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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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Yudkin JS, Koym K, Hamad Y, Malthaner LQ, Burgess RM, Ortiz LN, Dhurjati N, Mitha S, Calvi G, Hill K, Brownell M, Wei E, Swartz K, Atem FD, Galeener CA, Messiah SE, Barlow SE, Allicock MA. Family-based pediatric weight management interventions in US primary care settings targeting children ages 6-12 years old: A systematic review guided by the RE-AIM framework. Transl Behav Med 2024; 14:34-44. [PMID: 37632769 DOI: 10.1093/tbm/ibad051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/28/2023] Open
Abstract
Obesity is a pandemic that disproportionately affects children from vulnerable populations in the USA. Current treatment approaches in primary care settings in the USA have been reported to be insufficient at managing pediatric obesity, primarily due to implementation challenges for healthcare systems and barriers for families. While the literature has examined the efficacy of pediatric obesity interventions focused on internal validity, it lacks sufficient reporting and analysis of external validity necessary for successful translation to primary care settings. We conducted a systematic review of the primary-care-setting literature from January 2007 to March 2020 on family-based pediatric weight management interventions in both English and/or Spanish for children ages 6-12 years in the USA using the Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. A literature search, using PRISMA guidelines, was conducted in January 2022 using the following electronic databases: Medline Ovid, Embase, and Cochrane Library. 22 270 records were screened, and 376 articles were reviewed in full. 184 studies were included. The most commonly reported dimensions of the RE-AIM framework were Reach (65%), Efficacy/Effectiveness (64%), and Adoption (64%), while Implementation (47%) and Maintenance (42%) were less often reported. The prevalence of reporting RE-AIM construct indicators ranged greatly, from 1% to 100%. This systematic review underscores the need for more focus on external validity to guide the development, implementation, and dissemination of future pediatric obesity interventions based in primary care settings. It also suggests conducting additional research on sustainable financing for pediatric obesity interventions.
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Affiliation(s)
- Joshua S Yudkin
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Kelsey Koym
- Texas Medical Center Library, Houston, TX, USA
| | - Yasmin Hamad
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Lauren Q Malthaner
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Rebecca Meredith Burgess
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | | | - Nalini Dhurjati
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Sharmin Mitha
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Gabriela Calvi
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Kristina Hill
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
- Children's Health, Children's Medical Center Dallas, Dallas, TX, USA
- Center for Pediatric Population Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | | | - Elena Wei
- Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Kyle Swartz
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Folefac D Atem
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Carol A Galeener
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Sarah E Messiah
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
- Center for Pediatric Population Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Sarah E Barlow
- Children's Health, Children's Medical Center Dallas, Dallas, TX, USA
- Department of Pediatrics, Division of Pediatric Gastroenterology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Marlyn A Allicock
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
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Lin SF, Zive MM, Schmied E, Helm J, Ayala GX. The Effects of a Multisector, Multilevel Intervention on Child Dietary Intake: California Childhood Obesity Research Demonstration Study. Nutrients 2023; 15:4449. [PMID: 37892523 PMCID: PMC10610147 DOI: 10.3390/nu15204449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/13/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023] Open
Abstract
Consuming too few fruits and vegetables and excess fat can increase the risk of childhood obesity. Interventions which target mediators such as caregivers' dietary intake, parenting strategies, and the family meal context can improve children's diets. A quasi-experimental, pre-post intervention with four conditions (healthcare (HC-only), public health (PH-only), HC + PH, and control) was implemented to assess the effects of the interventions and the effects of the mediators. HC (implemented with the Obesity Care Model) and PH interventions entailed capacity building; policy, system, and environment changes; and a small-scale media campaign to promote healthy eating. Linear mixed models were used to assess intervention effects and the mediation analysis was performed. Predominantly Hispanic/Latino children and caregivers from rural communities in Imperial County, California, were measured at baseline (N = 1186 children/848 caregivers) and 12 months post-baseline (N = 985/706, respectively). Children who were overweight/obese in the HC-only condition (M = 1.32) consumed more cups of fruits at the 12-month follow-up than those in the control condition (M = 1.09; p = 0.04). No significant mediation was observed. Children in the PH-only condition consumed a significantly higher percentage of energy from fat (M = 36.01) at the follow-up than those in the control condition (M = 34.94, p < 0.01). An obesity intervention delivered through healthcare settings slightly improved fruit intake among at-risk children, but the mechanisms of effect remain unclear.
