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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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Bartee RT, Heelan KA, Golden CA, Hill JL, Porter GC, Abbey BA, George K, Foster N, Estabrooks PA. Adaptations of an Effective Evidence-Based Pediatric Weight Management Intervention. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2024; 25:72-84. [PMID: 37477808 PMCID: PMC11133101 DOI: 10.1007/s11121-023-01557-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2023] [Indexed: 07/22/2023]
Abstract
Current childhood obesity treatment programs do not address medically underserved populations or settings where all members of an interdisciplinary team may not exist-either within one organization or within the community. In this paper, we describe the use of a community-academic partnership to iteratively adapt Epstein's Traffic Light Diet (TLD), into Building Healthy Families (BHF), a community-placed evidence-based pediatric weight management intervention (PWMI) and evaluate its effectiveness in reducing BMI z scores. Nine cohorts of families completed BHF. Participants included children aged 6-12 years with obesity (M = 9.46, SD = 1.74). The Framework for Reporting Adaptations and Modifications-Expanded guided our classification of modifications across BHF cohorts. Using the FRAME reporting structure, the changes that were documented were (1) planned and occurred pre-implementation, (2) based on decisions from local stakeholders (e.g., school administrator, members of the implementation team), and (3) specific to changes in content and context-with a focus on implementation and potential for local scale-up. The nature of the adaptations included adding elements (whole of family approach), removing elements (calorie counting), and substituting elements (steps for minutes of physical activity). Across 9 cohorts, 84 families initiated the BHF program, 69 families successfully completed the 12-week program, and 45 families returned for 6-month follow-up assessments. Results indicated that the BMI z score in children was reduced by 0.31 ± 0.17 at 6 months across all cohorts. Reduction in BMI z score ranged from 0.41 in cohort 4 to 0.13 in cohort 5. Iterative adaptations to BHF were completed to improve the fit of BHF to the setting and participants and have contributed to a sustained community PWMI that adheres to the underlying principles and core elements of other evidence-based PWMIs. Monitoring adaptations and related changes to outcomes can play a role in long-term sustainability and effectiveness.
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Affiliation(s)
- R T Bartee
- Department of Biology, University of Nebraska at Kearney, Kearney, NE, USA.
| | - K A Heelan
- Department of Kinesiology and Sport Sciences, University of Nebraska at Kearney, Kearney, NE, USA
| | - C A Golden
- School of Medicine, Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - J L Hill
- School of Medicine, Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - G C Porter
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, USA
| | - B A Abbey
- Department of Kinesiology and Sport Sciences, University of Nebraska at Kearney, Kearney, NE, USA
| | - K George
- Department of Kinesiology and Sport Sciences, University of Nebraska at Kearney, Kearney, NE, USA
| | - N Foster
- Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, NE, USA
| | - P A Estabrooks
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
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Yoong SL, Lum M, Wolfenden L, Jackson J, Barnes C, Hall AE, McCrabb S, Pearson N, Lane C, Jones JZ, Nolan E, Dinour L, McDonnell T, Booth D, Grady A. Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years. Cochrane Database Syst Rev 2023; 8:CD013862. [PMID: 37606067 PMCID: PMC10443896 DOI: 10.1002/14651858.cd013862.pub3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
BACKGROUND Dietary intake during early childhood can have implications on child health and developmental trajectories. Early childhood education and care (ECEC) services are recommended settings to deliver healthy eating interventions as they provide access to many children during this important period. Healthy eating interventions delivered in ECEC settings can include strategies targeting the curriculum (e.g. nutrition education), ethos and environment (e.g. menu modification) and partnerships (e.g. workshops for families). Despite guidelines supporting the delivery of healthy eating interventions in this setting, little is known about their impact on child health. OBJECTIVES To assess the effectiveness of healthy eating interventions delivered in ECEC settings for improving dietary intake in children aged six months to six years, relative to usual care, no intervention or an alternative, non-dietary intervention. Secondary objectives were to assess the impact of ECEC-based healthy eating interventions on physical outcomes (e.g. child body mass index (BMI), weight, waist circumference), language and cognitive outcomes, social/emotional and quality-of-life outcomes. We also report on cost and adverse consequences of ECEC-based healthy eating interventions. SEARCH METHODS We searched eight electronic databases including CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, Scopus and SportDiscus on 24 February 2022. We searched reference lists of included studies, reference lists of relevant systematic reviews, the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov and Google Scholar, and contacted authors of relevant papers. SELECTION CRITERIA We included randomised controlled trials (RCTs), including cluster-RCTs, stepped-wedge RCTs, factorial RCTs, multiple baseline RCTs and randomised cross-over trials, of healthy eating interventions targeting children aged six months to six years that were conducted within the ECEC setting. ECEC settings included preschools, nurseries, kindergartens, long day care and family day care. To be included, studies had to include at least one intervention component targeting child diet within the ECEC setting and measure child dietary or physical outcomes, or both. DATA COLLECTION AND ANALYSIS Pairs of review authors independently screened titles and abstracts and extracted study data. We assessed risk of bias for all studies against 12 criteria within RoB 1, which allows for consideration of how selection, performance, attrition, publication and reporting biases impact outcomes. We resolved discrepancies via consensus or by consulting a third review author. Where we identified studies with suitable data and homogeneity, we performed meta-analyses using a random-effects model; otherwise, we described findings using vote-counting approaches and via harvest plots. For measures with similar metrics, we calculated mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. We calculated standardised mean differences (SMDs) for primary and secondary outcomes where studies used different measures. We applied GRADE to assess certainty of evidence for dietary, cost and adverse outcomes. MAIN RESULTS We included 52 studies that investigated 58 interventions (described across 96 articles). All studies were cluster-RCTs. Twenty-nine studies were large (≥ 400 participants) and 23 were small (< 400 participants). Of the 58 interventions, 43 targeted curriculum, 56 targeted ethos and environment, and 50 targeted partnerships. Thirty-eight interventions incorporated all three components. For the primary outcomes (dietary outcomes), we assessed 19 studies as overall high risk of bias, with performance and detection bias being most commonly judged as high risk of bias. ECEC-based healthy eating interventions versus usual practice or no intervention may have a positive effect on child diet quality (SMD 0.34, 95% confidence interval (CI) 0.04 to 0.65; P = 0.03, I2 = 91%; 6 studies, 1973 children) but the evidence is very uncertain. There is moderate-certainty evidence that ECEC-based healthy eating interventions likely increase children's consumption of fruit (SMD 0.11, 95% CI 0.04 to 0.18; P < 0.01, I2 = 0%; 11 studies, 2901 children). The evidence is very uncertain about the effect of ECEC-based healthy eating interventions on children's consumption of vegetables (SMD 0.12, 95% CI -0.01 to 0.25; P =0.08, I2 = 70%; 13 studies, 3335 children). There is moderate-certainty evidence that ECEC-based healthy eating interventions likely result in little to no difference in children's consumption of non-core (i.e. less healthy/discretionary) foods (SMD -0.05, 95% CI -0.17 to 0.08; P = 0.48, I2 = 16%; 7 studies, 1369 children) or consumption of sugar-sweetened beverages (SMD -0.10, 95% CI -0.34 to 0.14; P = 0.41, I2 = 45%; 3 studies, 522 children). Thirty-six studies measured BMI, BMI z-score, weight, overweight and obesity, or waist circumference, or a combination of some or all of these. ECEC-based healthy eating interventions may result in little to no difference in child BMI (MD -0.08, 95% CI -0.23 to 0.07; P = 0.30, I2 = 65%; 15 studies, 3932 children) or in child BMI z-score (MD -0.03, 95% CI -0.09 to 0.03; P = 0.36, I2 = 0%; 17 studies; 4766 children). ECEC-based healthy eating interventions may decrease child weight (MD -0.23, 95% CI -0.49 to 0.03; P = 0.09, I2 = 0%; 9 studies, 2071 children) and risk of overweight and obesity (RR 0.81, 95% CI 0.65 to 1.01; P = 0.07, I2 = 0%; 5 studies, 1070 children). ECEC-based healthy eating interventions may be cost-effective but the evidence is very uncertain (6 studies). ECEC-based healthy eating interventions may have little to no effect on adverse consequences but the evidence is very uncertain (3 studies). Few studies measured language and cognitive skills (n = 2), social/emotional outcomes (n = 2) and quality of life (n = 3). AUTHORS' CONCLUSIONS ECEC-based healthy eating interventions may improve child diet quality slightly, but the evidence is very uncertain, and likely increase child fruit consumption slightly. There is uncertainty about the effect of ECEC-based healthy eating interventions on vegetable consumption. ECEC-based healthy eating interventions may result in little to no difference in child consumption of non-core foods and sugar-sweetened beverages. Healthy eating interventions could have favourable effects on child weight and risk of overweight and obesity, although there was little to no difference in BMI and BMI z-scores. Future studies exploring the impact of specific intervention components, and describing cost-effectiveness and adverse outcomes are needed to better understand how to maximise the impact of ECEC-based healthy eating interventions.
