ArticleHeliyon2023
Sociodemographic determinants of child mortality based on mothers' attitudes toward partner violence: Evidence from Bangladesh.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Global burden and trends of depression among women of childbearing age, 1990-2021.Public health in practice (Oxford, England) · 2026Article
- Determinants of multiple modes of failure in child mortality in Bangladesh: fine and gray modeling approach.Journal of health, population, and nutrition · 2026Article
- Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.PloS one · 2025Article
- How the body tells the story: using the nonverbal cues of trauma between mothers and toddlers to mark a change in maternal attitudes during Clinician-Assisted Videofeedback Exposure Sessions.Frontiers in psychology · 2025Article
- Risk factors of children's low birth weight and infant mortality in Bangladesh: Evidence from binary logistic regression and Cox PH models.Health science reports · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bangladesh, a lower-middle-income country in South Asia, has achieved a significant reduction in child mortality over the last three decades from 151 to 40 per 1000 live births. However, child mortality is still considered high, which may be attributed to a lack of awareness among mothers regarding the risk factors, particularly their perceptions of intimate partner violence (IPV). To investigate the effect of demographic and socioeconomic factors of women on child mortality, this study extracted data from the cross-sectional survey of Bangladesh Multiple Indicator Cluster Survey (MICS) 2019. The data were analyzed using a Poisson regression model to assess women's perceptions and exposure to physical violence in the last three years preceding the survey and their impact on the risk of child mortality. The results indicated that approximately 26% of the participants justified domestic violence under certain circumstances. Moreover, the prevalence of child mortality was higher among those who thought that IPV is acceptable than among those who considered such violence to be unjustified. Among women who are strongly averse to partner violence, the risk of child mortality was significantly lower in those who had higher levels of education, higher household income, internet usage experience, first child at 20 years or later, frequent access to mass media, and one or two children ever born. Moreover, child mortality rates also varied across geographical areas, with children from Sylhet and Mymenshing being the most vulnerable. The data indicates women's intolerable attitudes toward partner violence not only improve their status but also increase the survival chances of their young children.
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.