ArticleJournal of health, population, and nutrition2026
Factors associated with malnutrition among under five children in Bangladesh: a multivariate analysis.
Article in Journal of health, population, and 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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChild malnutrition remains a major global public health concern, with a disproportionately higher burden in developing countries such as Bangladesh. It is a leading contributor to childhood morbidity and mortality and has long-term consequences for physical growth, cognitive development, educational attainment, and adult productivity. Multiple socioeconomic and demographic factors are responsible for this condition. Therefore, this study aims to identify the factors associated with child malnutrition in Bangladesh using multivariate analytical approaches.
methodsIn this study, malnutrition-related data from the Bangladesh Demographic and Health Survey (BDHS) 2022 were used. Multivariate analysis of variance (MANOVA) and multivariate linear regression models were performed to identify significant factors of child malnutrition in Bangladesh (p[Formula: see text]).
resultsMultivariate linear regression analysis showed that the Z-scores for height-for-age (HAZ), weight-for-age (WAZ), and weight-for-height (WAH) among children aged 12-23 months were significantly lower compared to those aged < 12 months, with reductions of 32.63, 24.01, and 16.40 units, respectively (p < 0.001). Maternal underweight was negatively associated with all three anthropometric outcomes, whereas higher maternal education and better household wealth status were positively associated with improved nutritional outcomes.
conclusionThe findings of this study suggest that both governmental and non-governmental organizations should prioritize improving maternal education and nutritional status, enhancing household income-generating activities among disadvantaged populations, and promoting adequate birth spacing.
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.