Evidence map›Paper›PMID 36104780›Full record

ArticleInternational journal for equity in health2022

Nutritional inequalities among under-five children: a geospatial analysis of hotspots and cold spots in 73 low- and middle-income countries.

Rafi Amir-Ud-Din, Sakina Fawad, Lubna Naz, Sameen Zafar, Ramesh Kumar, Sathirakorn Pongpanich

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 37 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

6 authors at 4 institutions in 2 countries.

Rafi Amir-Ud-DinDepartment of Economics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan.
Sakina FawadDepartment of Economics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan.
Lubna NazDepartment of Economics, Institute of Business Administration, Karachi, Pakistan.
Sameen ZafarSuleman Dawood School of Business, Lahore University of Management Sciences (LUMS), Lahore, Pakistan.
Ramesh KumarHealth Services Academy, Ministry of NHSR & C, Government of Pakistan, Islamabad, Pakistan. drramesh1978@gmail.com.ORCID 0000-0002-9701-3179
Sathirakorn PongpanichCollege of Public Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.ORCID 0000-0003-2632-3919
Chulalongkorn University · THCOMSATS University Islamabad · PKInstitute of Business Administration Karachi · PKLahore University of Management Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChild undernutrition is a severe health problem in the developing world, which affects children's development in the long term. This study analyses the extent and patterns of under-five child undernutrition using Demographic and Health Surveys (DHS) for 73 low- and middle-income countries (LMICs).

methodsFirst, we mapped the prevalence of undernutrition in the developing world. Second, using the LISA (a local indicator of spatial association) technique, we analyzed the geographical patterns in undernutrition to highlight the localized hotspots (regions with high undernutrition prevalence surrounded by similar other regions), cold spots (regions with low undernutrition prevalence surrounded by similar other regions), and outliers (regions with high undernutrition surrounded by low undernutrition and vice versa). Third, we used Moran's I to find global patterns in child undernutrition.

resultsWe find that South Asia has the highest under-five child undernutrition rates. The intra-country nutritional inequalities are highest in Burundi (stunting), Kenya (wasting), and Madagascar (underweight). The local indicator of spatial association (LISA) analysis suggests that South Asia, Middle East and North Africa (MENA) region, and Sub-Saharan Africa are undernutrition hotspots and Europe and Central Asia and Latin America, and the Caribbean are undernutrition cold spots (regions with low undernutrition surrounded by similar other regions). Getis Ord-Gi* estimates generally support LISA analysis. Moran's I and Geary's C gave similar results about the global patterns of undernutrition. Geographically weighted regressions suggest that several socioeconomic indicators significantly explain child undernutrition.

conclusionsWe found a significant within and across country variation in stunting, wasting and underweight rates among the under-five children's population. The geospatial analysis also suggested that stunting, wasting, and underweight patterns exhibit clear regional patterns, underscoring the need for coordinated interventions at the regional level.

Indexed as

Child Nutrition DisordersMalnutritionChildDeveloping CountriesGrowth DisordersHumansKenyaThinnessInequalityLISAMoran’s IStuntingUnderweightWasting

Identifiers

PMID36104780
PMCPMC9476341
OpenAlexW4295898968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.