Dr. Poblete-Valderrama, Felipe

Few studies have shown evidence about the factors that can determine physical practice in women over 60 years of age due to educational, economic, social, or health inequalities. Its knowledge could help to understand the determinants that encourage the practice of physical activity and the improvement of health in women over 60. Therefore, the aim of this research was to evaluate the level of studies, income, and the usefulness of social and health services in physically active older women according to the level of activity they practice. The IPAQ (International Physical Activity Questionnaire) and CUBRECAVI (subjective health scale) scales have been applied to a sample of 257 women between 61 and 93 years old (M = 69.44, SD = 4.61). The results have shown that those with vigorous physical activity are related to higher levels of education (p < 0.001) and income (p = 0.004). Furthermore, being dissatisfied with social and health services is associated with low levels of physical activity (p = 0.005). Older women who perform physical activity regularly are associated with high levels in some of the socio-environmental aspects of quality of life. High physical activity is related to a higher educational level and income. Socio-environmental factors generate social inequalities and modulate the lifestyles of older women.

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.

The factors that make physically active older people feel more satisfied in adulthood have not been extensively studied. For this reason, the aim of this work has been to evaluate, among physically active older adults, whether the level of physical activity they perform and the factors that foster their quality of life can be predictors of their satisfaction with life. For this, the IPAQ, CUBRECAVI and LSI-A scales were applied to a sample of 397 people between 61 and 93 years old (M = 69.65, SD = 4.71). The results show that health (β = 0.373), functional abilities (β = 0.159) and environmental quality (β = 0.105) are predictors of satisfaction in the most active adults. In conclusion, neither physical activity (to a greater or lesser extent) nor income are predictive variables of satisfaction with life but, rather, predict some of the components that cement their quality of life (health, fending for themselves and the home environment).

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.