Evidence map›Paper›PMID 33310813›Full record

ArticleBMJ open2020

Acute food insecurity and short-term coping strategies of urban and rural households of Bangladesh during the lockdown period of COVID-19 pandemic of 2020: report of a cross-sectional survey.

Subhasish Das, Md Golam Rasul, Md Shabab Hossain, Ar-Rafi Khan, Md Ashraful Alam, Tahmeed Ahmed, John D Clemens

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Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

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37citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Subhasish DasNutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-7852-6569
Md Golam RasulNutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh.
Md Shabab HossainNutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh.
Ar-Rafi KhanNutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh.
Md Ashraful AlamNutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh.
Tahmeed AhmedNutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh tahmeed@icddrb.org.ORCID http://orcid.org/0000-0002-4607-7439
John D ClemensInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe conducted a cross-sectional survey to assess the extent and to identify the determinants of food insecurity and coping strategies in urban and rural households of Bangladesh during the month-long, COVID-19 lockdown period.

settingSelected urban and rural areas of Bangladesh.

participants106 urban and 106 rural households. OUTCOME VARIABLES AND

methodHousehold food insecurity status and the types of coping strategies were the outcome variables for the analyses. Multinomial logistic regression analyses were done to identify the determinants.

resultsWe found that around 90% of the households were suffering from different grades of food insecurity. Severe food insecurity was higher in urban (42%) than rural (15%) households. The rural households with mild/moderate food insecurity adopted either financial (27%) or both financial and food compromised (32%) coping strategies, but 61% of urban mild/moderate food insecure households applied both forms of coping strategies. Similarly, nearly 90% of severely food insecure households implemented both types of coping strategies. Living in poorest households was significantly associated (p value <0.05) with mild/moderate (regression coefficient, β: 15.13, 95% CI 14.43 to 15.82), and severe food insecurity (β: 16.28, 95% CI 15.58 to 16.97). The statistically significant (p <0.05) determinants of both food compromised and financial coping strategies were living in urban areas (β: 1.8, 95% CI 0.44 to 3.09), living in poorest (β: 2.7, 95% CI 1 to 4.45), poorer (β: 2.6, 95% CI 0.75 to 4.4) and even in the richer (β: 1.6, 95% CI 0.2 to 2.9) households and age of the respondent (β: 0.1, 95% CI 0.02 to 0.21).

conclusionBoth urban and rural households suffered from moderate to severe food insecurity during the month-long lockdown period in Bangladesh. But, poorest, poorer and even the richer households adopted different coping strategies that might result in long-term economic and nutritional consequences.

Indexed as

Adaptation, PsychologicalFood InsecurityPhysical DistancingBangladeshCOVID-19Cross-Sectional StudiesFamily CharacteristicsFemaleHumansMaleNutrition SurveysRural PopulationSocioeconomic FactorsUrban Populationepidemiologynutrition & dieteticspublic health

Identifiers

PMID33310813
PMCPMC7735103

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.