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1.
Environmental Health and Preventive Medicine ; : 90-90, 2021.
Article in English | WPRIM | ID: wpr-922184

ABSTRACT

BACKGROUND@#Given the important repercussions that sociodemographic factors can have on physical activity, especially in the field of leisure, and cardiometabolic risk, it seems relevant to analyze the implications of these variables on the relationship between physical activity in leisure time (LTPA) and cardiometabolic risk. In this sense, the present study aims to verify the moderating role of biologic and socioeconomic factors in the relationship between LTPA and cardiometabolic risk in adolescents in southern Brazil.@*METHODS@#Cross-sectional study that included 1596 adolescents selected at random (58.2% girls), aged between 10 and 17 years. LTPA, biological and socioeconomic factors were assessed using a self-reported questionnaire and the cardiometabolic risk score (total cholesterol/HDL-c ratio, triglycerides, fasting glucose, systolic blood pressure, and waist circumference, considering the participant's age and sex) was included as an outcome. Associations and moderations were tested by multiple linear regression models.@*RESULTS@#It was observed a positive interaction of LTPA and sex (p = 0.048) and LTPA and school system (p = 0.037), and negative interaction of LTPA and skin color (p = 0.040), indicating that these factors were moderators in the relationship between LTPA and clustered cardiometabolic risk score (cMetS) in adolescents. A reduction in cardiometabolic risk was observed according to the increase in weekly minutes of LTPA among boys, non-white adolescents, and students from municipal schools.@*CONCLUSIONS@#The association between LTPA and cardiometabolic risk was moderated by sex, skin color, and school system in adolescents from southern Brazil.


Subject(s)
Adolescent , Child , Female , Humans , Male , Age Factors , Brazil/epidemiology , Cardiometabolic Risk Factors , Cross-Sectional Studies , Effect Modifier, Epidemiologic , Exercise , Leisure Activities , Sex Factors , Skin Pigmentation , Socioeconomic Factors
2.
Environmental Health and Preventive Medicine ; : 42-42, 2020.
Article in English | WPRIM | ID: wpr-826290

ABSTRACT

OBJECTIVE@#To verify the association between sleep duration and television time with cardiometabolic risk and the moderating role of age, gender, and skin color/ethnicity in this relationship among adolescents.@*METHODS@#Cross-sectional study with 1411 adolescents (800 girls) aged 10 to 17 years. Television time, sleep duration, age, gender, and skin color/ethnicity were obtained by self-reported questionnaire. Cardiometabolic risk was evaluated using the continuous metabolic risk score, by the sum of the standard z-score values for each risk factor: high-density lipoprotein cholesterol, triglycerides, glycemia, cardiorespiratory fitness, systolic blood pressure, and waist circumference. Generalized linear regression models were used.@*RESULTS@#There was an association between television time and cardiometabolic risk (β, 0.002; 95% CI, 0.001; 0.003). Short sleep duration (β, 0.422; 95% CI, 0.012; 0.833) was positively associated with cardiometabolic risk. Additionally, age moderated the relationship between television time and cardiometabolic risk (β, - 0.009; 95% CI, - 0.002; - 0.001), suggesting that this relationship was stronger at ages 11 and 13 years (β, 0.004; 95% CI, 0.001; 0.006) compared to 13 to 15 years (β, 0.002; 95% CI, 0.001; 0.004). No association was found in older adolescents (β, 0.001; 95% CI, - 0.002; 0.002).@*CONCLUSIONS@#Television time and sleep duration are associated with cardiometabolic risk; adolescents with short sleep have higher cardiometabolic risk. In addition, age plays a moderating role in the relationship between TV time and cardiometabolic risk, indicating that in younger adolescents the relationship is stronger compared to older ones.


Subject(s)
Age Factors , Brazil , Epidemiology , Cardiovascular Diseases , Epidemiology , Ethnology , Cross-Sectional Studies , Metabolic Syndrome , Epidemiology , Ethnology , Prevalence , Risk Factors , Sedentary Behavior , Ethnology , Sex Factors , Sleep , Television
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