Evidence map›Paper›PMID 36301890›Full record

ArticlePloS one2022

Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh.

Md Jahangir Alam, Md Merajul Islam, Md Maniruzzaman, N A M Faisal Ahmed, Most Tawabunnahar, Md Jahanur Rahman, Dulal Chandra Roy, Janardhan Mydam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

21 citing papers in PubMed, 28 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Md Jahangir AlamDepartment of Statistics, University of Rajshahi, Rajshahi, Bangladesh.ORCID 0000-0002-5372-8789
Md Merajul IslamDepartment of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.
Md ManiruzzamanStatistics Discipline, Khulna University, Khulna, Bangladesh.ORCID 0000-0001-6151-8071
N A M Faisal AhmedInstitute of Education and Research, University of Rajshahi, Rajshahi, Bangladesh.
Most TawabunnaharDepartment of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.
Md Jahanur RahmanDepartment of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
Dulal Chandra RoyDepartment of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
Janardhan MydamDivision of Neonatology, Department of Pediatrics, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, United States of America.
University of Rajshahi · BDJatiya Kabi Kazi Nazrul Islam University · BDKhulna University · BDRush University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveLow birth weight (LBW) is a major risk factor of child mortality and morbidity during infancy (0-3 years) and early childhood (3-8 years) in low and lower-middle-income countries, including Bangladesh. LBW is a vital public health concern in Bangladesh. The objective of the research was to investigate the socioeconomic inequality in the prevalence of LBW among singleton births and identify the significantly associated determinants of singleton LBW in Bangladesh. MATERIALS AND

methodsThe data utilized in this research was derived from the latest nationally representative Bangladesh Demographic and Health Survey, 2017-18, and included a total of 2327 respondents. The concentration index (C-index) and concentration curve were used to investigate the socioeconomic inequality in LBW among the singleton newborn babies. Additionally, an adjusted binary logistic regression model was utilized for calculating adjusted odds ratio and p-value (<0.05) to identify the significant determinants of LBW.

resultsThe overall prevalence of LBW among singleton births in Bangladesh was 14.27%. We observed that LBW rates were inequitably distributed across the socioeconomic groups (C-index: -0.096, 95% confidence interval: [-0.175, -0.016], P = 0.029), with a higher concentration of LBW infants among mothers living in the lowest wealth quintile (poorest). Regression analysis revealed that maternal age, region, maternal education level, wealth index, height, age at 1st birth, and the child's aliveness (alive or died) at the time of the survey were significantly associated determinants of LBW in Bangladesh.

conclusionIn this study, socioeconomic disparity in the prevalence of singleton LBW was evident in Bangladesh. Incidence of LBW might be reduced by improving the socioeconomic status of poor families, paying special attention to mothers who have no education and live in low-income households in the eastern divisions (e.g., Sylhet, Chittagong). Governments, agencies, and non-governmental organizations should address the multifaceted issues and implement preventive programs and policies in Bangladesh to reduce LBW.

Indexed as

Infant, Low Birth WeightMothersBangladeshBirth WeightChildChild, PreschoolFemaleHumansInfantInfant, NewbornPrevalenceRisk FactorsSocial ClassSocioeconomic Factors

Identifiers

PMID36301890
PMCPMC9612499
OpenAlexW4307411278

What OpenQuestion holds

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Registered trials

None linked

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.