Levine Robert S, Briggs Nathaniel C, Kilbourne Barbara S, King William D, Fry-Johnson Yvonne, Baltrus Peter T, Husaini Baqar A, Rust George S
Department of Family and Community Medicine, Meharry Medical College, Nashville, TN 37205, USA.
Am J Public Health. 2007 Oct;97(10):1884-92. doi: 10.2105/AJPH.2005.081489. Epub 2007 Aug 29.
We sought to describe Black-White differences in HIV disease mortality before and after the introduction of highly active antiretroviral treatment (HAART).
Black-White mortality from HIV is described for the nation as a whole. We performed regression analyses to predict county-level mortality for Black men aged 25-84 years and the corresponding Black:White male mortality ratios (disparities) in 140 counties with reliable Black mortality for 1999-2002.
National Black-White disparities widened significantly after the introduction of HAART, especially among women and the elderly. In county regression analyses, contextual socioeconomic status (SES) was not a significant predictor of Black:White mortality rate ratio after we controlled for percentage of the population who were Black and percentage of the population who were Hispanic, and neither contextual SES nor race/ethnicity were significant predictors after we controlled for pre-HAART mortality. Contextual SES, race, and pre-HAART mortality were all significant and independent predictors of mortality among Black men.
Although nearly all segments of the Black population experienced widened post-HAART disparities, disparities were not inevitable and tended to reflect pre-HAART levels. Public health policymakers should consider the hypothesis of unequal diffusion of the HAART innovation, with place effects rendering some communities more vulnerable than others to this potential problem.
我们试图描述在高效抗逆转录病毒治疗(HAART)引入前后,黑人和白人在HIV疾病死亡率上的差异。
描述了整个国家黑人和白人的HIV死亡率。我们进行了回归分析,以预测1999 - 2002年有可靠黑人死亡率数据的140个县中,年龄在25 - 84岁的黑人男性的县级死亡率以及相应的黑人与白人男性死亡率之比(差异)。
HAART引入后,全国范围内黑人和白人的差异显著扩大,尤其是在女性和老年人中。在县级回归分析中,在控制了黑人人口百分比和西班牙裔人口百分比后,背景社会经济地位(SES)并不是黑人与白人死亡率之比的显著预测因素;在控制了HAART治疗前的死亡率后,背景SES和种族/族裔均不是显著预测因素。背景SES、种族和HAART治疗前的死亡率都是黑人男性死亡率的显著且独立的预测因素。
尽管几乎所有黑人人群在HAART治疗后差异都有所扩大,但这些差异并非不可避免,且往往反映了HAART治疗前的水平。公共卫生政策制定者应考虑HAART创新不均衡传播的假设,即地区效应使一些社区比其他社区更容易受到这一潜在问题的影响。