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. 2010 May;70(9):1373-80.
doi: 10.1016/j.socscimed.2010.01.003. Epub 2010 Feb 12.

Racial and social class gradients in life expectancy in contemporary California

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Racial and social class gradients in life expectancy in contemporary California

Christina A Clarke et al. Soc Sci Med. 2010 May.

Abstract

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.

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Figures

FIGURE 1
FIGURE 1
Age-specific mortality rates by sex, race/ethnicity, and neighborhood socioeconomic status (SES) relative to statewide average rates in California, 1999-2001. Legend: SES quintiles are colored from lightest (lowest SES quintile) to darkest (highest SES quintile).
FIGURE 2
FIGURE 2
Contributions of age-specific differences in mortality to total differences in life expectancy for population subgroups defined by sex, race/ethnicity, and neighborhood socioeconomic status (SES) in California, 1999-2001. Legend: SES quintiles are colored from lightest (lowest SES quintile) to darkest (highest SES quintile).

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