Determinants of household food security and dietary diversity during the COVID-19 pandemic in Bangladesh

Public Health Nutr. 2021 Apr;24(5):1079-1087. doi: 10.1017/S1368980020005042. Epub 2020 Dec 15.

Abstract

Objectives: The study aimed to determine the associated factors of household food security (HFS) and household dietary diversity (HDD) during the COVID-19 pandemic in Bangladesh.

Design: Both online survey and face-to-face interviews were employed in this cross-sectional study. The Household Food Security Scale and Household Dietary Diversity Score were used to access HFS and HDD, respectively. The HDD scores were derived from a 24-h recall of food intake from 12 groups.

Setting: Bangladesh.

Participants: A total sample of 1876 households were recruited.

Results: The overall mean scores of HFS and HDD were 31·86 (sd 2·52) and 6·22 (sd 5·49), respectively. Being a rural resident, having no formal education, occupation of household head other than government job and low monthly income were potential determinants of lower HFS and HDD. Approximately 45 % and 61 % of Bangladeshi households did not get the same quantity and same type of food, respectively, as they got before the pandemic. Over 10 % of respondents reported that they lost their job or had to close their businesses, and income reduction was reported by over 70 % of household income earners during the COVID-19 pandemic, which in turn was negatively associated with HFS and HDD.

Conclusion: Household socio-economic variables and COVID-19 effects on occupation and income are potential predictors of lower HFS and HDD scores. HFS and HDD deserve more attention during this pandemic particularly with reference to low-earning households and the households whose earning persons' occupation has been negatively impacted during the COVID-19 pandemic.

Keywords: Bangladesh; COVID-19; Household dietary diversity; Household food security.

MeSH terms

  • Adult
  • Bangladesh
  • COVID-19 / prevention & control*
  • Cross-Sectional Studies
  • Diet Surveys
  • Diet, Healthy / statistics & numerical data*
  • Family Characteristics
  • Female
  • Food Security / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Poverty / statistics & numerical data
  • Quarantine / statistics & numerical data*
  • Rural Population / statistics & numerical data
  • SARS-CoV-2
  • Socioeconomic Factors*