Human Movement Science, Nelson Mandela University, P.O. Box 7700, Gqeberha 6031, South Africa
| | - Cheryl Walter
- Human Movement Science, Nelson Mandela University, P.O. Box 7700, Gqeberha 6031, South Africa
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