Dr. Poblete-Valderrama, Felipe

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).

Background: The Chilean population reports high levels of physical inactivity. The relationship between income level, physical activity (PA) and sedentary behaviors is not well known. Aim: To describe the levels of PA and sedentary time, according to income levels in the Chilean population. Material and Methods: Analysis of data from the Chilean National Health Survey 2016-2017, which included 5,130 participants (52.9% women). The levels of PA and sedentary time were measured by the Global Physical Activity Questionnaire. Income levels were established according to the self-reported income per capita of the households and presented as quintiles. PA levels according to income levels were estimated by linear regression analyses. Results: Transport-related PA was higher in the lowest income quintiles (p = 0.039). There were no trends for income levels and PA domains including moderate, vigorous, total, occupational and leisure PA. The prevalence of leisure and occupational physical inactivities were higher in the lowest quintiles of income. Sitting time was higher in the higher income levels (p < 0.01). Conclusions: People in the lowest quintile for income spent more time in transport-related PA and less time sitting. However, physical inactivity prevalence during leisure and work time were higher in people with lower income.