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Hodder RK, O'Brien KM, Wyse RJ, Tzelepis F, Yoong S, Stacey FG, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2024; 9:CD008552. [PMID: 39312396 PMCID: PMC11418976 DOI: 10.1002/14651858.cd008552.pub8] [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: 09/25/2024]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Testing the effects of interventions designed to increase children's consumption of fruit and vegetables, including those focused on specific child-feeding strategies or broader multicomponent interventions targeting the home or childcare environment, is required to assess the potential to reduce this disease burden. OBJECTIVES To assess the benefits and harms of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 March 2023. We searched Proquest Dissertations and Theses in December 2022. We reviewed reference lists of included trials and contacted authors of the included trials to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials (RCTs), including cluster-randomised controlled trials (C-RCTs) and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both amongst children aged five years and under compared to no-intervention control, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. We used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the certainty of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 53 trials with 120 trial arms and 12,350 participants. Sixteen trials examined the impact of child-feeding practice interventions only (e.g. repeated food exposure) in increasing child vegetable intake. Twenty trials examined the impact of multicomponent interventions primarily conducted in the childcare setting (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Seventeen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children only in increasing child fruit and vegetable intake and one each examined a child-focused mindfulness intervention or providing families with fruit and vegetable interventions. We judged nine of the 53 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is moderate-certainty evidence that child-feeding practice interventions versus no-intervention control probably have a small positive effect on child vegetable consumption, equivalent to an increase of 15.5 grams as-desired consumption of vegetables (SMD 0.44, 95% confidence interval (CI) 0.24 to 0.65; 15 trials, 1976 participants; mean post-intervention follow-up = 12.3 weeks). No trials in this comparison reported information about intervention costs. One trial reported no harms or serious unintended adverse consequences (low-certainty evidence). Multicomponent interventions versus no-intervention control probably have a small effect on child consumption of fruit and vegetables (SMD 0.27, 95% CI 0.11 to 0.43; 14 trials, 4318 participants; moderate-certainty evidence; mean post-intervention follow-up = 4.0 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. One trial, which tested a multicomponent garden-based intervention, reported the installation of the garden as part of the intervention to be USD 1500 per childcare centre (low-certainty evidence). No trials in this comparison reported information about unintended adverse consequences of interventions. Parent nutrition education interventions may have little to no short-term impact on child consumption of fruit and vegetables versus no-intervention control (SMD 0.10, 95% CI -0.02 to 0.22; 14 trials, 4122 participants; low-certainty evidence; mean post-intervention follow-up = 6.4 weeks). One trial reported the total estimated cost of delivering a parent nutrition education intervention for infant feeding, physical activity and sedentary behaviours delivered by a dietitian as approximately AUD 500 per family (low-certainty evidence). One trial reported no unintended adverse consequences on family food expenditure following implementation of an intervention delivered over the telephone to improve parental knowledge and skills about the home food environment (low-certainty evidence). Trials reported receiving governmental or charitable funds, except for one trial reporting industry funding. AUTHORS' CONCLUSIONS There was moderate-certainty evidence that child-feeding practice interventions and multicomponent interventions probably lead to only small increases in fruit and vegetable consumption in children aged five years and under. Parent nutrition education interventions may have little or no effect on increasing fruit and vegetable consumption in children aged five years and under. Future research should be prioritised on assessment and reporting of both intervention cost and adverse effects, and development and evaluation of interventions in research gaps, including in a broader range of settings and in low- and middle-income countries. This review continues to be maintained as a living systematic review with monthly searches for new evidence and incorporation of relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- 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
| | - Kate M O'Brien
- 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
| | - Rebecca J Wyse
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Flora Tzelepis
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
| | - Serene Yoong
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
- Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Melbourne, Australia
| | - Fiona G Stacey
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
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Guerra Toro HI, Jaramillo AP, Caceres VM. Family-Based Interventions for Pediatric Obesity: A Comprehensive Systematic Review and Meta-Analysis of Their Effectiveness. Cureus 2024; 16:e65919. [PMID: 39221382 PMCID: PMC11364979 DOI: 10.7759/cureus.65919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2024] [Indexed: 09/04/2024] Open
Abstract
Genetics can influence obesity, and when it affects both parents and children, there is a high risk of developing cardiometabolic diseases. Studies have indicated that family-based treatment (FBT) is a cost-effective and successful option for achieving significant weight changes in both children and parents. While specialized clinics offer FBT, primary care settings, where most pediatric care takes place, may not have the necessary resources or expertise to provide intensive behavioral interventions for childhood obesity. Based on early findings, FBT could potentially have a positive impact on siblings as well, as when treated children and parents experience behavioral changes, it can also have a beneficial effect on their untreated siblings. Parents play a crucial role in shaping their children's behavior, and siblings often have a stronger influence on them than their parents or friends. For our meta-analysis, we utilized three graphical models created using RevMan 5.4, based on the selected articles. To develop our systematic review, we thoroughly analyzed a total of 10 articles. The subgroup analysis within these studies assessed the effectiveness of FBT for overweight children, revealing no significant differences between groups (p=0.77). This suggests that based on their BMI, FBT may not have a statistically significant impact on weight loss in overweight children. However, each study reviewed showed statistical significance (p<0.05). The findings of our meta-analysis underscore the need for more robust evidence and larger randomized controlled trials (RCTs) to enhance our understanding of FBT's benefits in pediatric obesity. This will be crucial for reducing the rising prevalence of obesity and maintaining lower incidence rates.
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Chan J, Conroy P, Phongsavan P, Raubenheimer D, Allman-Farinelli M. Systems map of interventions to improve dietary intake of pre-school aged children: A scoping review. Prev Med 2023; 177:107727. [PMID: 37848165 DOI: 10.1016/j.ypmed.2023.107727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023]
Abstract
Implementation and sustaining impact of early childhood nutrition interventions in practice remains a challenge. An understanding of the extent to which determinants across multiple levels of the food system are being addressed may improve success. This literature review aimed to synthesise the evidence on interventions targeting dietary intake and eating behaviours in preschool children using a systems approach. Eligible studies included intervention studies targeting the dietary intake of preschool children aged 2-5 years in high income countries, published in English after January 2000. Interventions were categorised to the Determinants of Nutrition and Eating (DONE) framework for children developed and evaluated by experts across multiple fields. The framework maps and ranks 411 factors driving eating behaviours and nutrition and can be used to systematically summarise determinants. DONE ranks each determinant for its perceived research priority. A total of 160 eligible studies were identified. Most interventions targeted interpersonal (n = 101, 63.1%) and individual (n = 85, 53.1%) level determinants, with fewer targeting environmental (n = 55, 34.4%) and policy level (n = 17, 10.6%) determinants. The most frequently addressed determinants were Parental Resources and Risk Factors (n = 85) and Children's Food Knowledge, Skills and Abilities (n = 67). These determinants had a Moderate research priority rating. Home Food Availability and Accessibility at the environmental level is classified as the highest research priority, however, only 15 of 160 interventions addressed this determinant. This review highlights home food availability and accessibility as potential leverage points for future interventions to improve children's dietary intake and eating behaviours.
