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. 2023 Jan;8(3-4):80-89.
doi: 10.1159/000527363. Epub 2022 Oct 7.

Sex Differences in Health Conditions Associated with Sexual Assault in a Large Hospital Population

Affiliations

Sex Differences in Health Conditions Associated with Sexual Assault in a Large Hospital Population

Allison M Lake et al. Complex Psychiatry. 2023 Jan.

Abstract

Introduction: Sexual assault is an urgent public health concern with both immediate and long-lasting health consequences, affecting 44% of women and 25% of men during their lifetimes. Large studies are needed to understand the unique healthcare needs of this patient population.

Methods: We mined clinical notes to identify patients with a history of sexual assault in the electronic health record (EHR) at Vanderbilt University Medical Center (VUMC), a large university hospital in the Southeastern USA, from 1989 to 2021 (N = 3,376,424). Using a phenome-wide case-control study, we identified diagnoses co-occurring with disclosures of sexual assault. We performed interaction tests to examine whether sex modified any of these associations. Association analyses were restricted to a subset of patients receiving regular care at VUMC (N = 833,185).

Results: The phenotyping approach identified 14,496 individuals (0.43%) across the VUMC-EHR with documentation of sexual assault and achieved a positive predictive value of 93.0% (95% confidence interval = 85.6-97.0%), determined by manual patient chart review. Out of 1,703 clinical diagnoses tested across all subgroup analyses, 465 were associated with sexual assault. Sex-by-trauma interaction analysis revealed 55 sex-differential associations and demonstrated increased odds of psychiatric diagnoses in male survivors.

Discussion: This case-control study identified associations between disclosures of sexual assault and hundreds of health conditions, many of which demonstrated sex-differential effects. The findings of this study suggest that patients who have experienced sexual assault are at risk for developing wide-ranging medical and psychiatric comorbidities and that male survivors may be particularly vulnerable to developing mental illness.

Keywords: Clinical informatics; Electronic health records; Sex differences; Women's health.

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Conflict of interest statement

The authors have declared no conflicts of interest.

Figures

Fig. 1
Fig. 1
Psychiatric phenotypic associations with sexual assault. Log10-scale forest plots displaying ORs with 95% CI for adjusted associations between sexual assault and all tested psychiatric phecodes in sex-combined analyses. Associations achieving statistical significance are colored green. Related phecodes are grouped together (for example, the “Antisocial/borderline personality DO” phecode [301.2] is related to its parent phecode “Personality DOs” [301]). Red dashed line indicates an OR of 1. DO, disorder.
Fig. 2
Fig. 2
Nonpsychiatric associations with sexual assault. PheWAS plot from sex-combined analysis displaying −log10(p value) for all nonpsychiatric phecodes analyzed. Dashed red line indicates significance threshold (Bonferroni-corrected p < 0.05).
Fig. 3
Fig. 3
History of sexual assault increases odds of clinical phenotypes in a sex-differential manner. For each of the 55 phenotypes with significant sexual-assault-by-sex interaction effects, log10-scale odds ratio (OR) and 95% CI is plotted separately by sex for nonpsychiatric phecodes (left) and psychiatric phecodes (right). The ORs correspond to the sex-stratified associations between sexual assault and each phenotype. Associations are grouped by related phenotypes. Red dashed line indicates an OR of 1. DO, disorder.

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