Association between HIV infection and socio-economic status: evidence from a semirural area of southern Mozambique
File(s)pons-duran2016_2278.pdf (716.57 KB)
Accepted version
OA Location
Author(s)
Type
Journal Article
Abstract
Objectives
To analyse the association between socio-economic status (SES) and HIV in Manhiça, a district of Southern Mozambique with one of the highest HIV prevalences in the world.
Methods
Data were gathered from two cross-sectional surveys performed in 2010 and 2012 among 1511 adults and from the household census of the district's population. Fractional polynomial logit models were used to analyse the association between HIV and SES, controlling for age and sex and taking into account the nonlinearity of covariates. The inequality of the distribution of HIV infection with regard to SES was computed through a concentration index.
Results
Fourth and fifth wealth quintiles, the least poor, were associated with a reduced probability of HIV infection compared to the first quintile (OR = 0.595, P-value = 0.009 and OR = 0.474, P-value < 0.001, respectively). Probability of HIV infection peaked at 36 years and then fell, and was always higher for women regardless of age and SES. HIV infection was unequally distributed across the SES strata.
Conclusions
Despite the high HIV prevalence across the entire population of Manhiça, the poorest are at greatest risk of being HIV infected. While women have a higher probability of being HIV positive than men, both sexes showed the same infection reduction at higher levels of SES. HIV interventions in the area should particularly focus on the poorest and on women without neglecting anyone else, as the HIV risk is high for everyone.
To analyse the association between socio-economic status (SES) and HIV in Manhiça, a district of Southern Mozambique with one of the highest HIV prevalences in the world.
Methods
Data were gathered from two cross-sectional surveys performed in 2010 and 2012 among 1511 adults and from the household census of the district's population. Fractional polynomial logit models were used to analyse the association between HIV and SES, controlling for age and sex and taking into account the nonlinearity of covariates. The inequality of the distribution of HIV infection with regard to SES was computed through a concentration index.
Results
Fourth and fifth wealth quintiles, the least poor, were associated with a reduced probability of HIV infection compared to the first quintile (OR = 0.595, P-value = 0.009 and OR = 0.474, P-value < 0.001, respectively). Probability of HIV infection peaked at 36 years and then fell, and was always higher for women regardless of age and SES. HIV infection was unequally distributed across the SES strata.
Conclusions
Despite the high HIV prevalence across the entire population of Manhiça, the poorest are at greatest risk of being HIV infected. While women have a higher probability of being HIV positive than men, both sexes showed the same infection reduction at higher levels of SES. HIV interventions in the area should particularly focus on the poorest and on women without neglecting anyone else, as the HIV risk is high for everyone.
Date Issued
2016-10-24
Date Acceptance
2016-10-01
Citation
Tropical Medicine and International Health, 2016, 21 (12), pp.1513-1521
ISSN
1360-2276
Publisher
Wiley
Start Page
1513
End Page
1521
Journal / Book Title
Tropical Medicine and International Health
Volume
21
Issue
12
Copyright Statement
© 2016 John Wiley & Sons Ltd. This is the accepted version of the following article: Pons-Duran, C., González, R., Quintó, L., Munguambe, K., Tallada, J., Naniche, D., Sacoor, C. and Sicuri, E. (2016), Association between HIV infection and socio-economic status: evidence from a semirural area of southern Mozambique. Trop Med Int Health, 21: 1513–1521, which has been published in final form at https://dx.doi.org/10.1111/tmi.12789
Subjects
Science & Technology
Life Sciences & Biomedicine
Public, Environmental & Occupational Health
Tropical Medicine
Africa South of the Sahara
HIV
HIV Seroprevalence
Social Class
Social Determinants of Health
SUB-SAHARAN AFRICA
SOCIOECONOMIC-STATUS
FRACTIONAL POLYNOMIALS
RISK-FACTORS
POVERTY
HEALTH
WEALTH
COUNTRIES
HIV/AIDS
WOMEN
Publication Status
Published