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Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics
There are few known determinants of sedentary behaviour (SB) in children. We generated and compared profiles associated with risk of excess SB among children (n = 294) both at 8–10 and 10–12 years of age (Visits 1 and 2, respectively), using data from the QUebec Adipose and Lifestyle InvesTigation i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693790/ https://www.ncbi.nlm.nih.gov/pubmed/34987952 http://dx.doi.org/10.1016/j.pmedr.2021.101535 |
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author | Barnett, Tracie A. Contreras, Gisèle Ghenadenik, Adrian E. Zawaly, Kristina Van Hulst, Andraea Mathieu, Marie-Ève Henderson, Mélanie |
author_facet | Barnett, Tracie A. Contreras, Gisèle Ghenadenik, Adrian E. Zawaly, Kristina Van Hulst, Andraea Mathieu, Marie-Ève Henderson, Mélanie |
author_sort | Barnett, Tracie A. |
collection | PubMed |
description | There are few known determinants of sedentary behaviour (SB) in children. We generated and compared profiles associated with risk of excess SB among children (n = 294) both at 8–10 and 10–12 years of age (Visits 1 and 2, respectively), using data from the QUebec Adipose and Lifestyle InvesTigation in Youth. Excess SB was measured by accelerometry and defined as >50% of total wear time at <100 counts/minutes. Recursive partitioning analyses were performed with candidate individual-, family-, and neighbourhood-level factors assessed at Visit 1, and distinct groups at varying risk of excess SB were identified for both timepoints. From the ages of 8–10 to 10–12 years, the prevalence of excess SB more than doubled (24.5% to 57.1%). At Visit 1, excess SB was greatest (73%) among children simultaneously not meeting physical activity guidelines, reporting >2 h/day of weekday non-academic screen time, living in low-dwelling density neighbourhoods, having poor park access, and living in neighbourhoods with greater disadvantage. At Visit 2, the high-risk group (70%) was described by children simultaneously not meeting physical activity guidelines, reporting >2 h/day of non-academic screen time on weekends, and living in neighbourhoods with low disadvantage. Risk factors related to individual lifestyle behaviours are generally consistent, and neighbourhood factors generally inconsistent, as children age from late childhood to pre-adolescence. Multiple factors from developmental, behavioural and contextual domains increase risk for excess sedentary behaviour; these warrant consideration to devise effective prevention or management strategies. |
format | Online Article Text |
id | pubmed-8693790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-86937902022-01-04 Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics Barnett, Tracie A. Contreras, Gisèle Ghenadenik, Adrian E. Zawaly, Kristina Van Hulst, Andraea Mathieu, Marie-Ève Henderson, Mélanie Prev Med Rep Regular Article There are few known determinants of sedentary behaviour (SB) in children. We generated and compared profiles associated with risk of excess SB among children (n = 294) both at 8–10 and 10–12 years of age (Visits 1 and 2, respectively), using data from the QUebec Adipose and Lifestyle InvesTigation in Youth. Excess SB was measured by accelerometry and defined as >50% of total wear time at <100 counts/minutes. Recursive partitioning analyses were performed with candidate individual-, family-, and neighbourhood-level factors assessed at Visit 1, and distinct groups at varying risk of excess SB were identified for both timepoints. From the ages of 8–10 to 10–12 years, the prevalence of excess SB more than doubled (24.5% to 57.1%). At Visit 1, excess SB was greatest (73%) among children simultaneously not meeting physical activity guidelines, reporting >2 h/day of weekday non-academic screen time, living in low-dwelling density neighbourhoods, having poor park access, and living in neighbourhoods with greater disadvantage. At Visit 2, the high-risk group (70%) was described by children simultaneously not meeting physical activity guidelines, reporting >2 h/day of non-academic screen time on weekends, and living in neighbourhoods with low disadvantage. Risk factors related to individual lifestyle behaviours are generally consistent, and neighbourhood factors generally inconsistent, as children age from late childhood to pre-adolescence. Multiple factors from developmental, behavioural and contextual domains increase risk for excess sedentary behaviour; these warrant consideration to devise effective prevention or management strategies. 2021-08-28 /pmc/articles/PMC8693790/ /pubmed/34987952 http://dx.doi.org/10.1016/j.pmedr.2021.101535 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Barnett, Tracie A. Contreras, Gisèle Ghenadenik, Adrian E. Zawaly, Kristina Van Hulst, Andraea Mathieu, Marie-Ève Henderson, Mélanie Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics |
title | Identifying risk profiles for excess sedentary behaviour in youth using
individual, family and neighbourhood characteristics |
title_full | Identifying risk profiles for excess sedentary behaviour in youth using
individual, family and neighbourhood characteristics |
title_fullStr | Identifying risk profiles for excess sedentary behaviour in youth using
individual, family and neighbourhood characteristics |
title_full_unstemmed | Identifying risk profiles for excess sedentary behaviour in youth using
individual, family and neighbourhood characteristics |
title_short | Identifying risk profiles for excess sedentary behaviour in youth using
individual, family and neighbourhood characteristics |
title_sort | identifying risk profiles for excess sedentary behaviour in youth using
individual, family and neighbourhood characteristics |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693790/ https://www.ncbi.nlm.nih.gov/pubmed/34987952 http://dx.doi.org/10.1016/j.pmedr.2021.101535 |
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