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Affiliation(s)
- Jacqueline Chan
- Nutrition and Dietetics Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
| | - Patrick Conroy
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Philayrath Phongsavan
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Margaret Allman-Farinelli
- Nutrition and Dietetics Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
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French SA, Kunin-Batson AS, Sherwood NE, Berge JM, Shanley R. NET-Works paediatric obesity prevention trial: 66 month outcomes. Pediatr Obes 2023; 18:e13055. [PMID: 37171137 PMCID: PMC10462385 DOI: 10.1111/ijpo.13055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/28/2023] [Accepted: 04/27/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND AND OBJECTIVES The NET-Works trial (2012-2018) randomized 534 children ages 2-4 years at baseline and their caregivers to either a 3-year multicomponent obesity prevention intervention or a control group. This research examined treatment effects on body mass index and other outcomes at 66 months. METHODS Parent-child dyads (n = 338) who agreed to participate in a 66 month measurement visit were measured for child BMI, physical activity, diet, and cardiometabolic risk factor variables. RESULTS At 66 months, no significant treatment effects were observed on BMI (Effect = -0.38; 95% CI = -1.13, 0.37). Subgroup results were consistent with the NET-Works 36 month results. Children with overweight at baseline in the intervention group gained significantly less BMI versus children with overweight in the control group (Effect = -1.28; 95% CI = -2.48, -0.07). Among Hispanic children, those in the intervention gained significantly less BMI than those in the control group (Effect = -1.04; 95% CI = -1.97, -0.11). CONCLUSIONS Evidence suggests that early intervention with children at highest risk for obesity, using community-based, multicomponent, multisetting interventions, may be effective in reducing excess weight gain and obesity among certain subgroups of children. The intervention appeared to be effective in slowing BMI gain 66 months after randomization among children who were already overweight at ages 2-4 years and among children of Hispanic ethnicity.
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Affiliation(s)
- Simone A French
- Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Alicia S Kunin-Batson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nancy E Sherwood
- Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Jerica M. Berge
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Ryan Shanley
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis Minnesota
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Caldwell AR, Kim Y, Alshahwan N, Vellody K, Bendixen RM, Renz K, Duong T, Dodd J, Terhorst L, Must A. Parental perception of facilitators and barriers to health among young children with down syndrome: a qualitative study. Front Pediatr 2023; 11:1155850. [PMID: 37497298 PMCID: PMC10366365 DOI: 10.3389/fped.2023.1155850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/29/2023] [Indexed: 07/28/2023] Open
Abstract
Background Despite high rates of obesity and weight-related conditions observed in children with Down syndrome, little is known about how to prevent these conditions. Purpose The purpose of this study was to identify parent-perceived facilitators and barriers to health for toddlers (12-36 months old) with Down syndrome. Materials and methods We conducted in-depth, semi-structured interviews with the mothers of 25 toddlers with Down syndrome. All interviews were conducted using Zoom Video Technology, audio recorded and transcribed before being coded in NVivo software using a structured protocol. Thematic analysis was used to identify themes in perceived facilitators and barriers to health at the level of the child, family, and community. Data were triangulated using reflective journaling, video review of child meals, and member-checking techniques. Results We identified unique themes for facilitators (on the move and sound sleep) and barriers (co-occurring conditions and eating behaviors) at the level of the child. At the level of the family and community, overarching themes that were viewed as either a facilitator or barrier, depending on the context, were identified (role models matter, time is critical, the importance of place, and social support). Conclusion These themes can help clinicians and researchers tailor their health promotion interventions to meet the unique needs of children with Down syndrome by using strength-based approaches and providing families with the tools to overcome barriers.
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Affiliation(s)
- Angela R. Caldwell
- Pediatric Health Promotion Laboratory, Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yeook Kim
- Families and Autism Research Lab, Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Nada Alshahwan
- Pediatric Health Promotion Laboratory, Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
| | - Kishore Vellody
- Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Roxanna M. Bendixen
- Department of Rehabilitation Sciences, College of Health Professions, University of Pittsburgh, Pittsburgh, PA, United States
| | - Kayley Renz
- Pediatric Health Promotion Laboratory, Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
| | - Tiffany Duong
- Pediatric Health Promotion Laboratory, Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
| | - Judith Dodd
- Department of Sports Medicine and Nutrition, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
| | - Lauren Terhorst
- Pediatric Health Promotion Laboratory, Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
- SHRS Data Center, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States
| | - Aviva Must
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA, United States
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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: 310] [Impact Index Per Article: 310.0] [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: 14] [Impact Index Per Article: 14.0] [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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Flynn AC, Suleiman F, Windsor‐Aubrey H, Wolfe I, O'Keeffe M, Poston L, Dalrymple KV. Preventing and treating childhood overweight and obesity in children up to 5 years old: A systematic review by intervention setting. MATERNAL & CHILD NUTRITION 2022; 18:e13354. [PMID: 35333450 PMCID: PMC9218326 DOI: 10.1111/mcn.13354] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 02/25/2022] [Accepted: 03/07/2022] [Indexed: 01/01/2023]
Abstract
The prevalence of childhood obesity is increasing worldwide with long-term health consequences. Effective strategies to stem the rising childhood obesity rates are needed but systematic reviews of interventions have reported inconsistent effects. Evaluation of interventions could provide more practically relevant information when considered in the context of the setting in which the intervention was delivered. This systematic review has evaluated diet and physical activity interventions aimed at reducing obesity in children, from birth to 5 years old, by intervention setting. A systematic review of the literature, consistent with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was performed. Three electronic databases were searched from 2010 up to December 2020 for randomised controlled trials aiming to prevent or treat childhood obesity in children up to 5 years old. The studies were stratified according to the setting in which the intervention was conducted. Twenty-eight studies were identified and included interventions in childcare/school (n = 11), home (n = 5), community (n = 5), hospital (n = 4), e-health (n = 2) and mixed (n = 1) settings. Thirteen (46%) interventions led to improvements in childhood obesity measures, including body mass index z-score and body fat percentage, 12 of which included both parental/family-based interventions in conjunction with modifying the child's diet and physical activity behaviours. Home-based interventions were identified as the most effective setting as four out of five studies reported significant changes in the child's weight outcomes. Interventions conducted in the home setting and those which included parents/families were effective in preventing childhood obesity. These findings should be considered when developing optimal strategies for the prevention of childhood obesity.