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Affiliation(s)
- Shih-Fan Lin
- Institute for Behavioral and Community Health (IBACH), San Diego, CA 92123, USA; (E.S.); (G.X.A.)
- Division of Health Promotion and Behavioral Science, School of Public Health, San Diego State University, San Diego, CA 92182, USA
| | - Michelle Murphy Zive
- Herbert Wertheim School of Public Health, University of California, San Diego, CA 92093, USA;
| | - Emily Schmied
- Institute for Behavioral and Community Health (IBACH), San Diego, CA 92123, USA; (E.S.); (G.X.A.)
- Division of Health Promotion and Behavioral Science, School of Public Health, San Diego State University, San Diego, CA 92182, USA
| | - Jonathan Helm
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA;
| | - Guadalupe X. Ayala
- Institute for Behavioral and Community Health (IBACH), San Diego, CA 92123, USA; (E.S.); (G.X.A.)
- Division of Health Promotion and Behavioral Science, School of Public Health, San Diego State University, San Diego, CA 92182, USA
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Hampl SE, Hassink SG, Skinner AC, Armstrong SC, Barlow SE, Bolling CF, Avila Edwards KC, Eneli I, Hamre R, Joseph MM, Lunsford D, Mendonca E, Michalsky MP, Mirza N, Ochoa ER, Sharifi M, Staiano AE, Weedn AE, Flinn SK, Lindros J, Okechukwu K. Clinical Practice Guideline for the Evaluation and Treatment of Children and Adolescents With Obesity. Pediatrics 2023; 151:e2022060640. [PMID: 36622115 DOI: 10.1542/peds.2022-060640] [Citation(s) in RCA: 207] [Impact Index Per Article: 207.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/16/2022] [Indexed: 01/10/2023] Open
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Skinner AC, Staiano AE, Armstrong SC, Barkin SL, Hassink SG, Moore JE, Savage JS, Vilme H, Weedn AE, Liebhart J, Lindros J, Reilly EM. Appraisal of Clinical Care Practices for Child Obesity Treatment. Part I: Interventions. Pediatrics 2023; 151:190447. [PMID: 36622110 DOI: 10.1542/peds.2022-060642] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/16/2022] [Indexed: 01/10/2023] Open
Abstract
The objective of this technical report is to provide clinicians with evidence-based, actionable information upon which to make assessment and treatment decisions for children and adolescents with obesity. In addition, this report will provide an evidence base to inform clinical practice guidelines for the management and treatment of overweight and obesity in children and adolescents. To this end, the goal of this report was to identify all relevant studies to answer 2 overarching key questions: (KQ1) "What are clinically based, effective treatments for obesity?" and (KQ2) "What is the risk of comorbidities among children with obesity?" See Appendix 1 for the conceptual framework and a priori key questions.
