Te Hau Kori, Faculty of Health, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand.
School of Nursing, Faculty of Medical and Health Sciences, the University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
BMC Public Health. 2023 Jan 23;23(1):150. doi: 10.1186/s12889-023-15063-6.
The purpose of this study was to examine socio-demographic differences in physical activity (aerobic and muscle-strengthening) among young adults (18-24 years).
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.
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]).
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.
本研究旨在探讨社会人口统计学因素在年轻人(18-24 岁)体力活动(有氧运动和肌肉强化)中的差异。
本研究使用逻辑回归分析对 2017-2019 年新西兰体育组织的“活跃新西兰”调查中收集的数据进行了检查,以确定参与者符合有氧运动、肌肉强化和综合体力活动建议的几率。在分析中,性别、种族、就业/学生身份、残疾状况和社会经济贫困状况被纳入解释变量。
根据体力活动类型(有氧运动:63.2%;力量:40.1%;综合:37.2%),符合建议的年轻人比例有所不同。与全职就业者相比,未就业/未学生的年轻人符合建议的几率较低(OR=0.43 [0.34-0.54])。根据性别不同,体力活动水平也有所不同,而且这种差异与种族、就业/学生身份和社会贫困程度相交。例如,与欧洲人相比,太平洋岛裔年轻人符合综合体力活动建议的几率没有差异(OR=0.95 [0.76-1.19]),但按性别分层,男性的几率明显更高(OR=1.55 [1.11-2.16]),女性的几率明显更低(OR=0.64 [0.47-0.89])。同样,高贫困地区的年轻人符合综合体力活动建议的几率低于低贫困地区(OR=0.81 [0.68-0.95]),但这主要是由于女性之间的差异(OR=0.68 [0.54-0.85]),因为男性之间没有差异(OR=0.97 [0.76-1.25])。
在新西兰奥塔哥促进年轻人的体力活动时,应该考虑社会人口统计学特征的交叉因素,特别是未就业/未学生的年轻人,以及居住在贫困地区或自认为是亚洲人或太平洋岛民的年轻女性。需要根据这些群体的活动类型制定针对性的方法。