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Individual-, home- and preschool-level correlates of preschool children’s sedentary time
BACKGROUND: Prechoolers’ significant portions of sedentary time (ST) is a public-health concern due to its high prevalence and negative health consequences. However, few studies have explored correlates of preschoolers’ ST covering individual-, home- and preschool- factors within one study. The aim...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006386/ https://www.ncbi.nlm.nih.gov/pubmed/32033601 http://dx.doi.org/10.1186/s12887-020-1948-y |
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author | Määttä, Suvi Konttinen, Hanna de Oliveira Figueiredo, Rejane Augusta Haukkala, Ari Sajaniemi, Nina Erkkola, Maijaliisa Roos, Eva |
author_facet | Määttä, Suvi Konttinen, Hanna de Oliveira Figueiredo, Rejane Augusta Haukkala, Ari Sajaniemi, Nina Erkkola, Maijaliisa Roos, Eva |
author_sort | Määttä, Suvi |
collection | PubMed |
description | BACKGROUND: Prechoolers’ significant portions of sedentary time (ST) is a public-health concern due to its high prevalence and negative health consequences. However, few studies have explored correlates of preschoolers’ ST covering individual-, home- and preschool- factors within one study. The aim of this study was to identify the associations between multiple individual-, home- and preschool-level factors and preschoolers’ ST. In addition, it was studied how much individual-, home- and preschool-level factors explained the variance in children’s ST. METHODS: A total of 864 children aged three to six, their parents and 66 preschools participated in the cross-sectional DAGIS study, which occurred between 2015 and 2016. The children wore an accelerometer for 1 week. Guardians, principals and early educators completed questionnaires covering the potential correlates of children’s ST, for example, temperament, practices, self-efficacy and regulations. Multilevel regression analyses were conducted in multiple steps; calculation of marginal and conditional R(2) values occurred in the final phase. RESULTS: Of the 29 studied correlates, the following factors remained significant in the final models. Being a boy (p < 0.001) and having high levels of surgency temperament (p < 0.001) were associated with lower ST. Regarding the home setting, frequent co-visits in physical activity (PA) places (p = 0.014) were associated with lower ST. Higher parental perceived barriers related to children’s outside PA (p = 0.032) was associated with higher ST. None of the preschool setting factors remained significant in the final model. Approximately 11% of the variance in children’s ST was attributed to factors related to the individual level whereas 5% was attributed to home-level factors; and 2% to preschool-level factors. CONCLUSIONS: This study identified a set of correlates of preschool children’s ST. Interventions aimed at reducing children’s ST should develop strategies targeting established correlates of preschoolers’ ST covering individual-, home- and preschool-level factors. The preschool-level factors included in this study explained little the variance in children’s ST. However, the included measures may not have captured the essential preschool-level factors that specifically influence children’s ST. Therefore, more studies are needed regarding potential preschool-level factors. |
format | Online Article Text |
id | pubmed-7006386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70063862020-02-13 Individual-, home- and preschool-level correlates of preschool children’s sedentary time Määttä, Suvi Konttinen, Hanna de Oliveira Figueiredo, Rejane Augusta Haukkala, Ari Sajaniemi, Nina Erkkola, Maijaliisa Roos, Eva BMC Pediatr Research Article BACKGROUND: Prechoolers’ significant portions of sedentary time (ST) is a public-health concern due to its high prevalence and negative health consequences. However, few studies have explored correlates of preschoolers’ ST covering individual-, home- and preschool- factors within one study. The aim of this study was to identify the associations between multiple individual-, home- and preschool-level factors and preschoolers’ ST. In addition, it was studied how much individual-, home- and preschool-level factors explained the variance in children’s ST. METHODS: A total of 864 children aged three to six, their parents and 66 preschools participated in the cross-sectional DAGIS study, which occurred between 2015 and 2016. The children wore an accelerometer for 1 week. Guardians, principals and early educators completed questionnaires covering the potential correlates of children’s ST, for example, temperament, practices, self-efficacy and regulations. Multilevel regression analyses were conducted in multiple steps; calculation of marginal and conditional R(2) values occurred in the final phase. RESULTS: Of the 29 studied correlates, the following factors remained significant in the final models. Being a boy (p < 0.001) and having high levels of surgency temperament (p < 0.001) were associated with lower ST. Regarding the home setting, frequent co-visits in physical activity (PA) places (p = 0.014) were associated with lower ST. Higher parental perceived barriers related to children’s outside PA (p = 0.032) was associated with higher ST. None of the preschool setting factors remained significant in the final model. Approximately 11% of the variance in children’s ST was attributed to factors related to the individual level whereas 5% was attributed to home-level factors; and 2% to preschool-level factors. CONCLUSIONS: This study identified a set of correlates of preschool children’s ST. Interventions aimed at reducing children’s ST should develop strategies targeting established correlates of preschoolers’ ST covering individual-, home- and preschool-level factors. The preschool-level factors included in this study explained little the variance in children’s ST. However, the included measures may not have captured the essential preschool-level factors that specifically influence children’s ST. Therefore, more studies are needed regarding potential preschool-level factors. BioMed Central 2020-02-07 /pmc/articles/PMC7006386/ /pubmed/32033601 http://dx.doi.org/10.1186/s12887-020-1948-y Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Määttä, Suvi Konttinen, Hanna de Oliveira Figueiredo, Rejane Augusta Haukkala, Ari Sajaniemi, Nina Erkkola, Maijaliisa Roos, Eva Individual-, home- and preschool-level correlates of preschool children’s sedentary time |
title | Individual-, home- and preschool-level correlates of preschool children’s sedentary time |
title_full | Individual-, home- and preschool-level correlates of preschool children’s sedentary time |
title_fullStr | Individual-, home- and preschool-level correlates of preschool children’s sedentary time |
title_full_unstemmed | Individual-, home- and preschool-level correlates of preschool children’s sedentary time |
title_short | Individual-, home- and preschool-level correlates of preschool children’s sedentary time |
title_sort | individual-, home- and preschool-level correlates of preschool children’s sedentary time |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006386/ https://www.ncbi.nlm.nih.gov/pubmed/32033601 http://dx.doi.org/10.1186/s12887-020-1948-y |
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