Objective: To analyze the possible dose-response association between components of sports participation (intensity, volume and previous engagement) and 4-year mortality rates among Brazilian adults.
Methods: 679 males and females (mean age among men = 66.7 ± 9.3 years old and mean age among women = 64.8 ± 8.9 years old) composed the study sample. Sports participation was assessed using Baecke’s questionnaire, which considers intensity, duration and previous engagement. Medical records were used to identify the cause of the death. Cox regression analysis was performed to determine the independent associations of exercise components and mortality.
Results: Participants that reported exercising at moderate-vigorous intensity (Moderate/vigorous: 4.1% versus None/light: 10.3% [p-value = 0.012]; HR = 0.42 [0.1 to 0.94)] and for more than four months (≥4 months: 5.3% versus <4 months: 10.2% [p-value = 0.038]; HR = 0.47 [0.24 to 0.94]) had lower mortality risk. The percentage of survival according to all-cause mortality was significantly higher for participants engaged in sports at moderate-vigorous intensity (p-value = 0.014), as well as for those engaged in sports for periods superior than four months (p-value = 0.036).
Conclusion: We found higher percentage of survival among adults engaged in sports at moderate-vigorous intensity and with at least four months of previous engagement. 相似文献
Abstract A poor physical condition – expressed as physical inactivity and poor physical fitness – is associated with the development of chronic diseases and premature death. Our aim was to evaluate the methods currently available for measuring physical activity and physical fitness in the general population. Physical activity is determined by duration, frequency, and intensity and derives from many different domains, making it difficult to assess over long periods and no feasible general criterion measure exists. Both objective and subjective methods are available. Of the objective methods, accelerometry is the most attractive technology, and is well enough developed for general use in large populations. The advantage of accelerometry is that it is not dependent on the memory of the individual, but its main disadvantage is that it grossly underestimates energy expenditure, due to the lack of registration of certain activities. This may be overcome to a certain extent by combining accelerometry with heart rate monitoring, although this still does not measure activity in different domains. Of the subjective methods, self-report questionnaires are inexpensive and easy to administer. Many questionnaires have been developed, but we require (1) consensus on which measures to use for validation and (2) further development of internationally standardized questionnaires for use in different settings and to address different scientific questions. Many questionnaires correlate well with biological markers and development of chronic diseases, but subjective measurement will always entail a certain degree of misclassification. Furthermore, unstructured physical activity such as housework and gardening may be subject to recall bias. No method appears better to any other, and the choice of instrument will depend on the research question being asked. Future research should combine information from both objective and subjective methods. Physical fitness comprises several components, including cardiorespiratory endurance and muscle strength and endurance. Direct measurement of oxygen consumption is the criterion measure for cardiorespiratory endurance. As regards muscle strength and endurance, only test–retest reliability is available. Hand-held dynamometers greatly facilitate field testing for maximal isometric muscle strength assessment, while force plate measurements can be used for the lower extremities. For endurance, simple tests such as push-ups and sit-ups are reliable. 相似文献
Abstract The aim of this study was to examine the interrelationship between aerobic fitness, body composition, and physical activity in 9- and 15-year-olds. The 270 participants were randomly selected from 18 primary and secondary schools in Iceland. Aerobic fitness was assessed by a graded exercise test on a bicycle ergometer. Body composition was estimated via: logarithm of sum of four skinfolds (loge skinfolds), waist adjusted for height, and body mass index (BMI). Physical activity was measured with Actigraph activity monitors using total activity each day as the physical activity variable. Aerobic fitness was chosen as the primary outcome variable, body composition as the secondary variable, and physical activity as the tertiary variable. All the full models explained a similar proportion of fitness variance for both age groups (45–65%). Among the 15-year-olds, loge skinfolds explained a significantly larger proportion of the fitness variance (54%) than waist adjusted for height (29%) and BMI (15%), but all the body composition variables explained a similar proportion of the fitness variance (35–42%) among the 9-year-olds. Physical activity explained a smaller proportion (0%) of the unadjusted variance in fitness for the 9-year-olds than for the 15-year-olds (19%). This group difference became non-significant (0% vs. 4%) when adjusting for loge skinfolds but remained significant when controlling for waist adjusted for height (0% vs. 15%) and BMI (0% vs. 18%). Gender differences in aerobic fitness after puberty can largely be explained by gender differences in loge skinfolds and physical activity. In conclusion, the interrelationship between fitness, body composition, physical activity, and gender is not the same among 9- and 15-year-olds. 相似文献