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Affiliation(s)
- Angela C. Flynn
- Department of Women and Children's HealthKing's College LondonLondonUK
- Department of Nutritional Sciences, School of Life Course SciencesKing's College LondonLondonUK
| | - Fatma Suleiman
- Department of Nutritional Sciences, School of Life Course SciencesKing's College LondonLondonUK
| | - Hazel Windsor‐Aubrey
- Department of Nutritional Sciences, School of Life Course SciencesKing's College LondonLondonUK
| | - Ingrid Wolfe
- Department of Women and Children's HealthKing's College LondonLondonUK
- Institute for Women and Children's HealthKing's Health Partners'LondonUK
| | - Majella O'Keeffe
- School of Food and Nutritional SciencesUniversity College CorkCorkIreland
| | - Lucilla Poston
- Department of Women and Children's HealthKing's College LondonLondonUK
- Institute for Women and Children's HealthKing's Health Partners'LondonUK
| | - Kathryn V. Dalrymple
- Department of Women and Children's HealthKing's College LondonLondonUK
- Institute for Women and Children's HealthKing's Health Partners'LondonUK
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Online Parenting Intervention for Children’s Eating and Mealtime Behaviors: Protocol of a Randomized Controlled Trial. Healthcare (Basel) 2022; 10:healthcare10050924. [PMID: 35628060 PMCID: PMC9140754 DOI: 10.3390/healthcare10050924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/05/2022] [Accepted: 05/10/2022] [Indexed: 02/05/2023] Open
Abstract
Introduction: Obesity and overweight are significant health problems among Australian children. Parents play a vital role in establishing healthy eating behaviors in their children. However, parents often experience difficulties in implementing effective parenting practices and lack confidence in their ability to help children adopt these behaviors. This trial will evaluate the efficacy of an online program, Healthy Habits Triple P, in improving children’s snacking and mealtime behaviors and related parenting practices. Methods and analysis: This is a single-blinded, randomized controlled trial for parents of young Australian children aged 2–6 years. Participants will be recruited through childcare centers, social media, online parent forums and existing networks. The participants in the intervention arm will receive access to a web-based parenting intervention in addition to nutrition-related information for parents published by the National Health and Medical Research Council of Australia; those in the control arm will receive nutrition-related information only. After the completion of the study, the parenting intervention will be offered to the control arm. The primary outcome will be improvement in children’s eating habits. The secondary outcomes include parents’ self-efficacy, confidence, children’s mealtime behaviors and mealtime parenting strategies. Both primary and secondary outcomes will be evaluated through online-administered, validated parent-reported questionnaires. We will also undertake a quantitative and qualitative evaluation of the practicality and acceptability of the intervention.
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Derwig M, Tiberg I, Björk J, Hallström I. Child-Centred Health Dialogue for primary prevention of obesity in Child Health Services - a feasibility study. Scand J Public Health 2021; 49:384-392. [PMID: 31854251 PMCID: PMC8135234 DOI: 10.1177/1403494819891025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 10/04/2019] [Accepted: 10/28/2019] [Indexed: 12/11/2022]
Abstract
Aims: The aim of this study was to test a Child-Centred Health Dialogue model for primary prevention of obesity for 4-year-old children in Child Health Services, for its feasibility and the responsiveness of its outcomes. Methods: A feasibility study was set up with a non-randomised quasi-experimental cluster design comparing usual care with a structured multicomponent Child-Centred Health Dialogue consisting of two parts: (1) a universal part directed to all children and (2) a targeted part for families where the child is identified with overweight. Results: In total, 203 children participated in Child-Centred Health Dialogue while 582 children received usual care. Nurses trained in the model were able to execute both the universal health dialogue and the targeted part of the intervention. Tutorship enabled the nurses to reflect on and discuss their experiences, which strengthened their confidence and security. One year after the intervention fewer normal-weight 4-year-olds in the intervention group had developed overweight at the age of five compared with the control group, and none had developed obesity. The difference in overweight prevalence at follow-up did not reach statistical significance. Conclusions: This study demonstrates that a child-centred, multicomponent, interactive intervention for the promotion of healthy lifestyles and primary prevention of obesity for all 4-year-old children participating in Child Health Services is feasible on a small scale. As almost all caregivers make use of Child Health Services in Sweden, the findings should be confirmed in a randomised controlled trial before the intervention can be implemented on a larger scale.
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Affiliation(s)
- Mariette Derwig
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Irén Tiberg
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Jonas Björk
- Department of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Inger Hallström
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden
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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: 29] [Impact Index Per Article: 9.7] [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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12
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Mandelbaum J, Harrison SE, Brittingham J. Disparities in Nutrition Counseling at Pediatric Wellness Visits in South Carolina. Child Obes 2020; 16:520-526. [PMID: 32960095 DOI: 10.1089/chi.2020.0025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background: In 2007, an Expert Committee recommended that dietary patterns be assessed at each wellness visit and that counseling on diet and nutrition be provided to all children. Few studies have examined the "uptake" of obesity prevention practices into pediatric primary care. This study aimed to describe patterns of nutrition counseling among children at wellness visits in South Carolina between 2008 and 2017 and determine whether sociodemographic disparities existed. Methods: The sample included 123,864 children 2-18 years of age who had a wellness visit at one of South Carolina's four major health care systems between January 1, 2008, and December 31, 2017. Documentation of nutrition counseling was defined by the International Classification of Diseases (ICD)-9/10 codes. A matched sample design and conditional logistic regression were used to examine sociodemographic disparities in children who did and did not receive nutrition counseling. Results: Nutrition counseling was documented at 3.55% of wellness visits. Significant sociodemographic disparities were found, including that African American and Hispanic children were less likely to receive counseling than white or non-Hispanic children. Differences were also found by urban/rural residence, health insurance, and BMI. Despite guidelines, ICD 9/10 code indicating diagnosis of overweight or obesity was documented for only 12.2% of children. Conclusions: Nutrition counseling was rarely documented in a large sample of electronic medical record (EMR) data from pediatric wellness visits in South Carolina-a state heavily burdened by childhood obesity. Children's BMIs were infrequently recorded, which may be a barrier to tracking BMI over time. Sociodemographic and geographic differences in nutrition counseling may exacerbate disparities in childhood obesity.
