Evidence map›Paper›PMID 41739861›Full record

ArticlePloS one2026

Nutritional trends among children under the age of five in Zambia: A repeated cross sectional analysis using Zambia demographic health survey (2002-2018).

Namukolo Mukubesa, Leah Kamulaza, Mutale Sampa, Atupele Chisiza, Nasilele Amatende, Hope Sabao, Wilbroad Mutale

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In one paragraph

Article in PloS one, 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Namukolo MukubesaSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.ORCID https://orcid.org/0009-0009-2308-7034
Leah KamulazaSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.
Mutale SampaSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.
Atupele ChisizaSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.
Nasilele AmatendeSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.
Hope SabaoSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.
Wilbroad MutaleSouthern African Institute for Collaborative Research and Innovation Organization (SAICRIO), Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood undernutrition, manifested as stunting, wasting, and underweight, remains a major public health challenge, particularly in low- and middle-income countries. In Zambia, the burden of undernutrition remains persistently high despite ongoing interventions. This study analyzed trends and determinants of nutritional status among children under five years using data from the Zambia Demographic and Health Survey (ZDHS) conducted in 2002, 2007, 2013-14, and 2018. The analysis assessed the prevalence of stunting, underweight, and wasting in children aged 0-59 months, using mean Z-scores and standard deviations. Logistic regression models were applied to identify key socio-demographic and health-related risk factors, with analyses performed in Python, accounting for survey design and weights. Findings revealed a notable decline in malnutrition: stunting dropped from 45.6% in 2002 to 34.7% in 2018; underweight from 27.3% to 11.6%; while wasting remained stable at approximately 4%. Severe stunting and underweight also decreased significantly, whereas severe wasting fluctuated. Prevalence rates were higher when excluding children under six months (left-truncated data), suggesting possible protection from early infancy due to exclusive breastfeeding. Key predictors of malnutrition included low birth weight, poverty, regional disparities, and diarrheal episodes. Despite progress, stunting remains a pressing concern. The higher rates observed in older infants point to the need for strengthened interventions targeting the postnatal period. Enhancing maternal and child health services, improving nutrition programs, and addressing poverty are critical to sustaining reductions in childhood malnutrition.

Identifiers

PMID41739861
PMCPMC12935238

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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.