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Movement behaviors and cardiometabolic risk in schoolchildren

Growing evidence has accumulated in recent years showing that movement behaviors have important implications for health in children, especially for cardiovascular health, whose risk factors could track from childhood to adulthood. However, these findings are mixed and inconsistent in children. The a...

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Autores principales: Lucas-de la Cruz, Lidia, Martínez-Vizcaíno, Vicente, Cañete García-Prieto, Jorge, Arias-Palencia, Natalia, Diez-Fernandez, Ana, Milla-Tobarra, Marta, Notario-Pacheco, Blanca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235312/
https://www.ncbi.nlm.nih.gov/pubmed/30427939
http://dx.doi.org/10.1371/journal.pone.0207300
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author Lucas-de la Cruz, Lidia
Martínez-Vizcaíno, Vicente
Cañete García-Prieto, Jorge
Arias-Palencia, Natalia
Diez-Fernandez, Ana
Milla-Tobarra, Marta
Notario-Pacheco, Blanca
author_facet Lucas-de la Cruz, Lidia
Martínez-Vizcaíno, Vicente
Cañete García-Prieto, Jorge
Arias-Palencia, Natalia
Diez-Fernandez, Ana
Milla-Tobarra, Marta
Notario-Pacheco, Blanca
author_sort Lucas-de la Cruz, Lidia
collection PubMed
description Growing evidence has accumulated in recent years showing that movement behaviors have important implications for health in children, especially for cardiovascular health, whose risk factors could track from childhood to adulthood. However, these findings are mixed and inconsistent in children. The aim of this study was to examine the relationship between different movement behaviors (sedentary behavior, physical activity and sleep duration) and cardiometabolic risk in schoolchildren. The study shows cross-sectional results of baseline measurement from 146 Spanish schoolchildren, aged 8-to-11 years old, participating in the MOVI-2 study. Movement behaviors were determined using accelerometry combined with self-reported sleep time. Cardiometabolic risk was assessed using a validated metabolic syndrome index. Logistic regression analysis showed that higher levels of vigorous physical activity (OR = 0.110, p = 0.004) and sleeping more than 9 hours (OR = 0.269, p = 0.015) could be protective factors against metabolic syndrome risk in children. ANCOVA analysis showed associations between vigorous physical activity and waist circumference (p < 0.001), and sleep time with insulin resistance (p = 0.017) and lipid profile (p = 0.035). No association was observed between light and moderate physical activity, sedentary behavior and metabolic syndrome (index and components). No statistically significant differences were found for blood pressure and any of the movement behaviors. Our data suggest that both the amount of vigorous physical activity accumulated and sleep duration are independently associated with higher cardiometabolic risk in children.
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spelling pubmed-62353122018-12-01 Movement behaviors and cardiometabolic risk in schoolchildren Lucas-de la Cruz, Lidia Martínez-Vizcaíno, Vicente Cañete García-Prieto, Jorge Arias-Palencia, Natalia Diez-Fernandez, Ana Milla-Tobarra, Marta Notario-Pacheco, Blanca PLoS One Research Article Growing evidence has accumulated in recent years showing that movement behaviors have important implications for health in children, especially for cardiovascular health, whose risk factors could track from childhood to adulthood. However, these findings are mixed and inconsistent in children. The aim of this study was to examine the relationship between different movement behaviors (sedentary behavior, physical activity and sleep duration) and cardiometabolic risk in schoolchildren. The study shows cross-sectional results of baseline measurement from 146 Spanish schoolchildren, aged 8-to-11 years old, participating in the MOVI-2 study. Movement behaviors were determined using accelerometry combined with self-reported sleep time. Cardiometabolic risk was assessed using a validated metabolic syndrome index. Logistic regression analysis showed that higher levels of vigorous physical activity (OR = 0.110, p = 0.004) and sleeping more than 9 hours (OR = 0.269, p = 0.015) could be protective factors against metabolic syndrome risk in children. ANCOVA analysis showed associations between vigorous physical activity and waist circumference (p < 0.001), and sleep time with insulin resistance (p = 0.017) and lipid profile (p = 0.035). No association was observed between light and moderate physical activity, sedentary behavior and metabolic syndrome (index and components). No statistically significant differences were found for blood pressure and any of the movement behaviors. Our data suggest that both the amount of vigorous physical activity accumulated and sleep duration are independently associated with higher cardiometabolic risk in children. Public Library of Science 2018-11-14 /pmc/articles/PMC6235312/ /pubmed/30427939 http://dx.doi.org/10.1371/journal.pone.0207300 Text en © 2018 Lucas-de la Cruz et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lucas-de la Cruz, Lidia
Martínez-Vizcaíno, Vicente
Cañete García-Prieto, Jorge
Arias-Palencia, Natalia
Diez-Fernandez, Ana
Milla-Tobarra, Marta
Notario-Pacheco, Blanca
Movement behaviors and cardiometabolic risk in schoolchildren
title Movement behaviors and cardiometabolic risk in schoolchildren
title_full Movement behaviors and cardiometabolic risk in schoolchildren
title_fullStr Movement behaviors and cardiometabolic risk in schoolchildren
title_full_unstemmed Movement behaviors and cardiometabolic risk in schoolchildren
title_short Movement behaviors and cardiometabolic risk in schoolchildren
title_sort movement behaviors and cardiometabolic risk in schoolchildren
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235312/
https://www.ncbi.nlm.nih.gov/pubmed/30427939
http://dx.doi.org/10.1371/journal.pone.0207300
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