PT  - JOURNAL ARTICLE
AU  - Brittney S Lange-Maia
AU  - Fernando De Maio
AU  - Elizabeth F Avery
AU  - Elizabeth B Lynch
AU  - Emily M Laflamme
AU  - David A Ansell
AU  - Raj C Shah
TI  - Association of community-level inequities and premature mortality: Chicago, 2011–2015
AID  - 10.1136/jech-2018-210916
DP  - 2018 Dec 01
TA  - Journal of Epidemiology and Community Health
PG  - 1099--1103 
VI  - 72
IP  - 12
4099  - http://jech.bmj.com/content/72/12/1099.short
4100  - http://jech.bmj.com/content/72/12/1099.full
SO  - J Epidemiol Community Health2018 Dec 01; 72
AB  - Background Substantial disparities in life expectancy exist between Chicago’s 77 defined community areas, ranging from approximately 69 to 85 years. Prior work in New York City and Boston has shown that community-level racial and economic segregation as measured by the Index of Concentration at the Extremes (ICE) is strongly related to premature mortality. This novel metric allows for the joint assessment of area-based income and racial polarisation. This study aimed to assess the relationships between racial and economic segregation and economic hardship with premature mortality in Chicago.Methods Annual age-adjusted premature mortality rates (deaths <65 years) from 2011 to 2015 were calculated for Chicago’s 77 community areas. ICE measures for household income (<US$25 000 vs ≥US$100 000), race (black vs non-Hispanic white), combined ICE measure incorporating income and race, and hardship index were calculated from 2015 American Community Survey 5-year estimates.Results Average annual premature mortality rates ranged from 94 (95% CI 61 to 133) deaths per 100 000 population age <65 to 699 (95% CI 394 to 1089). Compared with the highest ICE quintiles, communities in the lowest quintiles had significantly higher rates of premature mortality (ICEIncomerate ratio (RR)=3.06, 95% CI 2.51 to 3.73; ICERaceRR=3.07, 95% CI 2.62 to 3.58; ICEIncome+RaceRR=3.27, 95% CI 2.84 to 3.77). Similarly, compared with communities in the lowest hardship index quintile, communities in the highest quintile had significantly higher premature mortality rates (RR=2.79, 95% CI 2.18 to 3.57).Conclusions The strong relationships observed between ICE measures and premature mortality—particularly the combined ICE metric encompassing race and income—support the use of ICE in public health monitoring.