The impact of discomfort with HIV status and hopelessness on depressive symptoms among adolescents living with HIV in Uganda.
Patricia A Cavazos-RehgChristine XuJacob BorodovskyErin KassonWilliam ByansiProscovia NabunyaOzge Sensoy BaharFred M SsewamalaPublished in: AIDS care (2020)
Introduction: Discomfort with and reluctance to disclose HIV status can lead to depression, social isolation, and poor medication adherence; we examined relationships among these variables within a sample of adolescents living with HIV in Uganda. Methods: We used baseline data from the Suubi + Adherence study, which recruited a total of 702 adolescents (ages 10-16 years) living with HIV in southwestern Uganda. Structural equation models were conducted separately among in-school adolescents and out-of-school adolescents to assess associations between discomfort level with HIV status and depressive symptoms and if this association was mediated by hopelessness. Results: Out-of-school adolescents had significantly higher depression scores compared with those in-school youth (M = 6.24 vs. M = 5.03, p < 0.001). Although high discomfort level with HIV status was significantly associated with higher depression scores among both in-school adolescents and out-of-school adolescents, this association among out-of-school adolescents (B = 0.49, 95%CI: 0.19, 0.79), was more substantial than for in-school adolescents (B = 0.10, 95%CI: 0.03, 0.17). Discussion: One's discomfort with their HIV status and the extent to which they are hopeful about the future can contribute to the development of depressive symptoms and these factors need to be considered in the development of assessments and interventions for the treatment of depression among adolescents living with HIV.
Keyphrases
- physical activity
- depressive symptoms
- young adults
- mental health
- sleep quality
- antiretroviral therapy
- hiv infected
- hiv positive
- human immunodeficiency virus
- hiv testing
- hepatitis c virus
- hiv aids
- social support
- men who have sex with men
- machine learning
- adipose tissue
- high school
- insulin resistance
- deep learning
- artificial intelligence