Northern California Cancer Center, Surveillance Research, 2201 Walnut Ave, Fremont, CA 94538, United States.
Soc Sci Med. 2010 May;70(9):1373-80. doi: 10.1016/j.socscimed.2010.01.003. Epub 2010 Feb 12.
Life expectancy, or the estimated average age of death, is among the most basic measures of a population's health. However, monitoring differences in life expectancy among sociodemographically defined populations has been challenging, at least in the United States (US), because death certification does not include collection of markers of socioeconomic status (SES). In order to understand how SES and race/ethnicity independently and jointly affected overall health in a contemporary US population, we assigned a small-area-based measure of SES to all 689,036 deaths occurring in California during a three-year period (1999-2001) overlapping the most recent US census. Residence at death was geocoded to the smallest census area available (block group) and assigned to a quintile of a multifactorial SES index. We constructed life tables using mortality rates calculated by age, sex, race/ethnicity and neighborhood SES quintile, and produced corresponding life expectancy estimates. We found a 19.6 (+/-0.6) year gap in life expectancy between the sociodemographic groups with the longest life expectancy (highest SES quintile of Asian females; 84.9 years) and the shortest (lowest SES quintile of African-American males; 65.3 years). A positive SES gradient in life expectancy was observed among whites and African-Americans but not Hispanics or Asians. Age-specific mortality disparities varied among groups. Race/ethnicity and neighborhood SES had substantial and independent influences on life expectancy, underscoring the importance of monitoring health outcomes simultaneously by these factors. African-American males living in the poorest 20% of California neighborhoods had life expectancy comparable to that reported for males living in developing countries. Neighborhood SES represents a readily-available metric for ongoing surveillance of health disparities in the US.
预期寿命,或估计的平均死亡年龄,是衡量人口健康状况的最基本指标之一。然而,监测社会人口统计学定义的人群之间的预期寿命差异一直具有挑战性,至少在美国是这样,因为死亡证明不包括社会经济地位(SES)的标志物收集。为了了解 SES 和种族/民族如何独立和共同影响当代美国人口的整体健康,我们将一个基于小区域的 SES 衡量标准分配给加利福尼亚州在三年期间(1999-2001 年)发生的所有 689,036 例死亡,这段时间与最近的美国人口普查重叠。死亡时的住所被地理编码到可用的最小普查区(块组),并分配到 SES 五分位数指数的五分位数。我们使用按年龄、性别、种族/民族和社区 SES 五分位数计算的死亡率构建生命表,并生成相应的预期寿命估计值。我们发现,在预期寿命最长的社会人口统计学群体(最高 SES 五分位数的亚洲女性;84.9 岁)和最短的群体(最低 SES 五分位数的非裔美国男性;65.3 岁)之间,预期寿命存在 19.6(+/-0.6)年的差距。白人和非裔美国人的 SES 与预期寿命呈正相关,但西班牙裔或亚洲人则不然。各年龄段的死亡率差异在各群体之间存在差异。种族/民族和社区 SES 对预期寿命有实质性和独立的影响,这突显了同时监测这些因素对健康结果的重要性。生活在加利福尼亚州最贫困的 20%社区的非裔美国男性的预期寿命与发展中国家男性的报告预期寿命相当。社区 SES 是美国正在进行的健康差异监测的一种现成指标。