Graduate Program in Physical Education, Federal University of Santa Catarina, Florianopolis, Brazil.
Public Health. 2013 Jun;127(6):530-7. doi: 10.1016/j.puhe.2013.02.013. Epub 2013 May 22.
To identify the clustering of physical inactivity in leisure, work, commuting and household contexts, and the sociodemographic factors associated with the clustering of inactive behaviour in different domains among Brazilian adults.
Cross-sectional population-based study.
The study was performed in Florianopolis, capital of Santa Catarina, one of the southern states of Brazil, from September 2009 to January 2010. Adults aged 20-59 years were interviewed. Physical inactivity in each domain was defined as non-participation in specific physical activities, using a validated Brazilian questionnaire. Clustering of physical inactivity was identified by the ratio between observed prevalence and expected prevalence of 16 different combinations. Multinomial logistic regression was used in the analysis of sociodemographic factors associated with clustering of physical inactivity.
Of the 1720 interviewees, the greatest differences between the observed and expected proportions were observed in simultaneous physical inactivity in the leisure and household domains for men, and physical inactivity in the leisure domain alone for women (59% and 88%, respectively); these differences were higher than expected if the behaviours were independent. Physical inactivity in two or more domains was observed more frequently in men and in individuals with a higher per-capita family income. Ageing was associated with physical inactivity in three or four domains.
Physical inactivity was observed in different domains according to gender. Men and older individuals with a higher per-capita family income were more likely to exhibit physical inactivity when all domains were considered together.
确定在休闲、工作、通勤和家庭环境中身体活动不足的聚类,以及与巴西成年人不同领域中不活跃行为聚类相关的社会人口因素。
横断面基于人群的研究。
该研究于 2009 年 9 月至 2010 年 1 月在巴西南部圣卡塔琳娜州首府弗洛里亚诺波利斯进行。对 20-59 岁的成年人进行了访谈。每个领域的身体活动不足被定义为不参与特定的体育活动,使用经过验证的巴西问卷。通过观察到的流行率与 16 种不同组合的预期流行率之间的比率来确定身体活动不足的聚类。使用多项逻辑回归分析与身体活动不足聚类相关的社会人口因素。
在 1720 名受访者中,男性在休闲和家庭领域同时身体活动不足,女性仅在休闲领域身体活动不足的观察到的比例与预期比例之间的差异最大(分别为 59%和 88%);如果这些行为是独立的,这些差异比预期的要高。在两个或更多领域观察到身体活动不足的情况在男性和家庭人均收入较高的个体中更为常见。随着年龄的增长,在三个或四个领域观察到身体活动不足。
根据性别,在不同领域观察到身体活动不足。当考虑所有领域时,男性和家庭人均收入较高的年龄较大的个体更有可能表现出身体活动不足。