Evidence map›Paper›PMID 40512706›Full record

ArticlePloS one2025

Spatial distribution of stunting among breast feeding children in Sub-Sahara Africa.

Bekahegn Girma, Lealem Dibku Sasahu, Azizur Rahman

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Bekahegn GirmaSchool of Nursing and Midwifery, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0000-0001-5504-6047
Lealem Dibku SasahuDepartment of Natural Resource Management, College of Agriculture and Natural Resource, Dilla University, Dilla, Ethiopia.
Azizur RahmanSchool of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition is still a major global public health issue, especially in Sub-Saharan Africa (SSA), where millions of children suffer from stunting, a chronic form of the disease. In addition to limiting physical growth, stunting also impedes social and cognitive development, which frequently has long-term effects. Stunting is still incredibly common in SSA, with notable regional variations, despite international efforts to address hunger. Moreover, no studies have been conducted to assess the spatial distribution of stunting at the SSA level. Therefore, to pinpoint high-burden areas and guide focused treatments; this study intends to investigate the spatial distribution of stunting among breastfeeding children in SSA.

methodsThe demographic and Health Survey data from 31 SSA nations were used for this study. The investigation included a total of 174,586 breastfeeding children. Stunting clustering and geographic patterns were evaluated using Geographic Information Systems and spatial analytic methods such as Getis-Ord Gi* and Global Moran's I. Stunting prevalence in unsampled areas was predicted using spatial interpolation (Kriging techniques). For the participants, descriptive statistics were calculated.

resultStunting prevalence in SSA varied from 17.63% to 53.68%, with Madagascar (39.43%), Burundi (42.40%), and the Democratic Republic of the Congo (53.68%) having the highest rates. Significant clustering of stunting was found by spatial analysis (Moran's I: 0.639, p < 0.001), with hotspots primarily located in Central and Eastern Africa, such as Ethiopia, and the Democratic Republic of the Congo. In Southern Africa, cold locations like Namibia and South Africa were found to have lower stunting rates.

conclusionThe significant regional variability in the prevalence of stunting among nursing children in SSA was highlighted by this study. In order to address underlying variables including poverty, food insecurity, and limited access to healthcare, the findings highlighted the necessity of region-specific public health initiatives. To lessen the burden of stunting and its long-term effects, improved geospatial surveillance systems are crucial for locating high-risk locations and directing the distribution of resources.

Indexed as

Breast FeedingGrowth DisordersAfrica South of the SaharaChildChild, PreschoolFemaleHumansInfantMalePrevalenceSpatial Analysis

Identifiers

PMID40512706
PMCPMC12165360

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.