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. Author manuscript; available in PMC: 2023 Jul 1.
Published in final edited form as: Environ Res. 2022 Oct 23;216(Pt 2):114636. doi: 10.1016/j.envres.2022.114636

Table 1.

Summary characteristics of study population, ambient exposures and neighborhood contextual factors

Characteristics Levels
Total admissions a, No. (%) 1,211,100 (−)
Arizona 77,355 (6.4)
Maryland (after 2009) 64,231 (5.3)
Michigan 176,521 (14.6)
New York 521,710 (43.1)
New Jersey (after 2008) 122,676 (10.1)
North Carolina 153,123 (12.6)
Rhode Islands 31,309 (2.6)
Washington 64,175 (5.3)
Zip codes covered (>100 residents) 6,529
Study period 2002–2016
Age, No. (%)
Children (age<=9 yrs.) 1,741 (0.1)
Adolescents (10–19 yrs.) 53,441 (4.4)
Young Adults (20–29 yrs.) 240,495 (19.9)
Adults (30–64 yrs.) 809,470 (66.8)
Elderly (>=65 yrs.) 105,919 (8.7)
Other unidentified 34 (0.0)
Sex, No. (%)
Male 698,781 (57.7)
Female 512,275 (42.3)
Other unidentified 44 (0.0)
Race/Ethnicity, No. (%)
Non-Hispanic black 391,924 (32.4)
Non-Hispanic white 505,256 (41.7)
Other combined racesb 179,247 (14.8)
Other unidentifiedc 134,673 (11.1)
Neighborhood contextual factors, median (IQR)
Poverty rate, % 7.5 (4.4, 12.2)
High school or less education, % 22.0 (13.5, 32.9)
Ambulatory visits per year per 100 population 80.0 (76.3, 83.0)
Population density, people per mile2 107.9 (24.2, 895.2)
Smoking rated, % 0.48 (0.44, 0.52)
ICEwbincomee 0.18 (0.09, 0.30)
Ambient annual exposures, median (IQR)
Fine particulate matter (PM2.5), μg/m3 9.0 (7.3, 10.8)
Nitrogen dioxide (NO2), ppb 15.8 (10.5, 25.1)
Temperature, °C 10.6 (9.0, 13.3)
Cumulative precipitation, m 1.2 (1.0, 1.3)
a

Total admissions included in this table are primary admissions we used for this study after restriction criteria (described in Methods, Data Source & Study Population);

b

Other combined races include Asians/Pacific Islanders, Hispanic/Latino, Native Americans and other races;

c

Other unidentified includes admissions without information on race/ethnicity (In particular, Washington state does not provide information on race/ethnicity);

d

ZIP code level smoking rate, data source: CDC The Behavioral Risk Factor Surveillance System (BRFSS).

e

Index of Concentration at the Extremes (high income white households versus low income black households*), data source: Krieger N, Chen JT, Waterman PD. Using the methods of the Public Health Disparities Geocoding Project to monitor COVID-19 inequities and guide action for social justice. Available as of May 15, 2020 at: https://www.hsph.harvard.edu/thegeocodingproject/covid-19-resources