Trial reportBMJ open2023
A predictive modelling approach to illustrate factors correlating with stunting among children aged 12-23 months: a cluster randomised pre-post study.
Trial report in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 13 citations in OpenAlex.
- The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years.BMC nutrition · 2025Article
- Coexisting forms of malnutrition among under-5 children in Bangladesh: results from 2012 to 13 and 2019 Multiple Indicator Cluster Surveys.Public health nutrition · 2025Article
- Influence of Enterocytozoon bieneusi Infection on Child Growth: A Secondary Analysis of the MAL-ED Birth Cohort Study.The American journal of tropical medicine and hygiene · 2025Article
- Social and economic predictors of under-five stunting in Mexico: a comprehensive approach through the XGB model.Journal of global health · 2025Article
- Maternal factors promoting normal linear growth of children from impoverished Rwandan households: a cross-sectional study.BMC public health · 2024Article
- Development of a diagnostic predictive model for determining child stunting in Malawi: a comparative analysis of variable selection approaches.BMC medical research methodology · 2024Article
- Adapting power calculations to include a superiority margin: what are the implications?Biochemia medica · 2024Review
- Determinants of Stunting among Children with Teenage Mothers: Evidence from Indonesia.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to construct a predictive model in order to develop an intervention study to reduce the prevalence of stunting among children aged 12-23 months.
designThe study followed a cluster randomised pre-post design and measured the impacts on various indicators of livelihood, health and nutrition. The study was based on a large dataset collected from two cross-sectional studies (baseline and endline).
settingThe study was conducted in the north-eastern region of Bangladesh under the Sylhet division, which is vulnerable to both natural disasters and poverty. The study specifically targeted children between the ages of 12 and 23 months.
main outcome measuresChildhood stunting, defined as a length-for-age z-score <-2, was the outcome variable in this study. Logistic and probit regression models and a decision tree were constructed to predict the factors associated with childhood stunting. The predictive performance of the models was evaluated by computing the area under the receiver operating characteristic (ROC) curve analysis.
resultsThe baseline survey showed a prevalence of 52.7% stunting, while 50.0% were stunted at endline. Several factors were found to be associated with childhood stunting. The model's sensitivity was 61% and specificity was 56%, with a correctly classified rate of 59% and an area under the ROC curve of 0.615.
conclusionThe study found that childhood stunting in the study area was correlated with several factors, including maternal nutrition and education, food insecurity and hygiene practices. Despite efforts to address these factors, they remain largely unchanged. The study suggests that a more effective approach may be developed in future to target adolescent mothers, as maternal nutrition and education are age-dependent variables. Policy makers and programme planners need to consider incorporating both nutrition-sensitive and nutrition-specific activities and enhancing collaboration in their efforts to improve the health of vulnerable rural populations. TRIAL REGISTRATION NUMBER: RIDIE-STUDY-ID-5d5678361809b.
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.