![]() In the last two decades, social disparities have risen across the EU, changing health-related behaviours among the population in complex and causal relationships (Huijts et al. Social, political, and cultural factors determine lifestyle behaviours, living conditions, and individual wellbeing, ultimately affecting health (Bauman et al. Lifestyle behaviours, such as PA, could be influenced by attributes such as age, gender, social class, educational level, employment, income, resident place, and social support, among others (Denman 1998). Because of this, physical inactivity has been declared a global pandemic and a serious public health issue worldwide (Kohl et al. 2018) in 2016, the inactivity prevalence continues to rise, and the 27.5% of adults worldwide were classified as inactive. Nonetheless, worldwide PA prevalence-the population proportion that meets the WHO’s PA recommendations-is widely heterogeneous and has diminished across the years: in 2010, 23% of adults aged 18–65 were considered inactive (Rhodes et al. Thus, the World Health Organization (WHO) established global PA recommendations in order to assess, monitor, and promote an active lifestyle in the overall population (World Health Organization 2010). Physical activity (PA) practice has been demonstrated have benefits for population health (Rhodes et al. Public health institutions should implement strategies on more influential PA barriers and disadvantaged social groups. Social class is a relevant factor for low PA, with more barriers in the lower social classes. In the inactive population, the low social class had mostly higher odds to report each barrier. Also, the low (OR 0.52 95% CI 0.47–0.58) and middle (OR 0.71 95% CI 0.64–0.79) social classes were less likely to be active compared to high social class. Low social class presented higher inactivity prevalence (43.11%), whilst the high social class reported the lowest prevalence (23.30%). Logistic regressions were run in the inactive population to show the social class effect on each barrier adjusted by sociodemographic factors employing a propensity score matched method. ![]() PA prevalence was calculated along with the probability to be physically inactive by social stratification. Methodsĭata were retrieved from Eurobarometer 88.4, a cross-sectional survey conducted in 2017 with 28,031 over 15-year-old inhabitants of the European Union. To analyse relationships of social stratification on physical activity (PA) prevalence and barriers in the European population.
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