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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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Hodder RK, O'Brien KM, Lorien S, Wolfenden L, Moore TH, Hall A, Yoong SL, Summerbell C. Interventions to prevent obesity in school-aged children 6-18 years: An update of a Cochrane systematic review and meta-analysis including studies from 2015-2021. EClinicalMedicine 2022; 54:101635. [PMID: 36281235 PMCID: PMC9581512 DOI: 10.1016/j.eclinm.2022.101635] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background Childhood obesity remains a global public health priority due to the enormous burden it generates. Recent surveillance data suggests there has been a sharp increase in the prevalence of childhood obesity during the COVID-19 pandemic. The Cochrane review of childhood obesity prevention interventions (0-18 years) updated to 2015 is the most rigorous and comprehensive review of randomised controlled trials (RCTs) on this topic. A burgeoning number of high quality studies have been published since that are yet to be synthesised. Methods An update of the Cochrane systematic review was conducted to include RCT studies in school-aged children (6-18 years) published to 30 June 2021 that assessed effectiveness on child weight (PROSPERO registration: CRD42020218928). Available cost-effectiveness and adverse effect data were extracted. Intervention effects on body mass index (BMI) were synthesised in random effects meta-analyses by setting (school, after-school program, community, home), and meta-regression examined the association of study characteristics with intervention effect. Findings Meta-analysis of 140 of 195 included studies (183,063 participants) found a very small positive effect on body mass index for school-based studies (SMD -0·03, 95%CI -0·06,-0·01; trials = 93; participants = 131,443; moderate certainty evidence) but not after-school programs, community or home-based studies. Subgroup analysis by age (6-12 years; 13-18 years) found no differential effects in any setting. Meta-regression found no associations between study characteristics (including setting, income level) and intervention effect. Ten of 53 studies assessing adverse effects reported presence of an adverse event. Insufficient data was available to draw conclusions on cost-effectiveness. Interpretation This updated synthesis of obesity prevention interventions for children aged 6-18 years, found a small beneficial impact on child BMI for school-based obesity prevention interventions. A more comprehensive assessment of interventions is required to identify mechanisms of effective interventions to inform future obesity prevention public health policy, which may be particularly salient in for COVID-19 recovery planning. Funding This research was funded by the National Health and Medical Research Council (NHMRC), Australia (Application No APP1153479).
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Affiliation(s)
- Rebecca K. Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Kate M. O'Brien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sasha Lorien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Theresa H.M. Moore
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol National Health Service Foundation Trust, Whitefriars, Lewins Mean, Bristol, BS1 2NT, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Beacon House, Queens Road, Bristol, United Kingdom
| | - Alix Hall
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
- Global Obesity Centre, Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Stockton Road, Durham DH1 3LE, United Kingdom
- Fuse, The NIHR Centre for Translational Research in Public Health, United Kingdom
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Tirandi A, Montecucco F, Liberale L. Physical activity to reduce PCSK9 levels. Front Cardiovasc Med 2022; 9:988698. [PMID: 36093150 PMCID: PMC9453490 DOI: 10.3389/fcvm.2022.988698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
The amount of physical activity (PA) people practice everyday has been reducing in the last decades. Sedentary subjects tend to have an impaired lipid plasma profile with a higher risk of atherosclerosis and related cardio- and cerebrovascular events. Regular PA helps in both primary and secondary cardiovascular prevention because of its beneficial effect on the whole metabolism. Several studies reported lower levels of plasma lipids in trained subjects, but the precise mechanisms by which PA modulates lipoproteins remain only partially described. Thereupon, proprotein convertase subtilisin/kexin type 9 (PCSK9) is a serin protease whose main function is to reduce the amount of low-density lipoprotein cholesterol (LDL-C) receptors, with the direct consequence of reducing LDL-C uptake by the liver and increasing its circulating pool. Accordingly, recently developed PCSK9 inhibitors improved cardiovascular prevention and are increasingly used to reach LDL-C goals in patients at high CV risk. Whether PA can modulate the levels of PCSK9 remains partially explored. Recent studies suggest PA as a negative modulator of such a deleterious CV mediator. Yet the level of evidence is limited. The aim of this review is to summarize the recent reports concerning the regulatory role of PA on PCSK9 plasma levels, highlighting the beneficial role of regular exercise on the prevention of atherosclerosis and overall CV health.