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Affiliation(s)
- Jennifer Mandelbaum
- SC SmartState Center for Healthcare Quality, Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Sayward E Harrison
- SC SmartState Center for Healthcare Quality, Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.,Department of Psychology, College of Arts and Sciences, University of South Carolina, Columbia, SC, USA
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13
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Scott-Sheldon LAJ, Hedges LV, Cyr C, Young-Hyman D, Khan LK, Magnus M, King H, Arteaga S, Cawley J, Economos CD, Haire-Joshu D, Hunter CM, Lee BY, Kumanyika SK, Ritchie LD, Robinson TN, Schwartz MB. Childhood Obesity Evidence Base Project: A Systematic Review and Meta-Analysis of a New Taxonomy of Intervention Components to Improve Weight Status in Children 2-5 Years of Age, 2005-2019. Child Obes 2020; 16:S221-S248. [PMID: 32936038 PMCID: PMC7482126 DOI: 10.1089/chi.2020.0139] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Objective: To evaluate the efficacy of childhood obesity interventions and conduct a taxonomy of intervention components that are most effective in changing obesity-related health outcomes in children 2-5 years of age. Methods: Comprehensive searches located 51 studies from 18,335 unique records. Eligible studies: (1) assessed children aged 2-5, living in the United States; (2) evaluated an intervention to improve weight status; (3) identified a same-aged comparison group; (4) measured BMI; and (5) were available between January 2005 and August 2019. Coders extracted study, sample, and intervention characteristics. Effect sizes [ESs; and 95% confidence intervals (CIs)] were calculated by using random-effects models. Meta-regression was used to determine which intervention components explain variability in ESs. Results: Included were 51 studies evaluating 58 interventions (N = 29,085; mean age = 4 years; 50% girls). Relative to controls, children receiving an intervention had a lower BMI at the end of the intervention (g = 0.10, 95% CI = 0.02-0.18; k = 55) and at the last follow-up (g = 0.17, 95% CI = 0.04-0.30; k = 14; range = 18-143 weeks). Three intervention components moderated efficacy: engage caregivers in praise/encouragement for positive health-related behavior; provide education about the importance of screen time reduction to caregivers; and engage pediatricians/health care providers. Conclusions: Early childhood obesity interventions are effective in reducing BMI in preschool children. Our findings suggest that facilitating caregiver education about the importance of screen time reduction may be an important strategy in reducing early childhood obesity.
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Affiliation(s)
- Lori A J Scott-Sheldon
- Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert School of Medicine, Brown University, Providence, RI, USA
| | - Larry V Hedges
- Department of Statistics, Northwestern University, Evanston, IL, USA
| | - Chris Cyr
- Impact Genome Project, Mission Measurement, Chicago, IL, USA
| | - Deborah Young-Hyman
- Office of Behavioral and Social Sciences, Office of the Director, National Institutes of Health, Bethesda, MD, USA
| | - Laura Kettel Khan
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Heather King
- Impact Genome Project, Mission Measurement, Chicago, IL, USA
| | - Sonia Arteaga
- Office of the Director, National Institutes of Health, National Institutes of Health, Bethesda, MD, USA
| | - John Cawley
- Department of Policy Analysis and Management, Cornell University, Ithaca, NY, USA
- Department of Economics, Cornell University, Ithaca, NY, USA
| | - Christina D Economos
- Division of Nutrition Interventions, Communication, and Behavior Change, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Debra Haire-Joshu
- Center for Obesity Prevention and Policy Research, Brown School, Washington University, Saint Louis, MO, USA
| | - Christine M Hunter
- Office of Behavioral and Social Sciences, Office of the Director, National Institutes of Health, Bethesda, MD, USA
| | - Bruce Y Lee
- CUNY Graduate School of Public Health and Policy, New York, NY, USA
| | - Shiriki K Kumanyika
- Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Lorrene D Ritchie
- Nutrition Policy Institute, University of California, Division of Agriculture and Natural Resources, Berkeley, CA, USA
| | - Thomas N Robinson
- Departments of Pediatrics and Medicine, Stanford Solutions Science Lab, Stanford University, Stanford, CA, USA
| | - Marlene B Schwartz
- Department of Human Development and Family Studies, University of Connecticut, Hartford, CT, USA
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Hirsch KE, Blomquist KK. Community-Based Prevention Programs for Disordered Eating and Obesity: Updates and Current Limitations. Curr Obes Rep 2020; 9:81-97. [PMID: 32445131 DOI: 10.1007/s13679-020-00373-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW To review the status of community-based disordered eating and obesity prevention programs from 2014 to 2019. RECENT FINDINGS In the last 5 years, prevention programs have found success in intervening with children and parental figures in wellness centers, physical activity centers, childcare centers, workplaces, online, and over-the-phone through directly reducing disordered eating and obesity or by targeting risk factors of disordered eating and obesity. Community-based prevention programs for disordered eating and programs targeting both disordered eating and obesity were scarce, highlighting the critical need for the development of these programs. Qualities of the most effective programs were those in which parents and children were educated on physical activity and nutrition via multiple group-based sessions. Limitations of current prevention programs include few programs targeting high-risk populations, a dearth of trained community members serving as facilitators, inconsistent reporting of adherence rates, and few direct measurements of disordered eating and obesity, as well as few long-term follow-ups, precluding the evaluation of sustained effectiveness.
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Affiliation(s)
- Katherine E Hirsch
- Department of Kinesiology, University of Windsor, 401 Sunset Avenue, Windsor, Ontario, N9B 3P4, Canada
| | - Kerstin K Blomquist
- Department of Psychology, Furman University, 3300 Poinsett Highway, Greenville, SC, 29613, USA.
