Differences in physical activity participation among young adults in Aotearoa New Zealand

Abstract

Abstract 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.

Keywords

• Exercise
• Health
• Gender
• Ethnicity
• Disability
• Socio-economic status