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Affiliation(s)
- Sze Lin Yoong
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Victoria, Australia
- 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
| | - Melanie Lum
- 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
| | - 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
| | - Jacklyn Jackson
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Courtney Barnes
- 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
| | - Alix E Hall
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Sam McCrabb
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Nicole Pearson
- 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
| | - Cassandra Lane
- 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
| | - Jannah Z Jones
- 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
| | - Erin Nolan
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Lauren Dinour
- College of Education and Human Services, Montclair State University, Montclair, New Jersey, USA
| | - Therese McDonnell
- School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland
| | - Debbie Booth
- Auchmuty Library, University of Newcastle, Callaghan, Australia
| | - Alice Grady
- 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
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Yoong SL, Lum M, Wolfenden L, Jackson J, Barnes C, Hall AE, McCrabb S, Pearson N, Lane C, Jones JZ, Dinour L, McDonnell T, Booth D, Grady A. Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years. Cochrane Database Syst Rev 2023; 6:CD013862. [PMID: 37306513 PMCID: PMC10259732 DOI: 10.1002/14651858.cd013862.pub2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
BACKGROUND Dietary intake during early childhood can have implications on child health and developmental trajectories. Early childhood education and care (ECEC) services are recommended settings to deliver healthy eating interventions as they provide access to many children during this important period. Healthy eating interventions delivered in ECEC settings can include strategies targeting the curriculum (e.g. nutrition education), ethos and environment (e.g. menu modification) and partnerships (e.g. workshops for families). Despite guidelines supporting the delivery of healthy eating interventions in this setting, little is known about their impact on child health. OBJECTIVES To assess the effectiveness of healthy eating interventions delivered in ECEC settings for improving dietary intake in children aged six months to six years, relative to usual care, no intervention or an alternative, non-dietary intervention. Secondary objectives were to assess the impact of ECEC-based healthy eating interventions on physical outcomes (e.g. child body mass index (BMI), weight, waist circumference), language and cognitive outcomes, social/emotional and quality-of-life outcomes. We also report on cost and adverse consequences of ECEC-based healthy eating interventions. SEARCH METHODS We searched eight electronic databases including CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, Scopus and SportDiscus on 24 February 2022. We searched reference lists of included studies, reference lists of relevant systematic reviews, the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov and Google Scholar, and contacted authors of relevant papers. SELECTION CRITERIA We included randomised controlled trials (RCTs), including cluster-RCTs, stepped-wedge RCTs, factorial RCTs, multiple baseline RCTs and randomised cross-over trials, of healthy eating interventions targeting children aged six months to six years that were conducted within the ECEC setting. ECEC settings included preschools, nurseries, kindergartens, long day care and family day care. To be included, studies had to include at least one intervention component targeting child diet within the ECEC setting and measure child dietary or physical outcomes, or both. DATA COLLECTION AND ANALYSIS Pairs of review authors independently screened titles and abstracts and extracted study data. We assessed risk of bias for all studies against 12 criteria within RoB 1, which allows for consideration of how selection, performance, attrition, publication and reporting biases impact outcomes. We resolved discrepancies via consensus or by consulting a third review author. Where we identified studies with suitable data and homogeneity, we performed meta-analyses using a random-effects model; otherwise, we described findings using vote-counting approaches and via harvest plots. For measures with similar metrics, we calculated mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. We calculated standardised mean differences (SMDs) for primary and secondary outcomes where studies used different measures. We applied GRADE to assess certainty of evidence for dietary, cost and adverse outcomes. MAIN RESULTS: We included 52 studies that investigated 58 interventions (described across 96 articles). All studies were cluster-RCTs. Twenty-nine studies were large (≥ 400 participants) and 23 were small (< 400 participants). Of the 58 interventions, 43 targeted curriculum, 56 targeted ethos and environment, and 50 targeted partnerships. Thirty-eight interventions incorporated all three components. For the primary outcomes (dietary outcomes), we assessed 19 studies as overall high risk of bias, with performance and detection bias being most commonly judged as high risk of bias. ECEC-based healthy eating interventions versus usual practice or no intervention may have a positive effect on child diet quality (SMD 0.34, 95% confidence interval (CI) 0.04 to 0.65; P = 0.03, I2 = 91%; 6 studies, 1973 children) but the evidence is very uncertain. There is moderate-certainty evidence that ECEC-based healthy eating interventions likely increase children's consumption of fruit (SMD 0.11, 95% CI 0.04 to 0.18; P < 0.01, I2 = 0%; 11 studies, 2901 children). The evidence is very uncertain about the effect of ECEC-based healthy eating interventions on children's consumption of vegetables (SMD 0.12, 95% CI -0.01 to 0.25; P =0.08, I2 = 70%; 13 studies, 3335 children). There is moderate-certainty evidence that ECEC-based healthy eating interventions likely result in little to no difference in children's consumption of non-core (i.e. less healthy/discretionary) foods (SMD -0.05, 95% CI -0.17 to 0.08; P = 0.48, I2 = 16%; 7 studies, 1369 children) or consumption of sugar-sweetened beverages (SMD -0.10, 95% CI -0.34 to 0.14; P = 0.41, I2 = 45%; 3 studies, 522 children). Thirty-six studies measured BMI, BMI z-score, weight, overweight and obesity, or waist circumference, or a combination of some or all of these. ECEC-based healthy eating interventions may result in little to no difference in child BMI (MD -0.08, 95% CI -0.23 to 0.07; P = 0.30, I2 = 65%; 15 studies, 3932 children) or in child BMI z-score (MD -0.03, 95% CI -0.09 to 0.03; P = 0.36, I2 = 0%; 17 studies; 4766 children). ECEC-based healthy eating interventions may decrease child weight (MD -0.23, 95% CI -0.49 to 0.03; P = 0.09, I2 = 0%; 9 studies, 2071 children) and risk of overweight and obesity (RR 0.81, 95% CI 0.65 to 1.01; P = 0.07, I2 = 0%; 5 studies, 1070 children). ECEC-based healthy eating interventions may be cost-effective but the evidence is very uncertain (6 studies). ECEC-based healthy eating interventions may have little to no effect on adverse consequences but the evidence is very uncertain (3 studies). Few studies measured language and cognitive skills (n = 2), social/emotional outcomes (n = 2) and quality of life (n = 3). AUTHORS' CONCLUSIONS ECEC-based healthy eating interventions may improve child diet quality slightly, but the evidence is very uncertain, and likely increase child fruit consumption slightly. There is uncertainty about the effect of ECEC-based healthy eating interventions on vegetable consumption. ECEC-based healthy eating interventions may result in little to no difference in child consumption of non-core foods and sugar-sweetened beverages. Healthy eating interventions could have favourable effects on child weight and risk of overweight and obesity, although there was little to no difference in BMI and BMI z-scores. Future studies exploring the impact of specific intervention components, and describing cost-effectiveness and adverse outcomes are needed to better understand how to maximise the impact of ECEC-based healthy eating interventions.
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Affiliation(s)
- Sze Lin Yoong
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Victoria, Australia
- 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
| | - Melanie Lum
- 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
| | - 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
| | - Jacklyn Jackson
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Courtney Barnes
- 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
| | - Alix E Hall
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Sam McCrabb
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
| | - Nicole Pearson
- 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
| | - Cassandra Lane
- 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
| | - Jannah Z Jones
- 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
| | - Lauren Dinour
- College of Education and Human Services, Montclair State University, Montclair, New Jersey, USA
| | - Therese McDonnell
- School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland
| | - Debbie Booth
- Auchmuty Library, University of Newcastle, Callaghan, Australia
| | - Alice Grady
- 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
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Hodder RK, O'Brien KM, Lorien S, Wolfenden L, Moore TH, Hall A, Yoong SL, Summerbell C. Interventions to prevent obesity in school-aged children 6-18 years: An update of a Cochrane systematic review and meta-analysis including studies from 2015-2021. EClinicalMedicine 2022; 54:101635. [PMID: 36281235 PMCID: PMC9581512 DOI: 10.1016/j.eclinm.2022.101635] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background Childhood obesity remains a global public health priority due to the enormous burden it generates. Recent surveillance data suggests there has been a sharp increase in the prevalence of childhood obesity during the COVID-19 pandemic. The Cochrane review of childhood obesity prevention interventions (0-18 years) updated to 2015 is the most rigorous and comprehensive review of randomised controlled trials (RCTs) on this topic. A burgeoning number of high quality studies have been published since that are yet to be synthesised. Methods An update of the Cochrane systematic review was conducted to include RCT studies in school-aged children (6-18 years) published to 30 June 2021 that assessed effectiveness on child weight (PROSPERO registration: CRD42020218928). Available cost-effectiveness and adverse effect data were extracted. Intervention effects on body mass index (BMI) were synthesised in random effects meta-analyses by setting (school, after-school program, community, home), and meta-regression examined the association of study characteristics with intervention effect. Findings Meta-analysis of 140 of 195 included studies (183,063 participants) found a very small positive effect on body mass index for school-based studies (SMD -0·03, 95%CI -0·06,-0·01; trials = 93; participants = 131,443; moderate certainty evidence) but not after-school programs, community or home-based studies. Subgroup analysis by age (6-12 years; 13-18 years) found no differential effects in any setting. Meta-regression found no associations between study characteristics (including setting, income level) and intervention effect. Ten of 53 studies assessing adverse effects reported presence of an adverse event. Insufficient data was available to draw conclusions on cost-effectiveness. Interpretation This updated synthesis of obesity prevention interventions for children aged 6-18 years, found a small beneficial impact on child BMI for school-based obesity prevention interventions. A more comprehensive assessment of interventions is required to identify mechanisms of effective interventions to inform future obesity prevention public health policy, which may be particularly salient in for COVID-19 recovery planning. Funding This research was funded by the National Health and Medical Research Council (NHMRC), Australia (Application No APP1153479).
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Affiliation(s)
- Rebecca K. Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Kate M. O'Brien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sasha Lorien
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Theresa H.M. Moore
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol National Health Service Foundation Trust, Whitefriars, Lewins Mean, Bristol, BS1 2NT, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Beacon House, Queens Road, Bristol, United Kingdom
| | - Alix Hall
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Longworth Avenue, Wallsend, NSW 2287, Australia
- College of Health Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- National Centre of Implementation Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, 29 Kookaburra Drive, New Lambton Heights, NSW 2305, Australia
- Global Obesity Centre, Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Stockton Road, Durham DH1 3LE, United Kingdom
- Fuse, The NIHR Centre for Translational Research in Public Health, United Kingdom
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Wolfenden L, McCrabb S, Barnes C, O'Brien KM, Ng KW, Nathan NK, Sutherland R, Hodder RK, Tzelepis F, Nolan E, Williams CM, Yoong SL. Strategies for enhancing the implementation of school-based policies or practices targeting diet, physical activity, obesity, tobacco or alcohol use. Cochrane Database Syst Rev 2022; 8:CD011677. [PMID: 36036664 PMCID: PMC9422950 DOI: 10.1002/14651858.cd011677.pub3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Several school-based interventions are effective in improving child diet and physical activity, and preventing excessive weight gain, and tobacco or harmful alcohol use. However, schools are frequently unsuccessful in implementing such evidence-based interventions. OBJECTIVES 1. To evaluate the benefits and harms of strategies aiming to improve school implementation of interventions to address student diet, physical activity, tobacco or alcohol use, and obesity. 2. To evaluate the benefits and harms of strategies to improve intervention implementation on measures of student diet, physical activity, obesity, tobacco use or alcohol use; describe their cost or cost-effectiveness; and any harms of strategies on schools, school staff or students. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search was between 1 September 2016 and 30 April 2021 to identify any relevant trials published since the last published review. SELECTION CRITERIA We defined 'Implementation' as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised controlled trial (RCT) or non-randomised controlled trial (non-RCT)) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by students to 'no intervention', 'usual' practice or a different implementation strategy. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Given the large number of outcomes reported, we selected and included the effects of a single outcome measure for each trial for the primary (implementation) and secondary (student health behaviour and obesity) outcomes using a decision hierarchy. Where possible, we calculated standardised mean differences (SMDs) to account for variable outcome measures with 95% confidence intervals (CI). For RCTs, we conducted meta-analyses of primary and secondary outcomes using a random-effects model, or in instances where there were between two and five studies, a fixed-effect model. The synthesis of the effects for non-randomised studies followed the 'Synthesis without meta-analysis' (SWiM) guidelines. MAIN RESULTS We included an additional 11 trials in this update bringing the total number of included studies in the review to 38. Of these, 22 were conducted in the USA. Twenty-six studies used RCT designs. Seventeen trials tested strategies to implement healthy eating, 12 physical activity and six a combination of risk factors. Just one trial sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials used multiple implementation strategies, the most common being educational materials, educational outreach and educational meetings. The overall certainty of evidence was low and ranged from very low to moderate for secondary review outcomes. Pooled analyses of RCTs found, relative to a control, the use of implementation strategies may result in a large increase in the implementation of interventions in schools (SMD 1.04, 95% CI 0.74 to 1.34; 22 RCTs, 1917 participants; low-certainty evidence). For secondary outcomes we found, relative to control, the use of implementation strategies to support intervention implementation may result in a slight improvement on measures of student diet (SMD 0.08, 95% CI 0.02 to 0.15; 11 RCTs, 16,649 participants; low-certainty evidence) and physical activity (SMD 0.09, 95% CI -0.02 to 0.19; 9 RCTs, 16,389 participants; low-certainty evidence). The effects on obesity probably suggest little to no difference (SMD -0.02, 95% CI -0.05 to 0.02; 8 RCTs, 18,618 participants; moderate-certainty evidence). The effects on tobacco use are very uncertain (SMD -0.03, 95% CIs -0.23 to 0.18; 3 RCTs, 3635 participants; very low-certainty evidence). One RCT assessed measures of student alcohol use and found strategies to support implementation may result in a slight increase in use (odds ratio 1.10, 95% CI 0.77 to 1.56; P = 0.60; 2105 participants). Few trials reported the economic evaluations of implementation strategies, the methods of which were heterogeneous and evidence graded as very uncertain. A lack of consistent terminology describing implementation strategies was an important limitation of the review. AUTHORS' CONCLUSIONS The use of implementation strategies may result in large increases in implementation of interventions, and slight improvements in measures of student diet, and physical activity. Further research is required to assess the impact of implementation strategies on such behavioural- and obesity-related outcomes, including on measures of alcohol use, where the findings of one trial suggest it may slightly increase student risk. Given the low certainty of the available evidence for most measures further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.