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Affiliation(s)
- Amedeo Tirandi
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy
| | - Fabrizio Montecucco
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
| | - Luca Liberale
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
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Casado-Robles C, Viciana J, Guijarro-Romero S, Mayorga-Vega D. Effects of Consumer-Wearable Activity Tracker-Based Programs on Objectively Measured Daily Physical Activity and Sedentary Behavior Among School-Aged Children: A Systematic Review and Meta-analysis. SPORTS MEDICINE - OPEN 2022; 8:18. [PMID: 35099630 PMCID: PMC8804065 DOI: 10.1186/s40798-021-00407-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 12/29/2021] [Indexed: 01/30/2023]
Abstract
BACKGROUND The popularity of consumer-wearable activity trackers has led the scientific community to conduct an increasing number of intervention studies integrating them to promote physical activity (PA) and to reduce sedentary behavior (SB) levels among school-aged children. Therefore, the aim of the present study was to estimate the effects of consumer-wearable activity tracker-based programs on daily objectively measured PA and SB among apparently healthy school-aged children, as well as to compare the influence of participants' and programs' characteristics. METHODS Eligibility criteria were: (1) participants: apparently healthy school-aged children (< 18 years old); (2) intervention: aimed to promote PA and/or to reduce SB incorporating consumer-wearable activity trackers; (3) comparator: baseline measurements and/or a control/traditional group; (4) outcomes: objectively measured daily PA and/or SB levels; (5) study design: pre-experimental, quasi-experimental, and true-experimental trials. Relevant studies were searched from eight databases up to December 2020, as well as from four alternative modes of searching. Based on the Cochrane Risk-of-bias tool 2, the risk of bias was assessed following four domains: (1) randomization process; (2) missing outcome data; (3) measurement of the outcomes; and (4) selection of the reported results. Based on a comprehensive systematic review, meta-analyses of the Cohen's standardized mean difference (d) and 95% confidence interval (CI) with a random-effects model were conducted to estimate the overall effects, as well as the within- and between-study subgroups analyses effects, of the programs on daily total steps, moderate-to-vigorous PA (MVPA), total PA and SB. RESULTS Forty-four publications (i.e., 45 studies) were included in the systematic review (5,620 unique participants; mean age = 12.85 ± 2.84 years) and 40 publications (i.e., 41 studies) in the meta-analysis. Programs had a mean length of 11.78 ± 13.17 weeks and most used a waist-worn consumer-wearable activity tracker (77.78% waist-worn; 22.22% wrist-worn). Programs characteristics were: goal-setting strategies (64.06%); participants' logbooks (56.25%); counseling sessions (62.50%); reminders (28.13%); motivational strategies (42.19%); and exercise routine (17.19%). Results showed a statistically significant moderate favorable effect on daily total steps (d = 0.612, 95% CI 0.477-0.746), small favorable effect on daily MVPA (d = 0.220, 95% CI 0.134-0.307), trivial favorable effect on daily total PA (d = 0.151, 95% CI 0.038-0.264) and trivial unfavorable effect on daily SB (d = 0.172, 95% CI 0.039-0.305). Subgroups analyses showed a higher effect for daily total steps and daily MVPA levels in females and the physically inactive for daily total steps (p = 0.003-0.044). Programs with educational counseling and/or goal-setting strategies, as well as a greater number of strategies, were more effective for improving children's daily total steps, and wrist-worn activity trackers were more effective than waist-worn trackers for improving their daily MVPA levels (p = 0.001-0.021). CONCLUSIONS Consumer-wearable activity tracker-based programs seem to be effective in promoting school-aged children's daily total steps and MVPA levels, especially for females and those that are physically inactive. These programs should include specific goal-setting, educational counseling, and wrist-worn trackers as especially effective strategies. However, due to the certainty of evidence being from "low" to "moderate", future well-designed primary research studies about the topic are needed. PROSPERO CRD42020222363.
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Affiliation(s)
| | - Jesús Viciana
- Department of Physical Education and Sport, University of Granada, Granada, Spain
| | | | - Daniel Mayorga-Vega
- Department of Didactic of Musical, Plastic and Corporal Expression, University of Jaen, Paraje de las Lagunillas, Campus de Las Lagunillas, Edificio Humanidades y Ciencias de la Educación I (D2-D136), 23071, Jaén, Spain.
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The Effects of Physical Activity and Diet Interventions on Body Mass Index in Latin American Children and Adolescents: A Systematic Review and Meta-Analysis. Nutrients 2020; 12:nu12051378. [PMID: 32408483 PMCID: PMC7284900 DOI: 10.3390/nu12051378] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/07/2020] [Accepted: 05/08/2020] [Indexed: 12/31/2022] Open
Abstract
The objective of this systematic review and meta-analysis is to compare the effect of physical activity only with that of physical activity plus diet interventions on body mass index (BMI) in Latin American children and adolescents. We searched the Medline, Embase, Scopus, Web of Science, and Scielo databases from their inception until March 2020, including studies examining the effect of physical activity or physical activity plus diet interventions on BMI in children and adolescents and based on data from intervention studies. The DerSimonian and Laird method was used to compute a pooled standardized mean difference for BMI in terms of effect size (ES) and respective 95% confidence intervals (CIs). Eighteen studies were included. Analyses were performed based on intervention (four studies were included for physical activity only and four studies were included for physical activity plus diet). In the analysis of physical activity only versus control, there was no effect on BMI (ES = 0.00; 95% CI −0.17–0.17, I2 = 0.0%; p = 0.443). In the analysis of physical activity plus diet versus control, there was a decrease in BMI in favour of the intervention group (ES = −0.28; 95% CI −0.42–−0.14, I2 = 74.5%; p = 0.001). When ES was estimated considering only the effect in intervention groups, there was no evidence of a decrease in BMI (ES = −0.17; 95% CI −0.44–0.11, I2 = 84.5%; p < 0.001) for physical activity only (eight studies). However, there was a statistically significant decrease in BMI (ES = −0.30; 95% CI −0.50–0.11, I2 = 95.8%; p < 0.001) for physical activity plus diet (ten studies). Some limitations of this review could compromise our results, but the main limitation that should be stated is the quality of the studies (mainly medium/moderate), especially as physical activity and diet interventions cannot be blinded, compromising the quality of these studies. In summary, this meta-analysis offers evidence that physical activity plus diet interventions produced a reduction in BMI in Latin American children and adolescents, but physical activity only interventions did not.
