ArticleHealth science reports2025
Exploring Prevalence and Determinants of Early Marriage Through a Cross-Sectional Study: Insights From Bangladesh Demographic and Health Survey 2022.
Article in Health science reports, 2025. 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
Background and Aims: Getting married young is a common system in developing nations, and it has detrimental effects on the health of the women involved as well as the unborn children. This study aims to identify the key factors affecting early marriage among Bangladeshi women using BDHS-2022 data, focusing on region, education, residence type, employment status, and religion by considering the best-fit model among Cox proportional hazard (Cox-PH) and various accelerated failure time (AFT) survival models. Methods: This study used survival analysis techniques, such as Cox proportional hazard model and accelerated failure time (AFT) models, using data from the Bangladesh Demographic and Health Survey 2022 (BDHS-2022). The Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC) were used to choose the models, and based on these criteria, the log logistic AFT model was identified as the best-fitting model. Results: The women who had an early marriage have a much higher frequency (65.9%) than those who did not have early marriage (34.1%). The log logistic AFT model identified several significant factors influencing early marriage. The hazard ratio of getting early marriage of respondents with primary (HR: 1.017, Conclusion: Early marriage in Bangladesh is influenced by socioeconomic and demographic factors, emphasizing the need for targeted interventions focusing on education, employment, and regional disparities to delay marriage and improve women's social outcomes.
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.