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Affiliation(s)
- Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Sam McCrabb
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Kate M O'Brien
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Kwok W Ng
- Physical Activity for Health Research Cluster, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- School of Educational Sciences and Psychology, University of Eastern Finland, Joensu, Finland
| | - Nicole K Nathan
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Rebecca K Hodder
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Flora Tzelepis
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Erin Nolan
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Christopher M Williams
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
- Musculoskeletal Division, The George Institute for Global Health, Sydney, NSW, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
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Zoellner JM, You W, Hill JL, Brock DJP, Yuhas M, Price B, Wilson J, Montague DR, Estabrooks PA. Comparing two different family-based childhood obesity treatment programmes in a medically underserved region: Effectiveness, engagement and implementation outcomes from a randomized controlled trial. Pediatr Obes 2022; 17:e12840. [PMID: 34396714 DOI: 10.1111/ijpo.12840] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 06/16/2021] [Accepted: 07/05/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Access to evidence- and family-based childhood obesity (FBCO) treatment interventions is a challenge, especially in underserved regions where childhood obesity disparities persist. OBJECTIVE Compare two 6-month FBCO treatment interventions, iChoose (high intensity, parent-child dyads) and Family Connections (low intensity, parents only), in one underserved US region. METHODS This unblinded, RCT reports on effectiveness and implementation outcomes. Eligibility included children ages 5-12 with BMI ≥85th percentile. Analyses included descriptive statistics and intention-to-treat Heckman treatment effect models. RESULTS Enrolled children (n = 139, mean age 10.1 ± 1.7 years, 30% with overweight, 70% with obesity, 45% black, 63% Medicaid) were randomly assigned to iChoose (n = 70) or Family Connections (n = 69). Retention rates were 63% for iChoose and 84% for Family Connection. Among children, 6-month BMI z-score changes were not statistically significant within iChoose [BMI z-score 0.03 (95% CI = -0.13, 0.19)] or Family Connections [BMI z-score 0.00 (95% CI = -0.16, 0.16)]. Likewise, parents' BMI changes were not statistically significant. No adverse events were reported. Both programmes were delivered with high fidelity (77%-100%). Engagement in core components was 25%-36% for iChoose and 52%-61% for Family Connections. Implementation costs per child with improved BMI z-score were $2841 for iChoose and $955 for Family Connections. CONCLUSIONS Neither intervention yielded significant improvements in child BMI z-score or parent BMI, yet both were delivered with high fidelity. Relative to iChoose, descriptive data indicated higher retention, better engagement, and lower costs for Family Connections-suggesting that a lower intensity and parent-focused programme may better fit the intended audience's context.
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Affiliation(s)
- Jamie M Zoellner
- Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, University of Virginia (UVA), Christiansburg, Virginia, USA
| | - Wen You
- Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, University of Virginia (UVA), Christiansburg, Virginia, USA
| | - Jennie L Hill
- Department of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Donna-Jean P Brock
- Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, University of Virginia (UVA), Christiansburg, Virginia, USA
| | - Maryam Yuhas
- Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, University of Virginia (UVA), Christiansburg, Virginia, USA
| | - Bryan Price
- Community Outreach and Education, UVA Cancer Center, Danville, Virginia, USA
| | - Jonathon Wilson
- Parks and Recreation, City of Danville, Danville, Virginia, USA
| | | | - Paul A Estabrooks
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, Nebraska, USA
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Newson R, Rychetnik L, King L, Milat AJ, Bauman AE. The how and why of producing policy relevant research: perspectives of Australian childhood obesity prevention researchers and policy makers. Health Res Policy Syst 2021; 19:33. [PMID: 33691733 PMCID: PMC7945318 DOI: 10.1186/s12961-021-00687-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/27/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Understanding why research is conducted may help address the under-utilisation of research. This study examined the reasons for childhood obesity prevention knowledge production in New South Wales (NSW), Australia, and the factors influencing research choices from the perspective of the researchers and health policy agencies contributing to the research. METHODS A literature search of SCOPUS and ISI Web of Knowledge (affiliation and key word searches) was conducted to compile a database of NSW childhood obesity research outputs, published between 2000 and 2015 (n = 543). Descriptive statistics were used to quantify outputs by research type, differentiating measurement, descriptive, and intervention research, systematic reviews and other publications. Interviews were conducted with a sample of researchers drawn from the database (n = 13) and decision makers from health policy agencies who funded and contributed to childhood obesity research in NSW (n = 15). Researcher interviews examined views about societal impacts, why and under what circumstances the research was conducted. Decision-maker interviews examined policy agency research investment and how research was used in decision making. Content analysis and a thematic approach was used to analyse the interview transcripts. RESULTS The research in this case was conducted for mix of reasons including those traditionally associated with academic inquiry, as well as intentions to influence policy and practice. Differences in funding mechanisms, administrative and employment arrangements, and 'who' initiated the research, created differing incentives and perspectives for knowledge production. Factors associated with the characteristics and experience of the individuals involved also influenced goals, as did the type of research conducted. Policy agencies played a role in directing research to address policy needs. CONCLUSIONS The findings of this study confirm that researchers are strongly influenced by their working environment. Funding schemes and other incentives to support policy relevant knowledge production are important. Contextual factors such as policy priorities, policy-driven research funding and the embedded nature or strong connections between some researchers and the policy agencies involved, are likely to have influenced the extent to which policy goals were reported in this study.
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Affiliation(s)
- Robyn Newson
- School of Public Health, University of Sydney, Sydney, Australia.
| | - Lucie Rychetnik
- School of Public Health, University of Sydney, Sydney, Australia.,The Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia
| | - Lesley King
- School of Public Health, University of Sydney, Sydney, Australia
| | - Andrew J Milat
- School of Public Health, University of Sydney, Sydney, Australia
| | - Adrian E Bauman
- School of Public Health, University of Sydney, Sydney, Australia
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Wolfenden L, Movsisyan A, McCrabb S, Stratil JM, Yoong SL. Selecting Review Outcomes for Systematic Reviews of Public Health Interventions. Am J Public Health 2021; 111:465-470. [PMID: 33476230 PMCID: PMC7893343 DOI: 10.2105/ajph.2020.306061] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2020] [Indexed: 11/04/2022]
Abstract
For systematic reviews to have an impact on public health, they must report outcomes that are important for decision-making. Systematic reviews of public health interventions, however, have a range of potential end users, and identifying and prioritizing the most important and relevant outcomes represents a considerable challenge.In this commentary, we describe potentially useful approaches that systematic review teams can use to identify review outcomes to best inform public health decision-making. Specifically, we discuss the importance of stakeholder engagement, the use of logic models, consideration of core outcome sets, reviews of the literature on end users' needs and preferences, and the use of decision-making frameworks in the selection and prioritization of outcomes included in reviews.The selection of review outcomes is a critical step in the production of public health reviews that are relevant to those who use them. Utilizing the suggested strategies may help the review teams better achieve this.
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Affiliation(s)
- Luke Wolfenden
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Ani Movsisyan
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Sam McCrabb
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Jan M Stratil
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
| | - Sze Lin Yoong
- Luke Wolfenden and Sam McCrabb are with the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia. Ani Movsisyan and Jan M. Stratil are with the Institute for Medical Information Processing, Biometry and Epidemiology and the Pettenkofer School of Public Health, Ludwig Maximilian University of Munich, Munich, Germany. Sze Lin Yoong is with the Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia
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Yoong SL, Lum M, Jackson J, Wolfenden L, Barnes C, Jones J, Pearson N, McCrabb S, Hall AE, Leonard A, McDonnell T, Grady A. Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six years and below. Hippokratia 2021. [DOI: 10.1002/14651858.cd013862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Sze Lin Yoong
- Hunter New England Population Health; Hunter New England Local Health District; Wallsend Australia
- Swinburne University of Technology; Hawthorn Australia
| | - Melanie Lum
- 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
| | - Jacklyn Jackson
- 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
- Hunter Medical Research Institute; New Lambton Australia
| | - Courtney Barnes
- 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
- Hunter Medical Research Institute; New Lambton Australia
| | - Jannah Jones
- 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
- Hunter Medical Research Institute; New Lambton Australia
| | - Nicole Pearson
- 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
- Hunter Medical Research Institute; New Lambton Australia
| | - Sam McCrabb
- School of Medicine and Public Health; The University of Newcastle; Callaghan Australia
- Hunter Medical Research Institute; New Lambton Australia
| | - Alix E Hall
- School of Medicine and Public Health; The University of Newcastle; Callaghan Australia
- Hunter Medical Research Institute; New Lambton Australia
| | - Alecia Leonard
- School of Medicine and Public Health; The University of Newcastle; Callaghan Australia
| | - Therese McDonnell
- School of Nursing, Midwifery and Health Systems; University College Dublin; Dublin Ireland
| | - Alice Grady
- 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
- Hunter Medical Research Institute; New Lambton Australia
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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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12
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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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13
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Kerr JA, Loughman A, Knox A, Koplin JJ, Allen KJ, Wake M. Nutrition-related interventions targeting childhood overweight and obesity: A narrative review. Obes Rev 2019; 20 Suppl 1:45-60. [PMID: 31419049 DOI: 10.1111/obr.12768] [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: 08/16/2018] [Accepted: 08/17/2018] [Indexed: 11/27/2022]
Abstract
Systematic reviews of nutritional interventions indicate limited efficacy in reducing childhood obesity, but their blanket conclusions could obscure promising components. This narrative review sought more detail on effective components within nutrition-related interventions involving children aged 2 to 11 years. In May 2016, the World Health Organization (WHO) searched the Cochrane Library and PubMed for relevant reviews. From 36 reviews, we screened 182 nutrition-related randomized trials for inclusion. We then reviewed those that reported at least 1 statistically significant (P < 0.05) treatment benefit on body weight and/or composition outcomes at their longest follow-up assessment. Fourteen trials met inclusion criteria (median n = 554; mean intervention duration = 10.8 mo; follow-up = 4.4 mo). "Effective" approaches included environmental changes such as school water fountain installations and cafeteria menu changes and possibly less sustainable strategies such as health education lessons. However, effect sizes even of these selected significant treatment benefits were modest-significant body mass index z-score effects range from -0.1 to -0.2. Each trial was associated with very small improvements in body composition. Because this is a "best-case" scenario (reflecting our design), trialists should rigorously test these strategies alone and possibly together; be open to novel strategies; and ensure that each strategy is culturally relevant and self-sustainable.
