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Michalopoulou S, Sifaki M, Packer J, Lanigan J, Stansfield C, Viner RM, Russell S. Assessing the impact of obesity interventions in the early years: a systematic review of UK-based studies. BMJ Open 2024; 14:e076479. [PMID: 38740507 PMCID: PMC11097867 DOI: 10.1136/bmjopen-2023-076479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 02/13/2024] [Indexed: 05/16/2024] Open
Abstract
OBJECTIVES Childhood obesity rates in the UK are high. The early years of childhood are critical for establishing healthy behaviours and offer interventional opportunities. We aimed to identify studies evaluating the impact of UK-based obesity interventions in early childhood. DESIGN Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES Nine databases were searched in March 2023. ELIGIBILITY CRITERIA We included UK-based obesity intervention studies delivered to children aged 6 months to 5 years that had diet and/or physical activity components and reported anthropometric outcomes. The primary outcome of interest was z-score Body Mass Index (zBMI) change (within and between subjects). Studies evaluating the effects of breastfeeding interventions were not included as obesity prevention interventions, given that best-practice formula feeding is also likely to encourage healthy growth. The publication date for studies was limited to the previous 12 years (2011-23), as earlier reviews found few evaluations of interventions in the UK. DATA EXTRACTION AND SYNTHESIS The reviewers worked independently using standardised approach to search, screen and code the included studies. Risk of bias was assessed using Cochrane tools (ROB 2 or ROBINS-I). RESULTS Six trials (five studies) were identified, including two randomised controlled trials (RCT), one cluster randomised trial (CRT), two feasibility CRTs and one impact assessment. The total number of participants was 566. Three trials focused on disadvantaged families and two included high-risk children categorised as having overweight or obesity. Compared with baseline, five interventions reported reductions in zBMI, three of which were statistically significant (p<0.05). Compared with control, five interventions showed zBMI reductions, one of which was significant. Only two trials were followed up beyond 12 months. All studies were found to have a high risk of bias. Meta-analysis was not possible due to the heterogeneity of studies. CONCLUSION UK evidence was limited but some interventions showed promising results in promoting healthy growth. As part of a programme of policies, interventions in the early years may have an important role in reducing the risk of childhood obesity. PROSPERO REGISTRATION NUMBER CRD42021290676.
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Affiliation(s)
- Semina Michalopoulou
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Maria Sifaki
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Jessica Packer
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Julie Lanigan
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | | | - Russell M Viner
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Simon Russell
- Great Ormond Street Institute of Child Health, University College London, London, UK
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Grady A, Jackson J, Wolfenden L, Lum M, Yoong SL. Assessing the scalability of healthy eating interventions within the early childhood education and care setting: secondary analysis of a Cochrane systematic review. Public Health Nutr 2023; 26:3211-3229. [PMID: 37990443 PMCID: PMC10755435 DOI: 10.1017/s1368980023002550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 10/05/2023] [Accepted: 11/13/2023] [Indexed: 11/23/2023]
Abstract
OBJECTIVE Early childhood education and care (ECEC) is a recommended setting for the delivery of health eating interventions 'at scale' (i.e. to large numbers of childcare services) to improve child public health nutrition. Appraisal of the 'scalability' (suitability for delivery at scale) of interventions is recommended to guide public health decision-making. This study describes the extent to which factors required to assess scalability are reported among ECEC-based healthy eating interventions. DESIGN Studies from a recent Cochrane systematic review assessing the effectiveness of healthy eating interventions delivered in ECEC for improving child dietary intake were included. The reporting of factors of scalability was assessed against domains outlined within the Intervention Scalability Assessment Tool (ISAT). The tool recommends decision makers consider the problem, the intervention, strategic and political context, effectiveness, costs, fidelity and adaptation, reach and acceptability, delivery setting and workforce, implementation infrastructure and sustainability. Data were extracted by one reviewer and checked by a second reviewer. SETTING ECEC. PARTICIPANTS Children 6 months to 6 years. RESULTS Of thirty-eight included studies, none reported all factors within the ISAT. All studies reported the problem, the intervention, effectiveness and the delivery workforce and setting. The lowest reported domains were intervention costs (13 % of studies) and sustainability (16 % of studies). CONCLUSIONS Findings indicate there is a lack of reporting of some key factors of scalability for ECEC-based healthy eating interventions. Future studies should measure and report such factors to support policy and practice decision makers when selecting interventions to be scaled-up.
