Dr. Garrido-Méndez, Alex

Background: It is unknown if nutritional status could influence the accuracy of self-reported physical activity (PA) levels. Aim: To compare PA measured using the international physical activity questionnaire (IPAQ) and by accelerometry (ActiGraph) according to nutritional status in Chilean adults. Material and Methods: This is an observational cross-sectional study that used information from the GENADIO project carried out in Chile between 2009-2011. The sample consisted of 322 people. PA levels and sitting time were determined through the IPAQ self-report questionnaire and ActiGraph accelerometers (GTM1). The nutritional status was determined according to body mass index (BMI). Results: Compared with the measurement made with accelerometry, the IPAQ self-report questionnaire underestimated the levels of light PA, total PA and sedentary time in -171.5, -54.8 and -40.6 min / day, respectively. However, IPAQ overestimated the levels of moderate PA and vigorous PA in 91.0 and 47.3 min/day respectively, compared with accelerometry. Compared with normal weight, obese subjects reported higher levels of moderate PA (105.5 and 48.9 min/day, respectively) and vigorous PA (54.1 and 38.3 min/day respectively). Total PA had a greater delta of underestimation between IPAQ and accelerometer measurements in normal weight than in obese subjects (-122.1 vs -16.5 min/day, respectively). Conclusions: The measurement of PA by means of a self-report questionnaire was discrepant with its objective measurement with an accelerometer. The discrepancy is even higher in obese people.

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.