Sexual violence (SV) is common; however, the prevalence of SV and its long term sequela vary geographically and among subpopulations within the USA. As such, the aims of this study are the following: (1) to determine the prevalence of SV, (2) to identify correlates of SV, and (3) to determine if SV is associated with depression among male and female risky drug users in urban Federally Qualified Health Centers (FQHCs) in Los Angeles. This study includes adult patients of five urban FQHCs who self-reported risky drug use. We identified survivors of SV and those experiencing depression through survey questions that queried, before or after age 18, "Were you ever sexually assaulted, molested or raped?" and with the RAND Mental Health Index (MHI-5). We utilized Pearson's chi-square tests to assess predictors of SV and logistic regression to assess for an association between SV and depression. Data collection took place from February 2011 to November 2012. Of the 334 study patients, 49% of females and 25% of males reported surviving SV. Exposure to SV, (both before 18 years of age and after 18 years of age) was the strongest predictor of depression among men and women in this study (OR 4.7, p < 0.05). These data demonstrate that sexual violence is prevalent in this urban FQHC population and is strongly associated with depression. Providers should consider screening both men and women with risky drug use for SV while health systems should continue to align mental health and primary care services to appropriately care for these extremely vulnerable patients. Trial Registration Clinical Trials. gov ID NCT01942876, Protocol ID DESPR DA022445, http://www.clinicaltrials.gov.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862699PMC
http://dx.doi.org/10.1007/s11524-017-0213-7DOI Listing

Publication Analysis

Top Keywords

risky drug
12
sexual violence
8
association depression
8
depression male
8
male female
8
urban federally
8
federally qualified
8
qualified health
8
health centers
8
18 years age
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!