Atkinson Kaitlin, Lowe Samantha, Moore Spencer
Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada; School of Kinesiology & Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
School of Kinesiology & Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Prev Med Rep. 2015 Dec 4;3:40-5. doi: 10.1016/j.pmedr.2015.11.009. eCollection 2016 Jun.
This study aimed to (a) assess the relationship between a person's occupational category and their physical inactivity, and (b) analyze the association among country-level variables and physical inactivity. The World Health Survey (WHS) was administered in 2002-2003 among 47 low- and middle-income countries (n = 196,742). The International Physical Activity Questionnaire (IPAQ) was used to collect verbal reports of physical activity and convert responses into measures of physical inactivity. Economic development (GDP/c), degree of urbanization, and the Human Development Index (HDI) were used to measure country-level variables and physical inactivity. Multilevel logistic regression analysis was used to examine the association among country-level factors, individual occupational status, and physical inactivity. Overall, the worldwide prevalence of physical inactivity in 2002-2003 was 23.7%. Individuals working in the white-collar industry compared to agriculture were 84% more likely to be physically inactive (OR: 1.84, CI: 1.73-1.95). Among low- and middle-income countries increased HDI values were associated with decreased levels of physical inactivity (OR: 0.98, CI: 0.97-0.99). This study is one of the first to adjust for within-country differences, specifically occupation while analyzing physical inactivity. As countries experience economic development, changes are also seen in their occupational structure, which result in increased countrywide physical inactivity levels.
(a)评估一个人的职业类别与其身体活动不足之间的关系;(b)分析国家层面变量与身体活动不足之间的关联。2002 - 2003年,在47个低收入和中等收入国家(n = 196,742)开展了世界卫生调查(WHS)。国际体力活动问卷(IPAQ)用于收集体力活动的口头报告,并将回答转换为身体活动不足的衡量指标。经济发展(人均国内生产总值)、城市化程度和人类发展指数(HDI)用于衡量国家层面变量和身体活动不足情况。采用多水平逻辑回归分析来检验国家层面因素、个体职业状况与身体活动不足之间的关联。总体而言,2002 - 2003年全球身体活动不足的患病率为23.7%。与从事农业工作的个体相比,从事白领行业的个体身体活动不足的可能性要高84%(比值比:1.84,置信区间:1.73 - 1.95)。在低收入和中等收入国家中,人类发展指数值的增加与身体活动不足水平的降低相关(比值比:0.98,置信区间:0.97 - 0.99)。本研究是首批在分析身体活动不足时对国内差异(特别是职业差异)进行校正的研究之一。随着各国经历经济发展,其职业结构也会发生变化,这导致全国范围内身体活动不足水平上升。