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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: 324] [Impact Index Per Article: 54.0] [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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7
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Kelley GA, Kelley KS, Pate RR. Exercise and adiposity in overweight and obese children and adolescents: protocol for a systematic review and network meta-analysis of randomised trials. BMJ Open 2017; 7:e019512. [PMID: 29288191 PMCID: PMC5770943 DOI: 10.1136/bmjopen-2017-019512] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 11/17/2017] [Accepted: 11/20/2017] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Overweight and obesity is a worldwide public health problem among children and adolescents. However, the magnitude of effect, as well as hierarchy of exercise interventions (aerobic, strength training or both), on selected measures of adiposity is not well established despite numerous trials on this issue. The primary purposes of this study are to use the network meta-analytical approach to determine the effects and hierarchy of exercise interventions on selected measures of adiposity in overweight and obese children and adolescents. METHODS AND ANALYSIS Randomised exercise intervention trials >4 weeks, available in any language up to 31 August 2017 and which include direct and/or indirect evidence, will be included. Studies will be located by searching seven electronic databases, cross-referencing and expert review. Dual selection and abstraction of data will occur. The primary outcomes will be changes in body mass index (in kg/m2), fat mass and percent body fat. Risk of bias will be assessed using the Cochrane Risk of Bias assessment instrument while confidence in the cumulative evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation instrument for network meta-analysis. Network meta-analysis will be performed using multivariate random-effects meta-regression models. The surface under the cumulative ranking curve will be used to provide a hierarchy of exercise treatments (aerobic, strength or both). ETHICS AND DISSEMINATION This study does not require ethics approval. Findings will be presented at a professional conference and published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD 42017073103 .
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Affiliation(s)
- George A Kelley
- Department of Biostatistics, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Kristi S Kelley
- Department of Biostatistics, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Russell R Pate
- Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
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Avilés-Santa ML, Colón-Ramos U, Lindberg NM, Mattei J, Pasquel FJ, Pérez CM. From Sea to Shining Sea and the Great Plains to Patagonia: A Review on Current Knowledge of Diabetes Mellitus in Hispanics/Latinos in the US and Latin America. Front Endocrinol (Lausanne) 2017; 8:298. [PMID: 29176960 PMCID: PMC5687125 DOI: 10.3389/fendo.2017.00298] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 10/16/2017] [Indexed: 12/13/2022] Open
Abstract
The past two decades have witnessed many advances in the prevention, treatment, and control of diabetes mellitus (DM) and its complications. Increased screening has led to a greater recognition of type 2 diabetes mellitus (type 2 DM) and prediabetes; however, Hispanics/Latinos, the largest minority group in the US, have not fully benefited from these advances. The Hispanic/Latino population is highly diverse in ancestries, birth places, cultures, languages, and socioeconomic backgrounds, and it populates most of the Western Hemisphere. In the US, the prevalence of DM varies among Hispanic/Latino heritage groups, being higher among Mexicans, Puerto Ricans, and Dominicans, and lower among South Americans. The risk and prevalence of diabetes among Hispanics/Latinos are significantly higher than in non-Hispanic Whites, and nearly 40% of Hispanics/Latinos with diabetes have not been formally diagnosed. Despite these striking facts, the representation of Hispanics/Latinos in pharmacological and non-pharmacological clinical trials has been suboptimal, while the prevalence of diabetes in these populations continues to rise. This review will focus on the epidemiology, etiology and prevention of type 2 DM in populations of Latin American origin. We will set the stage by defining the terms Hispanic, Latino, and Latin American, explaining the challenges identifying Hispanics/Latinos in the scientific literature and databases, describing the epidemiology of diabetes-including type 2 DM and gestational diabetes mellitus (GDM)-and cardiovascular risk factors in Hispanics/Latinos in the US and Latin America, and discussing trends, and commonalities and differences across studies and populations, including methodology to ascertain diabetes. We will discuss studies on mechanisms of disease, and research on prevention of type 2 DM in Hispanics/Latinos, including women with GDM, youth and adults; and finalize with a discussion on lessons learned and opportunities to enhance research, and, consequently, clinical care oriented toward preventing type 2 DM in Hispanics/Latinos in the US and Latin America.
