3 resultados para Leisure activity

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Objectives: Associations of leisure-time physical activity (LTPA), commuting and total physical activity with inflammatory markers, insulin resistance and metabolic profile in individuals at high cardiometabolic risk were investigated. Design: This was a cross-sectional study. Methods: A total of 193 prediabetic adults were compared according to physical activity levels measured by the international physical activity questionnaire; p for trend and logistic regression was employed. Results: The most active subset showed lower BMI and abdominal circumference, reaching significance only for LTPA (p for trend = 0.02). Lipid profile improved with increased physical activity levels. Interleukin-6 decreased with increased total physical activity and LTPA (p for trend = 0.02 and 0.03, respectively), while adiponectin increased in more active subsets for LTPA (p for trend = 0.03). Elevation in adjusted OR for hypercholesterolemia was significant for lower LTPA durations (p for trend = 0.04). High apolipoprotein B/apolipoprotein A ratio was inversely associated with LTPA, commuting and total physical activity. Increase in adjusted OR for insulin resistance was found from the highest to the lowest category of LTPA (p for trend = 0.04) but significance disappeared after adjustments for BMI and energy intake. No association of increased C-reactive protein with physical activity domains was observed. Conclusions: In general, the associations of LTPA, but not commuting or total physical activity, with markers of cardiometabolic risk reinforces the importance of initiatives to increase this domain in programs for the prevention of lifestyle-related diseases. (C) 2012 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

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Background: Although hospitalization is recognized as an important cause of reduction in physical activity in daily life (PADL) in COPD, there is only one study evaluating this effect, and it was performed in European COPD patients who have a lower PADL than that of South American COPD patients. Objectives: To investigate the effect of hospitalization due to acute exacerbation of PADL in Brazilian COPD patients and to evaluate the factors that determines the physical activity levels during hospitalization and after discharge. Methods: PADL was quantified using a 3-axis accelerometer on the 3rd day of hospitalization and 1 month after discharge in Brazilian COPD patients who were hospitalized due to disease exacerbation. Six-minute walking distance (6MWD), lower limb strength and pulmonary function were also evaluated. Results: A total of 20 patients completed the study. During hospitalization, patients spent most of the time (87%) lying down or sitting; however, 1 month after they were walking >40 min/day. In addition, patients with prior hospitalization had a lower level of physical activity compared to those without a previous history of hospitalization. The time spent walking during hospitalization was significantly explained by the quadriceps strength (r(2) = 0.29; p < 0.05), while 1 month after, the time spent walking was only significantly explained by the 6MWD (r(2) = 0.51; p = 0.02). Conclusions: Brazilian COPD patients are inactive during hospitalization but become active 1 month after discharge. Previously hospitalized are more inactive both during and after exacerbation. The quadriceps strength and 6MWD explain the physical activity levels during hospitalization and at home, respectively.

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Blood pressure (BP) and physical activity (PA) levels are inversely associated. Since genetic factors account for the observed variation in each of these traits, it is possible that part of their association may be related to common genetic and/or environmental influences. Thus, this study was designed to estimate the genetic and environmental correlations of BP and PA phenotypes in nuclear families from Muzambinho, Brazil. Families including 236 offspring (6 to 24 years) and their 82 fathers and 122 mothers (24 to 65 years) were evaluated. BP was measured, and total PA (TPA) was assessed by an interview (commuting, occupational, leisure time, and school time PA). Quantitative genetic modeling was used to estimate maximal heritability (h²), and genetic and environmental correlations. Heritability was significant for all phenotypes (systolic BP: h² = 0.37 ± 0.10, P < 0.05; diastolic BP: h² = 0.39 ± 0.09, P < 0.05; TPA: h² = 0.24 ± 0.09, P < 0.05). Significant genetic (r g) and environmental (r e) correlations were detected between systolic and diastolic BP (r g = 0.67 ± 0.12 and r e = 0.48 ± 0.08, P < 0.05). Genetic correlations between BP and TPA were not significant, while a tendency to an environmental cross-trait correlation was found between diastolic BP and TPA (r e = -0.18 ± 0.09, P = 0.057). In conclusion, BP and PA are under genetic influences. Systolic and diastolic BP share common genes and environmental influences. Diastolic BP and TPA are probably under similar environmental influences.