ArticleBMC pediatrics2024
Prevalence of stunting and its correlates among children under 5 in Afghanistan: the potential impact of basic and full vaccination.
Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Coverage and factors associated with receipt of early newborn postnatal care components in Afghanistan: findings from the 2022-2023 multiple indicator cluster survey.Global health action · 2026Article
- Prelacteal feeding practice and its associated factors in Afghanistan: insights from the 2022-2023 multiple indicator cluster survey.BMC nutrition · 2026Article
- Pathways linking household food insecurity to undernutrition among under 5 children in migrant populations along the Thailand-Myanmar border: A Structural Equation Modeling approach.PLOS global public health · 2026Article
- Social and Environmental Determinants of Childhood Stunting in Indonesia: National Cross-Sectional Study.JMIR pediatrics and parenting · 2025Article
- Exploring the multifactorial predictors of stunting in children under five: A systematic review of the literature, 2015-2024.Journal of public health research · 2025Review
- Advancing breastfeeding research in Afghanistan: opportunities for policy and practice.International breastfeeding journal · 2025Article
- Exclusive breastfeeding practices in Afghanistan: evidence from the 2022-2023 multiple indicator cluster survey.Journal of health, population, and nutrition · 2025Article
- Factors influencing early initiation of breastfeeding in Afghanistan: secondary analysis of the Afghanistan MICS 2022-23.International breastfeeding journal · 2025Article
- Minimum acceptable diet and contributing factors among children aged 6-23 months in Afghanistan: insights from the 2022-2023 Multiple Indicator Cluster Survey.BMC nutrition · 2025Article
- The forgotten link: how the oral microbiome shapes childhood growth and development.Frontiers in oral health · 2025Review
- Prevalence and factors associated with mother and newborn skin-to-skin contact in Afghanistan.PloS one · 2025Article
- Early childhood development and its associated factors among children aged 36-59 months in Afghanistan: evidence from the national survey 2022-2023.BMC pediatrics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChild stunting is prevalent in low and middle-income countries (LMICs), but an information gap remains regarding its current prevalence, correlates, and the impact of vaccination against this condition in Afghanistan. This study aimed to determine the prevalence and correlates of moderate and severe stunting and the potential impact of basic and full vaccination among children under five in Afghanistan.
methodsThis is a secondary analysis of the 2022-23 Afghanistan Multiple Indicators Cluster Survey (MICS) including 32,989 children under 5. Descriptive statistics were employed to describe the distribution of independent variables and the prevalence of stunting across them. Chi-square analysis was used to examine the association between each independent variable with stunting. Multinomial logistic regression was used to examine the risk of stunting across different independent variables.
resultsA total of 32,989 children under 5 years old were included in this study. Of those 44.7% were stunted with 21.74% being severely stunted. Children aged 24-35 and 36-47 months faced the highest risk as compared to those aged 1-5 months. The prevalence was lower in female children and they were less likely to experience severe stunting. Stunting was more prevalent in rural areas, with children there 1.16 to 1.23 times more likely to be affected than urban counterparts. Lower wealth correlated with higher stunting. Younger maternal age at birth (≤ 18) correlated with increased stunting risks, particularly in severe cases. Parental education was inversely related to stunting; higher education levels in parents, especially fathers, were associated with lower stunting rates. Households with more than seven children showed a 25% and 44% higher risk of moderate and severe stunting, respectively, compared to families with 1-4 children. Improved sanitation, but not drinking water sources, was linked to reduced stunting in the adjusted model. Vaccination had a protective effect; in the adjusted analysis, basic and full vaccinations significantly lowered the risk of severe stunting by 46% and 41%, respectively.
conclusionIn this nationally representative study, the prevalence of stunting was substantial (44.7%) in Afghan children. Additionally, the findings emphasize the critical factors associated with child stunting and underscore the protective role of vaccination against this condition, which provides policymakers with directions for policy efforts and intervention strategies to reduce child stunting in Afghanistan.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.