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Affiliation(s)
- Asheley C Skinner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Amanda E Staiano
- Louisiana State University Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Sarah C Armstrong
- Departments of Pediatrics and Population Health Sciences, Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Shari L Barkin
- Children's Hospital of Richmond at Virginia Commonwealth University, Richmond, Virginia
| | - Sandra G Hassink
- Medical Director, American Academy of Pediatrics, Institute for Healthy Childhood Weight, Wilmington, Delaware
| | - Jennifer E Moore
- Institute for Medicaid Innovation, University of Michigan Medical School, Ann Arbor, Michigan
| | - Jennifer S Savage
- Center for Childhood Obesity Research, Pennsylvania State University, Department of Nutritional Sciences, Pennsylvania State University, University Park, Pennsylvania
| | - Helene Vilme
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Ashley E Weedn
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
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Hodder RK, O'Brien KM, Lorien S, Wolfenden L, Moore TH, Hall A, Yoong SL, Summerbell C. Interventions to prevent obesity in school-aged children 6-18 years: An update of a Cochrane systematic review and meta-analysis including studies from 2015-2021. EClinicalMedicine 2022; 54:101635. [PMID: 36281235 PMCID: PMC9581512 DOI: 10.1016/j.eclinm.2022.101635] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Childhood obesity remains a global public health priority due to the enormous burden it generates. Recent surveillance data suggests there has been a sharp increase in the prevalence of childhood obesity during the COVID-19 pandemic. The Cochrane review of childhood obesity prevention interventions (0-18 years) updated to 2015 is the most rigorous and comprehensive review of randomised controlled trials (RCTs) on this topic. A burgeoning number of high quality studies have been published since that are yet to be synthesised. METHODS An update of the Cochrane systematic review was conducted to include RCT studies in school-aged children (6-18 years) published to 30 June 2021 that assessed effectiveness on child weight (PROSPERO registration: CRD42020218928). Available cost-effectiveness and adverse effect data were extracted. Intervention effects on body mass index (BMI) were synthesised in random effects meta-analyses by setting (school, after-school program, community, home), and meta-regression examined the association of study characteristics with intervention effect. FINDINGS Meta-analysis of 140 of 195 included studies (183,063 participants) found a very small positive effect on body mass index for school-based studies (SMD -0·03, 95%CI -0·06,-0·01; trials = 93; participants = 131,443; moderate certainty evidence) but not after-school programs, community or home-based studies. Subgroup analysis by age (6-12 years; 13-18 years) found no differential effects in any setting. Meta-regression found no associations between study characteristics (including setting, income level) and intervention effect. Ten of 53 studies assessing adverse effects reported presence of an adverse event. Insufficient data was available to draw conclusions on cost-effectiveness. INTERPRETATION This updated synthesis of obesity prevention interventions for children aged 6-18 years, found a small beneficial impact on child BMI for school-based obesity prevention interventions. A more comprehensive assessment of interventions is required to identify mechanisms of effective interventions to inform future obesity prevention public health policy, which may be particularly salient in for COVID-19 recovery planning. FUNDING This research was funded by the National Health and Medical Research Council (NHMRC), Australia (Application No APP1153479).
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Affiliation(s)
- Rebecca K. Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
- Corresponding author at: C/- Hunter New England Population Health, Locked Bag 10, Wallsend NSW 2287 Australia.
| | - Kate M. O'Brien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sasha Lorien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Theresa H.M. Moore
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol National Health Service Foundation Trust, Whitefriars, Lewins Mean, Bristol, BS1 2NT, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Beacon House, Queens Road, Bristol, United Kingdom
| | - Alix Hall
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
- Global Obesity Centre, Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Stockton Road, Durham DH1 3LE, United Kingdom
- Fuse, The NIHR Centre for Translational Research in Public Health, United Kingdom
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Albornoz-Guerrero J, García S, de Sevilla GGP, Cigarroa I, Zapata-Lamana R. Characteristics of Multicomponent Interventions to Treat Childhood Overweight and Obesity in Extremely Cold Climates: A Systematic Review of a Randomized Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3098. [PMID: 33802875 PMCID: PMC8002607 DOI: 10.3390/ijerph18063098] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/11/2021] [Accepted: 03/14/2021] [Indexed: 12/01/2022]
Abstract
AIM To analyze the characteristics of multicomponent interventions to reduce childhood overweight and obesity in territories with an extremely cold climate. METHODS A systematic review was conducted following the PRISMA statement. MEDLINE, PsycNet, SciELO, and grey literature databases were reviewed in the period between 2010 and 2020. RESULTS 29 articles were included (n = 4434 participants; 9.3 years; 56% women) with an average adherence of 86%, 100% being the highest adherence, for the physical activity and nutrition interventions. The primary variables studied were BMI, BMI Z-score BMI-SDS and, additionally, the secondary variables studied were nutritional status and physical and mental health. In 72% of the interventions presented, positive effects were seen on the reduction of BMI, including in parents and their children. The interventions were carried out mainly by nutritionists in health centers. The duration of the 29 interventions was ≤6 months and ≥12 months, in 59% and 41% of the studies, respectively. 57% of the studies reported post-intervention results. 86% of the interventions included a physical activity component, 80% included a nutrition component, 66% included a behavioral therapy component and 55% included an education component. Concerning the effects of the intervention on the primary outcome, in interventions with a duration equal to or less than six months, the most effective interventions included recreational activities, education, and nutritional programs. In interventions lasting 12 months or more, the most effective interventions included physical activity recommendations, nutritional and physical exercise programs, and cooking classes. CONCLUSIONS This systematic review analyzed the effectiveness of, and characterized, multicomponent interventions lasting for 6 and 12 months, aiming to treat childhood obesity in extremely cold climates. The most frequently used units of measurement were also analyzed and summarized. Evidence derived from RCT. These results can be useful for designing future interventions to treat childhood obesity in territories with an extremely cold climate.
