Socioeconomic Differences in the Impact of HIV Infection on Workforce Participation in France in the Era of Highly Active Antiretroviral Therapy
Male
Epidemiology
HIV Infections
310
MESH: Antiretroviral Therapy, Highly Active
0302 clinical medicine
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases
Antiretroviral Therapy, Highly Active
HIV Seropositivity
Substance Abuse, Intravenous
10. No inequality
MESH: HIV Seronegativity
MESH: Antiretroviral Therapy
MESH: Middle Aged
MESH: Employment
4. Education
MESH: HIV Infections
Middle Aged
16. Peace & justice
3. Good health
8. Economic growth
[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases
HIV/AIDS
Educational Status
Female
France
Intravenous
Attitude to Health
Prejudice
MESH: Prejudice
Adult
Employment
MESH: Socioeconomic Factors
MESH: Attitude to Health
MESH: Social Class
03 medical and health sciences
MESH: HIV Seropositivity
MESH: Cross-Sectional Studies
HIV Seronegativity
616
Humans
Highly Active
MESH: Humans
MESH: Substance Abuse
MESH: Adult
MESH: Male
MESH: France
Cross-Sectional Studies
Social Class
Socioeconomic Factors
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Chronic Disease
MESH: Substance Abuse, Intravenous
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
MESH: Educational Status
MESH: Female
DOI:
10.2105/ajph.2005.081083
Publication Date:
2007-02-03T01:16:38Z
AUTHORS (4)
ABSTRACT
We sought to measure the difference in employment rates between HIV-seropositive and HIV-seronegative persons establish whether this varied according HIV-infected persons' socioeconomic position as defined by education level.We used data from VESPA (VIH: Enquête Sur les Personnes Atteintes) study, a large cross-sectional survey conducted among nationally representative sample of 2932 patients France. Age-, gender-, nationality-, education-standardized were estimated with French general population reference. The differences computed overall level.Compared that population, rate was 25% lower (95% confidence interval [CI]=16%, 32%) diagnosed before 1994 9% CI = 5%, 16%) onward. significantly higher low level. highly educated onward did not differ population.HIV infection associated decreased workforce participation those level but individuals.
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