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Hodder RK, O'Brien KM, Tzelepis F, Wyse RJ, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2020; 5:CD008552. [PMID: 32449203 PMCID: PMC7273132 DOI: 10.1002/14651858.cd008552.pub7] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Testing the effects of interventions to increase consumption of fruit and vegetables, including those focused on specific child-feeding strategies or broader multicomponent interventions targeting the home or childcare environment is required to assess the potential to reduce this disease burden. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2020. We searched Proquest Dissertations and Theses in November 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 80 trials with 218 trial arms and 12,965 participants. Fifty trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 23 of the 80 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption, equivalent to an increase of 5.30 grams as-desired consumption of vegetables (SMD 0.50, 95% CI 0.29 to 0.71; 19 trials, 2140 participants; mean post-intervention follow-up = 8.3 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.32, 95% CI 0.09 to 0.55; 9 trials, 2961 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.13, 95% CI -0.02 to 0.28; 11 trials, 3050 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) or unintended adverse consequences of interventions (2 trials), limiting our ability to assess these outcomes. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 80 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited in terms of quality of evidence and magnitude of effect. Of the types of interventions identified, there was moderate-quality evidence that multicomponent interventions probably lead to, and low-quality evidence that child-feeding practice may lead to, only small increases in fruit and vegetable consumption in children aged five years and under. It is uncertain whether parent nutrition education or child nutrition education interventions alone are effective in increasing fruit and vegetable consumption in children aged five years and under. Our confidence in effect estimates for all intervention approaches, with the exception of multicomponent interventions, is limited on the basis of the very low to low-quality evidence. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Kate M O'Brien
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Flora Tzelepis
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Rebecca J Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, 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, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
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16
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Mayne SL, Virudachalam S, Fiks AG. Clustering of unhealthy behaviors in a nationally representative sample of U.S. children and adolescents. Prev Med 2020; 130:105892. [PMID: 31715216 DOI: 10.1016/j.ypmed.2019.105892] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 09/27/2019] [Accepted: 11/08/2019] [Indexed: 12/19/2022]
Abstract
Poor diet, low physical activity, sedentary behavior and smoking are modifiable risk factors for chronic diseases that often develop early in life. An improved understanding of how unhealthy behaviors co-occur within individual children across childhood and adolescence could inform the development of more effective prevention approaches. Using data from the 2011-2016 National Health and Nutrition Examination Survey, we calculated weighted prevalence of five unhealthy behaviors - excessive screen time, poor diet quality, low physical activity, fast food consumption, and smoking (adolescents only) - alone and in combination among U.S. children and adolescents, stratified by age group (2-5, 6-11, 12-15, and 16-19 years). Multivariable logistic regression was used to estimate associations between health behavior clustering (≥2 unhealthy behaviors) and sociodemographic characteristics by age group. Among 7714 children and adolescents, the most prevalent behaviors were excessive screen time and poor diet quality. Unhealthy behavior clustering increased significantly with age (from 29.0% for ages 2-5 to 73.9% for ages 16-19 years, p-trend: <0.0001). The most common health behavior combination was excessive screen time and poor diet (from 14.4% prevalence for ages 2-5 to 45.3% for ages 16-19 years). Smoking prevalence was low, but 97% of smokers had ≥1 other unhealthy behavior. Unhealthy behavior clustering was significantly more prevalent among black than white children (ages 2-5 and 6-11) and less prevalent among Hispanic older adolescents (age 16-19). Associations with household characteristics varied by age group. These results provide a population-level understanding of the extent to which unhealthy behaviors co-occur in U.S. children and adolescents.
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Affiliation(s)
- Stephanie L Mayne
- PolicyLab and the Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States; Department of Pediatrics and the Leonard Davis Institute of Health Economics, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, United States.
| | - Senbagam Virudachalam
- PolicyLab and the Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States; Department of Pediatrics and the Leonard Davis Institute of Health Economics, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, United States
| | - Alexander G Fiks
- PolicyLab and the Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States; Department of Pediatrics and the Leonard Davis Institute of Health Economics, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, United States
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17
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Hodder RK, O'Brien KM, Stacey FG, Tzelepis F, Wyse RJ, Bartlem KM, Sutherland R, James EL, Barnes C, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2019; 2019:CD008552. [PMID: 31697869 PMCID: PMC6837849 DOI: 10.1002/14651858.cd008552.pub6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 August 2019. We searched Proquest Dissertations and Theses in May 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 78 trials with 214 trial arms and 13,746 participants. Forty-eight trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 20 of the 78 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is very low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 4.45 g as-desired consumption of vegetables (SMD 0.42, 95% CI 0.23 to 0.60; 18 trials, 2004 participants; mean post-intervention follow-up = 8.2 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.34, 95% CI 0.10 to 0.57; 9 trials, 3022 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.36 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; 11 trials, 3078 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) and unintended adverse consequences of interventions (2 trials), limiting their assessment. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 78 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low-quality evidence that child-feeding practice may lead to, and moderate-quality evidence that multicomponent interventions probably lead to small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Kate M O'Brien
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Fiona G Stacey
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
- University of NewcastlePriority Research Centre in Physical Activity and NutritionCallaghanAustralia
| | - Flora Tzelepis
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Rebecca J Wyse
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Kate M Bartlem
- University of NewcastleSchool of PsychologyUniversity DriveCallaghanNew South WalesAustralia2308
| | - Rachel Sutherland
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Erica L James
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
| | - Courtney Barnes
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Luke Wolfenden
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
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18
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Schlottmann H, Broome M, Herbst R, Burkhardt MC, Mescher A. Nurse-Led Telephone Follow-Up to Improve Parent Promotion of Healthy Behaviors in Young Children With Motivational Interviewing Techniques. J Pediatr Health Care 2019; 33:545-554. [PMID: 30926151 DOI: 10.1016/j.pedhc.2019.02.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 02/03/2019] [Accepted: 02/06/2019] [Indexed: 01/23/2023]
Abstract
INTRODUCTION The American Academy of Pediatrics (AAP) recommends primary care-based health promotion for obesity prevention at all visits, focusing on nutrition and activity. METHODS In this quality improvement project, a primary care innovation was developed to support parents in promoting healthy habits in their children ages 2 to 5 years old. Nurse-led telephone support using motivational interviewing was implemented during two follow-up phone calls aimed at helping parent-child dyads reach self-created activity or nutrition goals. RESULTS Parent-rated confidence and motivation related to meeting these goals showed significant increases. During the second call, 80% self-reported goal completion and high satisfaction with the visits. Registered nurses reported a significant increase in their self-efficacy of communication with parents. DISCUSSION This project showed the feasibility of using nurse telephone visits in an urban low-income primary care setting to improve parental recognition and understanding of healthy habits that align with American Academy of Pediatrics recommendations for obesity prevention.
