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. 2023 Jul 1:08982643231185689. doi: 10.1177/08982643231185689

Table 5.

Contextual Factors of Counties in Which Older Adults Lived by Race or Ethnicity, and Disabling Condition.

All Older Adults Non-Hispanic White
All older adults ADL or IADL No ADL or IADL T-test a All Non-Hispanic White ADL or IADL No ADL or IADL T-test a
Mean weighted county-level value for HRS respondents a
COVID-19 risk and vulnerability
 Case counts (per 100,000) 21.7 22.1 21.4 *** 21.5 21.9 21.2 ***
 Pandemic vulnerability index 0.5 0.5 0.5 *** 0.5 0.5 0.5 ***
Socioeconomic characteristics
 Social vulnerability index .51 .54 .50 *** 0.5 0.5 0.5 ***
 Residential racial segregation 33.9 33.7 34.0 34.1 33.9 34.1
Medical infrastructure and health care access
 Hospital beds capacity 0.4 0.4 0.4 0.4 0.4 0.4
 Years of potential life lost 7760.5 8105.5 7502.2 *** 7644.5 7946.3 7438.3 ***
Employment opportunities and income
 Unemployment 5.4 5.4 5.3 ** 5.2 5.3 5.2 **
 Percentage receiving government assistance 12.3 12.7 12.0 *** 11.9 12.3 11.6 ***
Number of observations 8616 3408 5208 4678 1664 3014

aMeans of county-level variables are weighted to adjust for different proportions of HRS respondents across counties. A simple inverse-probability weight was created to account for county clustering across the entire sample and again for each racial/ethnic subgroup.

ADL = activity of daily living; HRS = Health and retirement Study; IADL = instrumental activity of daily living