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Vorage L, Vincze L, Tudehope L, Harris N. Effectiveness of Interventions Promoting Dietary Intake, Physical Activity, and Healthy Weight Status of Children in Family Child Care: A Systematic Review. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2024; 56:242-255. [PMID: 38340129 DOI: 10.1016/j.jneb.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 02/12/2024]
Abstract
INTRODUCTION This systematic review examines the effectiveness of interventions in family child care (FCC) on (1) children's dietary intake, physical activity levels and weight, and (2) FCC health-promoting environments, policies, and practices. Quasi-experimental studies measuring these outcomes were included. METHODS All available articles up to July 2023 were searched using MEDLINE, ERIC, CINAHL, Embase, Scopus, and A+ Education, and 15 interventions were included. Methodological quality was assessed with the Effective Public Health Practice Project Assessment tool. RESULTS Thirteen studies were weak, and 2 strong in quality. Four interventions included children's dietary intake as an outcome measure, 2 included physical activity, and 3 weight status. Twelve interventions assessed nutrition and 7 physical activity environmental outcomes. DISCUSSION Interventions in FCC improved children's dietary intake, but their impact on physical activity and weight status was inconclusive. Furthermore, positive impacts were observed in environmental outcomes related to nutrition, whereas research on physical activity environmental outcomes was limited. IMPLICATIONS FOR RESEARCH AND PRACTICE Future research could replicate interventions to validate effectiveness and understand positive outcome mechanisms. Future interventions might use FCC stakeholders' input, incorporate innovative physical activity components, enhance FCC providers' position as role models, involve parents, and target those groups that are at a high risk of being obese.
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Affiliation(s)
- Lieke Vorage
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.
| | - Lisa Vincze
- School of Health Sciences and Social Work, Griffith University, Gold Coast, Queensland, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| | - Lucy Tudehope
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Neil Harris
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
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Hasnin S, Dev DA, Pitts SJ. Evidence for Criterion-Related Validity of Pressure-Mediated Reflection Spectroscopy for Approximating Fruit and Vegetable Consumption among Preschool Children. J Nutr 2024; 154:261-270. [PMID: 38008362 DOI: 10.1016/j.tjnut.2023.11.022] [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: 09/07/2023] [Revised: 11/03/2023] [Accepted: 11/22/2023] [Indexed: 11/28/2023] Open
Abstract
BACKGROUND Skin carotenoids are a valid biomarker for approximating fruit and vegetable consumption (FVC). Veggie Meter® (VM®, Longevity Link Corp.) is a pressure-mediated reflection spectroscopy (RS)-based device that allows for noninvasive and rapid assessment of skin-carotenoid score (SCS) in adults and children. Although VM® is established as a valid tool to measure FVC in adults, there is limited research supporting the validity evidence of the VM® to approximate FVC among preschool children. OBJECTIVE The current study aims to assess evidence supporting the criterion-related validity of RS-based SCS for approximating FVC among preschool children (3-5-y old). METHODS We collected cross-sectional data from typically developing preschool children (n = 136) attending the Child and Adult Care Food Program-participating family child care home settings (FCCHs) (n = 46) in Nebraska. Research team members collected children's height and weight to calculate body mass index; and measured children's SCS using the VM®. Children's FVC in FCCHs were collected using dietary observation. In addition, parents (n = 89) completed a shortened food frequency questionnaire to report children's FVC at home. Kendall's Tau (τ) correlation tests were conducted to measure the association between children's SCS with FVC in FCCHs and with parent-reported total fruit and vegetable (FV) frequency scores. RESULTS Children's SCS were significantly correlated with their mean FVC in FCCHs, τ = 0.14 (P = 0.02), total provitamin A carotenoids intake in FCCHs, τ = 0.19 (P < 0.001), and with parent-reported total FV frequency score, τ = 0.16 (P = 0.04). CONCLUSION The correlation coefficients in this study are comparable with results from a meta-analysis examining associations between FVC and SCS in 7-10-y-old children (r = 0.20). Thus, evidence suggests that RS offers a potentially valid, objective, and feasible method to assess preschool children's total FVC in multiple settings, especially in conjunction with other dietary assessment tools.
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Affiliation(s)
- Saima Hasnin
- Department of Child, Youth and Family Studies, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Dipti A Dev
- Department of Child, Youth and Family Studies, University of Nebraska-Lincoln, Lincoln, NE, United States.