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19
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Sherwood NE, Levy RL, Seburg EM, Crain AL, Langer SL, JaKa MM, Kunin‐Batson A, Jeffery RW. The Healthy Homes/Healthy Kids 5-10 Obesity Prevention Trial: 12 and 24-month outcomes. Pediatr Obes 2019; 14:e12523. [PMID: 30873752 PMCID: PMC8853652 DOI: 10.1111/ijpo.12523] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 01/22/2019] [Accepted: 02/17/2019] [Indexed: 12/25/2022]
Abstract
BACKGROUND Pediatric primary care is an important setting for addressing obesity prevention. OBJECTIVE The Healthy Homes/Healthy Kids 5-10 randomized controlled trial evaluated the efficacy of an obesity prevention intervention integrating pediatric primary care provider counseling and parent-targeted phone coaching. METHODS Children aged 5 to 10 years with a BMI between the 70th and 95th percentile and their parents were recruited from pediatric primary care clinics. Participants received well-child visit provider counseling about obesity and safety/injury prevention and were then randomized to a 14-session phone-based obesity prevention (OP; n = 212) or safety and injury prevention contact control (CC; n = 209) intervention. The primary outcome was 12 and 24-month child BMI percentile. RESULTS There was no overall significant treatment effect on child BMI percentile. Caloric intake was significantly lower among OP compared with CC participants at 12 months (P < .005). In planned subgroup analyses, OP condition girls had significantly lower BMI percentile (P < .05) and BMI z-score (P < .02) at 12 and 24 months relative to CC girls and were less likely to be overweight (38.0% vs 53.0%, P < .01) or (obese 3.4% vs 8.8%, P < .10) at follow-up. CONCLUSIONS AND RELEVANCE An obesity prevention intervention integrating brief provider counseling and parent-targeted phone counseling did not impact 12 and 24-month BMI status overall but did have a significant impact on BMI in girls.
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Affiliation(s)
- Nancy E. Sherwood
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Rona L. Levy
- UW School of Social Work (SSW), Seattle, WA, USA
| | | | | | - Shelby L. Langer
- UW School of Social Work (SSW), Seattle, WA, USA,Center for Health Promotion and Disease Prevention, College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Meghan M. JaKa
- DC Department of Behavioral Health, Applied Research and Evaluation, Washington, DC, USA
| | | | - Robert W. Jeffery
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
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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: 297] [Impact Index Per Article: 59.4] [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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Hammersley ML, Okely AD, Batterham MJ, Jones RA. An Internet-Based Childhood Obesity Prevention Program (Time2bHealthy) for Parents of Preschool-Aged Children: Randomized Controlled Trial. J Med Internet Res 2019; 21:e11964. [PMID: 30735139 PMCID: PMC6384541 DOI: 10.2196/11964] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 10/31/2018] [Accepted: 11/09/2018] [Indexed: 12/11/2022] Open
Abstract
Background Electronic health (eHealth) obesity programs offer benefits to traditionally delivered programs and have shown promise in improving obesity-related behaviors in children. Objective This study aimed to assess the efficacy of a parent-focused, internet-based healthy lifestyle program for preschool-aged children, who are overweight or at or above the fiftieth percentile for body mass index (BMI) for their age and sex, on child BMI, obesity-related behaviors, parent modeling, and parent self-efficacy. Methods The Time2bHealthy randomized controlled trial was conducted in Australia, during 2016 to 2017. Participants were recruited both online and through more traditional means within the community. Parent or carer, and child (aged 2-5 years) dyads were randomized into an intervention or comparison group. Intervention participants received an 11-week internet-based healthy lifestyle program, underpinned by social cognitive theory, followed by fortnightly emails for 3 months thereafter. Intervention participants set goals and received individual feedback from a dietitian. They were also encouraged to access and contribute to a closed Facebook group to communicate with other participants and the dietitian. Comparison participants received email communication only. Objectively measured child BMI was the primary outcome. Secondary outcomes included objectively measured physical activity, parent-measured and objectively measured sleep habits, and parent-reported dietary intake, screen time, child feeding, parent modeling, and parent self-efficacy. All data were collected at face-to-face appointments at baseline, 3 months, and 6 months by blinded data collectors. Randomization was conducted using a computerized random number generator post baseline data collection. Results A total of 86 dyads were recruited, with 42 randomized to the intervention group and 44 to the comparison group. Moreover, 78 dyads attended the 3- and 6-month follow-ups, with 7 lost to follow-up and 1 withdrawing. Mean child age was 3.46 years and 91% (78/86) were in the healthy weight range. Overall, 69% (29/42) of participants completed at least 5 of the 6 modules. Intention-to-treat analyses found no significant outcomes for change in BMI between groups. Compared with children in the comparison group, those in the intervention group showed a reduced frequency of discretionary food intake (estimate −1.36, 95% CI −2.27 to −0.45; P=.004), and parents showed improvement in child feeding pressure to eat practices (−0.30, 95% CI 0.06 to −0.00; P=.048) and nutrition self-efficacy (0.43, 95% CI 0.10 to 0.76; P=.01). No significant time by group interaction was found for other outcomes. Conclusions The trial demonstrated that a parent-focused eHealth childhood obesity prevention program can provide support to improve dietary-related practices and self-efficacy but was not successful in reducing BMI. The target sample size was not achieved, which would have affected statistical power. Trial Registration Australian New Zealand Clinical Trials Registry ANZCTR12616000119493; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370030 (Archived by WebCite at http://www.webcitation.org/74Se4S7ZZ).