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Affiliation(s)
- Jessica A Kerr
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Amy Loughman
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.,Food & Mood Centre, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, VIC, Geelong, Australia
| | - Andrew Knox
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Jennifer J Koplin
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Katrina J Allen
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Department of Allergy and Immunology, Royal Children's Hospital, Parkville, VIC, Australia
| | - Melissa Wake
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Department of Paediatrics and The Liggins Institute, University of Auckland, Auckland, New Zealand
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14
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Zoellner JM, You W, Hill JL, Brock DJP, Yuhas M, Alexander RC, Price B, Estabrooks PA. A comparative effectiveness trial of two family-based childhood obesity treatment programs in a medically underserved region: Rationale, design & methods. Contemp Clin Trials 2019; 84:105801. [PMID: 31260792 DOI: 10.1016/j.cct.2019.06.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 06/13/2019] [Accepted: 06/27/2019] [Indexed: 12/18/2022]
Abstract
While there is a large body of literature documenting the efficacy of family-based childhood obesity (FBCO) treatment interventions, there is little evidence that these interventions have been systematically translated into regular practice - particularly in health disparate regions. To address this research-practice gap, this project was guided by a community advisory board (CAB) and the RE-AIM planning and evaluation framework within a systems-based and community-based participatory research approach. Families with overweight or obese children between 5 and 12 years old, in the medically-underserved Dan River Region, were randomly assigned to one of two FBCO treatment programs (iChoose vs. Family Connections) delivered by local Parks & Recreation staff. Both programs have previously demonstrated clinically meaningful child BMI z-score reductions, but vary in intensity, structure, and implementation demands. Two clinical CAB partners embedded recruitment methods into their regional healthcare organization, using procedures representative to what could be used if either program was taken to scale. The primary effectiveness outcome is child BMI z-scores at 6-months, with additional assessments at 3-months and at 12-months. Secondary goals are to determine: (1) reach into the intended audience; (2) effectiveness on secondary child and parent outcomes; (3) intervention adoption by organizations and staff; (4) fidelity, cost, and capacity for intervention implementation; and (5) maintenance of individual-level changes and organizational-level sustainability. This research addresses literature gaps related to the features within clinical and community settings that could improve both child weight status and the translation of FBCO interventions into typical practice in medically-underserved communities. IDENTIFIERS: Clincialtrials.gov: NCT03245775.
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Affiliation(s)
- Jamie M Zoellner
- University of Virginia (UVA), Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA.
| | - Wen You
- Virginia Tech, Department of Agricultural and Applied Economics, 304 Hutcheson Hall, 24060, USA
| | - Jennie L Hill
- Department of Epidemiology, University of Nebraska Medical Center, 986075 Nebraska Medical Center, Omaha, NE 68198-6075, USA
| | - Donna-Jean P Brock
- University of Virginia (UVA), Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA
| | - Maryam Yuhas
- University of Virginia (UVA), Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA
| | - Ramine C Alexander
- Department of Family and Consumer Sciences, North Carolina A&T State University, Benbow 202-A, Greensboro, NC 27411, USA
| | - Bryan Price
- UVA Cancer Center, Community Outreach and Education, Main Street, Unit 102, Danville, VA 24541, USA
| | - Paul A Estabrooks
- Department of Health Promotion, University of Nebraska Medical Center, 986075 Nebraska Medical Center, Omaha, NE 68198-6075, USA
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15
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Hill JL, Zoellner JM, You W, Brock DJ, Price B, Alexander RC, Frisard M, Brito F, Hou X, Estabrooks PA. Participatory development and pilot testing of iChoose: an adaptation of an evidence-based paediatric weight management program for community implementation. BMC Public Health 2019; 19:122. [PMID: 30696420 PMCID: PMC6352451 DOI: 10.1186/s12889-019-6450-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 01/17/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND To describe the identification, adaptation, and testing of an evidence-based pediatric weight management program for a health disparate community. METHODS A community advisory board (CAB) of decision-makers and staff from local health care, public health, and recreation organizations engaged with academic partners to select an evidence-based program (EBP) for local implementation. Three EBPs were identified (Traffic Light, Bright Bodies, Golan and colleagues Home Environmental Model) and each EBP was rated on program characteristics, implementation and adaptation, and adoptability. Following selection of the EBP that was rated highest, the POPS-CAB made adaptations based on the program principles described in peer-reviewed publications. The adapted intervention, iChoose, was then pilot tested in 3 iterative phases delivered initially by research partners, then co-delivered by research and community partners, then delivered by community partners. The RE-AIM framework was used to plan and evaluate the iChoose intervention across all waves with assessments at baseline, post program (3 months), and follow-up (6 months). RESULTS Bright Bodies rated highest on program characteristics and adoptability (p's < 0.05), while Home Environmental Model rated highest on implementation factors (p < 0.05). Qualitatively, the selection focused on important program characteristics and on matching those characteristics to the potential to fit within the community partner services. The adapted program-iChoose-had 18% reach and with participants that were representative of the target population on age, gender, ethnicity, and race. Effectiveness was demonstrated by modest, but significant reductions in BMI z-scores at post-program compared to baseline (MΔ = - 0.047; t = - 2.11, p = 0.046). This decrease returned to values similar to baseline 3 months (MΔ = 0.009) after the program was completed. Implementation fidelity was high and implementation fidelity did not differ between community or research delivery agents. CONCLUSION The process to help organizations identify and select evidence-based programs appropriate for their community led to consensus on a single EBP. While iChoose was successful in initiating changes in BMI z-scores, could be implemented in a low resource community with fidelity, it was insufficient to lead to sustained child BMI z-scores. In response to these data, maintenance of program effects and delivery are the current focus of the CBPR team.
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Affiliation(s)
- Jennie L. Hill
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, USA
| | - Jamie M. Zoellner
- Department of Public Health Sciences, School of Medicine, P.O. Box 800717, Charlottesville, VA 22908-0717 USA
| | - Wen You
- Department of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA 24061 USA
| | - Donna J. Brock
- Department of Public Health Sciences, School of Medicine, P.O. Box 800717, Charlottesville, VA 22908-0717 USA
| | - Bryan Price
- Education and Outreach Specialist, University of Virginia and Cancer Center, P.O. Box 800717, Charlottesville, VA 22908-0717 USA
| | - Ramine C. Alexander
- Department of Family and Consumer Sciences, North Carolina Agricultural and Technical State University, Benbow 202-A, Greensboro, NC 27405 USA
| | - Madlyn Frisard
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, 1981 Kraft Drive (0913), ILSB 23, Rm 1085, Blacksburg, VA 24061 USA
| | - Fabiana Brito
- College of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE 68198-4365 USA
| | - Xiaolu Hou
- Virginia Tech University, Blacksburg, USA
| | - Paul A. Estabrooks
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, 986075 Nebraska Medical Center, Omaha, NE 68198-6075 USA
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16
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Brock DJP, Estabrooks PA, Hill JL, Barlow ML, Alexander RC, Price BE, Marshall R, Zoellner JM. Building and Sustaining Community Capacity to Address Childhood Obesity: A 3-Year Mixed-Methods Case Study of a Community-Academic Advisory Board. FAMILY & COMMUNITY HEALTH 2019; 42:62-79. [PMID: 30431470 PMCID: PMC6713197 DOI: 10.1097/fch.0000000000000212] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Guided by a community-based participatory research and systems-based approach, this 3-year mixed-methods case study describes the experiences and capacity development of a Community-Academic Advisory Board (CAB) formed to adapt, implement, and evaluate an evidence-based childhood obesity treatment program in a medically underserved region. The CAB included community, public health, and clinical (n = 9) and academic partners (n = 9). CAB members completed capacity evaluations at 4 points. Partners identified best practices that attributed to the successful execution and continued advancement of project goals. The methodological framework and findings can inform capacity development and sustainability of emergent community-academic collaborations.
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Affiliation(s)
- Donna-Jean P Brock
- Public Health Sciences (Ms Brock and Dr Zoellner) and Cancer Center (Mr Price), University of Virginia, Charlottesville; Departments of Health Promotions (Dr Estabrooks) and Epidemiology (Dr Hill), University of Nebraska Medical Center, Omaha; DukeImmerse, Office of Undergraduate Education, Duke University, Durham, North Carolina (Ms Barlow); Department of Family and Consumer Sciences, North Carolina A&T State University, Greensboro (Dr Alexander); and Sovah Health, Danville, Virginia (Ms Marshall)
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17
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Finch M, Seward K, Wedesweiler T, Stacey F, Grady A, Jones J, Wolfenden L, Yoong SL. Challenges of Increasing Childcare Center Compliance With Nutrition Guidelines: A Randomized Controlled Trial of an Intervention Providing Training, Written Menu Feedback, and Printed Resources. Am J Health Promot 2018; 33:399-411. [PMID: 30004247 DOI: 10.1177/0890117118786859] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE To assess the effectiveness of an intervention including training, provision of written menu feedback, and printed resources on increasing childcare compliance with nutrition guidelines. DESIGN Parallel group randomized controlled trial. SETTING Hunter New England region, New South Wales, Australia. PARTICIPANTS Forty-four childcare centers that prepare and provide food on-site to children while in care. INTERVENTION The intervention was designed using the Theoretical Domains Framework, targeted managers, and cooks and included implementation strategies that addressed identified barriers. MEASURES Outcomes included the proportion of menus providing food servings (per child) compliant with overall nutrition guideline recommendations and each individual food group assessed via menu assessments. Cook knowledge of recommendations, intervention acceptability, adverse events, and barriers were also assessed via questionnaires with cooks and managers. ANALYSIS Logistic regression models, adjusted for baseline values of the outcome. RESULTS At baseline and follow-up, zero centers in the intervention and control groups were compliant with the overall menu guidelines or for the vegetable and meat food groups. Follow-up between-group differences in compliance for discretionary (33.3 vs 5, P = .18), dairy (41.7 vs 15, P = .16), breads and cereals (8.3 vs 10 P = 1.00), and fruit (16.7 vs 10, P = .48) were all nonsignificant. Relative to the control group, intervention centers showed a significantly greater increase in percentage of cooks with correct knowledge for vegetable servings (93.3 vs 36.4, P = .008). CONCLUSION Although the application of the theoretical framework produced a broader understanding of the determinants of menu compliance, due to the complexity of guidelines, limited follow-up support, lower training uptake, and low intervention dose, the intervention was not effective in supporting the practice change required.