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Affiliation(s)
- M. Larissa Avilés-Santa
- National Heart, Lung, and Blood Institute at the National Institutes of Health, Bethesda, MD, United States
| | - Uriyoán Colón-Ramos
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Nangel M. Lindberg
- Kaiser Permanente Center for Health Research, Portland, OR, United States
| | - Josiemer Mattei
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Francisco J. Pasquel
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States
| | - Cynthia M. Pérez
- University of Puerto Rico Graduate School of Public Health, San Juan, Puerto Rico
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Luévano-Contreras C, Gómez-Ojeda A, Macías-Cervantes MH, Garay-Sevilla ME. Dietary Advanced Glycation End Products and Cardiometabolic Risk. Curr Diab Rep 2017; 17:63. [PMID: 28695383 DOI: 10.1007/s11892-017-0891-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW This report analyzes emerging evidence about the role of dietary advanced glycation end products (AGEs) as a cardiometabolic risk factor. Two important aspects are discussed: First, the modulation of AGE load by dietary AGEs; second, if the evidence of clinical and observational studies is enough to make dietary recommendations towards lowering AGE intake. RECENT FINDINGS Clinical studies in subjects with diabetes mellitus have shown that high intake of dietary AGEs increases inflammation markers, oxidative stress, and could impair endothelial function. In subjects at risk for cardiometabolic diseases (with overweight, obesity, or prediabetes), dietary AGE restriction decreases some inflammatory molecules and improves insulin sensitivity. However, studies in healthy subjects are limited, and not all of the studies have shown a decrease in circulating AGEs. Therefore, it is still unclear if dietary AGEs represent a health concern for people potentially at risk for cardiometabolic diseases. The evidence shows that dietary AGEs are bioavailable and absorbed, and the rate of excretion depends on dietary intake. The metabolic fate of most dietary AGEs remains unknown. Regardless, most studies have shown that by diminishing AGE intake, circulating levels will also decrease. Thus, dietary AGEs can modulate the AGE load at least in patients with DM, overweight, or obesity. Studies with specific clinical outcomes and large-scale observational studies are needed for a better risk assessment of dietary AGEs and to establish dietary recommendations accordingly.
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Affiliation(s)
- Claudia Luévano-Contreras
- Department of Medical Sciences, University of Guanajuato, 20 de Enero 929, León, Guanajuato, Mexico.
| | - Armando Gómez-Ojeda
- Department of Medical Sciences, University of Guanajuato, 20 de Enero 929, León, Guanajuato, Mexico
| | | | - Ma Eugenia Garay-Sevilla
- Department of Medical Sciences, University of Guanajuato, 20 de Enero 929, León, Guanajuato, Mexico
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Viitasalo A, Eloranta AM, Lintu N, Väistö J, Venäläinen T, Kiiskinen S, Karjalainen P, Peltola J, Lampinen EK, Haapala EA, Paananen J, Schwab U, Lindi V, Lakka TA. The effects of a 2-year individualized and family-based lifestyle intervention on physical activity, sedentary behavior and diet in children. Prev Med 2016; 87:81-88. [PMID: 26915641 DOI: 10.1016/j.ypmed.2016.02.027] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 02/16/2016] [Accepted: 02/18/2016] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To investigate the effects of a long-term, individualized and family-based lifestyle intervention on physical activity, sedentary behavior and diet quality in children. METHODS We carried out a 2-year intervention study in a population sample of 506 children aged 6-8years in Finland in 2007-2012. We allocated the participants at baseline in the intervention and control group. We assessed physical activity and sedentary behavior by questionnaires and diet by food records. RESULTS Total physical activity (+9min/d in intervention group vs. -5min/d in control group, p=0.001 for time*group interaction), unsupervised physical activity (+7min/d vs. -9min/d, p<0.001) and organized sports (+8min/d vs. +3min/d, p=0.001) increased in the intervention group but not in the control group. Using computer and playing video games increased less in the intervention group than in the control group (+9min/d vs. +19min/d, p=0.003). Consumption of vegetables (+12g/d vs. -12g/d, p=0.001), high-fat vegetable-oil based margarine (+10g/d vs. +3g/d, p<0.001) and low-fat milk (+69g/d vs. +11g/d, p=0.042) and intake of dietary fiber (+1.3g/d vs. +0.2g/d, p=0.023), vitamin C (+4.5mg/d vs. -7.2mg/d, p=0.042) and vitamin E (+1.4mg/d vs. +0.5mg/d, p=0.002) increased in the intervention group but not in the control group. Consumption of butter-based spreads increased in the control group but not in the intervention group (+2g/d vs. -1g/d, p=0.002). CONCLUSIONS Individualized and family-based lifestyle intervention increased physical activity, attenuated increase in sedentary behavior and enhanced diet quality in children. TRIAL REGISTRATION ClinicalTrials.gov: NCT01803776.
