Table 4.
Binomial logistic regression analysis between BPH marker drugs and climate variables
| Categorical climate variables | BPH marker drugs | McFadden R2 | Likelihood ratio | B with 95% CI | Wald tatistics | Constant term with 95% CI | Odds ratio with 95% CI |
|---|---|---|---|---|---|---|---|
| Temperature (0 or 1) | Uroselective α1 receptor blockers | 0.1549 | 10.0925 | −0.0005 | 6.9404 | 7.1405 | 0.9995 |
| p = 0.0015∗∗ | (−0.0008 ∼−0.0001) | p = 0.0084∗∗ | (1.8307 ∼ 12.4503) | (0.9992 ∼ 0.9999) | |||
| Precipitation (0 or 1) | 0.0006 | 0.0379 | 0.00002 | 0.0379 | −0.3021 | 1.0000 | |
| p = 0.8457 | (−0.0002 ∼0.0002) | p = 0.8457 | (−3.8239 ∼ 3.2196) | (0.9998 ∼ 1.0002) | |||
| Relative humidity (0 or 1) | 0.0585 | 3.8007 | 0.0002 | 3.8007 | −3.6524 | 1.0002 | |
| p = 0.0512 | (−0.00002 ∼0.0005) | p = 0.0512 | (−7.8103 ∼ 0.5055) | (1.0000 ∼ 1.0005) | |||
| Temperature (0 or 1) | Dutasteride | 0.0541 | 3.5233 | −0.0010 | 3.0943 | 2.4367 | 0.9990 |
| p = 0.0605 | (−0.0022 ∼0.0001) | p = 0.0786 | (−0.2746 ∼ 5.1481) | (0.9978 ∼ 1.0001) | |||
| Precipitation (0 or 1) | 0.0081 | 0.5259 | −0.0004 | 0.5159 | 0.9191 | 0.9996 | |
| p = 0.4684 | (−0.0014 ∼0.0007) | p = 0.4726 | (−1.5383 ∼ 3.3764) | (0.9986 ∼ 1.0007) | |||
| Relative humidity (0 or 1) | 0.0866 | 5.6262 | 0.0014 | 4.5293 | −3.0598 | 1.0014 | |
| p = 0.0177∗ | (0.0001 ∼ 0.0027) | p = 0.0333∗ | (−6.0078 ∼ −0.1119) | (1.0001 ∼ 1.0027) |
CI, confidence interval; B, regression coefficient; The median in the sorted climate values of 47 prefectures was used as cut-off value to categorize climate data into low (0) and high (1) categories (16.8°C for temperature, 1,760 mm for precipitation, and 71% for relative humidity).