Resumo: O objetivo foi analisar a agregação do consumo de álcool, tabaco, excesso de peso e sono curto em adolescentes brasileiros. Trata-se de estudo transversal, multicêntrico realizado com base em adolescentes participantes do Estudo de Riscos Cardiovasculares em Adolescentes (ERICA). A amostra foi composta por adolescentes que responderam completamente aos questionários sobre sono, tabaco e uso de bebidas alcoólicas, além de terem realizado antropometria com medidas de peso e estatura aferidas. A agregação foi analisada comparando a prevalência observada com a esperada dos fatores de risco em todas as possibilidades de agrupamento, e seus intervalos de 95% de confiança. As análises foram realizadas no programa estatístico Stata 14, mediante uso do comando svy (survey) para dados de amostra complexa. São 73.624 adolescentes, 25,5% dos estudantes apresentam excesso de peso e 24,2% fazem uso de bebida alcoólica. A agregação dos quatro fatores de risco foi de O/E = 5,6. A prevalência de agregação dos três fatores foi maior naqueles com 15 a 17 anos (P = 4,8). Na análise de ORP (odds ratio de prevalência) da combinação de dois fatores de risco, observou-se que os fumantes têm 11,80 vezes mais chances de também beber quando comparados àqueles que não fumam e vice-versa, nas escolas privadas. Em relação à idade, adolescentes com 12 e 14 anos que fumam têm 15,46 vezes mais chances de também beber e vice-versa. Adolescentes estudados apresentam a presença dos quatro fatores de forma agregada e há relação significativa entre o tabaco e o consumo de álcool.
INTRODUCTION: Adolescence is a stage of great social, family and emotional demands, and the literature has related common mental disorder (CMD) with poor living conditions. OBJECTIVE: To investigate the relationship between CMD and socioeconomic status in Brazilian adolescents aged 12 to 17 years. METHOD: This is a cross-sectional study with data from the Study of Cardiovascular Risk in Adolescents (ERICA – Estudo de Riscos Cardiovasculares em Adolescentes). The outcome was CMD and the exposure was socioeconomic status assessed by race/skin color, maternal schooling, resident/room relationship, type of school, existence of maid and bathroom at home, and work activity. For the calculation of prevalence, the survey mode was used and, in the multivariate analysis, logistic regression with p < 5%, as well as the 95% confidence interval. RESULTS: The prevalence of CMD in girls was 23.3%, and in boys, 11.1%. The variables associated with CMD in girls were age between 15 and 17 years (OR = 1.34; 1.17–1.51), studying in private school (OR = 1.13; 1.01–1.27), having a housemaid (OR = 1.15; 1.00–1.34) and, as a protective factor, unpaid work (OR = 0.64; 0.55–0.75). Boys also had a higher chance of CMD in the highest age group (OR = 1.42; 1.18–1.71) and when they had a housemaid (OR = 1.26; 1.02–1.57), whereas unpaid work decreased this chance (OR = 0.79; 0.67–0.95). CONCLUSION: Socioeconomic variables that were associated with CMD were suggestive of higher economic class, whereas unpaid work favored the mental health of adolescents, results contrary to the literature on socioeconomic status and CMD.
Sleep in adolescence and factors associated with inadequate sleep
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