From: The association between glaucoma and risk of depression: a nationwide population-based cohort study
Predictive variables | Univariate analysis | Multivariable analysis | ||
---|---|---|---|---|
Unadjusted HR | p-value | Adjusted HR | p-value | |
(95% CI) | (95% CI) | |||
Age | ||||
 30–50 | Reference |  | Reference |  |
 50–60 | 1.56(1.23–1.99) | < 0.001 | 1.39(1.09–1.77) | < 0.001 |
 60–70 | 1.31(1.03–1.68) | < 0.05 | 1.27(1.03–1.58) | < 0.05 |
  ≥ 70 | 1.56(1.22–1.99) | < 0.001 | 1.35(1.06–1.78) | < 0.05 |
Gender (Male vs. Female) | 0.64(0.54–0.76) | < 0.0001 | 0.71(0.60–0.84) | < 0.0001 |
Charlson comorbidity index | ||||
  < 3 | Reference |  | Reference |  |
  ≥ 3 | 1.18(0.94–1.49) | 0.15 | 1.16(0.92–1.47) | 0.23 |
Insurance cost | ||||
  < 40,000 NTD | Reference |  | Reference |  |
  ≥ 40,000 NTD | 0.44(0.32–0.61) | < 0.0001 | 0.53(0.38–0.75) | < 0.001 |
Urbanization level | ||||
 Urban | Reference |  | Reference |  |
 Rural | 1.07(0.88–1.30) | 0.49 | 0.97(0.80–1.18) | 0.77 |
Living alone | ||||
 No | Reference |  | Reference |  |
 Yes | 1.36(1.06–1.73) | < 0.05 | 1.34(1.03–1.73) | < 0.05 |
Substance abuse | ||||
 No | Reference |  | Reference |  |
 Yes | 1.62(1.08–2.87) | < 0.05 | 1.51(1.02–2.57) | < 0.05 |
Number of glaucoma medications | ||||
  < 3 | Reference |  | Reference |  |
  ≥ 3 | 0.88(0.70–1.11) | 0.28 | 0.83(0.60–1.16) | 0.28 |
Types of glaucoma medications | ||||
 Sympathomimetics (Yes vs. No) | 0.91(0.76–1.08) | 0.28 | 0.68(0.36–1.28) | 0.23 |
 Pilocarpine (Yes vs. No) | 1.52(0.92–2.30) | 0.11 | 1.57(0.93–2.10) | 0.10 |
 Carbonic anhydrase inhibitors (Yes vs. No) | 0.82(0.67–1.01) | 0.07 | 0.89(0.69–1.14) | 0.35 |
 β-blocker (Yes vs. No) | 1.00(0.85–1.19) | 0.97 | 1.07(0.88–1.29) | 0.51 |
 Prostaglandin analogs (Yes vs. No) | 0.94(0.79–1.14) | 0.54 | 1.40(0.74–2.68) | 0.31 |