Paths towards a healthier BMI among short and adequate sleepers: A pathway network analysis considering movement behaviors in low‐income preschoolers

Author:

de Souza Alesandra Araújo1ORCID,Bandeira Paulo Felipe Ribeiro2ORCID,Vale Susana Maria Coelho Guimarães3ORCID,da Cunha Glacithane Lins4ORCID,Mota Jorge Augusto Pinto Silva5ORCID,de Lucena Martins Clarice Maria567ORCID

Affiliation:

1. Department of Physical Education Federal University of Tocantins Brazil

2. Department of Physical Education University Regional do Cariri Ceará Brazil

3. Escola Superior de Saúde Instituto Politécnico do Porto Portugal

4. Programa de Pós‐Graduação em Educação Física Universidade Federal do Vale do São Francisco Petrolina Pernambuco Brazil

5. Research Centre of Physical Activity, Health and Leisure, Faculty of Sport Sciences University of Porto Porto Portugal

6. Laboratory for Integrative and Translational Research in Population Health (ITR) University of Porto Porto Portugal

7. Departamento de Educação Física Universidade Federal da Paraíba João Pessoa Paraiba Brazil

Abstract

AbstractIntroductionShort sleep duration has been seen as a predictor of higher body mass index (BMI) in youth. Sleep duration varies substantially along early childhood, and the paths towards a healthier BMI, considering the other movement behaviors (physical activity‐PA and screen time) are unexplored in preschoolers.AimTo construct a sleep‐BMI model to capture the direct and indirect paths to intervening towards a healthier BMI, according to low‐income preschoolers' compliance with the other movement behaviors.MethodsTwo hundred and seventy two preschoolers (4.5 ± 0.0; 138 boys) participated in the study. Sleep and screen time (ST) were assessed in a face‐to‐face interview with primary caregivers. PA was assessed using accelerometer (wGT3X‐BT). Preschoolers were categorized as compliant or not with sleep, screen time, total and moderate to vigorous PA recommendations. BMIz‐score was calculated according to preschoolers' sex and age. All the assessed variables, besides sex and age were included in a Network Pathway Analysis (NPA) according to age as nodes.ResultsAt 3 years old, a direct and negative path between sleep‐BMIz score was observed. At four and 5 years old, this relationship became positive. Further, girls were more compliant with sleep, ST and total PA recommendations. Total PA (TPA) showed the highest expected influence value in the general, 3 and 4 years old NPA.ConclusionThe NPA analysis showed different directions for the relationship between sleep and BMIz score, according to age. Intervention strategies to a healthier BMI among preschoolers compliant or not with sleep recommendations should focus in increasing TPA.

Publisher

Wiley

Subject

Genetics,Anthropology,Ecology, Evolution, Behavior and Systematics,Anatomy

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