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Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort

BACKGROUND: Despite the growing interest in the relation between adiposity in children and different lifestyle clusters, few studies used a longitudinal design to examine a large range of behaviors in various contexts, in particular eating- and sleep-related routines, and few studies have examined t...

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Autores principales: Saldanha-Gomes, Cécilia, Marbac, Matthieu, Sedki, Mohammed, Cornet, Maxime, Plancoulaine, Sabine, Charles, Marie-Aline, Lioret, Sandrine, Dargent-Molina, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014717/
https://www.ncbi.nlm.nih.gov/pubmed/32050975
http://dx.doi.org/10.1186/s12966-020-00927-6
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author Saldanha-Gomes, Cécilia
Marbac, Matthieu
Sedki, Mohammed
Cornet, Maxime
Plancoulaine, Sabine
Charles, Marie-Aline
Lioret, Sandrine
Dargent-Molina, Patricia
author_facet Saldanha-Gomes, Cécilia
Marbac, Matthieu
Sedki, Mohammed
Cornet, Maxime
Plancoulaine, Sabine
Charles, Marie-Aline
Lioret, Sandrine
Dargent-Molina, Patricia
author_sort Saldanha-Gomes, Cécilia
collection PubMed
description BACKGROUND: Despite the growing interest in the relation between adiposity in children and different lifestyle clusters, few studies used a longitudinal design to examine a large range of behaviors in various contexts, in particular eating- and sleep-related routines, and few studies have examined these factors in young children. The objectives of this study were to identify clusters of boys and girls based on diet, sleep and activity-related behaviors and their family environment at 2 and 5 years of age, and to assess whether the clusters identified varied across maternal education levels and were associated with body fat at age 5. METHODS: At 2 and 5 years, respectively, 1436 and 1195 parents from the EDEN mother-child cohort completed a questionnaire including behavioral data. A latent class analysis aimed to uncover gender-specific behavioral clusters. Body fat percentage was estimated by anthropometric and bioelectrical impedance measurements. Association between cluster membership and body fat was assessed with mutivariable linear regression models. RESULTS: At 2 years, two clusters emerged that were essentially characterized by opposite eating habits. At 5 years, TV exposure was the most distinguishing feature, but the numbers and types of clusters differed by gender. An association between cluster membership and body fat was found only in girls at 5 years of age, with girls in the cluster defined by very high TV exposure and unfavorable mealtime habits (despite high outdoor playing and walking time) having the highest body fat. Girls whose mother had low educational attainment were more likely to be in this high-risk cluster. Girls who were on a cluster evolution path corresponding to the highest TV viewing time and the least favorable mealtime habits from 2 to 5 years of age had higher body fat at 5 years. CONCLUSIONS: Efforts to decrease TV time and improve mealtime routines may hold promise for preventing overweight in young children, especially girls growing up in disadvantaged families. These preventive efforts should start as early in life as possible, ideally before the age of two, and should be sustained over the preschool years.
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spelling pubmed-70147172020-02-20 Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort Saldanha-Gomes, Cécilia Marbac, Matthieu Sedki, Mohammed Cornet, Maxime Plancoulaine, Sabine Charles, Marie-Aline Lioret, Sandrine Dargent-Molina, Patricia Int J Behav Nutr Phys Act Research BACKGROUND: Despite the growing interest in the relation between adiposity in children and different lifestyle clusters, few studies used a longitudinal design to examine a large range of behaviors in various contexts, in particular eating- and sleep-related routines, and few studies have examined these factors in young children. The objectives of this study were to identify clusters of boys and girls based on diet, sleep and activity-related behaviors and their family environment at 2 and 5 years of age, and to assess whether the clusters identified varied across maternal education levels and were associated with body fat at age 5. METHODS: At 2 and 5 years, respectively, 1436 and 1195 parents from the EDEN mother-child cohort completed a questionnaire including behavioral data. A latent class analysis aimed to uncover gender-specific behavioral clusters. Body fat percentage was estimated by anthropometric and bioelectrical impedance measurements. Association between cluster membership and body fat was assessed with mutivariable linear regression models. RESULTS: At 2 years, two clusters emerged that were essentially characterized by opposite eating habits. At 5 years, TV exposure was the most distinguishing feature, but the numbers and types of clusters differed by gender. An association between cluster membership and body fat was found only in girls at 5 years of age, with girls in the cluster defined by very high TV exposure and unfavorable mealtime habits (despite high outdoor playing and walking time) having the highest body fat. Girls whose mother had low educational attainment were more likely to be in this high-risk cluster. Girls who were on a cluster evolution path corresponding to the highest TV viewing time and the least favorable mealtime habits from 2 to 5 years of age had higher body fat at 5 years. CONCLUSIONS: Efforts to decrease TV time and improve mealtime routines may hold promise for preventing overweight in young children, especially girls growing up in disadvantaged families. These preventive efforts should start as early in life as possible, ideally before the age of two, and should be sustained over the preschool years. BioMed Central 2020-02-12 /pmc/articles/PMC7014717/ /pubmed/32050975 http://dx.doi.org/10.1186/s12966-020-00927-6 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Saldanha-Gomes, Cécilia
Marbac, Matthieu
Sedki, Mohammed
Cornet, Maxime
Plancoulaine, Sabine
Charles, Marie-Aline
Lioret, Sandrine
Dargent-Molina, Patricia
Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort
title Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort
title_full Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort
title_fullStr Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort
title_full_unstemmed Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort
title_short Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort
title_sort clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the eden mother-child cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014717/
https://www.ncbi.nlm.nih.gov/pubmed/32050975
http://dx.doi.org/10.1186/s12966-020-00927-6
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