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Affiliation(s)
- Alice Grady
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
| | - Jacklyn Jackson
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
| | - Melanie Lum
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Victoria, Australia
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Lum M, Yoong SL, Wolfenden L, Turon H, Reilly K, Grady A. Impact of a dissemination strategy on family day care educators' intentions to adopt outdoor free play guidelines introduced in response to COVID-19: a randomized controlled trial. HEALTH EDUCATION RESEARCH 2023; 38:458-468. [PMID: 36943373 PMCID: PMC10516333 DOI: 10.1093/her/cyad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
In 2021, guidelines for early childhood education and care were released recommending children are provided access to outdoor areas during all free play sessions to reduce the risk of coronavirus disease of 2019 transmission, aligning with the existing recommendations to increase children's physical activity. There is a need to understand how to disseminate guidelines in this setting as dissemination is a prerequisite of adoption and implementation. This randomized controlled trial explored the impact of a video-based strategy to disseminate guidelines on family day care educators' intentions to adopt outdoor free play guidelines. Educators (N = 255) were randomized to receive a video (intervention) or text-based (usual care) resource via email describing recommendations. Educators were invited to participate in a post-intervention survey at 5-week follow-up assessing intentions to adopt guidelines. The secondary outcomes included knowledge, beliefs about capabilities, beliefs about consequences, social/professional role and identity, goals, implementation of guidelines, acceptability of resource and intervention reach. There was no statistically significant difference between groups in intentions to adopt guidelines [ß = 0.01 (95% confidence interval -0.50 to 0.52), P = 0.97], nor for any secondary outcomes. Further investigation is needed to identify effective dissemination strategies in the family day care setting to increase the adoption of public health guidelines.
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Affiliation(s)
- M Lum
- Hunter New England Population Health, Hunter New England Local Health District, Booth Building, Longworth Ave, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, University of Newcastle, Lot 1 Kookaburra Cct, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
| | - S L Yoong
- Hunter New England Population Health, Hunter New England Local Health District, Booth Building, Longworth Ave, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, University of Newcastle, Lot 1 Kookaburra Cct, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Global Centre for Preventive Nutrition and Health, Institute for Health Transformation, School of Health and Social Development, Deakin University, 221 Burwood Highway, Burwood, VIC 3125, Australia
| | - L Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Booth Building, Longworth Ave, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, University of Newcastle, Lot 1 Kookaburra Cct, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
| | - H Turon
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, University of Newcastle, Lot 1 Kookaburra Cct, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
| | - K Reilly
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, University of Newcastle, Lot 1 Kookaburra Cct, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
| | - A Grady
- Hunter New England Population Health, Hunter New England Local Health District, Booth Building, Longworth Ave, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, University of Newcastle, University Dr, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, University of Newcastle, Lot 1 Kookaburra Cct, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, University Dr, Callaghan, NSW 2308, 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, 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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Kipping R, Pallan M, Hannam K, Willis K, Dobell A, Metcalfe C, Jago R, Johnson L, Langford R, Martin CK, Hollingworth W, Cochrane M, White J, Blair P, Toumpakari Z, Taylor J, Ward D, Moore L, Reid T, Pardoe M, Wen L, Murphy M, Martin A, Chambers S, Simpson SA. Protocol to evaluate the effectiveness and cost-effectiveness of an environmental nutrition and physical activity intervention in nurseries (Nutrition and Physical Activity Self Assessment for Child Care - NAP SACC UK): a multicentre cluster randomised controlled trial. BMC Public Health 2023; 23:1475. [PMID: 37532982 PMCID: PMC10398919 DOI: 10.1186/s12889-023-16229-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 07/01/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND One in seven UK children have obesity when starting school, with higher prevalence associated with deprivation. Most pre-school children do not meet UK recommendations for physical activity and nutrition. Formal childcare settings provide opportunities to deliver interventions to improve nutritional quality and physical activity to the majority of 3-4-year-olds. The nutrition and physical activity self-assessment for childcare (NAP SACC) intervention has demonstrated effectiveness in the USA with high acceptability in the UK. The study aims to evaluate the effectiveness and cost-effectiveness of the NAP SACC