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


Journal

The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089

Informations de publication

Date de publication:
12 02 2020
Historique:
received: 02 10 2019
accepted: 07 02 2020
entrez: 14 2 2020
pubmed: 14 2 2020
medline: 2 9 2020
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 32050975
doi: 10.1186/s12966-020-00927-6
pii: 10.1186/s12966-020-00927-6
pmc: PMC7014717
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20

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Auteurs

Cécilia Saldanha-Gomes (C)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France. cecilia.saldanha-gomes@u-psud.fr.
Paris-Saclay University, Faculty of Medicine, F-94276, Kremlin-Bicêtre, France. cecilia.saldanha-gomes@u-psud.fr.
INSERM, UMR1153 Center of Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EARoH), Bat Inserm 15-16, Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France. cecilia.saldanha-gomes@u-psud.fr.

Matthieu Marbac (M)

Rennes University, Ensai, CNRS, CREST - UMR 9194, F-35000, Rennes, France.

Mohammed Sedki (M)

Paris-Saclay University, INSERM UMR1018, CESP, F-94807, Villejuif, France.

Maxime Cornet (M)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.
INSERM, UMR1153 Center of Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EARoH), Bat Inserm 15-16, Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France.

Sabine Plancoulaine (S)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.
INSERM, UMR1153 Center of Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EARoH), Bat Inserm 15-16, Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France.

Marie-Aline Charles (MA)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.
INSERM, UMR1153 Center of Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EARoH), Bat Inserm 15-16, Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France.

Sandrine Lioret (S)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.
INSERM, UMR1153 Center of Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EARoH), Bat Inserm 15-16, Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France.

Patricia Dargent-Molina (P)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.
INSERM, UMR1153 Center of Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EARoH), Bat Inserm 15-16, Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France.

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