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Physical activity in young children across developmental and health states: the ActiveCHILD study

BACKGROUND: Evidence about physical activity of young children across developmental and health states is very limited. Using data from an inclusive UK cohort, ActiveCHILD, we investigated relationships between objectively measured physical activity, child development, social context, and health-rela...

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Autores principales: Kolehmainen, Niina, Thornton, Christopher, Craw, Olivia, Pearce, Mark S., Kudlek, Laura, Nazarpour, Kianoush, Cutler, Laura, Van Sluijs, Esther, Rapley, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220310/
https://www.ncbi.nlm.nih.gov/pubmed/37251626
http://dx.doi.org/10.1016/j.eclinm.2023.102008
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author Kolehmainen, Niina
Thornton, Christopher
Craw, Olivia
Pearce, Mark S.
Kudlek, Laura
Nazarpour, Kianoush
Cutler, Laura
Van Sluijs, Esther
Rapley, Tim
author_facet Kolehmainen, Niina
Thornton, Christopher
Craw, Olivia
Pearce, Mark S.
Kudlek, Laura
Nazarpour, Kianoush
Cutler, Laura
Van Sluijs, Esther
Rapley, Tim
author_sort Kolehmainen, Niina
collection PubMed
description BACKGROUND: Evidence about physical activity of young children across developmental and health states is very limited. Using data from an inclusive UK cohort, ActiveCHILD, we investigated relationships between objectively measured physical activity, child development, social context, and health-related quality of life (HRQoL). METHODS: Children (12–36 months), purposively sampled across health pathways, developmental abilities, and sociodemographic factors, were recruited through thirteen National Health Service organisations in England. Data were collected from 07/2017 to 08/2019 on: weekly physical activity (3–7 days) using waist-worn accelerometer (ActiGraph 3GTX); sociodemographics, parent actions, child HRQoL, and child development using questionnaires; and child health conditions using clinical records. A data-driven, unsupervised method, called hidden semi-Markov model (HSMM) segmented the accelerometery data and provided estimates of the total time spent active (any intensity) and very active (greater intensity) for each child. Relationships with the explanatory factors were investigated using multiple linear regression. FINDINGS: Physical activity data were obtained for 282 children (56% females, mean age 21 months, 37.5% with a health condition) covering all index of multiple deprivation deciles. The patterns of physical activity consisted of two daily peaks, children spending 6.44 (SD = 1.39) hours active (any intensity), of which 2.78 (SD = 1.38) hours very active, 91% meeting WHO guidelines. The model for total time active (any intensity) explained 24% of variance, with mobility capacity the strongest predictor (β = 0.41). The model for time spent very active explained 59% of variance, with mobility capacity again the strongest predictor (β = 0.76). There was no evidence of physical activity explaining HRQoL. INTERPRETATION: The findings provide new evidence that young children across developmental states regularly achieve mainstream recommended physical activity levels and challenges the belief that children with development problems need lower expectations for daily physical activity compared to peers. Advancing the rights of all children to participate in physical activity requires inclusive, equally ambitious, expectations for all. FUNDING: Niina Kolehmainen, HEE/NIHR Integrated Clinical Academic Senior Clinical Lecturer, NIHR ICA-SCL-2015-01-00, was funded by the 10.13039/100006662NIHR for this research project. Christopher Thornton, Olivia Craw, Laura Kudlek, and Laura Cutler were also funded from this award. Tim Rapley is a member of the NIHR Applied Research Collaboration North East and North Cumbria, with part of his time funded through the related award (NIHR200173). The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR, NHS, or the UK Department of Health and Social Care. The work of Kianoush Nazarpour is supported by 10.13039/501100000266Engineering and Physical Sciences Research Council (EPSRC), under grant number EP/R004242/2.
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spelling pubmed-102203102023-05-28 Physical activity in young children across developmental and health states: the ActiveCHILD study Kolehmainen, Niina Thornton, Christopher Craw, Olivia Pearce, Mark S. Kudlek, Laura Nazarpour, Kianoush Cutler, Laura Van Sluijs, Esther Rapley, Tim eClinicalMedicine Articles BACKGROUND: Evidence about physical activity of young children across developmental and health states is very limited. Using data from an inclusive UK cohort, ActiveCHILD, we investigated relationships between objectively measured physical activity, child development, social context, and health-related quality of life (HRQoL). METHODS: Children (12–36 months), purposively sampled across health pathways, developmental abilities, and sociodemographic factors, were recruited through thirteen National Health Service organisations in England. Data were collected from 07/2017 to 08/2019 on: weekly physical activity (3–7 days) using waist-worn accelerometer (ActiGraph 3GTX); sociodemographics, parent actions, child HRQoL, and child development using questionnaires; and child health conditions using clinical records. A data-driven, unsupervised method, called hidden semi-Markov model (HSMM) segmented the accelerometery data and provided estimates of the total time spent active (any intensity) and very active (greater intensity) for each child. Relationships with the explanatory factors were investigated using multiple linear regression. FINDINGS: Physical activity data were obtained for 282 children (56% females, mean age 21 months, 37.5% with a health condition) covering all index of multiple deprivation deciles. The patterns of physical activity consisted of two daily peaks, children spending 6.44 (SD = 1.39) hours active (any intensity), of which 2.78 (SD = 1.38) hours very active, 91% meeting WHO guidelines. The model for total time active (any intensity) explained 24% of variance, with mobility capacity the strongest predictor (β = 0.41). The model for time spent very active explained 59% of variance, with mobility capacity again the strongest predictor (β = 0.76). There was no evidence of physical activity explaining HRQoL. INTERPRETATION: The findings provide new evidence that young children across developmental states regularly achieve mainstream recommended physical activity levels and challenges the belief that children with development problems need lower expectations for daily physical activity compared to peers. Advancing the rights of all children to participate in physical activity requires inclusive, equally ambitious, expectations for all. FUNDING: Niina Kolehmainen, HEE/NIHR Integrated Clinical Academic Senior Clinical Lecturer, NIHR ICA-SCL-2015-01-00, was funded by the 10.13039/100006662NIHR for this research project. Christopher Thornton, Olivia Craw, Laura Kudlek, and Laura Cutler were also funded from this award. Tim Rapley is a member of the NIHR Applied Research Collaboration North East and North Cumbria, with part of his time funded through the related award (NIHR200173). The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR, NHS, or the UK Department of Health and Social Care. The work of Kianoush Nazarpour is supported by 10.13039/501100000266Engineering and Physical Sciences Research Council (EPSRC), under grant number EP/R004242/2. Elsevier 2023-05-25 /pmc/articles/PMC10220310/ /pubmed/37251626 http://dx.doi.org/10.1016/j.eclinm.2023.102008 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Kolehmainen, Niina
Thornton, Christopher
Craw, Olivia
Pearce, Mark S.
Kudlek, Laura
Nazarpour, Kianoush
Cutler, Laura
Van Sluijs, Esther
Rapley, Tim
Physical activity in young children across developmental and health states: the ActiveCHILD study
title Physical activity in young children across developmental and health states: the ActiveCHILD study
title_full Physical activity in young children across developmental and health states: the ActiveCHILD study
title_fullStr Physical activity in young children across developmental and health states: the ActiveCHILD study
title_full_unstemmed Physical activity in young children across developmental and health states: the ActiveCHILD study
title_short Physical activity in young children across developmental and health states: the ActiveCHILD study
title_sort physical activity in young children across developmental and health states: the activechild study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220310/
https://www.ncbi.nlm.nih.gov/pubmed/37251626
http://dx.doi.org/10.1016/j.eclinm.2023.102008
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