840
Views
22
CrossRef citations to date
0
Altmetric
Depression

Associations between HIV-related stigma, self-esteem, social support, and depressive symptoms in Namibia

Pages 1570-1576 | Received 07 Apr 2017, Accepted 15 Sep 2017, Published online: 11 Oct 2017
 

ABSTRACT

Objective: The current study sought to investigate the association between HIV-related stigma, self-esteem, social support, and depression of people living with HIV and AIDS (PLWHA) in Namibia.

Method: Purposive sampling was used to recruit a total of 124 men and women living with HIV/AIDS in the Katima Mulilo region of northern Namibia. A cross-sectional survey was used to collect information on demographics, self-esteem, social support, HIV-related stigma, and depression.

Results: Correlation analysis revealed that HIV-related stigma, self-esteem, and social support were all significantly correlated with depression. Further, Ordinary Least Squares (OLS) regression analysis indicated that HIV-related stigma was the largest risk factor and self-esteem was the largest protective factor with respect to depressive symptoms.

Discussion: Findings indicated the necessity of appropriate assessment and intervention for psychosocial distress among PLWHA. Helping professionals should design evidence-based interventions that address individual and societal challenges that impact people living with HIV and AIDS.

Disclosure statement

No potential conflict of interest was reported by the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 688.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.