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Affiliation(s)
- Anna Viitasalo
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Aino-Maija Eloranta
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Niina Lintu
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Juuso Väistö
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Taisa Venäläinen
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland; Institute of Public Health and Clinical Nutrition, Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
| | - Sanna Kiiskinen
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Panu Karjalainen
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Jaana Peltola
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Eeva-Kaarina Lampinen
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Eero A Haapala
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland; Department of Biology of Physical Activity, University of Jyväskylä, Jyväskylä, Finland.
| | - Jussi Paananen
- Institute of Biomedicine, Bioinformatics Center, University of Eastern Finland, Kuopio, Finland.
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Institute of Clinical Medicine, Internal Medicine, Kuopio University Hospital, Kuopio, Finland.
| | - Virpi Lindi
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland.
| | - Timo A Lakka
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland; Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland; Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.
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11
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Uribarri J, del Castillo MD, de la Maza MP, Filip R, Gugliucci A, Luevano-Contreras C, Macías-Cervantes MH, Markowicz Bastos DH, Medrano A, Menini T, Portero-Otin M, Rojas A, Sampaio GR, Wrobel K, Wrobel K, Garay-Sevilla ME. Dietary advanced glycation end products and their role in health and disease. Adv Nutr 2015; 6:461-473. [PMID: 26178030 PMCID: PMC4496742 DOI: 10.3945/an.115.008433] [Citation(s) in RCA: 269] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Over the past 2 decades there has been increasing evidence supporting an important contribution from food-derived advanced glycation end products (AGEs) to the body pool of AGEs and therefore increased oxidative stress and inflammation, processes that play a major role in the causation of chronic diseases. A 3-d symposium (1st Latin American Symposium of AGEs) to discuss this subject took place in Guanajuato, Mexico, on 1-3 October 2014 with the participation of researchers from several countries. This review is a summary of the different presentations and subjects discussed, and it is divided into 4 sections. The first section deals with current general knowledge about AGEs. The second section dwells on mechanisms of action of AGEs, with special emphasis on the receptor for advanced glycation end products and the potential role of AGEs in neurodegenerative diseases. The third section discusses different approaches to decrease the AGE burden. The last section discusses current methodologic problems with measurement of AGEs in different samples. The subject under discussion is complex and extensive and cannot be completely covered in a short review. Therefore, some areas of interest have been left out because of space. However, we hope this review illustrates currently known facts about dietary AGEs as well as pointing out areas that require further research.
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Affiliation(s)
- Jaime Uribarri
- Department of Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY;
| | - María Dolores del Castillo
- Food Bioscience Group, Department of Food Analysis and Bioactivity, Institute of Food Science Research, Spanish National Research Council, Madrid, Spain
| | - María Pía de la Maza
- Institute of Nutrition and Food Technology Dr. Fernando Monckeberg Barros, University of Chile, Santiago, Chile
| | - Rosana Filip
- Department of Pharmacognosy, Institute of Drug Chemistry and Metabolism, School of Pharmacy and Biochemistry, University of Buenos Aires, Buenos Aires, Argentina
| | | | | | | | | | - Alejandra Medrano
- Food Science and Technology Department, School of Chemistry, University of the Republic, Montevideo, Uruguay
| | - Teresita Menini
- College of Osteopathic Medicine, Touro University California, Vallejo, CA
| | - Manuel Portero-Otin
- Metabolic Pathophysiology Department, School of Medicine, Biomedical Research Institute of Lleida, University of Lleida, Lleida, Spain
| | - Armando Rojas
- Biomedical Research Laboratories, Faculty of Medicine, Catholic University of Maule, Talca, Chile; and
| | | | - Kazimierz Wrobel
- Chemistry Department, University of Guanajuato, Guanajuato, Mexico
| | - Katarzyna Wrobel
- Chemistry Department, University of Guanajuato, Guanajuato, Mexico
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Cárdenas-Cárdenas LM, Burguete-Garcia AI, Estrada-Velasco BI, López-Islas C, Peralta-Romero J, Cruz M, Galván-Portillo M. Leisure-time physical activity and cardiometabolic risk among children and adolescents. J Pediatr (Rio J) 2015; 91:136-42. [PMID: 25308603 DOI: 10.1016/j.jped.2014.06.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Revised: 05/16/2014] [Accepted: 06/05/2014] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To assess the effect of Leisure-time physical activity (LTPA) on cardiometabolic risk by nutritional status in Mexican children and adolescents. METHODS This was a cross-sectional study conducted with 1,309 participants aged between 5 and 17 years. Nutritional status was classified according to the BMI Z-score by age and gender. A previously validated questionnaire was used to evaluate LTPA; a cardiometabolic risk score was calculated. Multiple linear regression analysis was performed to assess the effect of LTPA on cardiometabolic risk. RESULTS After adjusting for risk factors, mild LTPA were positively associated with cardiometabolic risk score (βMildvsIntenseLTPA: 0.68; 95% CI: 0.18 to 1.18; pfortrend = 0.007). This association became stronger when estimated for overweight (β MildvsIntenseLTPA: 1.24; 95% CI: 0.24 to 2.24; pfortrend = 0.015) and obese participants (β MildvsIntenseLTPA: 1.02; 95% CI: 0.07 to 1.97; pfortrend= 0.045). CONCLUSION Mild LTPA was positively associated with cardiometabolic risk in overweight and obese children and adolescents. Given the emerging childhood obesity epidemic in Mexico, these results may be useful in the design of strategies and programs to increase physical activity levels in order to achieve better health.