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Chan J, Conroy P, Phongsavan P, Raubenheimer D, Allman-Farinelli M. Systems map of interventions to improve dietary intake of pre-school aged children: A scoping review. Prev Med 2023; 177:107727. [PMID: 37848165 DOI: 10.1016/j.ypmed.2023.107727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023]
Abstract
Implementation and sustaining impact of early childhood nutrition interventions in practice remains a challenge. An understanding of the extent to which determinants across multiple levels of the food system are being addressed may improve success. This literature review aimed to synthesise the evidence on interventions targeting dietary intake and eating behaviours in preschool children using a systems approach. Eligible studies included intervention studies targeting the dietary intake of preschool children aged 2-5 years in high income countries, published in English after January 2000. Interventions were categorised to the Determinants of Nutrition and Eating (DONE) framework for children developed and evaluated by experts across multiple fields. The framework maps and ranks 411 factors driving eating behaviours and nutrition and can be used to systematically summarise determinants. DONE ranks each determinant for its perceived research priority. A total of 160 eligible studies were identified. Most interventions targeted interpersonal (n = 101, 63.1%) and individual (n = 85, 53.1%) level determinants, with fewer targeting environmental (n = 55, 34.4%) and policy level (n = 17, 10.6%) determinants. The most frequently addressed determinants were Parental Resources and Risk Factors (n = 85) and Children's Food Knowledge, Skills and Abilities (n = 67). These determinants had a Moderate research priority rating. Home Food Availability and Accessibility at the environmental level is classified as the highest research priority, however, only 15 of 160 interventions addressed this determinant. This review highlights home food availability and accessibility as potential leverage points for future interventions to improve children's dietary intake and eating behaviours.
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Affiliation(s)
- Jacqueline Chan
- Nutrition and Dietetics Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
| | - Patrick Conroy
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Philayrath Phongsavan
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Margaret Allman-Farinelli
- Nutrition and Dietetics Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
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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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Jiang Q, Risica PM, Tovar A, Cooksey Stowers K, Schwartz MB, Lombardi C, Gans KM. Mediation of the association between social environmental characteristics of family childcare home and weight status in children by diet quality. BMC Public Health 2023; 23:2301. [PMID: 37990180 PMCID: PMC10664465 DOI: 10.1186/s12889-023-17179-1] [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: 07/07/2023] [Accepted: 11/07/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND The food and beverages served in family childcare homes (FCCHs) may play an important role in the development of childhood overweight and obesity. This analysis examines whether children's diet quality mediates the relationship between foods and beverages served in FCCHs and preschool-aged children's weight status. METHODS Trained and certified staff conducted observations for two days in each FCCH, using the Environment and Policy Assessment and Observation (EPAO) measure to determine the foods and beverages served to children (N = 370) in FCCHs (N = 120). They also used the Dietary Observation in Child Care (DOCC) protocol to assess children's food and beverage intake during childcare, from which we calculated the Healthy Eating Index-2015 (HEI), a measure of diet quality. Height and weight were measured for each child with parent consent from which the child's body mass index (BMI) z-scores were calculated. A multilevel mediation analysis was conducted to indicate whether children's diet quality mediates the relations between food and beverage served in FCCHs and preschool-aged children's weight status. RESULTS Children's total HEI scores significantly mediated the relationship between the EPAO subscale Food Provided and children's BMI z-scores (B=-0.01, p < .05, 95% CI = [-0.03, - 0.002]). Further, the EPAO subscale Food Provided was positively associated with the total HEI score (B = 0.75, p < .01, 95% CI = [0.32, 1.18]). Total HEI scores were negatively associated with BMI z-score (B=-0.01, p < .05, 95% CI = [-0.02, - 0.001]). CONCLUSION Children's diet quality did significantly mediate the relationship between the food served in FCCHs and children's weight status. More longitudinal studies with longer follow-up periods need to be conducted to confirm these relationships. Further, future studies need to examine the relationships between a broader spectrum of FCCH environmental characteristics and home environment with children's weight status, as well as other mediators including physical activity.
