Evidence map›Paper›PMID 42905752›Full record

ArticlePloS one2026

Learning environment at home and primary school dropout status in Bangladesh: An analysis of multiple indicator cluster survey.

Md Emon Prodhan, Ashraful Alam, Sajida Subha, Faizul Islam, Mohd Al Amin, Mohammad Nayeem Hasan, Mohammad Anamul Haque, Md Jamal Uddin

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Article in PloS one, 2026. 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

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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

8 authors.

Md Emon ProdhanDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.ORCID https://orcid.org/0009-0000-9217-0661
Ashraful AlamDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.
Sajida SubhaDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.
Faizul IslamDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.
Mohd Al AminDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.
Mohammad Nayeem HasanDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.
Mohammad Anamul HaqueDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.ORCID https://orcid.org/0000-0003-4461-1594
Md Jamal UddinDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.ORCID https://orcid.org/0000-0002-8360-3274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary school dropout is a serious concern worldwide. In Bangladesh, primary education is strongly shaped by the home learning environment. This study aimed to investigate the associations between the dropout of primary school children and the learning environment at home as well as the associated risk factors by analyzing cross-sectional data from the 2019 Multiple Indicator Cluster Survey (MICS), with a total sample size of 14,278 children aged 6-12 years. Bivariate analysis, crude and adjusted log-binomial models were used to assess the relationships between dropout and risk factors. Overall, 1.68% of the children dropped out, with increased rates observed among males (ARR = 2.44, 95% CI: 1.63-3.64) and children aged 9-12 years at the beginning of the school year had a higher risk of dropout (ARR = 1.83, 95% CI: 1.15-2.93). Mymensingh presented the highest dropout rate, 3.82 (ARR = 3.82, 95% CI: 1.59-9.18) times higher than Barishal. Children who did not read books or were not read to at home had 14.47 (ARR = 14.47, 95% CI: 9.30-22.51) times higher risk of primary school dropout. To reduce primary school dropouts in Bangladesh, addressing gender inequalities, regional disparities, and inadequate home reading activity is essential. Strengthening early childhood education initiatives, promoting home-based literacy activities, supporting older children in their grades, and implementing targeted interventions in disadvantaged regions may help reduce primary school dropout in Bangladesh.

Indexed as

Home EnvironmentLearningSchoolsStudent DropoutsBangladeshChildCluster AnalysisCross-Sectional StudiesFemaleHumansMaleRisk FactorsSurveys and Questionnaires

Identifiers

PMID42905752
PMCPMC13686498

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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.