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Association of household composition with dietary patterns among adolescents in Brazil.

Marielly Rodrigues de SouzaAmanda Cristina de Souza AndradeMendalli FroelichAna Paula MuraroPaulo Rogério Melo Rodrigues
Published in: The British journal of nutrition (2023)
The present study identified dietary patterns (DP) and analyse their association with household composition. This is a cross-sectional school-based study, with a nationally representative sample of Brazilian adolescent students, aged 11-19 years, with data from National School Health Survey ( n  102 072). Food consumption was obtained through the weekly frequency of consumption of food markers, and the confirmatory factor analysis was applied to examine the latent variables 'Healthy' (beans, legumes/vegetables and fresh fruit/fruit salad) and 'Unhealthy' (ultra-processed foods, sweets, soft drinks and snacks) DP. The association between household composition and DP was estimated considering lives with both parents as reference category. Among adolescents aged 11-14 years, adherence to healthy DP was lower for boys who lived only with mother ( β = -2·1), and boys ( β = -4·9) and girls ( β = -4·5) who lived without any parents. Adherence to unhealthy DP was higher among boys ( β = 7·6) and girls ( β = 6·0) who lived only with mother, and boys ( β = 4·6) and girls ( β = 5·3) who lived only with father. For older adolescents (aged 15-19 years), adherence to the unhealthy DP was higher among boys who lived only with mother ( β = 3·9) or only with father ( β = 5·3) and girls who lived only with mother ( β = 6·3). Adherence to healthy DP was lower among girls who lived only with father ( β = -9·0). Thus, adolescents who lived in single-parent households had lower adherence to healthy DP and greater adherence to unhealthy DP. Among younger adolescents of both sexes, living without any parent contributed to lower adherence to healthy DP.
Keyphrases
  • physical activity
  • young adults
  • mental health
  • glycemic control
  • type diabetes
  • machine learning
  • risk assessment
  • adipose tissue
  • skeletal muscle
  • heavy metals
  • health risk
  • drinking water
  • climate change
  • community dwelling