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Declining Prevalence of Probable Depression Among Patients Presenting for Antiretroviral Therapy in Rural Uganda: The Role of Early Treatment Initiation

Overview of attention for article published in AIDS and Behavior, May 2014
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79 Mendeley
Title
Declining Prevalence of Probable Depression Among Patients Presenting for Antiretroviral Therapy in Rural Uganda: The Role of Early Treatment Initiation
Published in
AIDS and Behavior, May 2014
DOI 10.1007/s10461-014-0785-0
Pubmed ID
Authors

Brian T. Chan, Sheri D. Weiser, Yap Boum, Jessica E. Haberer, Annet Kembabazi, Peter W. Hunt, Jeffrey N. Martin, A. Rain Mocello, David R. Bangsberg, Alexander C. Tsai

Abstract

Little is known about trends in depression at antiretroviral therapy (ART) initiation among people living with HIV (PLHIV) in low- and middle-income countries. We used data from an ongoing cohort of treatment-naïve PLHIV in rural Uganda to estimate secular trends in depression among PLHIV at ART initiation. We fitted linear regression models with depression symptom severity as the outcome variable and year of cohort entry (2005-2012) as the explanatory variable, adjusting for socio-demographic variables and assessing physical health score, body mass index (BMI), and CD4 count as potential mediators of a secular trend in depression symptom severity. There was a statistically significant negative association between year of entry and depression symptom severity, suggesting a 3.1 % relative decline in the mean depression symptom severity score at ART initiation in each year of study recruitment after the first year. This trend remained statistically significant after inclusion of baseline socio-demographic characteristics to the model and appeared to be driven by improved physical health scores, but not CD4 count or BMI.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Researcher 11 14%
Student > Ph. D. Student 11 14%
Student > Bachelor 10 13%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 19 24%
Readers by discipline Count As %
Medicine and Dentistry 27 34%
Psychology 9 11%
Nursing and Health Professions 9 11%
Agricultural and Biological Sciences 3 4%
Neuroscience 2 3%
Other 7 9%
Unknown 22 28%