A Four-Country Study of Strangulation-Related Alterations in Consciousness in Women Who Have Experienced Intimate Partner Violence: Co-Occurrence with Traumatic Brain Injuries and Measures of Psychological Distress
Bibliographic record
Abstract
At least one in three women experience intimate partner violence (IPV) in their lifetime. The most commonly sustained IPV-related brain injuries include strangulation-related alterations in consciousness (S-AICs) and traumatic brain injuries (TBIs). Moreover, survivors of IPV-related S-AICs and/or TBIs often demonstrate psychological distress such as depression, anxiety, and post-traumatic stress. However, the co-occurrence of S-AICs and TBIs, and whether such TBIs may be moderate to severe, has not been systematically examined, and most data have been collected from women in North America. The purpose of this study was to examine the co-occurrence of IPV-related S-AICs and TBIs across a range of geographical locations and to determine the extent to which these S-AICs are related to psychological distress. Women who had experienced physical IPV ( n = 213) were included in this secondary analysis of retrospectively collected data across four countries (Canada, the United States, Spain, and Colombia). The Brain Injury Severity Assessment (BISA) was used to assess IPV-related BI across all sites. Because various questionnaires were employed to assess levels of depression, anxiety, and post-traumatic stress disorder at each site, we created a standardized composite score by converting raw scores into Z -scores for analysis. Mann–Whitney U tests and chi-square tests were conducted to examine differences between women with and without experience of S-AICs and to discover if there was a relationship between the occurrence of S-AICs and TBIs. Analysis of variance and analysis of covariance (to control for the potential confounding effects of age, education, and non IPV-related TBI) were used to compare levels of psychological distress in women who had or had not experienced S-AICs. Approximately, 67% of women sustained at least one IPV-related BI (i.e., TBI and/or S-AIC). In a subsample of women who sustained at least one IPV-related BI, approximately 37% sustained both S-AICs and TBIs, 2% sustained only S-AICs (with no TBIs), and 61% sustained TBIs exclusively (with no S-AICs). Furthermore, women who had sustained S-AICs (with or without a TBI) were more likely to have experienced a moderate-to-severe BI than those who had not sustained an S-AIC (BISA severity subscale: U = 3939, p = 0.006). In addition, women who experienced S-AICs (with or without a TBI) reported higher levels of psychological distress compared with women who never experienced S-AICs, irrespective of whether they occurred once or multiple times. These data underscore the importance of assessing for S-AIC in women who have experienced IPV and when present, to also assess for TBIs and the presence of psychological distress. Unfortunately, there were methodological differences across sites precluding cross-site comparisons. Nonetheless, data were collected across four culturally and geographically diverse countries and, therefore, highlight IPV-related BIs as a global issue that needs to be aggressively studied with policies established and then implemented to address findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".