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Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years

BACKGROUND: Combinations of movement behaviors (i.e., physical activity, sedentary behavior, sleep) are associated with health and developmental outcomes in youth. Youth vary in how they accumulate these behaviors, both in volume and specific domains (e.g., sedentary time spent on recreational scree...

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Autores principales: Wilhite, Katrina, del Pozo Cruz, Borja, Noetel, Michael, Lonsdale, Chris, Ridgers, Nicola D., Maher, Carol, Bradshaw, Emma, Sanders, Taren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363305/
https://www.ncbi.nlm.nih.gov/pubmed/37481648
http://dx.doi.org/10.1186/s12966-023-01491-5
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author Wilhite, Katrina
del Pozo Cruz, Borja
Noetel, Michael
Lonsdale, Chris
Ridgers, Nicola D.
Maher, Carol
Bradshaw, Emma
Sanders, Taren
author_facet Wilhite, Katrina
del Pozo Cruz, Borja
Noetel, Michael
Lonsdale, Chris
Ridgers, Nicola D.
Maher, Carol
Bradshaw, Emma
Sanders, Taren
author_sort Wilhite, Katrina
collection PubMed
description BACKGROUND: Combinations of movement behaviors (i.e., physical activity, sedentary behavior, sleep) are associated with health and developmental outcomes in youth. Youth vary in how they accumulate these behaviors, both in volume and specific domains (e.g., sedentary time spent on recreational screen activities vs homework). The aim of this study was to examine how youth’s combined general and domain-specific movement trajectories differ by socioeconomic position. METHODS: We conducted a longitudinal, group-based multi-trajectory analysis to identify general and domain-specific movement trajectory profiles for 2457 youth from age 10 to 14 years from the Longitudinal Study of Australian Children from 2014–2018. We used multinomial logistic regression to test if socioeconomic position predicted profile membership. RESULTS: We identified three general movement trajectory profiles for both sexes, four domain-specific profiles for males, and five for females. For general movement trajectories, females from lower socioeconomic positions were more likely to be a combination of less active and more sedentary than females from higher socioeconomic positions. Males across socioeconomic positions spend similar amounts of time in physical activity, sedentary time, and sleep. For domain-specific movement trajectories, youth from lower socioeconomic positions were likely to spend a combination of less time in education-based sedentary behavior and more time in recreational screen activities than their higher socioeconomic position peers. CONCLUSION: Our results indicate that socioeconomic position predicted in which domains youth accumulate their movements. Future observational research and interventions targeting different socioeconomic groups should therefore consider domain-specific movement trajectories. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01491-5.
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spelling pubmed-103633052023-07-24 Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years Wilhite, Katrina del Pozo Cruz, Borja Noetel, Michael Lonsdale, Chris Ridgers, Nicola D. Maher, Carol Bradshaw, Emma Sanders, Taren Int J Behav Nutr Phys Act Research BACKGROUND: Combinations of movement behaviors (i.e., physical activity, sedentary behavior, sleep) are associated with health and developmental outcomes in youth. Youth vary in how they accumulate these behaviors, both in volume and specific domains (e.g., sedentary time spent on recreational screen activities vs homework). The aim of this study was to examine how youth’s combined general and domain-specific movement trajectories differ by socioeconomic position. METHODS: We conducted a longitudinal, group-based multi-trajectory analysis to identify general and domain-specific movement trajectory profiles for 2457 youth from age 10 to 14 years from the Longitudinal Study of Australian Children from 2014–2018. We used multinomial logistic regression to test if socioeconomic position predicted profile membership. RESULTS: We identified three general movement trajectory profiles for both sexes, four domain-specific profiles for males, and five for females. For general movement trajectories, females from lower socioeconomic positions were more likely to be a combination of less active and more sedentary than females from higher socioeconomic positions. Males across socioeconomic positions spend similar amounts of time in physical activity, sedentary time, and sleep. For domain-specific movement trajectories, youth from lower socioeconomic positions were likely to spend a combination of less time in education-based sedentary behavior and more time in recreational screen activities than their higher socioeconomic position peers. CONCLUSION: Our results indicate that socioeconomic position predicted in which domains youth accumulate their movements. Future observational research and interventions targeting different socioeconomic groups should therefore consider domain-specific movement trajectories. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01491-5. BioMed Central 2023-07-22 /pmc/articles/PMC10363305/ /pubmed/37481648 http://dx.doi.org/10.1186/s12966-023-01491-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wilhite, Katrina
del Pozo Cruz, Borja
Noetel, Michael
Lonsdale, Chris
Ridgers, Nicola D.
Maher, Carol
Bradshaw, Emma
Sanders, Taren
Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
title Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
title_full Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
title_fullStr Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
title_full_unstemmed Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
title_short Socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
title_sort socioeconomic position as a predictor of youth's movement trajectory profiles between ages 10 and 14 years
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363305/
https://www.ncbi.nlm.nih.gov/pubmed/37481648
http://dx.doi.org/10.1186/s12966-023-01491-5
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