Evidence map›Paper›PMID 37463176›Full record

ArticlePloS one2023

Determinants of undernutrition and overnutrition among reproductive-age women in Bangladesh: Trend analysis using spatial modeling.

Richa Vatsa, Umesh Ghimire, Khaleda Yasmin, Farhana Jesmine Hasan

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Richa VatsaCentral University of South Bihar, Gaya, Bihar, India.
Umesh GhimireRichard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, United States of America.ORCID 0000-0002-4246-8379
Khaleda YasminFamily Planning-Field Services Delivery, Directorate General of Family Planning, DGFP, Dhaka, Bangladesh.
Farhana Jesmine HasanInitiatives for Married Adolescent Girl's Empowerment (IMAGE) Project, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBangladesh is facing a dual burden of malnutrition, with high rates of undernutrition and increasing rates of overnutrition. The complex scenario of malnutrition in Bangladesh varies across different regions, making it a challenging public health concern to address.

objectivesThis study analyzes the spatial and temporal dependence of underweight and overweight Bangladeshi women of reproductive age.

methodsNationally representative cross-sectional data from the Bangladesh Demographic and Health Surveys in 2014 and 2017-18 were utilized to study the changes in weight status in 15-49-year-old women who were either underweight or overweight. A Bayesian geo-additive regression model was used to account for non-linear and linear effects of continuous and categorical covariates and to incorporate spatial effects of geographical divisions.

resultsThe prevalence of overweight or obese women in rural, city corporations, and other urban areas increased significantly over the four years from 2014 to 2017-18. Women in the categories 'richer' and 'richest' were more likely to be overweight or obese. Women from Sylhet were more likely to be underweight in both survey years; however, the spatial effects were significant for underweight women in Mymensingh for the year 2017-18. Women in Rajshahi and Khulna were more likely to be overweight or obese in 2014, and women from Barishal and Chittagong were more likely to be overweight in the year 2017-18.

conclusionsUnderweight and overweight statuses in women vary unevenly across Bangladesh, with a substantially higher prevalence of overweight or obese women in more urbanized areas. The growing burden of overweight and obesity among Bangladeshi women should be addressed with interventions aimed at those in the reproductive age group.

Indexed as

MalnutritionOvernutritionAdolescentAdultBangladeshBayes TheoremCross-Sectional StudiesFemaleHumansMiddle AgedObesityOverweightPrevalenceSocioeconomic FactorsThinnessYoung Adult

Identifiers

PMID37463176
PMCPMC10353797

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