UK intervention to increase physical activity, reduce sedentary time and improve nutritional intake. METHODS Multi-centre cluster RCT with process and economic evaluation. Participants are children aged 2 years or over, attending UK early years settings (nurseries) for ≥ 12 h/week or ≥ 15 h/week during term time and their parents, and staff at participating nurseries. The 12-month intervention involves nursery managers working with a Partner (public health practitioner) to self-assess policies and practices relating to physical activity and nutrition; nursery staff attending one physical activity and one nutrition training workshop and setting goals to be achieved within 6 months. The Partner provides support and reviews progress. Nursery staff receive a further workshop and new goals are set, with Partner support for a further 6 months. The comparator is usual practice. Up to 56 nurseries will be stratified by area and randomly allocated to intervention or comparator arm with minimisation of differences in level of deprivation. PRIMARY OUTCOMES accelerometer-assessed mean total activity time on nursery days and average total energy (kcal) intake per eating occasion of lunch and morning/afternoon snacks consumed within nurseries. SECONDARY OUTCOMES accelerometer-assessed mean daily minutes of moderate-to-vigorous physical activity and sedentary time per nursery day, total physical activity on nursery days compared to non-nursery days, average serving size of lunch and morning/afternoon snacks in nursery per day, average percentage of core and non-core food in lunch and morning/afternoon snacks, zBMI, proportion of children who are overweight/obese and child quality-of-life. A process evaluation will examine fidelity, acceptability, sustainability and context. An economic evaluation will compare costs and consequences from the perspective of the local government, nursery and parents. TRIAL REGISTRATION ISRCTN33134697, 31/10/2019.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jodi Taylor
- Bristol Trials Centre, University of Bristol, Bristol, UK
| | - Dianne Ward
- University of North Carolina, Chapel Hill, USA
| | - Laurence Moore
- MRC / CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Tom Reid
- University of Bristol, Bristol, UK
| | | | | | | | - Anne Martin
- MRC / CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Stephanie Chambers
- School of Social and Political Sciences and MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Sharon Anne Simpson
- MRC / CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK
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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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7
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Mahdi S, Buckland NJ, Chilcott J. Economic and health impacts of the Change4Life Food Scanner app: Findings from a randomized pilot and feasibility study. Front Nutr 2023; 10:1125542. [PMID: 37006945 PMCID: PMC10061026 DOI: 10.3389/fnut.2023.1125542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/28/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionThe UK Government developed the Change4Life Food Scanner app to provide families with engaging feedback on the nutritional content of packaged foods. There is a lack of research exploring the cost-effectiveness of dietary health promotion apps.MethodsThrough stakeholder engagement, a conceptual model was developed, outlining the pathway by which the Food Scanner app leads to proximal and distal outcomes. The conceptual model informed the development of a pilot randomized controlled trial which investigated the feasibility and acceptability of evaluating clinical outcomes in children and economic effectiveness of the Food Scanner app through a cost-consequence analysis. Parents of 4–11 years-olds (n = 126) were randomized into an app exposure condition (n = 62), or no intervention control (n = 64). Parent-reported Child Health Utility 9 Dimension (CHU9D) outcomes were collected alongside child healthcare resource use and associated costs, school absenteeism and parent productivity losses at baseline and 3 months follow up. Results for the CHU9D were converted into utility scores based on UK adult preference weights. Sensitivity analysis accounted for outliers and multiple imputation methods were adopted for the handling of missing data.Results64 participants (51%) completed the study (intervention: n = 29; control: n = 35). There was a mean reduction in quality adjusted life years between groups over the trial period of –0.004 (SD = 0.024, 95% CI: –0.005; 0.012). There was a mean reduction in healthcare costs of –£30.77 (SD = 230.97; 95% CI: –£113.80; £52.26) and a mean reduction in workplace productivity losses of –£64.24 (SD = 241.66, 95% CI: –£147.54; £19.07) within the intervention arm, compared to the control arm, over the data collection period. Similar findings were apparent after multiple imputation.DiscussionModest mean differences between study arms may have been due to the exploration of distal outcomes over a short follow-up period. The study was also disrupted due to the coronavirus pandemic, which may have confounded healthcare resource data. Although measures adopted were deemed feasible, the study highlighted difficulties in obtaining data on app development and maintenance costs, as well as the importance of economic modeling to predict long-term outcomes that may not be reliably captured over the short-term.Clinical trial registrationhttps://osf.io/, identifier 62hzt.
