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Differences in physical activity participation among young adults in Aotearoa New Zealand
BACKGROUND: The purpose of this study was to examine socio-demographic differences in physical activity (aerobic and muscle-strengthening) among young adults (18–24 years). METHODS: Data collected between 2017–2019 as a part of Sport New Zealand’s Active NZ survey were examined using logistic regres...
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/PMC9869605/ https://www.ncbi.nlm.nih.gov/pubmed/36690969 http://dx.doi.org/10.1186/s12889-023-15063-6 |
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author | Wilson, Oliver W. A. Smith, Melody Duncan, Scott Hinckson, Erica Mizdrak, Anja Richards, Justin |
author_facet | Wilson, Oliver W. A. Smith, Melody Duncan, Scott Hinckson, Erica Mizdrak, Anja Richards, Justin |
author_sort | Wilson, Oliver W. A. |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to examine socio-demographic differences in physical activity (aerobic and muscle-strengthening) among young adults (18–24 years). METHODS: Data collected between 2017–2019 as a part of Sport New Zealand’s Active NZ survey were examined using logistic regression analyses to determine the odds of participants meeting aerobic, muscle-strengthening and combined physical activity recommendations. Gender, ethnicity, employment/student status, disability status, and socio-economic deprivation were included as explanatory variables in analyses. RESULTS: The proportion of young adults meeting recommendations varied according to physical activity type (aerobic:63.2%; strength:40.1%; combined:37.2%). Young adults not employed/studying had lower odds of meeting recommendations than those full-time employed (OR = 0.43 [0.34–0.54]). Physical activity levels differ according to gender and this intersects with ethnicity, employment/student status, and social deprivation. For example, the odds of Pasifika young adults meeting combined physical activity recommendations compared to Europeans were not different (OR = 0.95 [0.76–1.19]), but when stratified by gender the odds were significantly higher for men (OR = 1.55 [1.11–2.16]) and significantly lower for women (OR = 0.64 [0.47–0.89]. Similarly, young adults in high deprivation areas had lower odds of meeting combined physical activity recommendations than those in low deprivation areas (OR = 0.81 [0.68–0.95]), but this was mainly due to the difference among women (OR = 0.68 [0.54–0.85]) as there was no difference among men (OR = 0.97 [0.76–1.25]). CONCLUSIONS: Intersections between socio-demographic characteristics should be considered when promoting physical activity among young adults in Aotearoa New Zealand, particularly young adults not employed/studying, and young women who live in deprived areas or identify as Asian or Pasifika. Tailored approaches according to activity type for each of these groups are required. |
format | Online Article Text |
id | pubmed-9869605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98696052023-01-24 Differences in physical activity participation among young adults in Aotearoa New Zealand Wilson, Oliver W. A. Smith, Melody Duncan, Scott Hinckson, Erica Mizdrak, Anja Richards, Justin BMC Public Health Research BACKGROUND: The purpose of this study was to examine socio-demographic differences in physical activity (aerobic and muscle-strengthening) among young adults (18–24 years). METHODS: Data collected between 2017–2019 as a part of Sport New Zealand’s Active NZ survey were examined using logistic regression analyses to determine the odds of participants meeting aerobic, muscle-strengthening and combined physical activity recommendations. Gender, ethnicity, employment/student status, disability status, and socio-economic deprivation were included as explanatory variables in analyses. RESULTS: The proportion of young adults meeting recommendations varied according to physical activity type (aerobic:63.2%; strength:40.1%; combined:37.2%). Young adults not employed/studying had lower odds of meeting recommendations than those full-time employed (OR = 0.43 [0.34–0.54]). Physical activity levels differ according to gender and this intersects with ethnicity, employment/student status, and social deprivation. For example, the odds of Pasifika young adults meeting combined physical activity recommendations compared to Europeans were not different (OR = 0.95 [0.76–1.19]), but when stratified by gender the odds were significantly higher for men (OR = 1.55 [1.11–2.16]) and significantly lower for women (OR = 0.64 [0.47–0.89]. Similarly, young adults in high deprivation areas had lower odds of meeting combined physical activity recommendations than those in low deprivation areas (OR = 0.81 [0.68–0.95]), but this was mainly due to the difference among women (OR = 0.68 [0.54–0.85]) as there was no difference among men (OR = 0.97 [0.76–1.25]). CONCLUSIONS: Intersections between socio-demographic characteristics should be considered when promoting physical activity among young adults in Aotearoa New Zealand, particularly young adults not employed/studying, and young women who live in deprived areas or identify as Asian or Pasifika. Tailored approaches according to activity type for each of these groups are required. BioMed Central 2023-01-23 /pmc/articles/PMC9869605/ /pubmed/36690969 http://dx.doi.org/10.1186/s12889-023-15063-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Wilson, Oliver W. A. Smith, Melody Duncan, Scott Hinckson, Erica Mizdrak, Anja Richards, Justin Differences in physical activity participation among young adults in Aotearoa New Zealand |
title | Differences in physical activity participation among young adults in Aotearoa New Zealand |
title_full | Differences in physical activity participation among young adults in Aotearoa New Zealand |
title_fullStr | Differences in physical activity participation among young adults in Aotearoa New Zealand |
title_full_unstemmed | Differences in physical activity participation among young adults in Aotearoa New Zealand |
title_short | Differences in physical activity participation among young adults in Aotearoa New Zealand |
title_sort | differences in physical activity participation among young adults in aotearoa new zealand |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869605/ https://www.ncbi.nlm.nih.gov/pubmed/36690969 http://dx.doi.org/10.1186/s12889-023-15063-6 |
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