Dr. Garrido-Méndez, Alex

Background: A higher educational level is associated with healthier lifestyles. Aim: To assess the association between the level of compliance with physical activity recommendations and years of formal education in Chilean adults. Material and Methods: Analysis include 6,174 participants from the National Health Survey 2016-2017. Physical activity levels were assessed through the Global Physical Questionnaire (GPAQ v2). Physical inactivity was defined as < 600 MET/minute/week. Results: Among subjects without education, 44% and 27% of women and men respectively, were physically inactive. Among women and men with the highest number of years of education (> 16) the figures for physical inactivity were 27% and 15% respectively. The odds for not meeting the physical activity recommendations was 2.3 [95% confidence intervals (CI): 1.57; 3.38] and 3.9 [95% CI: 2.27; 6.95] in women and men without any formal education respectively, as compared with those who reported 12 years of education. Women and men who reported a high level of education ≥ (16 years) did not show significant differences compared to the reference group. Conclusions: People with low levels of education are were likely to be physically inactive.

Introduction: The objective of this study was to investigate levels of self-reported active commuting by socio-demographics factors in Chile. Methods: This cross-sectional study was conducted in 5,157 participants (women: 59.3%, age range 15–101 years) from the Chilean National Health Survey (CNHS) 2009–2010. The Global Physical Activity Questionnaire (GPAQ v2) was utilised to measure frequency and time spent in active commuting (walking or cycling). In addition, age, sex, education, place of residence, income and occupation were used as socio-demographics factors of interest. Results: 31.9% [95% Confidence Interval (CI): 29.7; 34.2] of the population reported not doing any form of active commuting, this prevalence was higher in women than men (34.0% vs. 29.7%), in older (≥65y) than younger individuals (≤24y) (44.1% vs. 24.4%), in individuals with lower education compared to higher education (38.4% vs. 28.2) and in retired individuals than in those who were employed (46.0% vs. 31.2%). Being a non-active commuter was associated with a higher prevalence of physical inactivity (OR: 11.1 [95% CI: 8.27; 14.8], p < 0.0001). Similar findings were observed when analyses were stratified by socio-demographics factors. Conclusions: Our findings show that prevalence and levels of active commuting differ by sociodemographic factors. In addition, our results provide evidence that commuting physical activity is an important domain that contribute to achieving the physical activity guidelines. Individuals who do not engage in active commuting presented a higher prevalence of physical inactivity.