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Affiliation(s)
- Meghan Finch
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia.,2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,3 Hunter Medical Research Institute, Newcastle, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Kirsty Seward
- 2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Taya Wedesweiler
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Fiona Stacey
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia.,2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,3 Hunter Medical Research Institute, Newcastle, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Alice Grady
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia.,2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,3 Hunter Medical Research Institute, Newcastle, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Jannah Jones
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia.,2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,3 Hunter Medical Research Institute, Newcastle, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Luke Wolfenden
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia.,2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,3 Hunter Medical Research Institute, Newcastle, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Sze Lin Yoong
- 1 Hunter New England Population Health, Wallsend, New South Wales, Australia.,2 School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.,3 Hunter Medical Research Institute, Newcastle, New South Wales, Australia.,4 Priority Research Center for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
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18
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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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Hodder RK, Stacey FG, O'Brien KM, 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; 1:CD008552. [PMID: 29365346 PMCID: PMC6491117 DOI: 10.1002/14651858.cd008552.pub4] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [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 chronic diseases, including cardiovascular disease. 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 the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE and Embase to identify eligible trials on 25 September 2017. We searched Proquest Dissertations and Theses and two clinical trial registers 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 55 trials with 154 trial arms and 11,108 participants. Thirty-three trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Thirteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Eight 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 intervention delivered to children in increasing child fruit and vegetable intake.We judged 14 of the 55 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.Meta-analysis of trials examining child-feeding practices versus no intervention revealed a positive effect on child vegetable consumption (SMD 0.38, 95% confidence interval (CI) 0.15 to 0.61; n = 1509; 11 studies; very low-quality evidence), equivalent to a mean difference of 4.03 g of vegetables. There were no short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.11, 95% CI -0.05 to 0.28; n = 3023; 10 studies; very low-quality evidence) or multicomponent interventions versus no intervention (SMD 0.28, 95% CI -0.06 to 0.63; n = 1861; 4 studies; 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 three studies reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 55 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains sparse. There was very low-quality evidence that child-feeding practice interventions are effective in increasing vegetable consumption in children aged five years and younger, however the effect size was very small and long-term follow-up is required. There was very low-quality evidence that parent nutrition education and multicomponent interventions are not effective in increasing fruit and vegetable consumption in children aged five years and younger. All findings should be considered with caution, given most included trials could not be combined in meta-analyses. Given the very low-quality evidence, future research will very likely change estimates and conclusions. Such 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
| | - 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
| | - Kate M O'Brien
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - 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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Wolfenden L, Nathan NK, Sutherland R, Yoong SL, Hodder RK, Wyse RJ, Delaney T, Grady A, Fielding A, Tzelepis F, Clinton‐McHarg T, Parmenter B, Butler P, Wiggers J, Bauman A, Milat A, Booth D, Williams CM. Strategies for enhancing the implementation of school-based policies or practices targeting risk factors for chronic disease. Cochrane Database Syst Rev 2017; 11:CD011677. [PMID: 29185627 PMCID: PMC6486103 DOI: 10.1002/14651858.cd011677.pub2] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND A number of school-based policies or practices have been found to be effective in improving child diet and physical activity, and preventing excessive weight gain, tobacco or harmful alcohol use. Schools, however, frequently fail to implement such evidence-based interventions. OBJECTIVES The primary aims of the review are to examine the effectiveness of strategies aiming to improve the implementation of school-based policies, programs or practices to address child diet, physical activity, obesity, tobacco or alcohol use.Secondary objectives of the review are to: Examine the effectiveness of implementation strategies on health behaviour (e.g. fruit and vegetable consumption) and anthropometric outcomes (e.g. BMI, weight); describe the impact of such strategies on the knowledge, skills or attitudes of school staff involved in implementing health-promoting policies, programs or practices; describe the cost or cost-effectiveness of such strategies; and describe any unintended adverse effects of strategies on schools, school staff or children. SEARCH METHODS All electronic databases were searched on 16 July 2017 for studies published up to 31 August 2016. We searched the following electronic databases: Cochrane Library including the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; Embase Classic and Embase; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); Dissertations and Theses; and SCOPUS. We screened reference lists of all included trials for citations of other potentially relevant trials. We handsearched all publications between 2011 and 2016 in two specialty journals (Implementation Science and Journal of Translational Behavioral Medicine) and conducted searches of the WHO International Clinical Trials Registry Platform (ICTRP) (http://apps.who.int/trialsearch/) as well as the US National Institutes of Health registry (https://clinicaltrials.gov). We consulted with experts in the field to identify other relevant research. SELECTION CRITERIA 'Implementation' was defined as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised or non-randomised) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by school staff to 'no intervention', 'usual' practice or a different implementation strategy. DATA COLLECTION AND ANALYSIS Citation screening, data extraction and assessment of risk of bias was performed by review authors in pairs. Disagreements between review authors were resolved via consensus, or if required, by a third author. Considerable trial heterogeneity precluded meta-analysis. We narratively synthesised trial findings by describing the effect size of the primary outcome measure for policy or practice implementation (or the median of such measures where a single primary outcome was not stated). MAIN RESULTS We included 27 trials, 18 of which were conducted in the USA. Nineteen studies employed randomised controlled trial (RCT) designs. Fifteen trials tested strategies to implement healthy eating policies, practice or programs; six trials tested strategies targeting physical activity policies or practices; and three trials targeted tobacco policies or practices. Three trials targeted a combination of risk factors. None of the included trials sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials examined multi-strategic implementation strategies and no two trials examined the same combinations of implementation strategies. The most common implementation strategies included educational materials, educational outreach and educational meetings. For all outcomes, the overall quality of evidence was very low and the risk of bias was high for the majority of trials for detection and performance bias.Among 13 trials reporting dichotomous implementation outcomes-the proportion of schools or school staff (e.g. classes) implementing a targeted policy or practice-the median unadjusted (improvement) effect sizes ranged from 8.5% to 66.6%. Of seven trials reporting the percentage of a practice, program or policy that had been implemented, the median unadjusted effect (improvement), relative to the control ranged from -8% to 43%. The effect, relative to control, reported in two trials assessing the impact of implementation strategies on the time per week teachers spent delivering targeted policies or practices ranged from 26.6 to 54.9 minutes per week. Among trials reporting other continuous implementation outcomes, findings were mixed. Four trials were conducted of strategies that sought to achieve implementation 'at scale', that is, across samples of at least 50 schools, of which improvements in implementation were reported in three trials.The impact of interventions on student health behaviour or weight status were mixed. Three of the eight trials with physical activity outcomes reported no significant improvements. Two trials reported reductions in tobacco use among intervention relative to control. Seven of nine trials reported no between-group differences on student overweight, obesity or adiposity. Positive improvements in child dietary intake were generally reported among trials reporting these outcomes. Three trials assessed the impact of implementation strategies on the attitudes of school staff and found mixed effects. Two trials specified in the study methods an assessment of potential unintended adverse effects, of which, they reported none. One trial reported implementation support did not significantly increase school revenue or expenses and another, conducted a formal economic evaluation, reporting the intervention to be cost-effective. Trial heterogeneity, and the lack of consistent terminology describing implementation strategies, were important limitations of the review. AUTHORS' CONCLUSIONS Given the very low quality of the available evidence, it is uncertain whether the strategies tested improve implementation of the targeted school-based policies or practices, student health behaviours, or the knowledge or attitudes of school staff. It is also uncertain if strategies to improve implementation are cost-effective or if they result in unintended adverse consequences. Further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.
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Hodder RK, Stacey FG, Wyse RJ, O'Brien KM, Clinton‐McHarg T, Tzelepis F, Nathan NK, James EL, Bartlem KM, 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 2017; 9:CD008552. [PMID: 28945919 PMCID: PMC6483688 DOI: 10.1002/14651858.cd008552.pub3] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future chronic diseases, including cardiovascular disease. 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 the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE, Embase Classic and Embase to identify eligible trials on 30 September 2016. We searched CINAHL and PsycINFO in July 2016, Proquest Dissertations and Theses in November 2016 and three clinical trial registers in November 2016 and June 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 50 trials with 137 trial arms and 10,267 participants. Thirty trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Eleven trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Eight 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 intervention delivered to children in increasing child fruit and vegetable intake.Thirteen of the 50 included trials were judged 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 of remaining studies.Meta-analysis of trials examining child-feeding practices versus no intervention revealed a positive effect on child vegetable consumption (SMD 0.38, 95% CI 0.15 to 0.61; n = 1509; 11 studies; very low-quality evidence), equivalent to a mean difference of 4.03 grams of vegetables. There were no short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.11, 95% CI -0.05 to 0.28; n = 3023; 10 studies; very low-quality evidence) or multicomponent interventions versus no intervention (SMD 0.28, 95% CI -0.06 to 0.63; n = 1861; 4 studies; 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 two studies reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 50 eligible trials of various intervention approaches, the evidence for how to increase fruit and vegetable consumption of children remains sparse. There was very low-quality evidence child-feeding practice interventions are effective in increasing vegetable consumption of children aged five years and younger, however the effect size was very small and long-term follow-up is required. There was very low-quality evidence that parent nutrition education and multicomponent interventions are not effective in increasing fruit and vegetable consumption of children aged five years and younger. All findings should be considered with caution, given most included trials could not be combined in meta-analyses. Given the very low-quality evidence, future research will very likely change estimates and conclusions. Such 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
| | - 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
| | - Nicole K Nathan
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - 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
| | - Rachel Sutherland
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Emma Robson
- Hunter New England Local Health DistrictHunter Population HealthLocked Bag 10WallsendAustralia
| | - 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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Nathan N, Wiggers J, Wyse R, Williams CM, Sutherland R, Yoong SL, Lecathelinais C, Wolfenden L. Factors associated with the implementation of a vegetable and fruit program in a population of Australian elementary schools. HEALTH EDUCATION RESEARCH 2017; 32:197-205. [PMID: 28380629 DOI: 10.1093/her/cyx038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 02/12/2017] [Indexed: 06/07/2023]
Abstract
Implementation of vegetable and fruit programs in schools is less than optimal. This study aimed to identify, using a theoretical framework, factors associated with implementation of a school vegetable and fruit program; that provides a time in class for children to consume a piece of vegetable or fruit they have brought from home. Three hundred and three randomly selected school principals across the state of New South Wales, Australia responded to a 25-min telephone survey. Principals were asked if their school had implemented a vegetable and fruit program, and which of 12 factors from Damschroder's consolidated framework for implementation research had facilitated or impeded implementation. Multiple logistic regression models examined the association between such factors and program implementation. Seventy-eight percent of schools had a vegetable and fruit program. Schools were significantly more likely to implement the program if the principal believed that: the program was effective (OR = 2.97; P < 0.02); they had sufficient resources to implement the program (OR = 4.22; P < 0.0001); the program would not be difficult to implement (OR = 10.16; P< 0.0001) and that the program was as important as other school priorities (OR = 2.45; P < 0.02). Realizing the intended benefits of vegetable and fruit programs requires widespread implementation by schools. Consideration of principal beliefs about the program effectiveness, resources, difficultly and relative importance in program implementation strategies appear key to increasing program implementation.
