ABSTRACT
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.
Subject(s)
Humans , Exercise , Nutritional Status , Chile , Cross-Sectional Studies , Surveys and Questionnaires , Self Report , Motor ActivityABSTRACT
Background: Healthy lifestyles are associated with a better metabolic and cardiovascular health profile. Aim: To investigate the association between a lifestyle score and cardiovascular risk in Chilean adults. Material and Methods: A healthy lifestyle score was derived for 2,774 participants in the Chilean National Health Survey 2009-2010 and based on seven modifiable behaviors (salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviors). A high score represented a healthier lifestyle whereas a low score represents an unhealthy lifestyle. The association between the lifestyle score and cardiovascular risk factors (obesity, hypertension, diabetes, dyslipidemia and metabolic syndrome), was explored using logistic regression models. Results: One quartile increment in the healthy lifestyle score was associated with a lower risk for obesity (Odds ratio (OR): 0.82 [95% confidence intervals (CI): 0.75 to 0.90], p < 0.01), central obesity (OR: 0.88 [95% CI: 0.81 to 0.96], p < 0.01), diabetes (OR: 0.84 [95% CI: 0.75 to 0.95], p < 0.04) and dyslipidemia (OR: 0.90 [95% CI: 0.83 to 0.98], p = 0.01). These results were independent of major confounding factors. Conclusions: The adherence to a healthy lifestyle is associated with lower cardiovascular risk.
Subject(s)
Humans , Male , Female , Middle Aged , Aged , Cardiovascular Diseases/epidemiology , Metabolic Syndrome/epidemiology , Healthy Lifestyle , Obesity/epidemiology , Socioeconomic Factors , Cardiovascular Diseases/etiology , Chile/epidemiology , Risk Factors , Motor ActivityABSTRACT
Background: Although cardiovascular risk factors are associated with an impaired cognitive function, the impact of diabetes on cognitive function in Chilean adults is unknown. Aim: To investigate the association of diabetes or family history of the disease with cognitive impairment in older adults. Materials and Methods: Data from the 2009-2010 Chilean National Health Survey including 1,384 participants aged ≥ 60 years were included in this study. A score below 13 points for the Mini Mental State Examination (MMSE) was considered an indication of cognitive impairment. Logistic regression analyses were performed to assess the association between MMSE, diabetes and family history of the disease. Results: Cognitive impairment increased with age (Odds ratio (OR): 1.83 [95% confidence intervals (CI): 1.53; 2.19], p < 0.01, per 5 years increment in age). This trend was greater in individuals with diabetes (OR: 2.37 [95% CI: 1.68; 3.35], p < 0.01) compared to those without the disease. A similar trend was identified among individuals with a family history of diabetes compared to those without. Conclusions: Older adults with diabetes are more susceptible to develop cognitive impairment.