BackgroundWomen are almost twice as likely to develop depression than men, but men commit suicide more often. One explanation for this paradox is that current depression inventories do not fully capture typical male symptoms of depression. Several studies showed that most depression symptoms in men are masked by externalizing behaviors, such as aggressiveness, addiction, and risky behavior. Here, we explored the differences in depression symptoms between men and women in a forensic psychiatric sample.MethodsWe screened 182 forensic psychiatric patients and selected a matched sample (21 women and 21 men). External symptoms of depression were assessed with the Gender-Sensitive Depression Screening (GSDS) and internal symptoms with the Beck Depression Inventory Revision.ResultsAlthough externalizing behaviors were similar in both groups, we found a significant relationship between external and internal depression symptoms only in men. In addition, male forensic patients with a history of suicide had higher scores in the GSDS, whereas female patients with a history of suicide had higher scores in the Beck Depression Inventory Revision.DiscussionThe finding that the GSDS detected depression symptoms in men indicates that this instrument might be useful for developing assessments to prevent suicide in forensic practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.