ArticlePloS one2022
Factors influencing low-income households' food insecurity in Bangladesh during the COVID-19 lockdown.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 40 citations in OpenAlex.
- How a Microfinance-Based Livelihood Program Can Combat Food Insecurity Among Families of Children With Cerebral Palsy in Bangladesh-Evidence From a Randomized Control Trial.Food and nutrition bulletin · 2025Trial
- Malnutrition trends in displaced Rohingya children from 2017 to 2024: a comprehensive 7-year repeated cross-sectional analysis.BMJ global health · 2026Article
- Pathways linking household food insecurity to undernutrition among under 5 children in migrant populations along the Thailand-Myanmar border: A Structural Equation Modeling approach.PLOS global public health · 2026Article
- Determinants of food insecurity among slum households of Khulna Division, Bangladesh.Scientific reports · 2025Article
- Exploring Food Insecurity and Nutritional Challenges Among Rickshaw Pullers in Dhaka City, Bangladesh.Public health challenges · 2025Article
- Prematurity and Low Birth Weight Among Food-Secure and Food-Insecure Households: A Comparative Study in Surabaya, Indonesia.Nutrients · 2025Article
- Food insecurity and its contributing determinants among rural households in the south-western region of Bangladesh, 2021: A cross-sectional study.Public health in practice (Oxford, England) · 2024Article
- Impact of COVID-19 on Outpatient Malnutrition Centers in Urban and Rural Burkina Faso.The American journal of tropical medicine and hygiene · 2023Article
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- Covid-19 related factors to food security and dietary diversity among urban households in western Oromia, Ethiopia.Heliyon · 2023Article
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- Examining the disparities: A cross-sectional study of socio-economic factors and food insecurity in Togo.PloS one · 2023Article
- Household food security access and dietary diversity amidst COVID-19 pandemic in rural Nepal; an evidence from rapid assessment.PloS one · 2023Article
- Article
- Spatial exploration of non-resilience to food insecurity, its association with COVID-19 and household coping strategies in East Gojjam districts, Northwest Ethiopia, 2020.Scientific reports · 2022Article
- Factors Associated with Food Insecurity in Latin America and the Caribbean Countries: A Cross-Sectional Analysis of 13 Countries.Nutrients · 2022Article
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5 authors.
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Abstract
backgroundThe 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.
methodsThis 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.
resultsThe 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.
conclusionThis 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.
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