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Affiliation(s)
- Luz M Cárdenas-Cárdenas
- Centre of Population Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Ana I Burguete-Garcia
- Genetic Epidemiology, Centre of Infectious Disease, National Institute of Public Health, Cuernavaca, Mexico
| | - Barbara I Estrada-Velasco
- Genetic Epidemiology, Centre of Infectious Disease, National Institute of Public Health, Cuernavaca, Mexico
| | - Claudia López-Islas
- Genetic Epidemiology, Centre of Infectious Disease, National Institute of Public Health, Cuernavaca, Mexico
| | - Jesús Peralta-Romero
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, CMN Siglo XXI, IMSS, México D.F., Mexico
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, CMN Siglo XXI, IMSS, México D.F., Mexico
| | - Marcia Galván-Portillo
- Centre of Population Health Research, National Institute of Public Health, Cuernavaca, Mexico.
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13
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Cárdenas‐Cárdenas LM, Burguete‐Garcia AI, Estrada‐Velasco BI, López‐Islas C, Peralta‐Romero J, Cruz M, Galván‐Portillo M. Leisure‐time physical activity and cardiometabolic risk among children and adolescents. JORNAL DE PEDIATRIA (VERSÃO EM PORTUGUÊS) 2015. [DOI: 10.1016/j.jpedp.2015.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Lobelo F, Garcia de Quevedo I, Holub CK, Nagle BJ, Arredondo EM, Barquera S, Elder JP. School-based programs aimed at the prevention and treatment of obesity: evidence-based interventions for youth in Latin America. THE JOURNAL OF SCHOOL HEALTH 2013; 83:668-677. [PMID: 23879787 DOI: 10.1111/josh.12080] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2012] [Revised: 11/27/2012] [Accepted: 12/02/2012] [Indexed: 06/02/2023]
Abstract
BACKGROUND Rapidly rising childhood obesity rates constitute a public health priority in Latin America which makes it imperative to develop evidence-based strategies. Schools are a promising setting but to date it is unclear how many school-based obesity interventions have been documented in Latin America and what level of evidence can be gathered from such interventions. METHODS We performed a systematic review of papers published between 1965 and December 2010. Interventions were considered eligible if they had a school-based component, were done in Latin America, evaluated an obesity related outcome (body mass index [BMI], weight, %body fat, waist circumference, BMI z-score), and compared youth exposed vs not exposed. RESULTS Ten studies were identified as having a school-based component. Most interventions had a sample of normal and overweight children. The most successful interventions focused on prevention rather than treatment, had longer follow-ups, a multidisciplinary team, and fewer limitations in execution. Three prevention and 2 treatment interventions found sufficient improvements in obesity-related outcomes. CONCLUSIONS We found sufficient evidence to recommend school-based interventions to prevent obesity among youth in Latin America. Evidence-based interventions in the school setting should be promoted as an important component for integrated programs, policies, and monitoring frameworks designed to reverse the childhood obesity in the region.
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Affiliation(s)
- Felipe Lobelo
- Global Health Promotion Office, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, NE, MS K-40 Atlanta, GA 30341, USA.
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15
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Holub CK, Elder JP, Arredondo EM, Barquera S, Eisenberg CM, Sánchez Romero LM, Rivera J, Lobelo F, Simoes EJ. Obesity control in Latin American and U.S. Latinos: a systematic review. Am J Prev Med 2013; 44:529-37. [PMID: 23597819 PMCID: PMC4808744 DOI: 10.1016/j.amepre.2013.01.023] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2012] [Revised: 01/22/2013] [Accepted: 01/29/2013] [Indexed: 10/27/2022]
Abstract
CONTEXT Latinos are the largest and fastest-growing ethnically diverse group in the U.S.; they are also the most overweight. Mexico is now second to the U.S. in experiencing the worst epidemic of obesity in the world. Objectives of this study were to (1) conduct a systematic review of obesity-related interventions targeting Latinos living in the U.S. and Latin America and (2) develop evidence-based recommendations to inform culturally relevant strategies targeting obesity. EVIDENCE ACQUISITION Obesity-related interventions, published between 1965 and 2010, were identified through searches of major electronic databases in 2010-2011. Selection criteria included evaluation of obesity-related measures; intervention conducted in a community setting; and at least 50.0% Latino/Latin American participants, or with stratified results by race/ethnicity. EVIDENCE SYNTHESIS Body of evidence was based on the number of available studies, study design, execution, and effect size. Of 19,758 articles, 105 interventions met final inclusion criteria. Interventions promoting physical activity and/or healthy eating had strong or sufficient evidence for recommending (1) school-based interventions in the U.S. and Latin America; (2) interventions for overweight or obese children in the healthcare context in Latin America; (3) individual-based interventions for overweight or obese adults in the U.S.; (4) individual-based interventions for adults in Latin America; and (5) healthcare-based interventions for overweight or obese adults in Latin America. CONCLUSIONS Most intervention approaches combined physical activity and healthy eating to address both sides of the energy-balance equation. Results can help guide comprehensive evidence-based efforts to tackle the obesity epidemic in the U.S. and Latin America.
