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Correlates of sedentary time in children: a multilevel modelling approach

BACKGROUND: Sedentary behaviour (SB) has been implicated as a potential risk factor for chronic disease. Since children spend most of their awake time in schools, this study aimed to identify individual- and school-level correlates of sedentary time using a multilevel approach, and to determine if t...

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Autores principales: Gomes, Thayse Natacha, dos Santos, Fernanda Karina, Santos, Daniel, Pereira, Sara, Chaves, Raquel, Katzmarzyk, Peter Todd, Maia, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4159552/
https://www.ncbi.nlm.nih.gov/pubmed/25174736
http://dx.doi.org/10.1186/1471-2458-14-890
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author Gomes, Thayse Natacha
dos Santos, Fernanda Karina
Santos, Daniel
Pereira, Sara
Chaves, Raquel
Katzmarzyk, Peter Todd
Maia, José
author_facet Gomes, Thayse Natacha
dos Santos, Fernanda Karina
Santos, Daniel
Pereira, Sara
Chaves, Raquel
Katzmarzyk, Peter Todd
Maia, José
author_sort Gomes, Thayse Natacha
collection PubMed
description BACKGROUND: Sedentary behaviour (SB) has been implicated as a potential risk factor for chronic disease. Since children spend most of their awake time in schools, this study aimed to identify individual- and school-level correlates of sedentary time using a multilevel approach, and to determine if these correlates have a similar effect in normal weight (NW) and overweight/obese (O/O) children. METHODS: Sample comprised 686 Portuguese children aged 9-10 years from 23 schools that took part in the ISCOLE project. Actigraph GT3X + accelerometers were used 24 hours/day for 7 days to assess sedentary time (daily minutes <100 counts/min); BMI was computed and WHO cut-points were used to classify subjects as NW or O/O. Sex, BMI, number of siblings, family income, computer use on school days, and sleep time on school days were used as individual-level correlates. At the school level, school size (number of students), percentage of students involved in sports or physical activity (PA) clubs, school promotion of active transportation, and students’ access to equipment outside school hours were used. All multilevel modelling analysis was done in SPSS, WINPEPI, and HLM. RESULTS: School-level correlates explain ≈ 6.0% of the total variance in sedentary time. Results (β ± SE) showed that boys (-30.85 ± 5.23), children with more siblings (-8.56 ± 2.71) and those who sleep more (-17.78 ± 3.06) were less sedentary, while children with higher family income were more sedentary (4.32 ± 1.68). At the school level, no variable was significantly correlated with sedentary time. Among weight groups, variables related to sedentary time in NW were sex, sleep time and family income, while in O/O sex, number of siblings and sleep time were significant correlates. No school-level predictors were significantly associated in either of the weight groups. CONCLUSION: Notwithstanding the relevance of the school environment in the reduction of children’s sedentary time, individual and family characteristics played a more relevant role than the school context in this study.
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spelling pubmed-41595522014-09-11 Correlates of sedentary time in children: a multilevel modelling approach Gomes, Thayse Natacha dos Santos, Fernanda Karina Santos, Daniel Pereira, Sara Chaves, Raquel Katzmarzyk, Peter Todd Maia, José BMC Public Health Research Article BACKGROUND: Sedentary behaviour (SB) has been implicated as a potential risk factor for chronic disease. Since children spend most of their awake time in schools, this study aimed to identify individual- and school-level correlates of sedentary time using a multilevel approach, and to determine if these correlates have a similar effect in normal weight (NW) and overweight/obese (O/O) children. METHODS: Sample comprised 686 Portuguese children aged 9-10 years from 23 schools that took part in the ISCOLE project. Actigraph GT3X + accelerometers were used 24 hours/day for 7 days to assess sedentary time (daily minutes <100 counts/min); BMI was computed and WHO cut-points were used to classify subjects as NW or O/O. Sex, BMI, number of siblings, family income, computer use on school days, and sleep time on school days were used as individual-level correlates. At the school level, school size (number of students), percentage of students involved in sports or physical activity (PA) clubs, school promotion of active transportation, and students’ access to equipment outside school hours were used. All multilevel modelling analysis was done in SPSS, WINPEPI, and HLM. RESULTS: School-level correlates explain ≈ 6.0% of the total variance in sedentary time. Results (β ± SE) showed that boys (-30.85 ± 5.23), children with more siblings (-8.56 ± 2.71) and those who sleep more (-17.78 ± 3.06) were less sedentary, while children with higher family income were more sedentary (4.32 ± 1.68). At the school level, no variable was significantly correlated with sedentary time. Among weight groups, variables related to sedentary time in NW were sex, sleep time and family income, while in O/O sex, number of siblings and sleep time were significant correlates. No school-level predictors were significantly associated in either of the weight groups. CONCLUSION: Notwithstanding the relevance of the school environment in the reduction of children’s sedentary time, individual and family characteristics played a more relevant role than the school context in this study. BioMed Central 2014-08-30 /pmc/articles/PMC4159552/ /pubmed/25174736 http://dx.doi.org/10.1186/1471-2458-14-890 Text en © Gomes et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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 work is properly credited. 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 Article
Gomes, Thayse Natacha
dos Santos, Fernanda Karina
Santos, Daniel
Pereira, Sara
Chaves, Raquel
Katzmarzyk, Peter Todd
Maia, José
Correlates of sedentary time in children: a multilevel modelling approach
title Correlates of sedentary time in children: a multilevel modelling approach
title_full Correlates of sedentary time in children: a multilevel modelling approach
title_fullStr Correlates of sedentary time in children: a multilevel modelling approach
title_full_unstemmed Correlates of sedentary time in children: a multilevel modelling approach
title_short Correlates of sedentary time in children: a multilevel modelling approach
title_sort correlates of sedentary time in children: a multilevel modelling approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4159552/
https://www.ncbi.nlm.nih.gov/pubmed/25174736
http://dx.doi.org/10.1186/1471-2458-14-890
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