Evidence map›Paper›PMID 41461815›Full record

ArticleScientific reports2025

Determinants of food insecurity among slum households of Khulna Division, Bangladesh.

Suvasish Das Shuvo, Ambika Charan Mandal, Asma Khatun, Abu Bashar, Deepa Roy

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Suvasish Das Shuvo *Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh. shuvo_nft@just.edu.bd.
Ambika Charan Mandal *Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Asma KhatunDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Abu BasharDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Deepa RoySchool of Science, University of Wollongong, Wollongong, NSW, 2522, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

​Food insecurity remains a significant challenge in Bangladesh's urban slums, which are still considered neglected communities. This study aimed to explore the factors associated with food insecurity and dietary diversity status among slum households of Khulna Division, Bangladesh. This study employed a cross-sectional design, incorporating a household survey and key informant face-to-face interviews. A multi-stage sampling technique was used to select Bangladeshi slum dwellers (n = 749) ≥ 18 years old from five districts residing in the Khulna Division. Data were collected using a pretested structured questionnaire. The household vulnerability to food insecurity indicator and dietary diversity status were used to assess the level of vulnerability to food insecurity. A logit model was used to identify the determinants of vulnerability to food insecurity in slum households. In this study, about 74.6% of the households were mild-to-moderate (MMFI) food insecure while 22.1% experienced severe food insecurity (SFI). Similarly, above 42% of the household respondents had low household dietary diversity (HDDS) and moderate HDDS. We revealed that monthly income, occupation, household size, anxiety and uncertainty, inadequate quality, and insufficient food intake were significantly associated with household dietary diversity and food insecurity status. Additionally, household respondents with MMFI and SFI status have significantly more experience with potential risk indicators of low and moderate HDDS. The study highlighted that in slum areas, households have higher levels of food insecurity and low household dietary diversity status, which may create a negative impact on their mental health and well-being. Therefore, the ongoing and future governments should prioritize supporting vulnerable communities to ensure food security by providing food packages and reducing food prices.

Indexed as

Family CharacteristicsFood InsecurityFood SupplyPoverty AreasAdolescentAdultBangladeshCross-Sectional StudiesDietFemaleHumansMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesYoung AdultBangladeshFood insecurityHousehold dietary diversitySlum area

Identifiers

PMID41461815
PMCPMC12748591

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.