Weiss Deborah R, O'Loughlin Jennifer L, Platt Robert W, Paradis Gilles
Centre for Clinical Epidemiology and Community Studies, Jewish General Hospital, Montréal, Québec, Canada.
Int J Behav Nutr Phys Act. 2007 Jan 18;4:2. doi: 10.1186/1479-5868-4-2.
Obesity in North America is now endemic, and increased understanding of the determinants of physical inactivity is critical. This analysis identified predictors of declines in physical activity over 5 years among adults in low-income, inner-city neighbourhoods.
Data on leisure time physical activity were collected in telephone interviews in 1992 and 1997 from 765 adults (47% of baseline respondents), as part of the evaluation of a community-based cardiovascular disease risk reduction program.
One-third of 527 participants who were physically active at baseline, were inactive in 1997. Predictors of becoming inactive included female sex (OR = 1.63 95% CI (1.09, 2.43)), older age (1.02 (1.01, 1.04)), higher BMI (1.57 (1.03, 2.40)), poor self-rated health (1.39 (1.05, 1.84)), lower self-efficacy for physical activity (1.46 (1.00, 2.14)), and not using a neighborhood facility for physical activity (1.61 (1.02, 2.14)).
These results highlight the fact that a variety of variables play a role in determining activity level, from demographic variables such as age and sex, to psychosocial and environmental variables. In addition, these results highlight the important role that other health-related variables may play in predicting physical activity level, in particular the observed association between baseline BMI and the increased risk of becoming inactive over time. Lastly, these results demonstrate the need for multi-component interventions in low-income communities, which target a range of issues, from psychosocial factors, to features of the physical environment.
肥胖在北美已呈流行态势,深入了解身体活动不足的决定因素至关重要。本分析确定了低收入内城区成年人在5年期间身体活动减少的预测因素。
作为一项基于社区的心血管疾病风险降低项目评估的一部分,1992年和1997年通过电话访谈收集了765名成年人(占基线受访者的47%)的休闲时间身体活动数据。
在基线时身体活动的527名参与者中,三分之一在1997年变得不活动。变得不活动的预测因素包括女性(比值比=1.63,95%置信区间(1.09,2.43))、年龄较大(1.02(1.01,1.04))、体重指数较高(1.57(1.03,2.40))、自我健康评价较差(1.39(1.05,1.84))、身体活动自我效能较低(1.46(1.00,2.14))以及未使用社区体育设施(1.61(1.02,2.14))。
这些结果凸显了这样一个事实,即从年龄和性别等人口统计学变量到心理社会和环境变量等多种变量在决定活动水平方面都发挥着作用。此外,这些结果凸显了其他与健康相关的变量在预测身体活动水平方面可能发挥的重要作用,特别是观察到的基线体重指数与随着时间推移变得不活动的风险增加之间的关联。最后,这些结果表明低收入社区需要采取多成分干预措施,这些措施针对一系列问题,从心理社会因素到物理环境特征。