Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship
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 relat...
Main Authors: | , , , |
---|---|
Format: | Journal Article |
Language: | EN |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/10986/5112 |
id |
okr-10986-5112 |
---|---|
recordtype |
oai_dc |
spelling |
okr-10986-51122021-04-23T14:02:21Z Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship Msisha, W. M. Kapiga, S. H. Earls, F. Subramanian, S. V. Adolescent Adult Alcohol Drinking Educational Status Female HIV Infections HIV Seroprevalence Hiv-1 Humans Logistic Models Male Middle Aged Occupations Odds Ratio Prevalence Risk Risk-Taking Sex Factors Social Class Tanzania Young Adult 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-positive (OR 1.54, 95% CI 1.02-2.38), whereas unemployed men had higher risk of being HIV-positive (OR 3.49, 95% CI 1.43-8.58). No marked association was found between increasing education and HIV seroprevalence for men (P = 0.83) and women (P = 0.87). CONCLUSION: Contrary to the prevailing perception that low SES individuals tend to be more vulnerable to HIV-infection, we found a positive association between standard of living and HIV-infection. Strategies aimed at reducing HIV-infection needs to be cognizant of the complex social heterogeneity in the patterns of HIV-infection. 2012-03-30T07:31:20Z 2012-03-30T07:31:20Z 2008 Journal Article Int J Epidemiol 1464-3685 (Electronic) 0300-5771 (Linking) http://hdl.handle.net/10986/5112 EN http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Journal Article Tanzania |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
EN |
topic |
Adolescent Adult Alcohol Drinking Educational Status Female HIV Infections HIV Seroprevalence Hiv-1 Humans Logistic Models Male Middle Aged Occupations Odds Ratio Prevalence Risk Risk-Taking Sex Factors Social Class Tanzania Young Adult |
spellingShingle |
Adolescent Adult Alcohol Drinking Educational Status Female HIV Infections HIV Seroprevalence Hiv-1 Humans Logistic Models Male Middle Aged Occupations Odds Ratio Prevalence Risk Risk-Taking Sex Factors Social Class Tanzania Young Adult Msisha, W. M. Kapiga, S. H. Earls, F. Subramanian, S. V. Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship |
geographic_facet |
Tanzania |
relation |
http://creativecommons.org/licenses/by-nc-nd/3.0/igo |
description |
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-positive (OR 1.54, 95% CI 1.02-2.38), whereas unemployed men had higher risk of being HIV-positive (OR 3.49, 95% CI 1.43-8.58). No marked association was found between increasing education and HIV seroprevalence for men (P = 0.83) and women (P = 0.87). CONCLUSION: Contrary to the prevailing perception that low SES individuals tend to be more vulnerable to HIV-infection, we found a positive association between standard of living and HIV-infection. Strategies aimed at reducing HIV-infection needs to be cognizant of the complex social heterogeneity in the patterns of HIV-infection. |
format |
Journal Article |
author |
Msisha, W. M. Kapiga, S. H. Earls, F. Subramanian, S. V. |
author_facet |
Msisha, W. M. Kapiga, S. H. Earls, F. Subramanian, S. V. |
author_sort |
Msisha, W. M. |
title |
Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship |
title_short |
Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship |
title_full |
Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship |
title_fullStr |
Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship |
title_full_unstemmed |
Socioeconomic Status and HIV Seroprevalence in Tanzania : A Counterintuitive Relationship |
title_sort |
socioeconomic status and hiv seroprevalence in tanzania : a counterintuitive relationship |
publishDate |
2012 |
url |
http://hdl.handle.net/10986/5112 |
_version_ |
1764393995388059648 |