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Affiliation(s)
- N Nathan
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - J Wiggers
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - R Wyse
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - C M Williams
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - R Sutherland
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - S L Yoong
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - C Lecathelinais
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
| | - L Wolfenden
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Locked Bag No 10, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
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23
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Stoneham MJ, Kite J. Changing the knowledge translation landscape through blogging. Aust N Z J Public Health 2017; 41:333-334. [PMID: 28245523 DOI: 10.1111/1753-6405.12656] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Melissa J Stoneham
- Public Health Advocacy Institute of Western Australia, Curtin University, Western Australia
| | - James Kite
- School of Public Health, University of Sydney, New South Wales
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24
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Zoellner J, Hill JL, Brock D, Barlow ML, Alexander R, Brito F, Price B, Jones CL, Marshall R, Estabrooks PA. One-Year Mixed-Methods Case Study of a Community-Academic Advisory Board Addressing Childhood Obesity. Health Promot Pract 2017; 18:833-853. [PMID: 29039710 DOI: 10.1177/1524839916689550] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Using a community-based participatory research and systems-based approach, the purpose of this community case study is to describe the planning process and first-year experiences of community-academic advisory board (CAB) partners involved with the development of an evidence-based childhood obesity treatment program in a medically underserved region. METHOD Regional community partners ( n = 9; Pittsylvania/Danville Health District, Children's Healthcare Center, Danville Parks & Recreation, and Danville Boys & Girls Club) and academic partners ( n = 9) met monthly to select and adapt an evidence-based childhood obesity program, develop evaluation and recruitment protocols, and plan for program implementation. In the first 3 months, members developed a mixed-methods capacity evaluation, administered at 3 and 11 months following the first CAB meeting. RESULTS Most capacity dimensions were rated highly and demonstrated no significant change over time. However, perceptions of trust approached a significant increase ( p = .055), the ability to resolve conflicts significantly increased ( p = .018), and participation and influ-ence perceptions significantly decreased ( p = .001). Qualitative analysis elucidated members' experiences and key facilitator and barrier themes emerged. CONCLUSIONS Similarities and differences between community and academic members' experiences allowed synthesis of best practices and lessons learned. The methodological framework and best practices can inform the capacity development for new community-academic collaborations.
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Affiliation(s)
| | - Jennie L Hill
- 2 University of Nebraska Medical Center, Omaha, NE, USA
| | | | | | | | - Fabiana Brito
- 2 University of Nebraska Medical Center, Omaha, NE, USA
| | - Bryan Price
- 4 Danville Parks & Recreation Department, Danville, VA, USA
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25
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Cauchi D, Glonti K, Petticrew M, Knai C. Environmental components of childhood obesity prevention interventions: an overview of systematic reviews. Obes Rev 2016; 17:1116-1130. [PMID: 27432025 DOI: 10.1111/obr.12441] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 05/05/2016] [Accepted: 05/23/2016] [Indexed: 02/05/2023]
Abstract
Childhood obesity has a complex multi-factorial aetiology grounded in environmental and individual level factors that affect behaviour and outcomes. An ecological, systems-based approach to addressing childhood obesity is increasingly being advocated. The primary aim of this review is to summarize the evidence reported in systematic reviews on the effectiveness of population-level childhood obesity prevention interventions that have an environmental component. We conducted a systematic review of reviews published since 1995, employing a standardized search strategy in nine databases. Inclusion criteria required that reviews be systematic and evaluated at least one population-level, environmental intervention in any setting aimed at preventing or reducing obesity in children (5-18 years). Sixty-three reviews were included, ten of which were of high quality. Results show modest impact of a broad range of environmental strategies on anthropometric outcomes. Systematic reviews vary in methodological quality, and not all relevant primary studies may be included in each review. To ensure relevance of our findings to practice, we also report on relevant underlying primary studies, providing policy-relevant recommendations based on the evidence reviewed. Greater standardization of review methods and reporting structures will benefit policymakers and public health professionals seeking informed decision-making.
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Affiliation(s)
- D Cauchi
- Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - K Glonti
- Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - M Petticrew
- Department of Social and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - C Knai
- Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Wolfenden L, Ziersch A, Robinson P, Lowe J, Wiggers J. Reducing research waste and improving research impact. Aust N Z J Public Health 2016; 39:303-4. [PMID: 26239576 DOI: 10.1111/1753-6405.12467] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
| | | | | | | | - John Wiggers
- School of Medicine and Public Health, The University of Newcastle, New South Wales.,Hunter New England Population Health, New South Wales
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27
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Laws R, Hesketh KD, Ball K, Cooper C, Vrljic K, Campbell KJ. Translating an early childhood obesity prevention program for local community implementation: a case study of the Melbourne InFANT Program. BMC Public Health 2016; 16:748. [PMID: 27502184 PMCID: PMC4977772 DOI: 10.1186/s12889-016-3361-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 07/23/2016] [Indexed: 11/10/2022] Open
Abstract
Background While there is a growing interest in the field of research translation, there are few published examples of public health interventions that have been effectively scaled up and implemented in the community. This paper provides a case study of the community-wide implementation of the Melbourne Infant, Feeding, Activity and Nutrition Trial (InFANT), an obesity prevention program for parents with infants aged 3–18 months. The study explored key factors influencing the translation of the Program into routine practice and the respective role of policy makers, researchers and implementers. Methods Case studies were conducted of five of the eight prevention areas in Victoria, Australia who implemented the Program. Cases were selected on the basis of having implemented the Program for 6 months or more. Data were collected from January to June 2015 and included 18 individual interviews, one focus group and observation of two meetings. A total of 28 individuals, including research staff (n = 4), policy makers (n = 2) and implementers (n = 22), contributed to the data collected. Thematic analysis was conducted using cross case comparisons and key themes were verified through member checking. Results Key facilitators of implementation included availability of a pre-packaged evidence based program addressing a community need, along with support and training provided by research staff to local implementers. Partnerships between researchers and policy makers facilitated initial program adoption, while local partnerships supported community implementation. Community partnerships were facilitated by local coordinators through alignment of program goals with existing policies and services. Workforce capacity for program delivery and administration was a challenge, largely overcome by embedding the Program into existing roles. Adapting the Program to fit local circumstance was critical for feasible and sustainable delivery, however balancing this with program fidelity was a critical issue. The lack of ongoing funding to support translation activities was a barrier for researchers continued involvement in community implementation. Conclusion Policy makers, researchers and practitioners have important and complementary roles to play in supporting the translation of effective research interventions into practice. New avenues need to be explored to strengthen partnerships between researchers and end users to support the integration of effective public health research interventions into practice. Electronic supplementary material The online version of this article (doi:10.1186/s12889-016-3361-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- R Laws
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia. .,Centre for Obesity Management and Prevention Research Excellence in Primary Health Care (COMPaRE-PHC), Sydney, Australia. .,Centre of Research Excellence in Early Prevention of Obesity in Childhood, Sydney, Australia.
| | - K D Hesketh
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia.,Centre of Research Excellence in Early Prevention of Obesity in Childhood, Sydney, Australia
| | - K Ball
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia.,Centre for Obesity Management and Prevention Research Excellence in Primary Health Care (COMPaRE-PHC), Sydney, Australia
| | - C Cooper
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
| | - K Vrljic
- Prevention and Population Health, Department of Health and Human Services, Melbourne, Australia
| | - K J Campbell
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia.,Centre for Obesity Management and Prevention Research Excellence in Primary Health Care (COMPaRE-PHC), Sydney, Australia.,Centre of Research Excellence in Early Prevention of Obesity in Childhood, Sydney, Australia
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Finch M, Jones J, Yoong S, Wiggers J, Wolfenden L. Effectiveness of centre-based childcare interventions in increasing child physical activity: a systematic review and meta-analysis for policymakers and practitioners. Obes Rev 2016; 17:412-28. [PMID: 27005942 DOI: 10.1111/obr.12392] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Revised: 01/27/2016] [Accepted: 01/28/2016] [Indexed: 11/29/2022]
Abstract
CONTEXT The review describes the effectiveness of physical activity interventions implemented in centre-based childcare services and (i) examines characteristics of interventions that may influence intervention effects; (ii) describes the effects of pragmatic interventions and non-pragmatic interventions; (iii) assesses adverse effects; and (iv) describes cost-effectiveness of interventions METHODS Data sources were Cochrane Central Register of Controlled trials, MEDLINE, EMBASE, PsycINFO, ERIC, CINAHL, SCOPUS and SPORTDISCUS. Studies selected included randomized controlled trials conducted in centre-based childcare including an intervention to increase objectively measured physical activity in children aged less than 6 years. Data were converted into standardized mean difference (SMD) and analysed using a random effects model. RESULTS Overall interventions significantly improved child physical activity (SMD 0.44; 95% confidence interval [CI]: 0.12-0.76). Significant effects were found for interventions that included structured activity (SMD 0.53; 95% CI: 0.12-0.94), delivery by experts (SMD 1.26; 95% CI: 0.20-2.32) and used theory (SMD 0.76; 95% CI: 0.08-1.44). Non-pragmatic (SMD 0.80; 95% CI: 0.12-1.48) but not pragmatic interventions (SMD 0.10; 95% CI:-0.13-0.33) improved child physical activity. One trial reported adverse events, and no trials reported cost data. CONCLUSIONS Intervention effectiveness varied according to intervention and trial design characteristics. Pragmatic trials were not effective, and information on cost and adverse effects was lacking. Evidence gaps remain for policymakers and practitioners regarding the effectiveness and feasibility of childcare-based physical activity interventions.
