ArticleBMC public health2026
"We were locked in with our trauma" - a mixed-methods study of health pathways among intimate partner violence (IPV) survivors during COVID-19 lockdowns in Ontario.
Article in BMC public health, 2026. 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic disproportionately affected certain populations, with intimate partner violence (IPV) survivors facing heightened risks of adverse health outcomes. This study examined whether women who experienced IPV during Ontario's COVID-19 lockdowns were more likely to report negative behavioural, psychological, and physiological health outcomes compared to women who did not experience IPV .
methodsUsing a convergent mixed-methods design, a cross-sectional survey of Ontario residents and semi-structured interviews with key stakeholders were conducted. The final sample comprised 653 survey respondents who identified as women, 23% of whom reported experiencing IPV during COVID-19 lockdowns (n = 150). A total of 24 interviews were conducted, including 14 IPV survivors and 10 violence against women (VAW) service providers.
resultsQuantitative findings revealed that IPV survivors had significantly higher odds of adverse behavioural outcomes, including increased alcohol (43.3% vs. 21.9%, RRR = 3.39, p < 0.001), tobacco (15.3% vs. 8.8%, RRR = 2.16, p = 0.014), cannabis (23.8% vs. 10.4%, RRR = 3.49, p < 0.001), and illicit substance use (6.8% vs. 0.6%, RRR = 14.31, p < 0.001), as well as greater decreases in sleep quality (61.4% vs. 40.3%, RRR = 3.24, p < 0.001). They also exhibited more polarized help-seeking patterns: increased reliance on formal supports (34.7% vs. 12.9%, RRR = 4.75, p < 0.001) and higher likelihood of decreased informal support (29.5% vs. 17.3%, RRR = 2.53, p = 0.001). Logistic regression further supported that IPV survivors had over twice the odds of reporting poor mental health (aOR = 2.46, 95% CI: 1.27-4.75) and nearly twice the odds of poor physical health (aOR = 1.84, 95% CI: 1.00-3.36). Qualitative insights revealed that structural barriers, trauma, stigma, and loss of autonomy contributed to these adverse outcomes.
conclusionsThese results underscore the bidirectional relationship between mental and physical health and the compounded vulnerabilities exacerbated by crisis conditions. Findings highlight the need to integrate IPV considerations into emergency preparedness and response planning to ensure continuity of care for IPV survivors. As public health emergencies and climate disasters become more frequent, inclusive responses must prioritize those most at risk, including IPV survivors.
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.