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Affiliation(s)
- Christina K Holub
- Institute for Behavioral and Community Health, San Diego State University, San Diego, CA 92123, USA
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16
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Romero-Gamboa D, Pérez-Vázquez V, Vargas-Ortiz K, Díaz-Cisneros FJ, Martínez-Cordero C, Macías-Cervantes MH. Intense exercise increases HDL level in children regardless of body weight. Health (London) 2013. [DOI: 10.4236/health.2013.512264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Berman LJ, Weigensberg MJ, Spruijt-Metz D. Physical activity is related to insulin sensitivity in children and adolescents, independent of adiposity: a review of the literature. Diabetes Metab Res Rev 2012; 28:395-408. [PMID: 22389103 PMCID: PMC3390444 DOI: 10.1002/dmrr.2292] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
In adults, there is evidence that physical activity effectively improves insulin sensitivity regardless of adiposity. Whether this is also the case in children and adolescents is less clear. Clarifying this matter may help to identify the best outcomes to target in exercise programs for these age groups, where changes in adiposity may not always be desirable or realistic. A review of the literature was conducted on studies that examined the relationships of physical activity, cardiorespiratory fitness and strength with insulin sensitivity independent of adiposity in children and adolescents. Experimental (intervention) and correlational (longitudinal and cross-sectional) studies on participants ages 18 years and younger were identified. A total of 42 studies were included in this review. Sample sizes in the studies ranged from 14 to 4955 participants, with individual ages ranging from 5 to 19 years. A significant relationship with insulin sensitivity existed in 78% of studies on physical activity, 69% of studies on cardiorespiratory fitness and 66% of studies on strength. In studies that examined both physical activity and cardiorespiratory fitness concurrently, evidence suggests that they are both correlated with insulin sensitivity independent of adiposity, especially when physical activity is at higher intensities. However, the strength of this relationship might be influenced by study design, measurement techniques and participant characteristics. This is the first review of its type to take research design into account and to examine study outcomes according to participant ethnicity, gender, age, pubertal status and weight status.
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Affiliation(s)
- Laura J Berman
- Institute for Health Promotion and Disease Prevention Research, University of Southern California Keck School of Medicine, Los Angeles, CA 90089, USA.
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Crespo NC, Elder JP, Ayala GX, Campbell NR, Arredondo EM, Slymen DJ, Baquero B, Sallis JF, McKenzie TL. Results of a multi-level intervention to prevent and control childhood obesity among Latino children: the Aventuras Para Niños Study. Ann Behav Med 2012; 43:84-100. [PMID: 22215470 PMCID: PMC4131843 DOI: 10.1007/s12160-011-9332-7] [Citation(s) in RCA: 97] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022] Open
Abstract
BACKGROUND Community-based interventions are needed to reduce the burden of childhood obesity. PURPOSE To evaluate the impact of a multi-level promotora-based (Community Health Advisor) intervention to promote healthy eating and physical activity and prevent excess weight gain among Latino children. METHODS Thirteen elementary schools were randomized to one of four intervention conditions: individual/family level (Family-only), school/community level (Community-only), combined (Family + Community), or a measurement-only condition. Participants were 808 Latino parents and their children enrolled in kindergarten through 2(nd) grade. Measures included parent and child body mass index (BMI) and a self-administered parent survey that assessed several parent and child behaviors. RESULTS There were no significant intervention effects on children's BMI z-score. The family intervention changed several obesity-related child behaviors (e.g., fruit/vegetable consumption) and these were mediated by changes in parenting variables (e.g., parent monitoring). CONCLUSION A promotora-based behavioral intervention was efficacious at changing parental factors and child obesity-related health behaviors.
