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Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes

Since food preferences develop during early childhood and contribute to dietary patterns that can track into adulthood, it is critical to support healthy food environments in places where children spend significant amounts of time in, such as childcare. It is important to understand what factors inf...

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Autores principales: Tovar, Alison, Risica, Patricia Markham, Ramirez, Andrea, Mena, Noereem, Lofgren, Ingrid E., Cooksey Stowers, Kristen, Gans, Kim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284878/
https://www.ncbi.nlm.nih.gov/pubmed/32403299
http://dx.doi.org/10.3390/nu12051368
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author Tovar, Alison
Risica, Patricia Markham
Ramirez, Andrea
Mena, Noereem
Lofgren, Ingrid E.
Cooksey Stowers, Kristen
Gans, Kim M.
author_facet Tovar, Alison
Risica, Patricia Markham
Ramirez, Andrea
Mena, Noereem
Lofgren, Ingrid E.
Cooksey Stowers, Kristen
Gans, Kim M.
author_sort Tovar, Alison
collection PubMed
description Since food preferences develop during early childhood and contribute to dietary patterns that can track into adulthood, it is critical to support healthy food environments in places where children spend significant amounts of time in, such as childcare. It is important to understand what factors influence the diet quality of children cared for in family childcare homes (FCCH). Methods: This study used baseline data from a cluster-randomized trial in FCCH, Healthy Start/Comienzos Sanos. Surveys capturing providers’ socio-demographic characteristics were completed. Food and beverage consumptions were estimated using the Dietary Observation in Childcare protocol, and diet quality was calculated using the Healthy Eating Index (HEI)-2015. Comparison of mean HEI scores by provider socio-demographic variables were completed using ANOVAs, followed by multiple linear regression models for significant variables. Post-hoc ANOVA models compared mean HEI-2015 sub-components by income and ethnicity. Results: Significant differences in mean HEI-2015 scores were found for provider income level (less than $25,000, HEI: 64.8 vs. $25,001–$50,000: 62.9 vs. $75,001 or more: 56.2; p = 0.03), ethnicity (Non-Latinx: 56.6 vs. Latinx: 64.4; p = 0.002), language spoken outside of childcare (English: 58.6 vs. Spanish: 64.3, p = 0.005), and language spoken in childcare (English: 59.6 vs. Spanish: 64.4; p = 0.02). In linear regression models, a higher provider income ($75,001 or more) was negatively and significantly associated with the total HEI-2015 scores (β = −9.8, SE = 3.7; p = 0.009) vs. lower income (less than $25,000). When entering provider income and ethnicity to the same model, adjusting for Child and Adult Food Program (CACFP), only ethnicity was significant, with Latinx being positively associated with total HEI-2015 scores vs. non-Latinx (β = 6.5, SE = 2.4; p = 0.007). Statistically significant differences were found by ethnicity and language for greens/beans, total protein, and seafood and plant protein HEI-2015 component scores. Discussion: Lower income, and Latinx providers cared-for children had higher diet quality in FCCH compared to the other providers. Future studies should better understand what specific foods contribute to each of the HEI-2015 components in order to better tailor trainings and interventions.
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spelling pubmed-72848782020-06-17 Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes Tovar, Alison Risica, Patricia Markham Ramirez, Andrea Mena, Noereem Lofgren, Ingrid E. Cooksey Stowers, Kristen Gans, Kim M. Nutrients Article Since food preferences develop during early childhood and contribute to dietary patterns that can track into adulthood, it is critical to support healthy food environments in places where children spend significant amounts of time in, such as childcare. It is important to understand what factors influence the diet quality of children cared for in family childcare homes (FCCH). Methods: This study used baseline data from a cluster-randomized trial in FCCH, Healthy Start/Comienzos Sanos. Surveys capturing providers’ socio-demographic characteristics were completed. Food and beverage consumptions were estimated using the Dietary Observation in Childcare protocol, and diet quality was calculated using the Healthy Eating Index (HEI)-2015. Comparison of mean HEI scores by provider socio-demographic variables were completed using ANOVAs, followed by multiple linear regression models for significant variables. Post-hoc ANOVA models compared mean HEI-2015 sub-components by income and ethnicity. Results: Significant differences in mean HEI-2015 scores were found for provider income level (less than $25,000, HEI: 64.8 vs. $25,001–$50,000: 62.9 vs. $75,001 or more: 56.2; p = 0.03), ethnicity (Non-Latinx: 56.6 vs. Latinx: 64.4; p = 0.002), language spoken outside of childcare (English: 58.6 vs. Spanish: 64.3, p = 0.005), and language spoken in childcare (English: 59.6 vs. Spanish: 64.4; p = 0.02). In linear regression models, a higher provider income ($75,001 or more) was negatively and significantly associated with the total HEI-2015 scores (β = −9.8, SE = 3.7; p = 0.009) vs. lower income (less than $25,000). When entering provider income and ethnicity to the same model, adjusting for Child and Adult Food Program (CACFP), only ethnicity was significant, with Latinx being positively associated with total HEI-2015 scores vs. non-Latinx (β = 6.5, SE = 2.4; p = 0.007). Statistically significant differences were found by ethnicity and language for greens/beans, total protein, and seafood and plant protein HEI-2015 component scores. Discussion: Lower income, and Latinx providers cared-for children had higher diet quality in FCCH compared to the other providers. Future studies should better understand what specific foods contribute to each of the HEI-2015 components in order to better tailor trainings and interventions. MDPI 2020-05-11 /pmc/articles/PMC7284878/ /pubmed/32403299 http://dx.doi.org/10.3390/nu12051368 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tovar, Alison
Risica, Patricia Markham
Ramirez, Andrea
Mena, Noereem
Lofgren, Ingrid E.
Cooksey Stowers, Kristen
Gans, Kim M.
Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes
title Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes
title_full Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes
title_fullStr Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes
title_full_unstemmed Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes
title_short Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes
title_sort exploring the provider-level socio-demographic determinants of diet quality of preschool-aged children attending family childcare homes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284878/
https://www.ncbi.nlm.nih.gov/pubmed/32403299
http://dx.doi.org/10.3390/nu12051368
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