Evidence map›Paper›PMID 41866769›Full record

ArticleMaternal & child nutrition2026

Breaking the Cycle: Intergenerational Transmission of Stunting in Sub-Saharan Africa-Evidence From 19 Countries.

Demisu Zenbaba, Sanni Yaya

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Demisu ZenbabaSchool of Public Health, Madda Walabu University, Bale-Goba, Ethiopia.ORCID 0000-0002-7733-7627
Sanni YayaThe George Institute for Global Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4876-6043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stunting, largely established during the first 1000 days of life, remains a major public health challenge in sub-Saharan Africa, contributing to early-life deficits and perpetuating intergenerational disadvantage. Children born to stunted mothers are at increased risk of experiencing stunting themselves, reflecting the persistence of nutritional vulnerability across generations. This study examines the association between maternal and child stunting across 19 sub-Saharan African countries using recent Demographic and Health Survey (DHS) data. A cross-sectional analysis was conducted using pooled DHS data from 91,840 children aged 6-59 months and their mothers, collected between 2013 and 2024. Child stunting was defined as a height-for-age Z-score (HAZ) below -2 standard deviations. Multivariable logistic regression models were used to assess the association between maternal and child stunting, adjusting for key sociodemographic and household characteristics. The overall prevalence of child stunting was 31.5%. Stunting prevalence was substantially higher among children of stunted mothers (66.6%) compared to those of non-stunted mothers (32.3%). Maternal stunting was associated with significantly increased odds of child stunting (adjusted odds ratio [AOR]: 3.79; 95% CI: 3.25-4.43). Additional determinants included maternal education, household wealth, and place of residence. Marked regional disparities were observed, with the highest prevalence in Central Africa (37.8%) and the lowest in Western Africa (26.6%). Maternal stunting emerges as a strong and independent predictor of child stunting, underscoring the importance of life-course approaches to nutrition. Interventions targeting maternal nutrition, female education, and structural socioeconomic inequalities are essential to disrupt the intergenerational transmission of stunting in sub-Saharan Africa.

Indexed as

Growth DisordersAfrica South of the SaharaChild, PreschoolCross-Sectional StudiesFemaleHealth SurveysHumansInfantMaleMothersNutritional StatusPrevalenceSocioeconomic FactorsSub-Saharan African Peoplechild stuntingDHS dataintergenerational healthmalnutritionmaternal stuntingpublic healthsocioeconomic disparitiessub‐Saharan Africa

Identifiers

PMID41866769
PMCPMC13344143

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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.