Table 3.
Threshold effect analysis of testosterone on the prevalence of kidney stones using piece-wise linear regression.
Crude ORb (95% CI) | p-value | Adjusted ORc (95% CI) | p-value | ||
---|---|---|---|---|---|
All, Testosteronea | |||||
Model I one-line | 0.904 (0.873, 0.937) | <0.001 | 0.972 (0.935, 1.011) | 0.159 | |
Model II turning point: Q5 (386–443) | Model II turning point: Q5 (386–443) | ||||
<Q5 | 0.942 (0.884, 1.002) | 0.059 | <Q5 | 1.033 (0.966, 1.105) | 0.336 |
≥Q5 | 0.843 (0.764, 0.930) | <0.001 | ≥Q5 | 0.875 (0.731, 0.981) | 0.010 |
Age (20–40) Testosteronea | |||||
Model I one-line | 0.953 (0.880, 1.031) | 0.2271 | 0.995 (0.906, 1.092) | 0.9118 | |
Model II turning point: Q3 (313–363) | Model II turning point: Q3 (313–363) | ||||
<Q3 | 0.807 (0.603, 1.080) | 0.1499 | <Q3 | 0.809 (0.598, 1.096) | 0.1721 |
≥Q3 | 1.006 (0.891, 1.136) | 0.9257 | ≥Q3 | 1.063 (0.932, 1.213) | 0.3645 |
Age 41–60 Testosteronea | |||||
Model I one-line | 0.892 (0.839, 0.948) | <0.001 | 0.921 (0.860, 0.987) | 0.0193 | |
Model II turning point: Q5 (370–427) | Model II turning point: Q6 (427–492) | ||||
<Q5 | 0.941 (0.844, 1.049) | 0.2736 | <Q6 | 0.995 (0.906, 1.092) | 0.9084 |
≥Q5 | 0.810 (0.680, 0.964) | 0.0179 | ≥Q6 | 0.657 (0.487, 0.886) | 0.006 |
Age 61–80 Testosteronea | |||||
Model I one-line | 0.930 (0.883, 0.979) | 0.005 | 0.979 (0.924, 1.038) | 0.483 | |
Model II turning point: Q3 (268–318) | Model II turning point: Q5 (360–422) | ||||
<Q3 | 1.141 (0.938, 1.389) | 0.187 | <Q5 | 1.084 (0.979, 1.200) | 0.120 |
≥Q3 | 0.872 (0.805, 0.943) | <0.001 | ≥Q5 | 0.831 (0.717, 0.963) | 0.014 |
CI, confidence interval; HR, hazard ratio.
Presented in eight quantile (ng/dl) and was conducted the with eight quantiles of the total serum testosterone as a continuous variable.
Adjusted for: none.
Adjusted for: age, race, BMI, hypertension, diabetes, gout, coronary heart, disease, arthritis, angina, heart attack, stroke, smoking, serum total cholesterol, triglycerides, calcium, and uric acid.