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Affiliation(s)
- M Finch
- Hunter New England Population Health, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - J Jones
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - S Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - J Wiggers
- Hunter New England Population Health, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - L Wolfenden
- Hunter New England Population Health, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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Kite J, Indig D, Mihrshahi S, Milat A, Bauman A. Assessing the usefulness of systematic reviews for policymakers in public health: A case study of overweight and obesity prevention interventions. Prev Med 2015; 81:99-107. [PMID: 26303371 DOI: 10.1016/j.ypmed.2015.08.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 08/12/2015] [Accepted: 08/13/2015] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Systematic reviews (SRs) should include policy-relevant information in order to more readily inform policy and practice. We investigated whether SRs of overweight and obesity prevention interventions are framed in such a way that maximises their usefulness for policymakers. METHOD We conducted a systematic review of SRs of overweight and obesity prevention interventions published in 4 databases any time up to December 2014. We analysed the SRs for their usefulness to policymakers, using a coding frame developed based on literature around what policymakers want and need from systematic reviews. Systematic reviews were assessed for a) policy links and framing; b) quality assessment and conflict of interest statements: and c) discussion of policy implications. RESULTS Of the 153 SRs that met the inclusion criteria, very few (7%) had authors from policy-based organisations, 48% had funding from such organisations, and almost a third (31%) framed their introduction or aims around policy. Most (69%) discussed issues affecting generalisability of the SR findings but only a quarter (24%) discussed cost or cost-effectiveness of the intervention under investigation. Less than a third (29%) of SRs discussed the policy implications of their findings. SRs that were policy-framed were significantly more likely to discuss costs (PR=1.8, 95%CI 1.0-3.0) and policy implications (PR=2.5, 95%CI 1.5-4.0). CONCLUSION SRs should discuss the policy and practice implications of their findings to maximise the influence of SRs on policy making. It is recommended that SR guidelines are updated to include generalisability and discussion of policy and practice implications as a requirement.
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Affiliation(s)
- James Kite
- Prevention Research Collaboration, School of Public Health, University of Sydney, NSW, Australia.
| | - Devon Indig
- Prevention Research Collaboration, School of Public Health, University of Sydney, NSW, Australia.
| | - Seema Mihrshahi
- Prevention Research Collaboration, School of Public Health, University of Sydney, NSW, Australia.
| | - Andrew Milat
- NSW Ministry of Health, 73 Miller St, North Sydney, NSW, Australia.
| | - Adrian Bauman
- Prevention Research Collaboration, School of Public Health, University of Sydney, NSW, Australia.
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Wolfenden L, Carruthers J, Wyse R, Yoong S. Translation of tobacco control programs in schools: findings from a rapid review of systematic reviews of implementation and dissemination interventions. Health Promot J Austr 2014; 25:136-8. [PMID: 24988137 DOI: 10.1071/he13089] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Accepted: 04/18/2014] [Indexed: 11/23/2022] Open
Abstract
ISSUE ADDRESSED School-based programs targeting the prevention of tobacco use are a key strategy for reducing the overall tobacco-related mortality and morbidity in the community. While substantial research investment has resulted in the identification of various effective tobacco prevention interventions in schools, this research investment will not result in public health benefits, unless effectively disseminated and implemented. This rapid review aimed to identify effective implementation or dissemination interventions, targeting the adoption of school-based tobacco prevention programs. METHODS A systematic search was conducted to identify published systematic reviews that examined the effectiveness of implementation and dissemination strategies for facilitating the adoption of tobacco policies or programs in schools from 1992 to 2012. RESULTS The search yielded 1028 results, with one relevant systematic review being identified. The review included two controlled studies examining the implementation and dissemination of tobacco prevention programs and guidelines. The two randomised trials examined the delivery of active face-to-face training to implement a school-based curriculum compared with video-delivered or mail-based training. Improvements in the implementation of the programs were reported for the face-to-face training arm in both trials. CONCLUSIONS Little rigorous evidence exists to guide the implementation and dissemination of tobacco prevention programs in schools. SO WHAT? Few systematic reviews exist to inform the implementation of evidence-based tobacco prevention programs in schools. In the absence of a strong evidence base, health care policymakers and practitioners may need to draw on setting-based frameworks or parallel evidence from other settings to design strategies to facilitate the adoption of tobacco prevention initiatives.
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Affiliation(s)
- L Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
| | - J Carruthers
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
| | - R Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
| | - S Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
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Wolfenden L, Nathan N, Williams CM, Delaney T, Reilly KL, Freund M, Gillham K, Sutherland R, Bell AC, Campbell L, Yoong S, Wyse R, Janssen LM, Preece S, Asmar M, Wiggers J. A randomised controlled trial of an intervention to increase the implementation of a healthy canteen policy in Australian primary schools: study protocol. Implement Sci 2014; 9:147. [PMID: 25300221 PMCID: PMC4197283 DOI: 10.1186/s13012-014-0147-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 09/19/2014] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The implementation of healthy school canteen policies has been recommended as a strategy to help prevent unhealthy eating and excessive weight gain. Internationally, research suggests that schools often fail to implement practices consistent with healthy school canteen policies. Without a population wide implementation, the potential benefits of these policies will not be realised. The aim of this trial is to assess the effectiveness of an implementation intervention in increasing school canteen practices consistent with a healthy canteen policy of the New South Wales (NSW), Australia, government known as the 'Fresh Tastes @ School NSW Healthy School Canteen Strategy'. METHODS/DESIGN The parallel randomised trial will be conducted in 70 primary schools located in the Hunter region of New South Wales, Australia. Schools will be eligible to participate if they are not currently meeting key components of the healthy canteen policy. Schools will be randomly allocated after baseline data collection in a 1:1 ratio to either an intervention or control group using a computerised random number function in Microsoft Excel. Thirty-five schools will be selected to receive a multi-component intervention including implementation support from research staff, staff training, resources, recognition and incentives, consensus and leadership strategies, follow-up support and implementation feedback. The 35 schools allocated to the control group will not receive any intervention support as part of the research trial. The primary outcome measures will be i) the proportion of schools with a canteen menu that does not contain foods or beverages restricted from regular sale ('red' and 'banned' items) and ii) the proportion of schools where healthy canteen items ('green' items) represent the majority (>50%) of products listed on the menu. Outcome data will be collected via a comprehensive menu audit, conducted by dietitians blind to group allocation. Intervention effectiveness will be assessed using logistic regression models adjusting for baseline values. DISCUSSION The proposed trial will represent a novel contribution to the literature, being the first randomised trial internationally to examine the effectiveness of an intervention to facilitate implementation of a healthy canteen policy. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12613000311752.
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Affiliation(s)
- Luke Wolfenden
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Nicole Nathan
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Christopher M Williams
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
- />The George Institute for Global Health, Sydney, NSW Australia
| | - Tessa Delaney
- />Hunter New England Population Health, Newcastle, NSW Australia
| | - Kathryn L Reilly
- />Hunter New England Population Health, Newcastle, NSW Australia
| | - Megan Freund
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Karen Gillham
- />Hunter New England Population Health, Newcastle, NSW Australia
| | - Rachel Sutherland
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Andrew C Bell
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
| | - Libby Campbell
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Serene Yoong
- />Hunter New England Population Health, Newcastle, NSW Australia
| | - Rebecca Wyse
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Lisa M Janssen
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
| | - Sarah Preece
- />Hunter New England Population Health, Newcastle, NSW Australia
| | - Melanie Asmar
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
| | - John Wiggers
- />The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW Australia
- />Hunter New England Population Health, Newcastle, NSW Australia
- />Hunter Medical Research Institute, Newcastle, NSW Australia
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Wolfenden L, Wyse R, Nichols M, Allender S, Millar L, McElduff P. A systematic review and meta-analysis of whole of community interventions to prevent excessive population weight gain. Prev Med 2014; 62:193-200. [PMID: 24518005 DOI: 10.1016/j.ypmed.2014.01.031] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2013] [Revised: 01/26/2014] [Accepted: 01/31/2014] [Indexed: 10/25/2022]
Abstract
Population-based, 'whole of community' interventions utilise community engagement processes and implement multiple strategies to improve the health of populations defined by geographical boundaries (i.e. cities, villages or regions). The aim of the review was to systematically assess the current state of knowledge about the effectiveness of population-based whole of community interventions in preventing excessive population weight gain. Systematic searches of electronic databases (1990-2011) and reference lists of included trials and previous reviews were conducted to identify interventions to prevent excessive weight gain. Population-based, whole of community interventions were defined as those targeting the weight status of a population characterised along geographical boundaries. The review included eight trials. All of the identified trials targeted children or adolescents. Seven trials reported a significant effect favouring the intervention on at least one measure of adiposity. Meta-analysis of six trials revealed a small reduction in BMI z-score among participants in intervention communities (mean difference (MD) -0.09; 95% confidence interval (CI) -0.16 to -0.02). The review suggests that population-based, whole of community interventions can be effective in achieving modest reductions in population weight gain among children.
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Affiliation(s)
- Luke Wolfenden
- The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW, Australia.
| | - Rebecca Wyse
- The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW, Australia
| | - Melanie Nichols
- Deakin University, WHO Collaborating Centre for Obesity Prevention, Faculty of Health, Geelong, VIC, Australia
| | - Steven Allender
- Deakin University, WHO Collaborating Centre for Obesity Prevention, Faculty of Health, Geelong, VIC, Australia
| | - Lynne Millar
- Deakin University, WHO Collaborating Centre for Obesity Prevention, Faculty of Health, Geelong, VIC, Australia
| | - Patrick McElduff
- The University of Newcastle, Faculty of Health, School of Medicine and Public Health, Newcastle, NSW, Australia
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Wolfenden L, Wiggers J. Strengthening the rigour of population-wide, community-based obesity prevention evaluations. Public Health Nutr 2014; 17:407-21. [PMID: 23157970 PMCID: PMC10282234 DOI: 10.1017/s1368980012004958] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2012] [Revised: 07/23/2012] [Accepted: 09/10/2012] [Indexed: 10/27/2022]
Abstract
OBJECTIVE The aim of the present study was to review the methodological literature regarding evaluation methods for complex public health interventions broadly and, based on such methods, to critically reflect on the evaluation of contemporary community-based obesity prevention programmes. DESIGN A systematic review of the methods and community-based literature was performed by one reviewer. RESULTS The review identified that there is considerable scope to improve the rigour of community-based obesity prevention programmes through: prospective trial registration; the use of more rigorous research designs, particularly where routine databases including an objective measure of adiposity are available; implementing strategies to quantify and reduce the risk of selective non-participation bias; the development and use of validated instruments to assess intervention impacts; reporting of intervention process and context information; and more comprehensive analyses of trial outcomes. CONCLUSIONS To maximise the quality and utility of community-based obesity prevention evaluations, programme implementers and evaluators need to carefully examine the strengths and pitfalls of evaluation decisions and seek to maximise evaluation rigour in the context of political, resource and practical constraints.
