Thomas James C, Gaffield Mary E
Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599-7435, USA.
Ethn Dis. 2003 Summer;13(3):362-8.
We sought to identify characteristics of counties in the southeastern United States associated with endemically high rates of gonorrhea. In particular, we were interested in aspects of race other than the proportion of Blacks in a population, including the potential influence of under-reporting of infections.
The associations between the characteristics of counties in 1990, and the rates of reported gonorrhea from 1986 to 1995, were estimated with multivariable logistic regression.
14 states in the southeastern region of the United States.
835 counties and county equivalents in the 14 southeastern states.
The odds of having an endemically high county-level rate of gonorrhea.
The variables with a strong effect on endemically high rates of gonorrhea included racial residential isolation in the absence of low income dualism (odds ratio [OR]: 210.84, 95% confidence interval [CI]: 19.35, 999.00), and Black-White income dualism in communities with few female-headed households (OR: 4.57, 95% CI: 2.68, 7.80). The percentage of Blacks in the population that was Black had little or no association with the rate of gonorrhea. These estimates were relatively robust when subjected to a sensitivity analysis of potential under-reporting of gonorrhea.
Previous studies have demonstrated that a high percentage of Blacks in a population is the strongest predictor of high rates of gonorrhea. We found, however, that when variables measuring aspects of social structure, such as a race-based income distribution, and de facto residential segregation, were included in the model, the proportion of Blacks no longer had an effect on rates of gonorrhea. Progress in lowering endemically high disease rates will require attention being paid to community racial and class dynamics.
我们试图确定美国东南部各县与淋病地方高发病率相关的特征。特别是,我们对人口中黑人比例以外的种族方面感兴趣,包括感染报告不足的潜在影响。
采用多变量逻辑回归估计1990年各县特征与1986年至1995年报告的淋病发病率之间的关联。
美国东南部地区的14个州。
东南部14个州的835个县及相当于县的地区。
淋病地方高发病率的县的患病几率。
对淋病地方高发病率有强烈影响的变量包括在没有低收入二元性的情况下的种族居住隔离(优势比[OR]:210.84,95%置信区间[CI]:19.35,999.00),以及在女性户主家庭较少的社区中的黑白收入二元性(OR:4.57,95%CI:2.68,7.80)。人口中黑人的百分比与淋病发病率几乎没有关联。当对淋病潜在报告不足进行敏感性分析时,这些估计相对稳健。
先前的研究表明,人口中高比例的黑人是淋病高发病率的最强预测因素。然而,我们发现,当在模型中纳入衡量社会结构方面的变量,如基于种族的收入分配和事实上的居住隔离时,黑人比例对淋病发病率不再有影响。降低地方高发病率的进展将需要关注社区的种族和阶级动态。