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Table 2 Adjusted estimates of variables impact on COVID-19 mortalitya

From: The association between opioids, environmental, demographic, and socioeconomic indicators and COVID-19 mortality rates in the United States: an ecological study at the county level

Variables

Adjusted MRRb (95% CI)

P-value

Opioid Mortality Rate per 100,000 persons

1.0134 (1.0054, 1.0214)

0.001

Opioid Prescribing Rate per 100 persons

1.0005 (0.9979, 1.0031)

0.69

Ratio of ≥65 years old to < 25 years old

1.0564 (0.8082, 1.3809)

0.69

% Black

1.0323 (1.0255, 1.0390)

< 0.001

% Non-Hispanic White

0.9828 (0.9767, 0.9889)

< 0.001

% Rural

0.9951 (0.9917, 0.9986)

0.01

log (Median Household Income)

6.2034 (3.5170, 10.9419)

< 0.001

log (Median Home Value)

0.7907 (0.6062, 1.0332)

0.09

Population Density (persons/100 mile2)

1.0050 (1.0019, 1.0082)

0.002

% Unemployed

1.0591 (1.0008, 1.1208)

0.047

% Diabetic

1.0414 (0.9948, 1.0904)

0.08

Hypertension Hospitalizations Rate

1.0095 (0.9834, 1.0362)

0.48

% Smokers

1.0030 (0.9708, 1.0363)

0.85

% Excessive Drinking

1.0136 (0.9832, 1.0450)

0.38

% With access to place of physical activity

0.9986 (0.9942, 1.0030)

0.53

% Health practitioners

1.0249 (0.9808, 1.0709)

0.27

% Sales/office workers

1.0083 (0.9797, 1.0379)

0.57

% Transportation/trucking workers

1.0178 (0.9996, 1.0363)

0.055

% Education workers

0.9933 (0.9608, 1.0269)

0.69

Average maximum temperature (°F)

0.9784 (0.9682, 0.9889)

< 0.001

Average Daily PM2.5 (μg/m3)

1.0695 (1.0194, 1.220)

0.01

  1. a Negative binomial regression model, R2: 0.79, Chi-squared Goodness of Fit p-value: 0.70; b Mortality rate ratio