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Affiliation(s)
- Luke Wolfenden
- School of Medicine and Public Health, Faculty of Health, The University of Newcastle, Newcastle, New South Wales, Australia
| | - John Wiggers
- School of Medicine and Public Health, Faculty of Health, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter New England Population Health, Newcastle, New South Wales, Australia
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Abstract
BACKGROUND A 2005 Institute of Medicine report argues that "prevention of obesity in children and youth is, ultimately, about community," yet the literature lacks empirical research on what communities are doing to prevent childhood obesity. This research helps fill this gap and highlights promising practices. CASES This research entailed exploratory analysis of three descriptive case studies of community efforts to prevent childhood obesity in the northeastern United States: Shape Up Somerville in Massachusetts, MA (urban), Whole Community Project in New York, NY (semiurban), and Eat Well Play Hard Chemung in NY (semirural). Data included stakeholder interviews (n=23), participant observation (n ≥ 7 events and meetings/case), and document analysis (n≈100/case) from project inceptions until March, 2010. Meeting participation was tracked. Data were coded for actions and strategies. Actions were mapped to an adapted version of the ANalysis Grid for Environments Linked to Obesity (ANGELO) framework. DISCUSSION These three projects were successful in changing physical environments for food and activity through program and event offerings. The projects were less active in generating policy and economic change. The scale and scope of actions related to project longevity. Demographics of key project stakeholders may have hinged on individual and institutional identities of project facilitators and on intentionality of inclusion strategies. CONCLUSION Such projects could likely generate greater scope and scale of environmental changes to prevent childhood obesity if funding agencies provided long-term financial support and technical assistance, even if at lower levels. Diversity of participation would also benefit from stable support and from dispersal of decision-making powers, including through distributed funding.
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Wolfenden L, Wyse RJ, Britton BI, Campbell KJ, Hodder RK, Stacey FG, McElduff P, James EL. Interventions for increasing fruit and vegetable consumption in children aged 5 years and under. Cochrane Database Syst Rev 2012; 11:CD008552. [PMID: 23152262 PMCID: PMC4160655 DOI: 10.1002/14651858.cd008552.pub2] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future chronic diseases including cardiovascular disease. OBJECTIVES To assess the effectiveness, cost-effectiveness and associated adverse events of interventions designed to increase the consumption of fruit and/or vegetables amongst children aged five years and under. SEARCH METHODS The Cochrane Central Register of Controlled Trials (CENTRAL) in The Cochrane Library Issue 2, 2010, MEDLINE (1950 to 2010 April week 4), EMBASE (1947 to 2010 week 18), CINAHL (up to 12 May 2010), PsycINFO (up to 12 May 2010) and Proquest Dissertations and Theses (up to February 2011) were searched to identify eligible trials, as well as electronic trial registers (also up to February 2011). The reference lists of included trials were reviewed and handsearches of three international nutrition journals were also performed. Authors of all included trials were contacted in order to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials (RCTs), including cluster-randomised controlled trials, of any intervention primarily targeting fruit and/or vegetable consumption among children aged five years and under and incorporating a biochemical or dietary assessment of fruit and/or vegetable consumption. Two review authors independently screened the titles and abstracts of identified papers. A third review author with expertise in review methodology resolved any disagreements regarding study eligibility. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risk of bias of the included studies. A third reviewer resolved disagreements between review authors. Fixed-effect models were used to perform meta-analysis for the primary review outcomes where a sufficient number of trials with suitable data and homogeneity were identified. MAIN RESULTS Five trials, with 13 trial arms and 3967 participants were included in the review. Two trials examined the impact of specific feeding practices (e.g. repeated food exposure) in increasing child intake of a target vegetable. Two trials assessed the effectiveness of home visiting programs implemented in disadvantaged communities and one trial investigated the effect of a preschool-based intervention in increasing child fruit and vegetable intake. Risk of bias of included studies was low although three of the five trials were judged to be at high risk of performance bias. Meta-analysis of two trials examining repeated food exposure versus a no intervention comparison found no significant difference in target vegetable consumption in the short term (mean difference (MD) 1.37, 95% confidence interval (CI) -2.78 to 5.52). Coupling repeated food exposure with a tangible non-food or social reward, was effective in increasing targeted vegetable consumption in the short term based on one trial. Home visiting programs provided to disadvantaged groups did not significantly increase overall fruit intake in the short term (standardised mean difference (SMD) 0.01, 95% CI -0.09 to 0.11). Similarly, a multi-component preschool-based intervention failed to significantly increase child consumption of vegetables, but did report a small significant increase in mean child consumption of fruit, six months following baseline assessment. None of the trials investigated intervention cost-effectiveness or reported information regarding any adverse events or unintended adverse consequences of the intervention. AUTHORS' CONCLUSIONS Despite the importance of encouraging fruit and vegetable consumption among children aged five years and under, this review identified few randomised controlled trials investigating interventions to achieve this.
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Affiliation(s)
- Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.
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Woodman J, Thomas J, Dickson K. How explicable are differences between reviews that appear to address a similar research question? A review of reviews of physical activity interventions. Syst Rev 2012; 1:37. [PMID: 22901701 PMCID: PMC3482390 DOI: 10.1186/2046-4053-1-37] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2012] [Accepted: 07/16/2012] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Systematic reviews are promoted as being important to inform decision-making. However, when presented with a set of reviews in a complex area, how easy is it to understand how and why they may differ from one another? METHODS An analysis of eight reviews reporting evidence on effectiveness of community interventions to promote physical activity. We assessed review quality and investigated overlap of included studies, citation of relevant reviews, consistency in reporting, and reasons why specific studies may be excluded. RESULTS There were 28 included studies. The majority (n = 22; 79%) were included only in one review. There was little cross-citation between reviews (n = 4/28 possible citations; 14%). Where studies appeared in multiple reviews, results were consistently reported except for complex studies with multiple publications. Review conclusions were similar. For most reviews (n = 6/8; 75%), we could explain why primary data were not included; this was usually due to the scope of the reviews. Most reviews tended to be narrow in focus, making it difficult to gain an understanding of the field as a whole. CONCLUSIONS In areas where evaluating impact is known to be difficult, review findings often relate to uncertainty of data and methodologies, rather than providing substantive findings for policy and practice. Systematic 'maps' of research can help identify where existing research is robust enough for multiple in-depth syntheses and also show where new reviews are needed. To ensure quality and fidelity, review authors should systematically search for all publications from complex studies. Other relevant reviews should be searched for and cited to facilitate knowledge-building.
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Affiliation(s)
- Jenny Woodman
- MRC Centre for Epidemiology of Child Health, UCL-Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
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Krishnaswami J, Martinson M, Wakimoto P, Anglemeyer A. Community-engaged interventions on diet, activity, and weight outcomes in U.S. schools: a systematic review. Am J Prev Med 2012; 43:81-91. [PMID: 22704752 DOI: 10.1016/j.amepre.2012.02.031] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2011] [Revised: 01/17/2012] [Accepted: 02/29/2012] [Indexed: 10/28/2022]
Abstract
CONTEXT Community engagement literature suggests that capacity-building approaches and community partnership in health intervention design, delivery, and analysis improve outcomes. School communities influence childhood diet and activity patterns affecting lifelong obesity risk. This systematic review's purpose is to assess whether incorporating community engagement principles in school-based interventions influences weight-related outcomes. EVIDENCE ACQUISITION Obesity-prevention interventions (published January 2000-2011) in diverse U.S. schools, meeting a minimum threshold of community engagement and targeting weight-, diet- or activity-related outcomes were identified in MEDLINE, PsycINFO, and CINAHL (December 2010-March 2011). Two reviewers scored community engagement performance on 24 metrics of capacity building and partner involvement along four research stages. Outcome performance was calculated as percentage of targeted primary and/or secondary outcomes achieved. EVIDENCE SYNTHESIS Sixteen studies were included, targeting anthropometric (n = 12); dietary (n = 13); and activity (n = 10) outcomes in schoolchildren (mean age=10.7 years). Studies averaged 46% of targeted outcomes (95% CI = 0.33, 0.60) and met 60% of community engagement metrics. Positive correlations existed between community engagement performance and all-outcome performance (r = 0.66, 95% CI = 0.25, 0.87) and secondary-outcome performance (r = 0.67, 95% CI = 0.22, 0.89), but not primary-outcome performance (r = 0.26, 95% CI = -0.27, 0.67). Number of outcomes met was not correlated with number of outcomes targeted, number of partners, or study size. Specific qualitative and quantitative trends suggested that capacity-building efforts, engagement in needs assessments and results dissemination, and durable partnerships positively influence outcomes. CONCLUSIONS Results suggest that meaningful partnership of diverse school communities within obesity prevention interventions can improve health outcomes.
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Affiliation(s)
- Janani Krishnaswami
- Department of Preventive Medicine, University of California San Francisco, San Francisco, California, USA.
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Chen LP, Ziegenfuss JY, Jenkins SM, Beebe TJ, Ytterberg KL. Pediatric obesity and self-reported health behavior information. Clin Pediatr (Phila) 2011; 50:872-5. [PMID: 21357199 DOI: 10.1177/0009922810397335] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Laura P Chen
- Mayo Clinic College of Medicine, Rochester, MN, USA.
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Walls HL, Peeters A, Proietto J, McNeil JJ. Public health campaigns and obesity - a critique. BMC Public Health 2011; 11:136. [PMID: 21352562 PMCID: PMC3056747 DOI: 10.1186/1471-2458-11-136] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2010] [Accepted: 02/27/2011] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Controlling obesity has become one of the highest priorities for public health practitioners in developed countries. In the absence of safe, effective and widely accessible high-risk approaches (e.g. drugs and surgery) attention has focussed on community-based approaches and social marketing campaigns as the most appropriate form of intervention. However there is limited evidence in support of substantial effectiveness of such interventions. DISCUSSION To date there is little evidence that community-based interventions and social marketing campaigns specifically targeting obesity provide substantial or lasting benefit. Concerns have been raised about potential negative effects created by a focus of these interventions on body shape and size, and of the associated media targeting of obesity. SUMMARY A more appropriate strategy would be to enact high-level policy and legislative changes to alter the obesogenic environments in which we live by providing incentives for healthy eating and increased levels of physical activity. Research is also needed to improve treatments available for individuals already obese.
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Affiliation(s)
- Helen L Walls
- Department of Epidemiology & Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria 3004, Australia
| | - Anna Peeters
- Department of Epidemiology & Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria 3004, Australia
| | - Joseph Proietto
- Repatriation Hospital, The Department of Medicine at Austine Hospital, Heidelberg, Victoria 3084, Australia
| | - John J McNeil
- Department of Epidemiology & Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria 3004, Australia
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