ArticleBMC public health2023
Differences in physical activity participation among young adults in Aotearoa New Zealand.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Factors associated with adherence to muscle-trengthening activity guidelines among adolescents at different educational stages in China.BMC public health · 2025Article
- Global, regional and national burden of ischaemic heart disease attributable to high body mass index and low physical activity from 1990 to 2021.Diabetes, obesity & metabolism · 2025Article
- Determinants of engagement in muscle-strengthening activities among children and adolescents: insights from a large-scale school-based study.Frontiers in public health · 2025Article
- BMI, socioeconomic status, and bone mineral density in U.S. adults: Mediation analysis in the NHANES.Frontiers in nutrition · 2023Article
- The global burden of cardiovascular diseases and type 2 diabetes attributable to low physical activity, 1990-2019: an analysis from the global burden of disease study.Frontiers in cardiovascular medicine · 2023Article
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study was to examine socio-demographic differences in physical activity (aerobic and muscle-strengthening) among young adults (18-24 years).
methodsData 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.
resultsThe 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]).
conclusionsIntersections 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.
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