Association Between Depressive Symptom Patterns and Clinical Profiles Among Persons Living with HIV

  • N. E. Kelso-Chichetto
  • C. N. Okafor
  • R. L. Cook
  • A. G. Abraham
  • R. Bolan
  • M. Plankey
Original Paper

Abstract

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.

Keywords

HIV Depression Longitudinal Comorbidities 

Supplementary material

10461_2017_1822_MOESM1_ESM.docx (107 kb)
Supplementary material 1 (DOCX 107 kb)

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • N. E. Kelso-Chichetto
    • 1
  • C. N. Okafor
    • 2
  • R. L. Cook
    • 1
  • A. G. Abraham
    • 3
    • 4
  • R. Bolan
    • 5
  • M. Plankey
    • 6
  1. 1.Department of EpidemiologyCollege of Public Health and Health Professions, University of FloridaGainesvilleUSA
  2. 2.Division of Infectious Diseases, Department of MedicineDavid Geffen School of Medicine, University of CaliforniaLos AngelesUSA
  3. 3.Department of OphthalmologyJohns Hopkins Bloomberg School of Public HealthBaltimoreUSA
  4. 4.Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreUSA
  5. 5.Los Angeles LGBT CenterLos AngelesUSA
  6. 6.Department of MedicineGeorgetown University Medical CenterWashingtonUSA

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