We have located links that may give you full text access.
Association Between Depressive Symptom Patterns and Clinical Profiles Among Persons Living with HIV.
AIDS and Behavior 2018 May
To describe patterns of depressive symptoms across 10-years by HIV status and to determine the associations between depressive symptom patterns, HIV status, and clinical profiles of persons living with HIV from the Multicenter AIDS Cohort Study (N = 980) and Women's Interagency HIV Study (N = 1744). Group-based trajectory models were used to identify depressive symptoms patterns between 2004 and 2013. Multinomial logistic regressions were conducted to determine associations of depression risk patterns. A 3-group model emerged among HIV-negative women (low: 58%; moderate: 31%; severe: 11%); 5-groups emerged among HIV-positive women (low: 28%; moderate: 31%; high: 25%; decreased: 7%; severe: 9%). A 4-group model emerged among HIV-negative (low: 52%; moderate: 15%; high: 23%; severe: 10%) and HIV-positive men (low: 34%; moderate: 34%; high: 22%; severe: 10%). HIV+ women had higher odds for moderate (adjusted odds ratio [AOR] 2.10, 95% CI 1.63-2.70) and severe (AOR 1.96, 95% CI 1.33-2.91) depression risk groups, compared to low depression risk. HIV+ men had higher odds for moderate depression risk (AOR 3.23, 95% CI 2.22-4.69), compared to low risk. The Framingham Risk Score, ART use, and unsuppressed viral load were associated with depressive symptom patterns. Clinicians should consider the impact that depressive symptoms may have on HIV prognosis and clinical indicators of comorbid illnesses.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app