School of Health Sciences and Psychology, Federation University, Ballarat, Australia.
Institute of Sport, Exercise and Active Living, Victoria University, Melbourne, Australia.
BMC Public Health. 2018 Jun 5;18(1):692. doi: 10.1186/s12889-018-5608-1.
Regular physical activity (PA) is imperative for good health and there are many different ways that people can be active. There are a range of health, PA and sport policies aiming to get more people active more often. Much research has been directed towards understanding the determinants of inactivity and PA. However, it is important to understand the differences not only between inactive and active people, but also between activity contexts (for example participation in sport compared to non-sport activities), in order to align policies and strategies to engage market segments who have different participation preferences and accessibility. The aim of this study was to investigate demographic correlates of the propensity to be physically inactive or active within different contexts, and at different levels of frequency of participation.
Data from the Australian Exercise, Recreation and Sport Survey was used for this analysis. This included information on the type, frequency and duration of leisure-time PA for Australians aged 15 years and over. Reported PA participation in the two-week period prior to the survey was used to allocate respondents into three categories: no PA, non-sport PA only, and sport. Subsequently, sport participants were further categorised according to frequency of participation. Potential demographic correlates included sex, age, education, employment, marital status, language spoken, having a condition that restricts life, children, and socio-economic status.
The survey included 21,603 people. Bivariate chi-squared analysis showed that there were significant differences between the profiles of leisure-time PA participation across all demographic variables, except the variable languages spoken at home. Ordinal regression analysis showed that the same demographic variables were also correlated with the propensity to engage in more organised and competitive PA contexts, and to participate more frequently.
People who were female, older, married or had a disability were less likely to participate in sport. Therefore when designing PA opportunities to engage those who are inactive, particularly those that are organised by a club or group, we need to ensure that appropriate strategies are developed, and tailored sport products offered, to ensure greater opportunities for increased diversity of participation in sport.
有规律的身体活动(PA)对健康至关重要,人们可以通过多种不同的方式保持活跃。有一系列旨在让更多人更频繁地参与体育活动的健康、PA 和体育政策。已经有很多研究致力于理解不活动和 PA 的决定因素。然而,了解不仅是不活跃和活跃人群之间的差异,而且了解活动背景(例如参与体育活动与非体育活动)之间的差异也很重要,以便调整政策和策略,吸引具有不同参与偏好和可及性的细分市场。本研究旨在调查不同背景下不同频率参与的身体不活跃或活跃倾向的人口统计学相关性。
本分析使用了澳大利亚锻炼、娱乐和运动调查的数据。这些数据包括了 15 岁及以上澳大利亚人休闲时间 PA 的类型、频率和持续时间。根据调查前两周的报告 PA 参与情况,将受访者分为三类:无 PA、非运动 PA 仅和运动。随后,根据参与频率进一步对运动参与者进行分类。潜在的人口统计学相关性包括性别、年龄、教育、就业、婚姻状况、语言、限制生活的疾病、儿童和社会经济地位。
调查共包括 21603 人。双变量卡方分析显示,除在家中使用的语言变量外,所有人口统计学变量在休闲时间 PA 参与方面的特征存在显著差异。有序回归分析显示,同样的人口统计学变量也与更有组织和更具竞争力的 PA 背景参与倾向以及更频繁的参与相关。
女性、年龄较大、已婚或残疾的人不太可能参与运动。因此,在设计吸引不活跃人群参与的 PA 机会时,特别是那些由俱乐部或团体组织的机会时,我们需要确保制定适当的策略,并提供定制的运动产品,以确保更多机会增加参与运动的多样性。