Sociodemographic Associations of Physical Activity in People of Working Age

Abstract

The aim of this study was to identify relationships between the physical activity and sociodemographic status of respondents aged 18–64 years. The research was conducted in 2014 and 2015 in Wrocław, Poland. The study group comprised 4460 people. The sample selection was random and stratified. The research tool was the International Physical Activity Questionnaire—Short Form. Levels of physical activity declared by respondents were compared with the recommendations of the American College of Sports Medicine (ACSM). Data on respondents’ sociodemographic status was also obtained. The Mann–Whitney U test for samples, Kruskal–Wallis test by ranks, and total and binary logistic regression were used in statistical analysis. Among the respondents, the ACSM health recommendations were met by 43.7% in total (43.2% women and 44.3% men). All analyzed sociodemographic variables differentiated respondents’ physical activity. The youngest respondents were found to be the most physically active. Wrocław residents with a secondary education declared the highest level of physical activity. Among the respondents, manual workers revealed the highest, and the unemployed the lowest odds of meeting the ACSM standards of health-related physical activity. The level of physical activity of unmarried respondents was higher than that of married respondents. The highest percentage of respondents (50.9% women and 54.2% men) with sufficient physical activity levels was found among people living alone. Measures aimed at reducing hypokinesia should be addressed primarily in vulnerable groups, i.e., the unemployed and oldest men.

The status of health promotion lifestyle and its related factors in Shandong Province, China

“…Thanks to its convenience, low cost and social function, square dancing has enabled Chinese women to get physical activity and spiritual satisfaction after work and housework [ 46 ]. Consistent with many previous studies [ 47 – 49 ], the results of the data analyses show that unmarried or divorced individuals are more likely to engage in physical activity than their married counterparts. In addition to work, married people take more family-oriented economic responsibilities and the responsibility of raising children.…”

Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors

“… 84 Similarly, physical activity was shown to be related to sociodemographic variables such as age, unemployment and income status. 85 , 86 …”

Adherence to a healthy lifestyle of the Russian population depending on the socio-demographics

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