Objective To examine the relationship between multiple dimensions of socioeconomic status (SES) and HIV seroprevalence in Tanzania. Methods Using a large nationally representative sample of 7515 sexually active adults drawn from the 2003–04 Tanzania HIV/AIDS Indicator Survey, we analysed the relationship between multiple SES measures and HIV seroprevalence using weighted logistic regression models. Results In adjusted models, individuals in the highest quintile of standard of living had increased odds ratio (OR) of being HIV-positive (male: OR 2.38, 95 % CI 1.17–4.82; female: OR 3.74, 95 % CI 2.16–6.49). Occupational status was differentially associated with HIV in men and women; women in professional jobs had higher OR of being HIV-positiv...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Socioeconomic inequality is a major factor to consider in the prevention of human immunodeficiency v...
In Eastern and Southern Africa, HIV prevalence was highest among higher socioeconomic groups during ...
Objectives To analyse the association between socio-economic status (SES) and HIV in Manhiça, a dist...
Tanzania has a generalised AIDS epidemic but the estimated adult HIV prevalence of 6% is much lower ...
OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV i...
Background. There is controversy on the association between socioeconomic status (SES) and HIV infec...
OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV ...
OBJECTIVE: HIV prevalence trends suggest that the epidemic is stable or declining in many sub-Sahara...
IntroductionExtant studies universally document a positive gradient between socioeconomic status (SE...
Extant studies universally document a positive gradient between socioeconomic status (SES) and healt...
In 2020, 35% of all HIV-positive people in the world lived in Eastern and Southern Africa. This work...
The objective of the study was to establish the extent to which socio-economic status affects the ac...
Using data from the Demographics and Health Surveys for Tanzania in 2003–2004, 2007–2008 and 2011–20...
In Eastern and Southern Africa, HIV prevalence was highest among higher socioeconomic groups during ...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Socioeconomic inequality is a major factor to consider in the prevention of human immunodeficiency v...
In Eastern and Southern Africa, HIV prevalence was highest among higher socioeconomic groups during ...
Objectives To analyse the association between socio-economic status (SES) and HIV in Manhiça, a dist...
Tanzania has a generalised AIDS epidemic but the estimated adult HIV prevalence of 6% is much lower ...
OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV i...
Background. There is controversy on the association between socioeconomic status (SES) and HIV infec...
OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV ...
OBJECTIVE: HIV prevalence trends suggest that the epidemic is stable or declining in many sub-Sahara...
IntroductionExtant studies universally document a positive gradient between socioeconomic status (SE...
Extant studies universally document a positive gradient between socioeconomic status (SES) and healt...
In 2020, 35% of all HIV-positive people in the world lived in Eastern and Southern Africa. This work...
The objective of the study was to establish the extent to which socio-economic status affects the ac...
Using data from the Demographics and Health Surveys for Tanzania in 2003–2004, 2007–2008 and 2011–20...
In Eastern and Southern Africa, HIV prevalence was highest among higher socioeconomic groups during ...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Socioeconomic inequality is a major factor to consider in the prevention of human immunodeficiency v...
In Eastern and Southern Africa, HIV prevalence was highest among higher socioeconomic groups during ...