Evidence map›Paper›PMID 42252697›Full record

ArticleGlobal health, epidemiology and genomics2026

Socioeconomic, Demographic, and Environmental Determinants of Hemoglobin Levels Among Women: A Multilevel Analysis in South and Southeast Asia.

Abdullah Al Islam, Bodrunnahar Barna, Md Amjad Patwary, Mohammad Romel Bhuia, Md Atiqul Islam

Abstract read
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Article in Global health, epidemiology and genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Abdullah Al IslamDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh, sust.edu.ORCID https://orcid.org/0009-0005-3398-6907
Bodrunnahar BarnaDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh, sust.edu.ORCID https://orcid.org/0009-0000-1708-0391
Md Amjad PatwaryDepartment of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh, sust.edu.ORCID https://orcid.org/0009-0009-6572-8485
Mohammad Romel BhuiaDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh, sust.edu.ORCID https://orcid.org/0009-0002-3615-4215
Md Atiqul IslamDepartment of Statistics, Jagannath University, Dhaka, Bangladesh, jagannathuniversity.org.ORCID https://orcid.org/0000-0003-2683-0945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anemia, mainly caused by hemoglobin (Hb) deficiency, is a serious health issue in countries that are developing, such as Bangladesh, India, Nepal, the Maldives, and Myanmar. This study examines the factors influencing Hb levels in women aged 15-49 across these nations using data from the Demographic Health Surveys (2011-2016). Analyzing 716,273 women from 71 subnational regions, we employed multilevel linear mixed-effect modeling to identify key determinants. The study revealed that its mean Hb level was 117.5 g/L with a standard deviation (SD) of 16.5 g/L overall, with its highest mean in Nepal (123 g/L) with SD 15.4 g/L and the lowest in the Maldives (115.3 g/L) with SD 3.8 g/L. Anemia affected 51.3% of women, with the highest prevalence in the Maldives (58.5%) and the lowest in Nepal (40.6%). Regarding socioeconomic status and education level, Nepal exhibited the highest mean Hb levels among different socioeconomic groups, while the Maldives had the lowest. Linear mixed models identified several factors affecting Hb levels, including socioeconomic status, education level, contraceptive method, menstrual cycle, literacy, pregnancy, marriage, breastfeeding, amenorrhea, age, BMI, parity, access to water, and sanitation. Furthermore, a four-level random intercept model proved more effective than other models in fitting the data. Our findings highlight the need for targeted interventions to reduce anemia rates in South and Southeast Asia, emphasizing socioeconomic, demographic, and environmental influences. These insights are crucial for policymakers and program managers aiming to enhance women's health in these regions.

Indexed as

AnemiaHemoglobinsAdolescentAdultAsia, SoutheasternDemographyFemaleHealth SurveysHumansMaldivesMiddle AgedMultilevel AnalysisPrevalenceSocioeconomic FactorsYoung AdultHemoglobinsanemiademographic health surveyshemoglobinmultilevel modelrisk factorsSouth and Southeast Asia

Identifiers

PMID42252697
PMCPMC13243770

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LicenceCC BY
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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.