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Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown
BACKGROUND: The COVID-19 pandemic and countrywide lockdown could negatively impact household food insecurity among low-income households. This study aimed to investigate the prevalence of household food insecurity and its influencing factors among low-income people in Bangladesh during the lockdown...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9089875/ https://www.ncbi.nlm.nih.gov/pubmed/35536850 http://dx.doi.org/10.1371/journal.pone.0267488 |
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author | Shuvo, Suvasish Das Hossain, Md. Sakhawot Riazuddin, Md. Mazumdar, Sanaullah Roy, Deepa |
author_facet | Shuvo, Suvasish Das Hossain, Md. Sakhawot Riazuddin, Md. Mazumdar, Sanaullah Roy, Deepa |
author_sort | Shuvo, Suvasish Das |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic and countrywide lockdown could negatively impact household food insecurity among low-income households. This study aimed to investigate the prevalence of household food insecurity and its influencing factors among low-income people in Bangladesh during the lockdown of COVID-19. METHODS: This cross-sectional study was conducted through face-to-face interviews from 500 low-income households during the countrywide COVID-19 lockdown. A pretested, structured and validated questionnaire was used to collect socioeconomic characteristics, household income conditions, and food accessibility. Household Food Insecurity Access Scale (HFIAS) and Dietary Diversity Score (DDS) were used to measure food insecurity. Multinomial logistic regression models were estimated to evaluate and predict risk factors that influence food insecurity. RESULTS: The study found that above 67% of households was mild-to-moderate food insecure while 23% experienced severe food insecurity. Significantly, 88%, 97.4%, and 93.4% of the households had anxiety and uncertainty, inadequate quality, and inadequate quantity of food, respectively. The regression analysis revealed the age 36–50 years (RRR: 4.86; 95% CI: 2.31–7.44, RRR: 4.16; 95% CI: 2.25–6.10) and monthly income <58.3 USD (RRR: 3.04; 95% CI: 1.12–5.14, RRR: 3.26; 95% CI: 1.79–4.71) were significantly associated with food insecurity (p <0.001). Likewise, less-income (RRR: 3.87; 95% CI: 1.37–6.46, RRR: 2.99; 95% CI: 1.16–4.83), increase in food prices (RRR: 1.29; 95% CI: 0.32–2.33, RRR: 1.08; 95% CI: 0.05–1.12), and those who did not have same type of earning as before during the COVID-19 lockdown (RRR: 3.41; 95% CI: 1.33–5.62, RRR: 2.60; 95% CI: 0.99–4.24) were potential risk factor for MMFI and FI. CONCLUSION: This study found that households become more susceptible to food insecurity during the COVID-19 pandemic and lockdown period. Based on the findings, we suggest some essential food policies and adequate food assistance to mitigate these negative consequences. |
format | Online Article Text |
id | pubmed-9089875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90898752022-05-11 Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown Shuvo, Suvasish Das Hossain, Md. Sakhawot Riazuddin, Md. Mazumdar, Sanaullah Roy, Deepa PLoS One Research Article BACKGROUND: The COVID-19 pandemic and countrywide lockdown could negatively impact household food insecurity among low-income households. This study aimed to investigate the prevalence of household food insecurity and its influencing factors among low-income people in Bangladesh during the lockdown of COVID-19. METHODS: This cross-sectional study was conducted through face-to-face interviews from 500 low-income households during the countrywide COVID-19 lockdown. A pretested, structured and validated questionnaire was used to collect socioeconomic characteristics, household income conditions, and food accessibility. Household Food Insecurity Access Scale (HFIAS) and Dietary Diversity Score (DDS) were used to measure food insecurity. Multinomial logistic regression models were estimated to evaluate and predict risk factors that influence food insecurity. RESULTS: The study found that above 67% of households was mild-to-moderate food insecure while 23% experienced severe food insecurity. Significantly, 88%, 97.4%, and 93.4% of the households had anxiety and uncertainty, inadequate quality, and inadequate quantity of food, respectively. The regression analysis revealed the age 36–50 years (RRR: 4.86; 95% CI: 2.31–7.44, RRR: 4.16; 95% CI: 2.25–6.10) and monthly income <58.3 USD (RRR: 3.04; 95% CI: 1.12–5.14, RRR: 3.26; 95% CI: 1.79–4.71) were significantly associated with food insecurity (p <0.001). Likewise, less-income (RRR: 3.87; 95% CI: 1.37–6.46, RRR: 2.99; 95% CI: 1.16–4.83), increase in food prices (RRR: 1.29; 95% CI: 0.32–2.33, RRR: 1.08; 95% CI: 0.05–1.12), and those who did not have same type of earning as before during the COVID-19 lockdown (RRR: 3.41; 95% CI: 1.33–5.62, RRR: 2.60; 95% CI: 0.99–4.24) were potential risk factor for MMFI and FI. CONCLUSION: This study found that households become more susceptible to food insecurity during the COVID-19 pandemic and lockdown period. Based on the findings, we suggest some essential food policies and adequate food assistance to mitigate these negative consequences. Public Library of Science 2022-05-10 /pmc/articles/PMC9089875/ /pubmed/35536850 http://dx.doi.org/10.1371/journal.pone.0267488 Text en © 2022 Shuvo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shuvo, Suvasish Das Hossain, Md. Sakhawot Riazuddin, Md. Mazumdar, Sanaullah Roy, Deepa Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown |
title | Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown |
title_full | Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown |
title_fullStr | Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown |
title_full_unstemmed | Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown |
title_short | Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown |
title_sort | factors influencing low-income households’ food insecurity in bangladesh during the covid-19 lockdown |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9089875/ https://www.ncbi.nlm.nih.gov/pubmed/35536850 http://dx.doi.org/10.1371/journal.pone.0267488 |
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