Anxiety and depression among HIV patients of the infectious disease department of Conakry University Hospital in 2018.
Alioune CamaraM S SowA TouréF B SakoI CamaraK SoumaoroA DelamouM DoukouréPublished in: Epidemiology and infection (2020)
Anxiety and depression continue to be significant comorbidities for people with human immunodeficiency virus (HIV) infection. The aim of this study was to determine the prevalence of anxiety and depression disorder among HIV patients at Conakry, Guinea. In this cross-sectional study, we described socio-demographic, clinical and psychosocial data related to anxiety and depression in 160 HIV patients of the University Teaching Hospital, Conakry, Guinea. The Hospital Anxiety and Depression Scale (HADS) was used for measuring depression and anxiety in the prior month. The HADS score of ⩾8 was used to identify possible cases of depression and anxiety. Multivariate logistic regression analyses were performed to identify factors associated with symptoms of anxiety and depression. The prevalence of comorbid depression and anxiety among HIV patients was 8.1% and the prevalence of anxiety and depressive symptoms among HIV-infected patients was 13.8% and 16.9%, respectively. Multivariate analysis showed that individuals having BMI ⩽ 18 (AOR = 3.62, 95% confidence interval (CI) 1.37-9.57) and who did not receive antiretroviral treatment (AOR = 18.93, 95% CI 1.88-188.81) were significantly more likely to have depressive symptoms. Similarly, having age <40 years (AOR = 2.81, 95% CI 1.04-7.58) was also significantly associated with anxiety. Prevalence of symptoms of anxiety and depression was high in these HIV patients. This suggests a need for training on the screening and management of anxiety and depression among HIV patients.
Keyphrases
- human immunodeficiency virus
- antiretroviral therapy
- hiv infected
- end stage renal disease
- hiv positive
- depressive symptoms
- hiv infected patients
- hepatitis c virus
- ejection fraction
- newly diagnosed
- chronic kidney disease
- hiv aids
- prognostic factors
- hiv testing
- healthcare
- patient reported outcomes
- machine learning
- sleep quality
- adverse drug
- combination therapy