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Affiliation(s)
- Sundus Mahdi
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
- *Correspondence: Sundus Mahdi,
| | - Nicola J. Buckland
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
| | - Jim Chilcott
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
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El-Yousfi S, Marshman Z, Albers PN, Watt S, Kipping R, Williams JG. Health visiting teams and children's oral health: a scoping review. BMC Oral Health 2022; 22:594. [PMID: 36496377 PMCID: PMC9741786 DOI: 10.1186/s12903-022-02611-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Recent policies have recommended early-life interventions to prevent caries. The four nations of the UK each have a national universal children's health programme, through which health visitors and their wider team (HVTs) promote health in the early years. HVT visits offer an opportunity to support parents to improve their child's oral health. A scoping review was conducted to provide a descriptive synthesis of the current literature related to the role of HVTs in improving the oral health of children 0-5 years old and to identify significant gaps for future research. This review informed the feasibility study of the First Dental Steps Intervention, a targeted health visitor-led infant oral health intervention in England. METHODS Electronic database searches for peer-reviewed literature were performed using Medline via Ovid and Web of Science (1946-2021). The quality of included intervention studies was assessed using the Effective Public Health Practice Project tool. Additionally, a grey literature search was conducted (key organisations, bibliographic and thesis databases, forwards and backwards citation, Google). RESULTS Thirty-nine publications, published between 1980 and 2021, were included. The majority of included papers were from the UK. The quality of intervention studies (n = 7) ranged from weak to strong. Thematic analysis identified the following themes: (1) professional knowledge, education, and training; (2) involvement of HVs in the delivery of oral health interventions; (3) effectiveness of interventions; (4) perspectives of HVs providing oral health advice and acceptability; and (5) barriers and facilitators to promoting oral health. The grey literature search identified 125 sources. HVT involvement was reported in a variety of source types: reports, guidance documents, evaluations, reviews, and training resources. HVTs were involved in oral health by providing oral health packs, brushing and oral health advice, registration and attendance, oral health training, risk assessment, and referral to dental services. CONCLUSION The current literature suggests that HVTs are well placed to improve children's oral health. Facilitators and barriers are encountered by HVTs in promoting oral health which should be considered by commissioners. There is a need for future high-quality studies that address the inadequacies found and provide further evidence of the effectiveness of HVT's oral health interventions.
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Affiliation(s)
- Sarab El-Yousfi
- grid.11835.3e0000 0004 1936 9262School of Clinical Dentistry, University of Sheffield, Sheffield, UK
| | - Zoe Marshman
- grid.11835.3e0000 0004 1936 9262School of Clinical Dentistry, University of Sheffield, Sheffield, UK
| | - Patricia N. Albers
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Samantha Watt
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ruth Kipping
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Joanna G. Williams
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Traynor O, McCrorie P, Chng NR, Martin A. Evaluating Outdoor Nature-Based Early Learning and Childcare Provision for Children Aged 3 Years: Protocol of a Feasibility and Pilot Quasi-Experimental Design. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:7461. [PMID: 35742709 PMCID: PMC9224218 DOI: 10.3390/ijerph19127461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 02/04/2023]
Abstract
Systematic reviews have demonstrated the scarcity of well-designed evaluations investigating outdoor nature-based play and learning provision for children in the early learning and childcare (ELC) sector among global Western countries. This study will examine the feasibility and acceptability of the programme and the evaluation design of outdoor nature-based play and learning provision across urban ELC settings in a Scottish metropolitan city. Six ELC settings with different outdoor nature-based play delivery models will be recruited. One trial design will be tested: a quasi-experimental comparison of children attending three different models of outdoor play and learning provision. Measures will be assessed at baseline and five weeks later. Key feasibility questions include: recruitment and retention of ELC settings and children; suitability of statistical matching based on propensity score; completeness of outcome measures. Process evaluation will assess the acceptability of trial design methods and provision of outdoor nature-based play among ELC educators. These questions will be assessed against pre-defined progression criteria. This feasibility study will inform a powered effectiveness evaluation and support policy making and service delivery in the Scottish ELC sector.
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Affiliation(s)
- Oliver Traynor
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 99 Berkeley Street, Glasgow G3 7HR, UK; (P.M.); (N.R.C.); (A.M.)
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10
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Moore G, Campbell M, Copeland L, Craig P, Movsisyan A, Hoddinott P, Littlecott H, O'Cathain A, Pfadenhauer L, Rehfuess E, Segrott J, Hawe P, Kee F, Couturiaux D, Hallingberg B, Evans R. Adapting interventions to new contexts-the ADAPT guidance. BMJ 2021; 374:n1679. [PMID: 34344699 PMCID: PMC8329746 DOI: 10.1136/bmj.n1679] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 11/05/2022]
Affiliation(s)
- Graham Moore
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Mhairi Campbell
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Lauren Copeland
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Peter Craig
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Ani Movsisyan
- Pettenkofer School of Public Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
| | - Pat Hoddinott
- Nursing, Midwifery and Allied Health Professions Research Unit, University of Stirling, Stirling, UK
| | - Hannah Littlecott
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Alicia O'Cathain
- School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Lisa Pfadenhauer
- Pettenkofer School of Public Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
| | - Eva Rehfuess
- Pettenkofer School of Public Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
| | - Jeremy Segrott
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), Centre for Trials Research, Cardiff University, Cardiff, UK
| | - Penelope Hawe
- Menzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
- O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Frank Kee
- Centre for Public Health, Queens University Belfast, Belfast, UK
| | - Danielle Couturiaux
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
| | - Britt Hallingberg
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - Rhiannon Evans
- Centre for Development, Evaluation, Complexity and Implementation in Public Health improvement (DECIPHer), School of Social Sciences, Cardiff University, Cardiff, UK
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11
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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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