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Affiliation(s)
- Megan L Hammersley
- Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
| | - Anthony D Okely
- Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
| | - Marijka J Batterham
- Statistical Consulting Service, National Institute for Applied Statistics Research Australia, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia
| | - Rachel A Jones
- Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
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Volger S, Rigassio Radler D, Rothpletz-Puglia P. Early childhood obesity prevention efforts through a life course health development perspective: A scoping review. PLoS One 2018; 13:e0209787. [PMID: 30592757 PMCID: PMC6310279 DOI: 10.1371/journal.pone.0209787] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 12/11/2018] [Indexed: 12/18/2022] Open
Abstract
Introduction The obesity rate in preschool children in the United States (US) is 13.9%, while even higher rates are associated with racial and ethnic minorities and children from low-income families. These prevalence patterns underscore the need to identify effective childhood obesity prevention programs. Method A scoping review was conducted following Arksey and O’Malley’s framework to provide an overview of the types, effectiveness and cost-effectiveness of obesity prevention interventions and policies in children up to 6 years old. Inclusion criteria were studies at least 6-months duration; included a weight-based outcome, conducted in the US, English publications from January 2001 to February 2018. Exclusions: studies in overweight/obese children and obesity treatments, no comparator group. Evidence was characterized across the early life course and multiple-levels of influence. Results From the 2,180 records identified, 34 met the inclusion criteria. Less than half of the interventions initiated during pregnancy, infancy or preschool reported a significant improvement in a weight-based outcome. All interventions included strategies to influence individual- or interpersonal-level health behaviors, yet few removed obstacles in the healthcare system, physical/built environment, or sociocultural environment. The majority (78%) of the interventions occurred during preschool years, with 63% conducted in early childcare education settings serving low-income families. The health impact of the state-wide and national policies on children under age 6 years remains unclear. There was considerable uncertainty around estimates of the health and economic impacts of obesity prevention interventions and policies. Conclusion There is a need to intensify early childhood obesity preventive efforts during critical periods of health development in the US. Future studies should estimate the feasibility, program effectiveness, and cost of implementing multilevel obesity prevention interventions and policies. Addressing these research gaps will provide stakeholders with the scientific evidence necessary to facilitate funding and policy decisions to decrease the prevalence of early childhood obesity.
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Affiliation(s)
- Sheri Volger
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Biomedical and Health Sciences, Rutgers University, Newark, New Jersey, United States of America
- * E-mail:
| | - Diane Rigassio Radler
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Biomedical and Health Sciences, Rutgers University, Newark, New Jersey, United States of America
| | - Pamela Rothpletz-Puglia
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Biomedical and Health Sciences, Rutgers University, Newark, New Jersey, United States of America
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French SA, Sherwood NE, Veblen-Mortenson S, Crain AL, JaKa MM, Mitchell NR, Hotop AM, Berge JM, Kunin Batson AS, Truesdale K, Stevens J, Pratt C, Esposito L. Multicomponent Obesity Prevention Intervention in Low-Income Preschoolers: Primary and Subgroup Analyses of the NET-Works Randomized Clinical Trial, 2012-2017. Am J Public Health 2018; 108:1695-1706. [PMID: 30403521 PMCID: PMC6236759 DOI: 10.2105/ajph.2018.304696] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/27/2018] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To evaluate a multicomponent obesity prevention intervention among diverse, low-income preschoolers. METHODS Parent-child dyads (n = 534) were randomized to the Now Everybody Together for Amazing and Healthful Kids (NET-Works) intervention or usual care in Minneapolis, MN (2012-2017). The intervention consisted of home visits, parenting classes, and telephone check-ins. The primary outcomes were adjusted 24- and 36-month body mass index (BMI). RESULTS Compared with usual care, the NET-Works intervention showed no significant difference in BMI change at 24 (-0.12 kg/m2; 95% confidence interval [CI] = -0.44, 0.19) or 36 months (-0.19 kg/m2; 95% CI = -0.64, 0.26). Energy intake was significantly lower in the NET-Works group at 24 (-90 kcal/day; 95% CI = -164, -16) and 36 months (-101 kcal/day; 95% CI = -164, -37). Television viewing was significantly lower in the NET-Works group at 24 (rate ratio = 0.84; 95% CI = 0.75, 0.93) and 36 months (rate ratio = 0.88; 95% CI = 0.78, 0.99). Children with baseline overweight or obesity had lower BMI in the NET-Works group than those in usual care at 36 months (-0.71 kg/m2; 95% CI = -1.30, -0.12). Hispanic children had lower BMI in the NET-Works group than those in usual care at 36 months (-0.59 kg/m2; 95% CI = -1.14, -0.04). CONCLUSIONS In secondary analyses, NET-Works significantly reduced BMI over 3 years among Hispanic children and children with baseline overweight or obesity. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01606891.
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Affiliation(s)
- Simone A French
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Nancy E Sherwood
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Sara Veblen-Mortenson
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - A Lauren Crain
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Meghan M JaKa
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Nathan R Mitchell
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Anne Marie Hotop
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Jerica M Berge
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Alicia S Kunin Batson
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Kim Truesdale
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - June Stevens
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Charlotte Pratt
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
| | - Layla Esposito
- Simone A. French, Nancy E. Sherwood, Nathan R. Mitchell, and Anne Marie Hotop are with Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis. Sara Veblen-Mortenson is with Office of the Dean, School of Public Health, University of Minnesota. A. Lauren Crain is with HealthPartners Institute, Minneapolis. At the time of study, Meghan M. JaKa was with Washington, DC, Department of Health. Jerica M. Berge is with the Department of Family Medicine and Community Health, University of Minnesota. Alicia S. Kunin Batson is with the Department of Pediatrics, University of Minnesota. Kim Truesdale and June Stevens are with the University of North Carolina, Chapel Hill. Charlotte Pratt is with the National Heart, Lung, and Blood Institute, Bethesda, MD. Layla Esposito is with the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda
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Phone-Based Interventions to Control Obesity in Children Under Six Years of Age: A Systematic Review on Features and Effects. ACTA ACUST UNITED AC 2018. [DOI: 10.5812/compreped.66571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Lindsay AC, Moura Arruda CA, Tavares Machado MM, De Andrade GP, Greaney ML. Exploring how Brazilian immigrant mothers living in the USA obtain information about physical activity and screen time for their preschool-aged children: a qualitative study. BMJ Open 2018; 8:e021844. [PMID: 30082357 PMCID: PMC6089290 DOI: 10.1136/bmjopen-2018-021844] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 07/18/2018] [Accepted: 07/19/2018] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVE To explore how Brazilian-born immigrant mothers living in the USA obtain information about physical activity (PA) and screen time (ST) behaviours for their preschool-aged children. RESEARCH DESIGN Focus group discussions (FGDs) were used to gain an in-depth understanding of research topics. All FGDs were audio-recorded and professionally transcribed verbatim. The Portuguese transcripts were analysed using thematic analysis, an iterative process of coding the data in phases to create meaningful patterns. PARTICIPANTS Thirty-seven Brazilian-born immigrant mothers of preschool-age children. SETTING This study was conducted in two cities in Massachusetts (MA). Participants were recruited from two predominantly Brazilian churches, local Brazilian businesses and community-based social and health services organisations in the Greater Boston area in MA. RESULTS Analyses revealed that the mothers participating in this study did not initially actively seek out information about PA and ST for their preschool-age children, but that they received unsolicited information about these behaviours from multiple sources including their child's paediatrician, Women, Infant and Children (WIC) programme staff, members of their social network of Brazilian friends and the Brazilian media. Mothers reported that this unsolicited information increased their knowledge about the importance of making sure their children were physically active and not participating in excessive ST. This increased awareness led mothers to actively seek information about PA and ST behaviours via the internet and through interpersonal communication with fellow Brazilian friends and family. CONCLUSIONS Given the value Brazilian immigrant mothers placed on the advice of their paediatricians and WIC staff, interventions should consider involving these healthcare professionals, possibly through including endorsement (eg, prescription for PA and maximum ST). More research is needed to ensure Brazilian immigrant mothers' health and media literacy including their ability to navigate the online environment and to discern the accuracy and quality of information from various web sites.
