Examination of inequalities in HIV/AIDS mortality in the United States from a fundamental cause perspective

Am J Public Health. 2010 Jun;100(6):1053-9. doi: 10.2105/AJPH.2009.170241. Epub 2010 Apr 19.

Abstract

Objectives: We examined changes in socioeconomic status (SES) and Black to White inequalities in HIV/AIDS mortality in the United States before and after the introduction of highly active antiretroviral therapy (HAART).

Methods: Taking a fundamental cause perspective, we used negative binomial regression to analyze trends in county-level gender-, race-, and age-specific HIV/AIDS mortality rates among those aged 15 to 64 years during the period 1987-2005.

Results: Although HIV/AIDS mortality rates decreased once HAART became available, the declines were not uniformly distributed among population groups. The associations between SES and HIV/AIDS mortality and between race and HIV/AIDS mortality, although present in the pre-HAART period, were significantly greater in the peri- and post-HAART periods, with higher SES and White race associated with the greatest declines in mortality during the post-HAART period.

Conclusions: Our findings support the fundamental cause hypothesis, as the introduction of a life-extending treatment exacerbated inequalities in HIV/AIDS mortality by SES and by race. In addition to a strong focus on factors that improve overall population health, more effective public health interventions and policies would facilitate an equitable distribution of health-enhancing innovations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acquired Immunodeficiency Syndrome / drug therapy
  • Acquired Immunodeficiency Syndrome / mortality*
  • Adolescent
  • Adult
  • Antiretroviral Therapy, Highly Active / mortality
  • Antiretroviral Therapy, Highly Active / statistics & numerical data
  • Binomial Distribution
  • Black People / statistics & numerical data
  • Confidence Intervals
  • Female
  • HIV Infections / drug therapy
  • HIV Infections / mortality*
  • Health Status Disparities*
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Regression Analysis
  • Socioeconomic Factors
  • United States / epidemiology
  • White People / statistics & numerical data
  • Young Adult