ArticleBMC public health2022
Domestic violence and associated factors during COVID-19 epidemic: an online population-based study in Iran.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- A systematic review of infectious disease outbreaks and violence against women and girls: changes in magnitude, mechanisms and lessons for the future.BMJ global health · 2026Pooled it
- The imperative for universal screening of domestic violence: Social determinants of health disparities during COVID-19 within New Jersey.Public health in practice (Oxford, England) · 2025Article
- Review
- Intimate partner violence during pregnancy in COVID-19 pandemic: a cross-sectional study from South-west of Iran.BMC public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe novel coronavirus disease 2019 has severely affected communities around the world. Fear and stress of being infected, along with pressure caused by lockdown, prevention protocols, and the economic downturn, increased tension among people, which consequently led to the rise of domestic violence (DV). Therefore, this study was conducted to determine the rate of change in DV and its associated factors during the COVID-19 epidemic in Shiraz, Iran.
methodsIn this cross-sectional study, 653 individuals with the age of over 15 years from Shiraz were participated through snowball sampling and filled out an online questionnaire through the WhatsApp platform. A 51-item, self-administered and multidimensional (knowledge, attitude, and practice) questionnaire was designed and assessed 653 participants. The gathered data was analyzed using SPSS software (version 25), and variables with a p-value of less than 0.05 were considered statistically significant.
resultsIn this study, 64.2% of the respondents were within the age range of 31-50 years, and 72.6% of the subjects were female. Furthermore, 73.8 and 73.0% of the individuals were married and educated for over 12 years, respectively. The DV increased by 37.5% during the quarantine period, compared to before the pandemic. The emotional type was the most common type of violence; the sexual type was the least frequent. Multivariate analysis indicated that infection with COVID-19, drug use, high level of co-living observation of anti-COVID prevention protocols, and lower level of physical activity during the quarantine period had a positive and significant association with the occurrence of DV.
conclusionBased on the obtained results, it is required to implement effective harm-reduction policies and measures in the community due to the increasing rate of DV during the COVID-19 epidemic.
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.