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Affiliation(s)
- Ana Cristina Lindsay
- Department of Exercise and Health Sciences, University of Massachusetts, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | | | | | - Mary L Greaney
- Health Studies and Department of Kinesiology, University of Rhode Island, Kingston, Rhode Island, USA
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Hodder RK, O'Brien KM, Stacey FG, Wyse RJ, Clinton‐McHarg T, Tzelepis F, James EL, Bartlem KM, Nathan NK, Sutherland R, Robson E, Yoong SL, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2018; 5:CD008552. [PMID: 29770960 PMCID: PMC6373580 DOI: 10.1002/14651858.cd008552.pub5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2018. We searched Proquest Dissertations and Theses in November 2017. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included studies to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included studies; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 63 trials with 178 trial arms and 11,698 participants. Thirty-nine trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fourteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Nine studies examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. One study examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake.We judged 14 of the 63 included trials as free from high risks of bias across all domains; performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining studies.There is very low quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 3.50 g as-desired consumption of vegetables (SMD 0.33, 95% CI 0.13 to 0.54; participants = 1741; studies = 13). Multicomponent interventions versus no intervention may have a very small effect on child consumption of fruit and vegetables (SMD 0.35, 95% CI 0.04 to 0.66; participants = 2009; studies = 5; low-quality evidence), equivalent to an increase of 0.37 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; participants = 3078; studies = 11; very low-quality evidence).Insufficient data were available to assess long-term effectiveness, cost effectiveness and unintended adverse consequences of interventions. Studies reported receiving governmental or charitable funds, except for four studies reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 63 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low- and low-quality evidence respectively that child-feeding practice and multicomponent interventions may lead to very small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up is required and future research should adopt more rigorous methods to advance the field.This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Kate M O'Brien
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Fiona G Stacey
- University of Newcastle, Hunter Medical Research Institute, Priority
Research Centre in Health Behaviour, and Priority Research Centre in
Physical Activity and NutritionSchool of Medicine and Public HealthCallaghanAustralia2287
| | - Rebecca J Wyse
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Tara Clinton‐McHarg
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Flora Tzelepis
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Erica L James
- University of Newcastle, Hunter Medical Research InstituteSchool of Medicine and Public HealthUniversity DriveCallaghanAustralia2308
| | - Kate M Bartlem
- University of NewcastleSchool of PsychologyUniversity DriveCallaghanAustralia2308
| | - Nicole K Nathan
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Rachel Sutherland
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Emma Robson
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Sze Lin Yoong
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Luke Wolfenden
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
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Management of Childhood Obesity and Overweight in Primary Care Visits: Gaps Between Recommended Care and Typical Practice. Curr Nutr Rep 2017. [DOI: 10.1007/s13668-017-0221-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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28
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Phillips SA, Martino S, Arena R. Research Opportunities and Challenges in the Era of Healthy Living Medicine: Unlocking the Potential. Prog Cardiovasc Dis 2017; 59:498-505. [PMID: 28132853 DOI: 10.1016/j.pcad.2017.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Accepted: 01/21/2017] [Indexed: 12/28/2022]
Abstract
Non-communicable diseases, such as cardiovascular disease (CVD), obesity, cancer, pulmonary disease, and diabetes are a very high global health concern. The health costs of risk factors for CVD, such as hypertension (HTN), is mounting and are unrelenting. As an example, it is estimated that direct and indirect costs due to HTN amounted to $46.4 billion in 2011 and projections of six-fold increases by 2030; the importance of low-cost nonpharmacological interventions involving collaborative teams of health care professionals is at a critical junction. Certainly, the data supported by research including some clinical trials for healthy living interventions support deploying health education, nutrition, smoking cessation, and physical activity(PA) in preventing CVD risk, such as HTN. Exercise training (ET) for blood pressure (BP) control has been shown to be an effective and integral component of BP management. However, less is known about what optimization of PA/ET modalities with nutrition and lifestyle tracking with modern era technologies will bring to this equation. New research methods may need to consider how to collaborate to collect data in using teams of researchers while interacting with community centers, school systems, and in traditional health care practices. This review will discuss and present what is known about the research that support modern era healthy living medicine and how this data may be integrated in venues that support health lifestyle in the community (i.e. schools and the work place).
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Affiliation(s)
- Shane A Phillips
- Department of Physical Therapy and the Integrative Physiology Laboratory, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL.
| | - Sharon Martino
- Department of Physical Therapy, School of Health Technology and Management, Rehabilitation Research and Movement Performance Laboratory, Stony Brook University, Stony Brook, NY
| | - Ross Arena
- Department of Physical Therapy and the Integrative Physiology Laboratory, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL
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