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. 2018 Jun 15;17:79. doi: 10.1186/s12939-018-0792-2

Table 3.

Univariate and multivariable logistic regression models of late-stage diagnosis in patients with prostate cancer

Variables Univariate Models Model 1 Model 2 Model 3 Model 4
OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value
Group
 Insured 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
 Dependents 1.08 (0.97–1.19) 0.159 1.01 (0.91–1.12) 0.917 1.13 (1.01–1.27) 0.034 1.11 (0.99–1.24) 0.076 1.12 (1.00–1.26) 0.060
Age, yrs
 50–59 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
 60–69 1.24 (1.07–1.45) 0.006 1.24 (1.06–1.45) 0.007 1.15 (0.98–1.36) 0.079 1.10 (0.94–1.30) 0.246 1.11 (0.94–1.30) 0.226
 70–79 1.70 (1.47–1.98) < 0.001 1.70 (1.46–1.98) < 0.001 1.54 (1.31–1.80) < 0.001 1.43 (1.21–1.69) < 0.001 1.45 (1.23–1.71) < 0.001
Occupation
 Labor 1.00 (reference) 1.00 (reference) 1.00 (reference)
 Enterprise employee 0.78 (0.70–0.87) < 0.001 0.81 (0.72–0.91) < 0.001 0.99 (0.83–1.17) 0.902
 Government employee 0.62 (0.51–0.75) < 0.001 0.61 (0.50–0.74) < 0.001 0.80 (0.62–1.03) 0.079
Income, TWD
 17,881–21,900 1.00 (reference) 1.00 (reference) 1.00 (reference)
 21,901–40,100 0.82 (0.72–0.93) 0.002 0.85 (0.74–0.98) 0.027 0.87 (0.73–1.04) 0.132
  > 40,100 0.63 (0.56–0.71) < 0.001 0.67 (0.59–0.76) < 0.001 0.71 (0.58–0.85) < 0.001

Models 1–4 are all multivariable logistic regression models