Azagba Sunday, Sharaf Mesbah Fathy
Department of Economics, Concordia University, Montreal, Quebec, Canada and also with Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.
J Phys Act Health. 2014 Jan;11(1):99-108. doi: 10.1123/jpah.2011-0305. Epub 2012 Dec 14.
In spite of the substantial benefits of physical activity for healthy aging, older adults are considered the most physically inactive segment of the Canadian population. This paper examines leisure-time physical inactivity (LTPA) and its correlates among older Canadian adults.
We use data from the Canadian Community Health Survey with 45,265 individuals aged 50-79 years. A logistic regression is estimated and separate regressions are performed for males and females.
About 50% of older Canadian adults are physically inactive. Higher odds of physical inactivity are found among current smokers (OR = 1.52, CI = 1.37-1.69), those who binge-drink (OR = 1.24, CI = 1.11-1.39), visible minorities (OR = 1.60, CI = 1.39-1.85), immigrants (OR = 1.13, CI = 1.02-1.25), individuals with high perceived life stress (OR = 1.48, CI = 1.31-1.66). We also find lower odds of physical inactivity among: males (OR = 0.89, CI = 0.83 to 0.96), those with strong social interaction (OR = 0.71, CI = 0.66-0.77), with general life satisfaction (OR = 0.66, CI = 0.58-0.76) and individuals with more education. Similar results are obtained from separate regressions for males and females.
Identifying the correlates of LTPA among older adults can inform useful intervention measures.
尽管体育活动对健康老龄化有诸多益处，但老年人被认为是加拿大人口中身体活动最少的群体。本文研究了加拿大老年人的休闲时间身体不活动情况及其相关因素。
我们使用了加拿大社区健康调查的数据，样本包括45265名年龄在50 - 79岁之间的个体。进行了逻辑回归分析，并分别对男性和女性进行了回归。
约50%的加拿大老年人身体不活动。当前吸烟者（比值比[OR]=1.52，置信区间[CI]=1.37 - 1.69）、暴饮者（OR = 1.24，CI = 1.11 - 1.39）、少数族裔（OR = 1.60，CI = 1.39 - 1.85）、移民（OR = 1.13，CI = 1.02 - 1.25）以及感知生活压力大的个体（OR = 1.48，CI = 1.31 - 1.66）身体不活动的几率更高。我们还发现，男性（OR = 0.89，CI = 0.83至0.96）、社交互动强的人（OR = 0.71，CI = 0.66 - 0.77）、对生活总体满意的人（OR = 0.66，CI = 0.58 - 0.76）以及受教育程度较高的个体身体不活动的几率较低。对男性和女性分别进行回归分析得到了类似的结果。
确定老年人休闲时间身体不活动的相关因素可为有效的干预措施提供依据。
