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Gender differences in the distribution of children’s physical activity: evidence from nine countries
BACKGROUND: Physical activity in childhood is thought to influences health and development. Previous studies have found that boys are typically more active than girls, yet the focus has largely been on differences in average levels or proportions above a threshold rather than the full distribution o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478357/ https://www.ncbi.nlm.nih.gov/pubmed/37667391 http://dx.doi.org/10.1186/s12966-023-01496-0 |
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author | Kretschmer, Luke Salali, Gul Deniz Andersen, Lars Bo Hallal, Pedro C. Northstone, Kate Sardinha, Luís B. Dyble, Mark Bann, David |
author_facet | Kretschmer, Luke Salali, Gul Deniz Andersen, Lars Bo Hallal, Pedro C. Northstone, Kate Sardinha, Luís B. Dyble, Mark Bann, David |
author_sort | Kretschmer, Luke |
collection | PubMed |
description | BACKGROUND: Physical activity in childhood is thought to influences health and development. Previous studies have found that boys are typically more active than girls, yet the focus has largely been on differences in average levels or proportions above a threshold rather than the full distribution of activity across all intensities. We thus examined differences in the distribution of physical activity between girls and boys in a multi-national sample of children. METHODS: We used the harmonised International Children Accelerometry Database (ICAD), including waist-worn accelerometry data from 15,461 individuals (Boys: 48.3%) from 9 countries. Employing Generalised Additive Models of Location, Shape, and Scale (GAMLSS) we investigated gender differences in the distribution of individuals, including comparisons of variability (SD) and average physical activity levels (mean and median) and skewness. We conducted this analysis for each activity intensity (Sedentary, Light, and Moderate-to-Vigorous (MVPA)) and a summary measure (counts per minute (CPM)). RESULTS: Sizable gender differences in the distribution of activity were found for moderate to vigorous activity and counts per minute, with boys having higher average levels (38% higher mean volumes of MVPA, 20% higher CPM), yet substantially more between-person variability (30% higher standard deviation (SD) for MVPA, 17% higher SD for CPM); boys’ distributions were less positively skewed than girls. Conversely, there was little to no difference between girls and boys in the distribution of sedentary or light-intensity activity. CONCLUSIONS: Inequality in activity between girls and boys was driven by MVPA. The higher mean volumes of MVPA in boys occurred alongside greater variability. This suggests a need to consider the underlying distribution of activity in future research; for example, interventions which target gender inequality in MVPA may inadvertently lead to increased inequality within girls. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01496-0. |
format | Online Article Text |
id | pubmed-10478357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104783572023-09-06 Gender differences in the distribution of children’s physical activity: evidence from nine countries Kretschmer, Luke Salali, Gul Deniz Andersen, Lars Bo Hallal, Pedro C. Northstone, Kate Sardinha, Luís B. Dyble, Mark Bann, David Int J Behav Nutr Phys Act Research BACKGROUND: Physical activity in childhood is thought to influences health and development. Previous studies have found that boys are typically more active than girls, yet the focus has largely been on differences in average levels or proportions above a threshold rather than the full distribution of activity across all intensities. We thus examined differences in the distribution of physical activity between girls and boys in a multi-national sample of children. METHODS: We used the harmonised International Children Accelerometry Database (ICAD), including waist-worn accelerometry data from 15,461 individuals (Boys: 48.3%) from 9 countries. Employing Generalised Additive Models of Location, Shape, and Scale (GAMLSS) we investigated gender differences in the distribution of individuals, including comparisons of variability (SD) and average physical activity levels (mean and median) and skewness. We conducted this analysis for each activity intensity (Sedentary, Light, and Moderate-to-Vigorous (MVPA)) and a summary measure (counts per minute (CPM)). RESULTS: Sizable gender differences in the distribution of activity were found for moderate to vigorous activity and counts per minute, with boys having higher average levels (38% higher mean volumes of MVPA, 20% higher CPM), yet substantially more between-person variability (30% higher standard deviation (SD) for MVPA, 17% higher SD for CPM); boys’ distributions were less positively skewed than girls. Conversely, there was little to no difference between girls and boys in the distribution of sedentary or light-intensity activity. CONCLUSIONS: Inequality in activity between girls and boys was driven by MVPA. The higher mean volumes of MVPA in boys occurred alongside greater variability. This suggests a need to consider the underlying distribution of activity in future research; for example, interventions which target gender inequality in MVPA may inadvertently lead to increased inequality within girls. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01496-0. BioMed Central 2023-09-04 /pmc/articles/PMC10478357/ /pubmed/37667391 http://dx.doi.org/10.1186/s12966-023-01496-0 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 Kretschmer, Luke Salali, Gul Deniz Andersen, Lars Bo Hallal, Pedro C. Northstone, Kate Sardinha, Luís B. Dyble, Mark Bann, David Gender differences in the distribution of children’s physical activity: evidence from nine countries |
title | Gender differences in the distribution of children’s physical activity: evidence from nine countries |
title_full | Gender differences in the distribution of children’s physical activity: evidence from nine countries |
title_fullStr | Gender differences in the distribution of children’s physical activity: evidence from nine countries |
title_full_unstemmed | Gender differences in the distribution of children’s physical activity: evidence from nine countries |
title_short | Gender differences in the distribution of children’s physical activity: evidence from nine countries |
title_sort | gender differences in the distribution of children’s physical activity: evidence from nine countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478357/ https://www.ncbi.nlm.nih.gov/pubmed/37667391 http://dx.doi.org/10.1186/s12966-023-01496-0 |
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