Evidence map›Paper›PMID 34620917›Full record

ArticleScientific reports2021

Impact of children born with low birth weight on stunting and wasting in Sindh province of Pakistan: a propensity score matching approach.

Faisal Abbas, Ramesh Kumar, Tahir Mahmood, Ratana Somrongthong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

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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

28 citing papers in PubMed, 75 citations in OpenAlex.

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  3. Sociodemographic Factors and Childhood Growth: Associations with Environmental Sanitation Phases.International journal of environmental research and public health · 2026
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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

4 authors at 2 institutions in 2 countries.

Faisal AbbasDepartment of Economics, School of Social Sciences and Humanities (S3H), National University of Sciences and Technology (NUST), Sector H-12, Islamabad, 44000, Pakistan.ORCID 0000-0002-9312-5659
Ramesh KumarDepartment of Public Health, Health Services Academy, Islamabad, Pakistan. drramesh1978@gmail.com.ORCID 0000-0002-9701-3179
Tahir MahmoodDepartment of Economics, University of Chitral, Chitral, Pakistan.ORCID 0000-0003-2547-5531
Ratana SomrongthongCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-4425-1760
Chulalongkorn University · THNational University of Sciences and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low Birth Weight (LBW) is considered as a major public health issue and leading cause of neonatal death. Almost one in four newborns are reported as underweight in Pakistan. Children born with low birth weight are highly vulnerable to develop diseases and death and/or remain undernourished (i.e., stunted and wasted). This study determines the LBW newborns are more prone to develop stunting and wasting in province of Sindh, Pakistan. Moreover, regression-based estimation of the impact of LBW on the child health outcomes of under five years of age, may be prone to selection bias because of the nature of non-experimental data set, thus, propensity score matching methods are used in this study. Data for this study was used from Multiple Indicators Cluster Survey (MICS-2014). MICS is a two-stage, stratified cluster sampling household level data covering urban and rural areas and consists of 19,500 households from five administrative divisions and 28 districts of Sindh province of Pakistan. The total sample size of children less than five years of age after cleaning the data are 7781, of which 2095 are LBW having birth weight categorized as "smaller than average and very small" and 5686 are normal birth weight (NBW) having birth weight very large, larger than average, and average. This study employed propensity score matching (PSM) regression methods to understand whether the children born as low birth weight are more prone to stunting and wasting and/or both. In province of Sindh, moderate wasting children under five years were 21%, severe wasting 6% and both wasting and stunting 10%. The propensity score results are shown significant in all groups. Specifically, all four types of PSM methods confirm a significant difference in the potential outcome variables-meaning that a child born with LBW has a significant adverse effect on the potential child health outcome variables (stunting, wasting and both). Thus, the propensity score matching findings confirm a significant and adverse effect of LBW on potential health outcomes of under five children. Similarly, low birth weight children are significantly more likely to be moderately wasted (OR = 1.5, CI = 1.3-1.6) and severely wasted (OR = 1.6, CI = 1.3-2.0) and both (stunted and wasted, OR = 2.0, CI = 1.7-2.3) as compared to children with normal birth weight. Male children, if born with low birth weight, are significantly more likely to be moderately wasted (OR = 1.3, CI = 1.1-1.5) and both (wasted and stunted, OR = 1.3, CI = 1.1-1.5) than girls. This large data analysis finding proved that the LBW newborns are on higher risk to develop wasting and stunting in Pakistan.

Indexed as

Health Impact AssessmentInfant, Low Birth WeightChild, PreschoolDisease SusceptibilityFemaleGrowth DisordersHumansInfantInfant, NewbornMaleMultivariate AnalysisPakistanPregnancyPropensity ScorePublic Health SurveillanceWasting Syndrome

Identifiers

PMID34620917
PMCPMC8497567
OpenAlexW3201968782

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.