scholarly journals Leisure Time Physical Activity and Cardio‐Metabolic Health: Results From the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil)

2016 ◽  
Vol 5 (6) ◽  
Author(s):  
Xiaochen Lin ◽  
Sheila M. Alvim ◽  
Eduardo J. Simoes ◽  
Isabela M. Bensenor ◽  
Sandhi M. Barreto ◽  
...  
Keyword(s):  
Physical Activity ◽  
Longitudinal Study ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Metabolic Health ◽  
Adult Health

Abstract P124: Leisure Time Physical Activity and Cardio-metabolic Health: Results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Xiaochen Lin ◽  
Sheila Alvim ◽  
Isabela M Bensenor ◽  
Eduardo J Simoes ◽  
Paulo A Lotufo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Longitudinal Study ◽  
Leisure Time ◽  
Metabolic Diseases ◽  
Metabolic Health ◽  
Sensitivity Analyses ◽  
Risk Scores ◽  
Adult Health ◽  
Alternative Definition ◽  
Definition Of

Context: Physical inactivity and cardio-metabolic diseases are increasingly prevalent in Brazil, and preventive guidelines are urgently needed for physical activity (PA) promotion in Brazilian populations. Objective: To investigate the association between leisure time PA and cardio-metabolic health in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Methods: We conducted a cross-sectional analysis of the baseline data from 11,547 women and men aged 35-74 free of cardiovascular diseases (CVD) in the ELSA-Brasil. Data on PA was obtained using the International Physical Activity Questionnaire. Physical activity status was defined according to the American Heart Association’s recommendation (at least 150 minutes/ week moderate activities or 75 minutes/week vigorous activities). Multivariable linear/logistic regression models were used to examine the sex-specific associations of leisure time PA with intermediate cardio-metabolic markers (systolic/dialectic blood pressure (SBP/DBP), heart frequency, and Framingham Risk Scores) and cardio-metabolic diseases (hypertension, diabetes, and predicted 10-year risk of CVD). We also conducted two sets of sensitivity analyses using 1) an alternative definition of PA (PA-related energy expenditure ≥ 1000 kilocalories/week) and 2) additional adjustment for education and income. Results: In total, 1,183 women and 1,387 men were classified as active. After taking into account multiple covariates, the favorable effects of leisure time PA on cardio-metabolic parameters were evident for both women and men (Table) . These associations did not change appreciably when the alternative definition of PA was used or additional socioeconomic variables were taken into account. Conclusion: We observed significant beneficial effects of leisure time PA on cardio-metabolic health in this large Brazilian population that are consistent with studies in high-income countries of North America and Europe.

scholarly journals Association between leisure-time physical activity and sedentary behavior with cardiometabolic health in the ELSA-Brasil participants

2019 ◽  
Vol 7 ◽  
pp. 205031211982708 ◽  
Author(s):  
Francisco José Gondim Pitanga ◽  
Sheila Maria Alvim Matos ◽  
Maria da Conceição C. Almeida ◽  
Ana Luísa Patrão ◽  
Maria del Carmen Bisi Molina ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sitting Time ◽  
Cardiometabolic Health ◽  
Adult Health ◽  
Cross Sectional ◽  
Low Levels

Objectives: To assess associations, both individually and in combination, between leisure-time physical activity and sedentary behavior, and cardiometabolic health. Methods: This cross-sectional study included 13,931 civil servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Leisure-time physical activity was analyzed using the leisure-time domain of the long-form International Physical Activity Questionnaire, while questions related to cumulative sitting time and leisure-based screen time on a weekday and on one day on the weekend were used to establish sedentary behavior. Data analysis was performed using multivariate logistic regression. Results: Following adjustment for confounding variables, high levels of leisure-time physical activity and low levels of sedentary behavior were both associated with favorable cardiometabolic health markers in both genders. When these two factors were analyzed in conjunction, taking the combination of low levels of leisure-time physical activity and high levels of sedentary behavior as the reference, the inverse associations with cardiometabolic variables became even more significant. Conclusion: High levels of leisure-time physical activity and low levels of sedentary behavior were both inversely associated with the cardiometabolic variables analyzed; however, the two variables when evaluated in conjunction appear to produce more consistent associations, particularly when sedentary behavior is evaluated according to leisure-based screen time.

scholarly journals Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil

2017 ◽  
Vol 51 ◽  
Author(s):  
Aline Araújo Nobre ◽  
Marilia Sá Carvalho ◽  
Rosane Härter Griep ◽  
Maria De Jesus Mendes da Fonseca ◽  
Enirtes Caetano Prates Melo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Family Income ◽  
Leisure Time Physical Activity ◽  
Premature Death ◽  
Education Level ◽  
Vulnerable Groups ◽  
Adult Health ◽  
Multinomial Model ◽  
Gamma Model

OBJECTIVE To compare two methodological approaches: the multinomial model and the zero-inflated gamma model, evaluating the factors associated with the practice and amount of time spent on leisure time physical activity. METHODS Data collected from 14,823 baseline participants in the Longitudinal Study of Adult Health (ELSA-Brasil – Estudo Longitudinal de Saúde do Adulto ) have been analysed. Regular leisure time physical activity has been measured using the leisure time physical activity module of the International Physical Activity Questionnaire. The explanatory variables considered were gender, age, education level, and annual per capita family income. RESULTS The main advantage of the zero-inflated gamma model over the multinomial model is that it estimates mean time (minutes per week) spent on leisure time physical activity. For example, on average, men spent 28 minutes/week longer on leisure time physical activity than women did. The most sedentary groups were young women with low education level and income CONCLUSIONS The zero-inflated gamma model, which is rarely used in epidemiological studies, can give more appropriate answers in several situations. In our case, we have obtained important information on the main determinants of the duration of leisure time physical activity. This information can help guide efforts towards the most vulnerable groups since physical inactivity is associated with different diseases and even premature death.

Sign in / Sign up

Export Citation Format

Share Document