Table 3.
Characteristic | Unadjusted ORa (95% CI) | pb | Adjustedc OR (95% CI) | pb | Adjustedd OR (95% CI) | pb |
---|---|---|---|---|---|---|
% NH-Black | ||||||
1st quartile (0.7–14.7) | 1.00 (Referent) | 0.014 | 1.00 (Referent) | 0.13 | 1.00 (Referent) | 0.05 |
2nd quartile (14.8–28.0) | 6.71 (0.77–58.55) | 0.990 | 7.67 (0.77–70.99) | 0.579 | 9.03 (0.74–110.90) | 0.896 |
3rd quartile (28.1–38.7) | 14.41 (1.76–118.10) | 0.0494 | 10.99 (1.26–96.10) | 0.107 | 17.72 (1.55–202.90) | 0.118 |
4th quartile (38.7–78.0) | 20.46 (2.53–165.29) | 0.003 | 13.15 (1.40–123.80) | 0.05 | 31.46 (2.43–408.00) | 0.013 |
% Hispanic | ||||||
1st quartile (1.4–3.1) | 1.00 (Referent) | 0.056 | 1.00 (Referent) | 0.279 | 1.00 (Referent) | 0.429 |
2nd quartile (3.2–5.1) | 0.85 (0.32–2.26) | 0.166 | 1.09 (0.83–3.10) | 0.166 | 1.53 (0.46–5.04) | 0.126 |
3rd quartile (5.2–8.5) | 0.32 (0.10–1.02) | 0.247 | 0.48 (0.14–1.64) | 0.434 | 0.60 (0.15–2.40) | 0.481 |
4th quartile (8.6–36.4) | 0.25 (0.07–0.86) | 0.097 | 0.39 (0.10–1.39 | 0.208 | 0.52 (0.11–2.43) | 0.371 |
% Income <$20,000 | ||||||
1st quartile (8.7–19.4) | 1.00 (Referent) | 0.001 | 1.00 (Referent) | 0.05 | 1.00 (Referent) | 0.05 |
2nd quartile (19.5–27.0) | 3.92 (0.76–20.23) | 0.844 | 4.82 (0.84–27.55) | 0.308 | 2.58 (0.35–18.96) | 0.292 |
3rd quartile (27.1–32.1) | 3.27 (0.62–17.28) | 0.787 | 2.56 (0.46–14.30) | 0.633 | 0.77 (0.10–5.99) | 0.161 |
4th quartile (32.2–47.8) | 13.67 (2.89–64.74) | <0.0001 | 7.67 (1.52–38.67) | 0.014 | 2.87 (0.38–21.57) | 0.185 |
Presented as ORs and 95% CIs, estimated using binary logistic regression.
OR estimate the odds of being in the highest quartile for COVID-19 mortality rate.
Significance determined using Wald Chi-square from logistic regression.
Adjusted for the reciprocal (income or race) variable.
Adjusted form the reciprocal (income or NH-Black proportion) variable and, age, obesity, and rurality.
ORs, Odds ratios.