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Affiliation(s)
- Javier Albornoz-Guerrero
- Departamento de Educación y Humanidades, Universidad de Magallanes, Punta Arenas 6200000, Chile;
| | - Sonia García
- Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain;
| | | | - Igor Cigarroa
- Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile;
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Kepper M, Walsh-Bailey C, Staiano A, Fowler LA, Gacad A, Blackwood A, Fowler SA, Kelley M. Health Information Technology Use Among Healthcare Providers Treating Children and Adolescents With Obesity: a Systematic Review. CURR EPIDEMIOL REP 2021. [DOI: 10.1007/s40471-021-00262-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Fowler LA, Grammer AC, Staiano AE, Fitzsimmons-Craft EE, Chen L, Yaeger LH, Wilfley DE. Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications. Int J Obes (Lond) 2021; 45:957-981. [PMID: 33627775 PMCID: PMC7904036 DOI: 10.1038/s41366-021-00765-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 11/24/2020] [Accepted: 01/20/2021] [Indexed: 01/31/2023]
Abstract
BACKGROUND Technology holds promise for delivery of accessible, individualized, and destigmatized obesity prevention and treatment to youth. OBJECTIVES This review examined the efficacy of recent technology-based interventions on weight outcomes. METHODS Seven databases were searched in April 2020 following PRISMA guidelines. Inclusion criteria were: participants aged 1-18 y, use of technology in a prevention/treatment intervention for overweight/obesity; weight outcome; randomized controlled trial (RCT); and published after January 2014. Random effects models with inverse variance weighting estimated pooled mean effect sizes separately for treatment and prevention interventions. Meta-regressions examined the effect of technology type (telemedicine or technology-based), technology purpose (stand-alone or adjunct), comparator (active or no-contact control), delivery (to parent, child, or both), study type (pilot or not), child age, and intervention duration. FINDINGS In total, 3406 records were screened for inclusion; 55 studies representing 54 unique RCTs met inclusion criteria. Most (89%) included articles were of high or moderate quality. Thirty studies relied mostly or solely on technology for intervention delivery. Meta-analyses of the 20 prevention RCTs did not show a significant effect of prevention interventions on weight outcomes (d = 0.05, p = 0.52). The pooled mean effect size of n = 32 treatment RCTs showed a small, significant effect on weight outcomes (d = ‒0.13, p = 0.001), although 27 of 33 treatment studies (79%) did not find significant differences between treatment and comparators. There were significantly greater treatment effects on outcomes for pilot interventions, interventions delivered to the child compared to parent-delivered interventions, and as child age increased and intervention duration decreased. No other subgroup analyses were significant. CONCLUSIONS Recent technology-based interventions for the treatment of pediatric obesity show small effects on weight; however, evidence is inconclusive on the efficacy of technology based prevention interventions. Research is needed to determine the comparative effectiveness of technology-based interventions to gold-standard interventions and elucidate the potential for mHealth/eHealth to increase scalability and reduce costs while maximizing impact.
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Affiliation(s)
- Lauren A. Fowler
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Anne Claire Grammer
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Amanda E. Staiano
- grid.250514.70000 0001 2159 6024LSU’s Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Ellen E. Fitzsimmons-Craft
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Ling Chen
- grid.4367.60000 0001 2355 7002Division of Biostatistics, Washington University School of Medicine, St. Louis, MO USA
| | - Lauren H. Yaeger
- grid.4367.60000 0001 2355 7002Washington University School of Medicine, St. Louis, MO USA
| | - Denise E. Wilfley
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
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