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Affiliation(s)
- Qianxia Jiang
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA.
| | - Patricia Markham Risica
- Department of Behavioral and Social Health Sciences, School of Public Health, Brown University, Providence, RI, USA
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI, USA
| | - Alison Tovar
- Department of Behavioral and Social Health Sciences, School of Public Health, Brown University, Providence, RI, USA
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI, USA
| | | | - Marlene B Schwartz
- Department of Human Development and Family Sciences, University of Connecticut, Storrs, CT, USA
- Rudd Center for Food Policy and Health, University of Connecticut, Hartford, CT, USA
| | - Caitlin Lombardi
- Department of Human Development and Family Sciences, University of Connecticut, Storrs, CT, USA
| | - Kim M Gans
- Department of Behavioral and Social Health Sciences, School of Public Health, Brown University, Providence, RI, USA
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI, USA
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA
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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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Neshteruk C, Burkart S, Flanagan EW, Melnick E, Luecking C, Kracht CL. Policy, systems, and environmental interventions addressing physical activity in early childhood education settings: A systematic review. Prev Med 2023; 173:107606. [PMID: 37414226 PMCID: PMC10699121 DOI: 10.1016/j.ypmed.2023.107606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 05/30/2023] [Accepted: 07/02/2023] [Indexed: 07/08/2023]
Abstract
Policy, systems, and environmental (PSE) approaches can facilitate physical activity in priority populations (e.g., racial and ethnic minority, low wealth groups) within early childhood education (ECE) settings. The purpose of this review was to 1) characterize the inclusion of priority populations within ECE physical activity interventions containing PSE approaches and 2) identify and describe interventions within these populations. Seven databases were systematically searched (January 2000-Febrary 2022) for ECE-based interventions focusing on children (0-6 years) that utilized at least one PSE approach. Eligible studies included a child physical activity or physical activity environment outcome and child or center-level population characteristics. Forty-four studies, representing 42 interventions were identified. For Aim 1, half of interventions included one PSE approach (21/42), with only 11/42 including three or more approaches. Physical environment changes [e.g., adding play equipment, modifying space (25/42)] were the most used PSE approaches followed by system [e.g., integrating activity into routines, (21/42)] and policy [e.g., outdoor time (20/42)] approaches. Nearly half of interventions were conducted in predominantly priority populations (18/42). Studies were primarily rated as good (51%) or fair (38%) methodological quality using the Downs and Black checklist. In Aim 2, of the 12 interventions assessing child physical activity in priority populations, 9/12 reported at least one physical activity outcome in the expected direction. Of the 11 interventions assessing the physical activity environment, 9/11 reported an effect in the expected direction. Findings indicate clear opportunities exist to target priority populations by incorporating PSE approaches in ECE physical activity interventions.
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Affiliation(s)
- Cody Neshteruk
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America.
| | - Sarah Burkart
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America
| | - Emily W Flanagan
- Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, United States of America
| | - Emily Melnick
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Courtney Luecking
- Department of Dietetics and Human Nutrition, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, United States of America
| | - Chelsea L Kracht
- Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, United States of America
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9
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Jiang Q, Risica PM, Tovar A, Cooksey Stowers K, Schwartz MB, Lombardi C, Gans K. Nutrition Practices of Family Child Care Home Providers and Children's Diet Quality. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2023; 55:480-492. [PMID: 37245146 PMCID: PMC10426435 DOI: 10.1016/j.jneb.2023.03.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 05/29/2023]
Abstract
OBJECTIVE To examine the relationship between the diet quality of children aged 2-5 years cared for in family child care homes (FCCHs) with provider adherence to nutrition best practices. DESIGN Cross-sectional analysis. PARTICIPANTS Family child care home providers (n = 120, 100% female, 67.5% Latinx) and children (n = 370, 51% female, 58% Latinx) enrolled in a cluster-randomized trial. MAIN OUTCOME MEASURES Data were collected over 2 days at each FCCH. The Environment and Policy Assessment and Observation tool was used to document whether providers exhibited nutrition practices on the basis of the Nutrition and Physical Activity Self-Assessment for Child Care. Each practice was scored as either present or absent. Children's food intake was observed using Diet Observation at Child Care and analyzed with the Healthy Eating Index-2015. ANALYSIS Multilevel linear regression models assessed the association between providers exhibiting best practices regarding nutrition and children's diet quality. The model accounted for clustering by FCCH and controlled for provider ethnicity, income level, and multiple comparisons. RESULTS Children in FCCHs in which more of the best practices were implemented had higher diet quality (B = 1.05; 95% confidence interval [CI], 0.12-1.99; P = 0.03). Specifically, children whose providers promoted autonomous feeding (B = 27.52; 95% CI, 21.02-34.02; P < 0.001) and provided nutrition education (B = 7.76; 95% CI, 3.29-12.23; P = 0.001) had higher total Healthy Eating Index scores. CONCLUSIONS AND IMPLICATIONS Future interventions and policies could support FCCH providers in implementing important practices such as autonomy feeding practices, talking informally to children about nutrition, and providing healthful foods and beverages.