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Affiliation(s)
- Noe C. Crespo
- Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 211, San Diego, CA 92123, USA
| | - John P. Elder
- Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 211, San Diego, CA 92123, USA
| | - Guadalupe X. Ayala
- Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 211, San Diego, CA 92123, USA
| | - Nadia R. Campbell
- Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 211, San Diego, CA 92123, USA
| | - Elva M. Arredondo
- Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 211, San Diego, CA 92123, USA
| | - Donald J. Slymen
- Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 211, San Diego, CA 92123, USA
| | - Barbara Baquero
- Health Behavior and Health Education, University of North Carolina, Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - James F. Sallis
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Thomas L. McKenzie
- School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, USA
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Waters E, de Silva-Sanigorski A, Hall BJ, Brown T, Campbell KJ, Gao Y, Armstrong R, Prosser L, Summerbell CD. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2011:CD001871. [PMID: 22161367 DOI: 10.1002/14651858.cd001871.pub3] [Citation(s) in RCA: 754] [Impact Index Per Article: 53.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
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 that governments, communities and families can implement to prevent obesity, and promote health, has been accumulating but remains unclear. OBJECTIVES This review primarily aims to update the previous Cochrane review of childhood obesity prevention research and determine the effectiveness of evaluated interventions intended to prevent obesity in children, assessed by change in Body Mass Index (BMI). Secondary aims were to examine the characteristics of the programs and strategies to answer the questions "What works for whom, why and for what cost?" SEARCH METHODS The searches were re-run in CENTRAL, MEDLINE, EMBASE, PsychINFO and CINAHL in March 2010 and searched relevant websites. Non-English language papers were included and experts were contacted. SELECTION CRITERIA The review includes data from childhood obesity prevention studies that used a controlled study design (with or without randomisation). Studies were included if they evaluated interventions, policies or programs in place for twelve weeks or more. If studies were randomised at a cluster level, 6 clusters were required. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risk of bias of included studies. Data was extracted on intervention implementation, cost, equity and outcomes. Outcome measures were grouped according to whether they measured adiposity, physical activity (PA)-related behaviours or diet-related behaviours. Adverse outcomes were recorded. A meta-analysis was conducted using available BMI or standardised BMI (zBMI) score data with subgroup analysis by age group (0-5, 6-12, 13-18 years, corresponding to stages of developmental and childhood settings). MAIN RESULTS This review includes 55 studies (an additional 36 studies found for this update). The majority of studies targeted children aged 6-12 years. The meta-analysis included 37 studies of 27,946 children and demonstrated that programmes were effective at reducing adiposity, although not all individual interventions were effective, and there was a high level of observed heterogeneity (I(2)=82%). Overall, children in the intervention group had a standardised mean difference in adiposity (measured as BMI or zBMI) of -0.15kg/m(2) (95% confidence interval (CI): -0.21 to -0.09). Intervention effects by age subgroups were -0.26kg/m(2) (95% CI:-0.53 to 0.00) (0-5 years), -0.15kg/m(2) (95% CI -0.23 to -0.08) (6-12 years), and -0.09kg/m(2) (95% CI -0.20 to 0.03) (13-18 years). Heterogeneity was apparent in all three age groups and could not explained by randomisation status or the type, duration or setting of the intervention. Only eight studies reported on adverse effects and no evidence of adverse outcomes such as unhealthy dieting practices, increased prevalence of underweight or body image sensitivities was found. Interventions did not appear to increase health inequalities although this was examined in fewer studies. AUTHORS' CONCLUSIONS We found strong evidence to support beneficial effects of child obesity prevention programmes on BMI, particularly for programmes targeted to children aged six to 12 years. However, given the unexplained heterogeneity and the likelihood of small study bias, these findings must be interpreted cautiously. A broad range of programme components were used in these studies and whilst it is not possible to distinguish which of these components contributed most to the beneficial effects observed, our synthesis indicates the following to be promising policies and strategies:· school curriculum that includes healthy eating, physical activity and body image· increased sessions for physical activity and the development of fundamental movement skills throughout the school week· improvements in nutritional quality of the food supply in schools· environments and cultural practices that support children eating healthier foods and being active throughout each day· support for teachers and other staff to implement health promotion strategies and activities (e.g. professional development, capacity building activities)· parent support and home activities that encourage children to be more active, eat more nutritious foods and spend less time in screen based activitiesHowever, study and evaluation designs need to be strengthened, and reporting extended to capture process and implementation factors, outcomes in relation to measures of equity, longer term outcomes, potential harms and costs.Childhood obesity prevention research must now move towards identifying how effective intervention components can be embedded within health, education and care systems and achieve long term sustainable impacts.
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Affiliation(s)
- Elizabeth Waters
- Jack Brockhoff Child Health and Wellbeing Program, The McCaughey Centre, Melbourne School of Population Health, The University of Melbourne, Level 5/207 Bouverie St, Carlton, VIC, Australia, 3010
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Winkler S, Picó C, Ahrens W. [Physiological mechanisms in the development of adiposity]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2010; 53:681-9. [PMID: 20652482 DOI: 10.1007/s00103-010-1089-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The phenomenon of the so-called "obesity pandemic" having arisen over the last decades has to be, in large part, attributed to changes of lifestyle and the associated changes in dietary habits and physical activity observed world-wide. The resulting interference in energy homeostasis plays a central role in the development of obesity in a large proportion of the population worldwide. In this article, current knowledge about central biological mechanisms of energy intake, energy storage, and energy expenditure is summarized. This includes, for example, the feeling of hunger/satiety, lipid turnover with the two components of lipolysis and lipogenesis, adipogenesis, as well as energy-consuming processes like (adaptive) thermogenesis, resting metabolic rate, and physical activity energy expenditure. Based on examples, the possible influence of genetic polymorphisms contributing to the development of adiposity are illustrated.
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Affiliation(s)
- S Winkler
- Bremer Institut für Präventionsforschung und Sozialmedizin, Universität Bremen, Linzer Str. 10, 28359, Bremen, Deutschland.
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