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Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children

Obesity in children is partly due to unhealthy lifestyle behaviours, e.g., sedentary activity and poor dietary choices. This trend has been seen globally. To determine the extent of these behaviours in a Portuguese population of children, 686 children 9.5 to 10.5 years of age were studied. Our aims...

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Autores principales: Pereira, Sara, Katzmarzyk, Peter T., Gomes, Thayse Natacha, Borges, Alessandra, Santos, Daniel, Souza, Michele, dos Santos, Fernanda K., Chaves, Raquel N., Champagne, Catherine M., Barreira, Tiago V., Maia, José A.R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488788/
https://www.ncbi.nlm.nih.gov/pubmed/26043034
http://dx.doi.org/10.3390/nu7064345
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author Pereira, Sara
Katzmarzyk, Peter T.
Gomes, Thayse Natacha
Borges, Alessandra
Santos, Daniel
Souza, Michele
dos Santos, Fernanda K.
Chaves, Raquel N.
Champagne, Catherine M.
Barreira, Tiago V.
Maia, José A.R.
author_facet Pereira, Sara
Katzmarzyk, Peter T.
Gomes, Thayse Natacha
Borges, Alessandra
Santos, Daniel
Souza, Michele
dos Santos, Fernanda K.
Chaves, Raquel N.
Champagne, Catherine M.
Barreira, Tiago V.
Maia, José A.R.
author_sort Pereira, Sara
collection PubMed
description Obesity in children is partly due to unhealthy lifestyle behaviours, e.g., sedentary activity and poor dietary choices. This trend has been seen globally. To determine the extent of these behaviours in a Portuguese population of children, 686 children 9.5 to 10.5 years of age were studied. Our aims were to: (1) describe profiles of children’s lifestyle behaviours; (2) identify behaviour pattern classes; and (3) estimate combined effects of individual/socio-demographic characteristics in predicting class membership. Physical activity and sleep time were estimated by 24-h accelerometry. Nutritional habits, screen time and socio-demographics were obtained. Latent Class Analysis was used to determine unhealthy lifestyle behaviours. Logistic regression analysis predicted class membership. About 78% of children had three or more unhealthy lifestyle behaviours, while 0.2% presented no risk. Two classes were identified: Class 1-Sedentary, poorer diet quality; and Class 2-Insufficiently active, better diet quality, 35% and 65% of the population, respectively. More mature children (Odds Ratio (OR) = 6.75; 95%CI = 4.74–10.41), and boys (OR = 3.06; 95% CI = 1.98–4.72) were more likely to be overweight/obese. However, those belonging to Class 2 were less likely to be overweight/obese (OR = 0.60; 95% CI = 0.43–0.84). Maternal education level and household income did not significantly predict weight status (p ≥ 0.05).
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spelling pubmed-44887882015-07-02 Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children Pereira, Sara Katzmarzyk, Peter T. Gomes, Thayse Natacha Borges, Alessandra Santos, Daniel Souza, Michele dos Santos, Fernanda K. Chaves, Raquel N. Champagne, Catherine M. Barreira, Tiago V. Maia, José A.R. Nutrients Article Obesity in children is partly due to unhealthy lifestyle behaviours, e.g., sedentary activity and poor dietary choices. This trend has been seen globally. To determine the extent of these behaviours in a Portuguese population of children, 686 children 9.5 to 10.5 years of age were studied. Our aims were to: (1) describe profiles of children’s lifestyle behaviours; (2) identify behaviour pattern classes; and (3) estimate combined effects of individual/socio-demographic characteristics in predicting class membership. Physical activity and sleep time were estimated by 24-h accelerometry. Nutritional habits, screen time and socio-demographics were obtained. Latent Class Analysis was used to determine unhealthy lifestyle behaviours. Logistic regression analysis predicted class membership. About 78% of children had three or more unhealthy lifestyle behaviours, while 0.2% presented no risk. Two classes were identified: Class 1-Sedentary, poorer diet quality; and Class 2-Insufficiently active, better diet quality, 35% and 65% of the population, respectively. More mature children (Odds Ratio (OR) = 6.75; 95%CI = 4.74–10.41), and boys (OR = 3.06; 95% CI = 1.98–4.72) were more likely to be overweight/obese. However, those belonging to Class 2 were less likely to be overweight/obese (OR = 0.60; 95% CI = 0.43–0.84). Maternal education level and household income did not significantly predict weight status (p ≥ 0.05). MDPI 2015-06-02 /pmc/articles/PMC4488788/ /pubmed/26043034 http://dx.doi.org/10.3390/nu7064345 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pereira, Sara
Katzmarzyk, Peter T.
Gomes, Thayse Natacha
Borges, Alessandra
Santos, Daniel
Souza, Michele
dos Santos, Fernanda K.
Chaves, Raquel N.
Champagne, Catherine M.
Barreira, Tiago V.
Maia, José A.R.
Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children
title Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children
title_full Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children
title_fullStr Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children
title_full_unstemmed Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children
title_short Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children
title_sort profiling physical activity, diet, screen and sleep habits in portuguese children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488788/
https://www.ncbi.nlm.nih.gov/pubmed/26043034
http://dx.doi.org/10.3390/nu7064345
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