ArticleInternational journal of public health2018
Associations of intimate partner violence with screening for mental health disorders among women in urban Bangladesh.
Article in International journal of public health, 2018. 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.
- Trial
- The moderating effects of social norms and attitudes on the relationship between intimate partner violence and depressive symptoms among women in two provinces of Nepal.Social psychiatry and psychiatric epidemiology · 2026Article
- Women's empowerment and health: nationwide insights on selected non-communicable conditions in Bangladesh.BMC public health · 2026Article
- Socio-demographic factors associated with mental health disorders among rural women in Mymensingh, Bangladesh.Frontiers in psychiatry · 2025Article
- Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh.Global mental health (Cambridge, England) · 2025Article
- Adapting to change: Exploring reverse migration as a coping strategy among internal migrants in Bangladesh.Heliyon · 2023Article
- Clinical and psychosocial factors associated with domestic violence among men and women in Kandy, Sri Lanka.PLOS global public health · 2022Article
- Social norms and the association between intimate partner violence and depression in rural Bangladesh-a multilevel analysis.Social psychiatry and psychiatric epidemiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe examined the association between intimate partner violence (IPV) and screening for depression in Bangladesh, a country with high prevalence of IPV and lack of data, awareness and provider infrastructure for mental illness.
methodsWe used data from a representative sample of 11,202 women from the 2006 Bangladesh Urban Health Survey. Elements of social learning theory were used to examine the association. Additionally, we examined the interaction effect of experiencing IPV and justification of IPV on screening for mental health disorders.
resultsResults indicate that women who experienced IPV were significantly more likely to be screened for mental health disorders (AOR = 2.09; 95% CI = 1.86-2.34). However, the direction of this association is reversed for women who justify various forms of IPV to varying degrees.
conclusionsThese findings reflect the importance of how women's perception of violence may influence their mental health. Our results indicate a counter-intuitive association, given that we found that women's justification of IPV is adaptive for them in terms of preventing symptoms of mental health problems and have potential to inform future public health policy and research.
Indexed as
Identifiers
29974130What 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.