TABLE 3—
Model 1, RR (95% CI) | Model 2,a RR (95% CI) | Model 3,b RR (95% CI) | Model 4,c RR (95% CI) | |
PC1 | 1.44 (1.19, 1.74) | 1.31 (1.09, 1.59) | 1.21 (0.99, 1.48) | 1.27 (1.04, 1.57) |
PC2 | 0.95 (0.75, 1.21) | 0.80 (0.61, 1.04) | 0.77 (0.59, 1.00) | 0.90 (0.66, 1.23) |
PC3 | 1.02 (0.93, 1.25) | 1.16 (0.95, 1.43) | 1.15 (0.94, 1.41) | 1.20 (0.96, 1.48) |
% in county who were White | . . . | 1.14 (1.08, 1.20) | 1.13 (1.07, 1.19) | 1.11 (1.05, 1.18) |
County median age | . . . | 0.99 (0.91, 1.08) | 0.98 (0.91, 1.07) | 0.98 (0.91, 1.07) |
% of the county in the manufacturing industry | . . . | . . . | 0.97 (0.94, 1.00) | 0.96 (0.93, 1.00) |
% of the county in the arts, entertainment, recreation, accommodation, and food services industries | . . . | . . . | . . . | 1.00 (0.90, 1.12) |
% of the county in the agricultural, forestry, fishing and hunting, and mining industries | . . . | . . . | . . . | 0.93 (0.85, 1.00) |
% of the county in the construction industry | . . . | . . . | . . . | 0.93 (0.84, 1.04) |
Note. All models present an estimate for a 1-standard-deviation increase in a PC score and are adjusted for population size and a square term for population size.
Model 2 included the PCs, population size, percentage of the population that was White, and county median age.
Model 3 included the PCs, population size, percentage of the population that was White, county median age, and percentage of the population in the manufacturing industry.
Model 4 included model 3 covariates and additionally included 3 other industries of interest.