Evidence map›Paper›PMID 32552812›Full record

ArticleBMC public health2020

Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014).

Tahir Mahmood, Faisal Abbas, Ramesh Kumar, Ratana Somrongthong

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Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

23 citing papers 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

4 authors.

Tahir MahmoodDepartment of Economics, University of Chitral, Chitral, Pakistan.ORCID https://orcid.org/0000-0003-2547-5531
Faisal AbbasDepartment of Economics, School of Social Sciences and Humanities (S3H), National University of Sciences and Technology (NUST), Islamabad, Pakistan.ORCID https://orcid.org/0000-0002-9312-5659
Ramesh KumarHealth Systems & Policy Department, Health Services Academy, Islamabad, Pakistan. drramesh1978@gmail.com.ORCID https://orcid.org/0000-0002-9701-3179
Ratana SomrongthongCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand. sratana3@chula.ac.th.ORCID https://orcid.org/0000-0003-4425-1760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPakistan is facing a serious problem of child under-nutrition as about 38% of children in Pakistan are stunted. Punjab, the largest province by population and contributes high gross domestic product (GDP) share in economy has reported 27% moderately and 10% severely stunted children of less than 5 years. Thus, this study aims at examining the determinants of stunting (moderate and severe) at different level of hierarchy empirically in Punjab province of Pakistan. METHODOLOGY: Data for this study is coming from Punjab Multiple Indicators Cluster Survey (MICS-2014), used two-stage, stratified cluster sampling approach. Sub-national level data covering urban and rural areas were used for this study consists of 25,067 children less than 5 year's ages, from nine administrative divisions and 36 districts of Punjab province of Pakistan. Descriptive statistics and multilevel hierarchical models were estimated. Multilevel data analyses have an advantage because it provides robust standard error estimates and helps in finding variation in the data at various levels.

resultsPunjab has a stunting prevalence of about 27% moderately and 10% severely stunted children of less than 5 years. The results depict that increasing the age of the child, increasing birth order, illiterate mothers and fathers, lack of sanitation facilities and being poor are associated significantly with the likelihood of moderate and severe stunting. Surprisingly, there is a gender bias in stunting in Punjab, Pakistan and being a girl child is more likely associated with moderate and severe stunting, which shows the patriarchal nature of the society and a substantial prevalence of gender bias in household resource allocations.

conclusionThis outcome of our analysis points towards targeting not only households (focus on girls) but also their families and communities.

Indexed as

Child Nutritional Physiological PhenomenaChild, PreschoolCross-Sectional StudiesFemaleGrowth DisordersHumansIncidenceInfantInfant, NewbornMaleMultilevel AnalysisPakistanPrevalenceSurveys and QuestionnairesThinnessChild healthMultilevel modelsMultiple indicators cluster surveyPakistanPunjabStuntingUndernutrition

Identifiers

PMID32552812
PMCPMC7302159

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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.