Exploring Rural Adolescents' Dietary Diversity and Its Socioeconomic Correlates: A Cross-Sectional Study from Matlab, Bangladesh

Nutrients. 2020 Jul 26;12(8):2230. doi: 10.3390/nu12082230.

Abstract

The majority of 36 million Bangladeshi adolescents live in rural areas. Improved understanding of their dietary patterns is of great public health importance. This study aimed to explore dietary diversity (DD) with its socioeconomic and gender stratification in a rural adolescent cohort and to isolate factors associated with inadequate DD. Household survey provided data for constructing dietary diversity scores (DDS) and assessing relevant socio-demographic variables. Final analysis included 2463 adolescents. Means and proportions were compared, and a binary logistic regression model was fitted. Inadequate DD was observed among 42.3% (40.3-44.2). Consumption of nutrient-rich foods varied significantly across gender and SES categories. Belonging to the poorest households (adjusted odds ratio (aOR) 1.59; 95% CI: 1.27, 2.00) and food insecure households (aOR 1.34; 95% CI: 1.13, 1.59), adolescents' attainment of secondary education (aOR 1.38; 95% CI: 1.11, 1.71), and having mothers with secondary education or above (aOR 0.76; 95% CI: 0.60, 0.96) were associated with inadequate DD. Compared with girls from food secure households, girls from food insecure ones had higher odds of inadequate DD (aORgirl 1.42; 95% CI: 1.12, 1.81). Improving rural adolescents' DD would require targeted interventions as well as broader poverty alleviation.

Keywords: Bangladesh; adolescent nutrition; dietary diversity; dietary pattern; household food security; rural adolescents.

MeSH terms

  • Adolescent
  • Bangladesh
  • Cross-Sectional Studies
  • Diet, Healthy / statistics & numerical data*
  • Family Characteristics
  • Feeding Behavior
  • Female
  • Food Insecurity
  • Humans
  • Logistic Models
  • Male
  • Odds Ratio
  • Poverty / statistics & numerical data*
  • Rural Population / statistics & numerical data*
  • Sex Factors*
  • Socioeconomic Factors*