Krieger Nancy, Chen Jarvis T, Waterman Pamela D, Rehkopf David H, Subramanian S V
Department of Society, Human Development, and Health, Harvard School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA.
Am J Public Health. 2005 Feb;95(2):312-23. doi: 10.2105/AJPH.2003.032482.
We describe a method to facilitate routine monitoring of socioeconomic health disparities in the United States.
We analyzed geocoded public health surveillance data including events from birth to death (c. 1990) linked to 1990 census tract (CT) poverty data for Massachusetts and Rhode Island.
For virtually all outcomes, risk increased with CT poverty, and when we adjusted for CT poverty racial/ethnic disparities were substantially reduced. For half the outcomes, more than 50% of cases would not have occurred if population rates equaled those of persons in the least impoverished CTs. In the early 1990s, persons in the least impoverished CT were the only group meeting Healthy People 2000 objectives a decade ahead.
Geocoding and use of the CT poverty measure permit routine monitoring of US socioeconomic inequalities in health, using a common and accessible metric.
我们描述了一种便于对美国社会经济健康差异进行常规监测的方法。
我们分析了地理编码的公共卫生监测数据,包括从出生到死亡的事件(约1990年),这些数据与马萨诸塞州和罗德岛州1990年人口普查区(CT)的贫困数据相关联。
几乎对于所有结果而言,风险随着CT贫困程度的增加而上升,并且当我们对CT贫困进行调整后,种族/族裔差异大幅减少。对于一半的结果来说,如果人口比率等同于最不贫困CT地区人群的比率,那么超过50%的病例就不会发生。在20世纪90年代初,最不贫困CT地区的人群是唯一提前十年实现《2000年健康人群》目标的群体。
地理编码和CT贫困指标的使用允许通过一个通用且可获取的指标对美国健康方面的社会经济不平等进行常规监测。