Del Duca Giovâni F, Garcia Leandro Martin Totaro, da Silva Shana Ginar, da Silva Kelly Samara, Oliveira Elusa S, Barros Mauro V, Nahas Markus V
School of Physical Education, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
J Phys Act Health. 2015 Sep;12(9):1264-71. doi: 10.1123/jpah.2014-0309. Epub 2014 Dec 10.
Physical inactivity in each domain (leisure, work, commuting, and household) is not completely independent. This study aimed to describe the clustering of physical inactivity in different domains and its association with sociodemographic factors among Brazilian industrial workers.
This was a cross-sectional, population-based study using data from 23 Brazilian states and the Federal District collected via questionnaires between 2006 and 2008. Physical inactivity in each domain was defined as nonparticipation in specific physical activities. Clustering of physical inactivity was identified using the ratio of the observed (O) and expected (E) percentages of each combination. Multinomial logistic regression was used to identify sociodemographic factors with the outcome.
Among the 44,477 interviewees, most combinations exceeded expectations, particularly the clustering of physical inactivity in all domains among men (O/E = 1.37; 95% CI: 1.30; 1.44) and women (O/E = 1.47; 95% CI: 1.36; 1.60). Physical inactivity in 2 or more domains was observed more frequently in women, older age groups, individuals living without a partner, and those with higher education and income levels.
Physical inactivity tends to be observed in clusters regardless of gender. Women and workers with higher income levels were the main factors associated with to be physically inactive in 2 or more domains.
各个领域（休闲、工作、通勤和家务）的身体活动不足并非完全独立。本研究旨在描述巴西产业工人在不同领域身体活动不足的聚集情况及其与社会人口学因素的关联。
这是一项基于人群的横断面研究，使用了2006年至2008年期间通过问卷调查从巴西23个州和联邦区收集的数据。每个领域的身体活动不足定义为不参与特定的体育活动。使用每种组合的观察百分比（O）与预期百分比（E）的比率来确定身体活动不足的聚集情况。采用多项逻辑回归来确定与结果相关的社会人口学因素。
在44477名受访者中，大多数组合超过预期，尤其是男性（O/E = 1.37；95%CI：1.30；1.44）和女性（O/E = 1.47；95%CI：1.36；1.60）在所有领域的身体活动不足聚集情况。在女性、年龄较大的群体、没有伴侣的个体以及教育和收入水平较高的人群中，在两个或更多领域存在身体活动不足的情况更为常见。
无论性别如何，身体活动不足往往呈聚集现象。女性和收入水平较高的工人是在两个或更多领域身体活动不足的主要相关因素。
