Evidence map›Paper›PMID 41522298›Full record

Observational studyF1000Research2025

Global, regional and national estimates of coexisting forms of malnutrition among the neonates, infants and young children - A secondary data analysis of Demographic & Health Surveys (DHS) from 2006 to 2024.

Asif Khaliq, Bushra Ashar, Haji Abdul Rehman, Mohammad Junaid, Yusra Rizwan, Namra Aijaz, Sibgha Fawad Memon, Nazeer Ahmed, Muhammad Hamza, Ubaidullah Khan and 4 more

Abstract readObservational Study
In one paragraph

Observational study in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Asif KhaliqQueensland University of Technology School of Public Health and Social Work, Kelvin Grove, Queensland, Australia.ORCID https://orcid.org/0000-0002-5284-7014
Bushra AsharDow University of Health Sciences, Karachi, Sindh, Pakistan.
Haji Abdul RehmanCMH Multan Institute of Medical Sciences, Multan, Punjab, Pakistan.
Mohammad JunaidKhyber Medical College, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Yusra RizwanZiauddin University Faculty of Medicine, Karachi, Sindh, Pakistan.
Namra AijazFMH College of Medicine and Dentistry, Lahore, Punjab, Pakistan.
Sibgha Fawad MemonPeoples University of Medical and Health Sciences for Women, Nawabshah, Sindh, Pakistan.ORCID https://orcid.org/0009-0005-8697-1522
Nazeer AhmedKarachi Medical and Dental College, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0009-0009-6142-6201
Muhammad HamzaUniversity of Health Sciences Lahore, Lahore, Punjab, Pakistan.
Ubaidullah KhanKhyber Medical College, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Abdul HaseebKhyber Medical College, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Rida ShakeelDow University of Health Sciences, Karachi, Sindh, Pakistan.
Izzan Ahmed UsmaniDow University of Health Sciences, Karachi, Sindh, Pakistan.
Mohammad Javad DavoudabadiQueensland University of Technology School of Mathematical Sciences, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To estimate Global, Regional, and National prevalence of Malnutrition, specifically Coexisting forms of malnutrition (CFM) and its various types: Coexistence of underweight with stunting (CUS), Coexistence of underweight with wasting (CUW), Coexistence of underweight with wasting & stunting (CUWS), Coexistence of stunting with overweight/obesity (CSO) among children under five years in low- and middle-income countries (LMICs). Methods: This cross-sectional observational study utilized latest nationally representative Demographic and Health Surveys (DHS) datasets of 62 LMICs corresponding to six global regions from 2006 to 2024. Data of 541,707 children aged 0 to 59 months with complete anthropometry were analysed descriptively (prevalence estimates) and inferentially (multivariate logistic regression). Results: The global malnutrition prevalence among children was 43.9%, of which CFM was observed among 20.9% children. Among various CFM types, CUS was highly prevalent (11.8%), followed by CUW (4.2%), CUWS (3.2%), and CSO (2.1%). South & Southeast Asian had highest CFM prevalence of 29.6%, while Central Asia and Latin America & Caribbean reported the lowest CFM prevalence of 8.1% and 6.2%, respectively. Among all the LMIC included, Timor-Leste exhibited the highest CFM at 41.8%. In general, children aged between 12 to 35 months had 2-3 times higher odds of various forms of CFM. However, female sex, maternal education, improvement in socioeconomic status, medium to large family size showed significantly lower odds with various forms of CFM. Conclusions: This study advances the understanding of CFM's prevalence, determinants, and regional variations, filling a critical gap in global nutrition research. The findings serve as a reminder to reinvest in efforts to protect children from malnutrition during their early years of life. Governments and other global health sector must invest in a well-established system of nutrition surveillance for addressing CFM, informing targeted interventions to improve child health outcomes in LMICs.

Indexed as

MalnutritionChild, PreschoolCross-Sectional StudiesFemaleGlobal HealthGrowth DisordersHealth SurveysHumansInfantInfant, NewbornMalePrevalenceSecondary Data AnalysisChildrenCoexisting formsDeterminants.InfantsMalnutritionNeonatePrevalence

Identifiers

PMID41522298
PMCPMC12780520

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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.