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Affiliation(s)
- Qianxia Jiang
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, Kansas City, MO.
| | - Patricia Markham Risica
- Department of Behavioral and Social Health Sciences, School of Public Health, Brown University, Providence, RI; Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI
| | - Alison Tovar
- Department of Behavioral and Social Health Sciences, School of Public Health, Brown University, Providence, RI; Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI
| | | | - Marlene B Schwartz
- Department of Human Development and Family Sciences, University of Connecticut, Storrs, CT; Rudd Center for Food Policy and Health, University of Connecticut, Hartford, CT
| | - Caitlin Lombardi
- Department of Human Development and Family Sciences, University of Connecticut, Storrs, CT
| | - Kim Gans
- Department of Behavioral and Social Health Sciences, School of Public Health, Brown University, Providence, RI; Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI; Department of Allied Health Sciences, University of Connecticut, Storrs, CT
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10
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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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11
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Risica PM, Karpowicz JM, von Ash T, Gans KM, Stowers KC, Tovar A. Feeding and Activity Environments for Infants and Toddlers in Childcare Centers and Family Childcare Homes in Southeastern New England. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159702. [PMID: 35955058 PMCID: PMC9367851 DOI: 10.3390/ijerph19159702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/30/2022] [Accepted: 08/03/2022] [Indexed: 06/01/2023]
Abstract
Few studies have documented the food and physical activity (PA) environments of childcare settings caring for children <24 months of age, although they may be key contributors to developing child PA and diet patterns. We used an adapted Environment and Policy Assessment and Observation tool to assess the food and activity environments for infants and toddlers in childcare centers (n = 21) and family childcare homes (FCCH) (n = 20) and explored differences by childcare type. Many similarities were found between childcare site types; however, centers used more recommended feeding practices than FCCH (e.g., 100% of center providers talked with toddlers about feelings of hunger or fullness compared to 18% of family childcare providers (FCCP), p < 0.01). Differences in non-recommended feeding practices (e.g., spoon feeding, bottle propping and encouraging unhealthy foods) were mixed between childcare types. Toddlers in centers spent more time playing at higher PA levels than those in FCCH (61 vs. 13 min, p < 0.001). Screen time was observed in FCCH, but not in centers. Differences between childcare types may indicate differential influences on infant and toddler feeding and PA behaviors, which could predict disparate obesity risk. Future research should further observe these behaviors in a larger sample of centers and FCCH to inform childcare interventions and policies.
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Affiliation(s)
- Patricia Markham Risica
- Brown University School of Public Health, Providence, RI 02912, USA
- Center for Health Promotion and Health Equity, Brown University School of Public Health, Providence, RI 02912, USA
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI 02912, USA
| | | | - Tayla von Ash
- Brown University School of Public Health, Providence, RI 02912, USA
- Center for Health Promotion and Health Equity, Brown University School of Public Health, Providence, RI 02912, USA
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI 02912, USA
| | - Kim M. Gans
- Brown University School of Public Health, Providence, RI 02912, USA
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI 02912, USA
- Department of Human Development and Family Sciences, University of Connecticut, Storrs, CT 06269, USA
- Institute for Collaboration in Health, Interventions and Policy, University of Connecticut, Storrs, CT 06269, USA
| | - Kristen Cooksey Stowers
- Institute for Collaboration in Health, Interventions and Policy, University of Connecticut, Storrs, CT 06269, USA
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT 06269, USA
- Rudd Center for Food Policy and Health, University of Connecticut, Hartford, CT 06103, USA
| | - Alison Tovar
- Brown University School of Public Health, Providence, RI 02912, USA
- Center for Health Promotion and Health Equity, Brown University School of Public Health, Providence, RI 02912, USA
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI 02912, USA
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