Sexual dysfunction (SD) is prevalent in patients with mental health disorders and can significantly impair their quality of life. Early recognition of SD in a clinical setting may help patients and clinicians to optimize treatment options of SD and/or other primary diagnoses taking SD risk into account and may facilitate treatment compliance. SD identification is often overlooked in clinical practice; we seek to explore whether patients with a high risk of SD can be identified at the individual level by assessing known risk factors via a machine learning (ML) model.
View Article and Find Full Text PDFThis study investigated how COVID-19 has affected the wellness of a group of Inuit youth leaders in Nunavut in the context of their involvement with an ongoing mental health research initiative, the [] project. The study had three goals: (1) to understand how the pandemic has affected leaders' perceived involvement in the ; (2) to build knowledge around how the pandemic has impacted the daily life and wellbeing of youth in Nunavummiut communities; and (3) to acquire a culturally specific understanding of their coping mechanisms and resilience strategies through the lens of (IQ). Nine Inuit youth were interviewed virtually about their participation in , their life during the pandemic, and their coping strategies.
View Article and Find Full Text PDFTher Adv Psychopharmacol
January 2018
Sexual dysfunction (SD) is pervasive and underreported, and its effects on quality of life are underestimated. Due in part to its bidirectional relationship with depression, SD can be difficult to diagnose; it is also a common side effect of many antidepressants, leading to treatment noncompliance. While physicians often count on patients to spontaneously report SD, treatment is optimized when the clinician instead performs a thorough assessment of sexual functioning before and during drug therapy using a standardized questionnaire such as the Arizona Sexual Experiences Scale (ASEX).
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