Table 2.
Crude and adjusted hazard ratios of osteoporosis for renal stones by subgroup according age, sex, income, and region.
Independent Variables | IR per 1000 Person-Year |
IRD per 1000 Person-Years (95% CI) |
Hazard Ratios for Renal Stone (95% Confidence Interval) |
|||
---|---|---|---|---|---|---|
Crude † | p Value | Adjusted †,‡ | p Value | |||
Total participants (n = 135,622) | ||||||
Osteoporosis | 3.2 | 0.70 (0.52 to 0.88) | 1.30 (1.22 to 1.39) | <0.001 * | 1.36 (1.28 to 1.45) | <0.001 * |
Control | 2.5 | 1 | 1 | |||
Age < 60 (n =66,794) | ||||||
Osteoporosis | 3.7 | 0.93 (0.68 to 1.19) | 1.34 (1.24 to 1.46) | <0.001 * | 1.41 (1.29 to 1.53) | <0.001 * |
Control | 2.7 | 1 | 1 | |||
Age ≥ 60 (n = 68,828) | ||||||
Osteoporosis | 2.3 | −0.46 (−0.70 to −0.21) | 1.24 (1.12 to 1.37) | <0.001 * | 1.30 (1.17 to 1.44) | <0.001 * |
Control | 2.7 | 1 | 1 | |||
Men (n = 24,612) | ||||||
Osteoporosis | 4.0 | 0.54 (−0.04 to 1.12) | 1.17 (1.00 to 1.37) | 0.044 * | 1.37 (1.15 to 1.64) | 0.001 * |
Control | 3.4 | 1 | 1 | |||
Women (n = 111,010) | ||||||
Osteoporosis | 3.1 | 0.72 (0.53 to 0.91) | 1.33 (1.24 to 1.42) | <0.001 * | 1.36 (1.27 to 1.46) | <0.001 * |
Control | 2.4 | 1 | 1 | |||
Low income (n = 68,368) | ||||||
Osteoporosis | 3.1 | 0.77 (0.52 to 1.01) | 1.35 (1.24 to 1.48) | <0.001 * | 1.38 (1.26 to 1.51) | <0.001 * |
Control | 2.4 | 1 | 1 | |||
High income (n = 67,254) | ||||||
Osteoporosis | 3.3 | 0.63 (0.37 to 0.89) | 1.25 (1.15 to 1.37) | <0.001 * | 1.29 (1.18 to 1.41) | <0.001 * |
Control | 2.7 | 1 | 1 | |||
Urban residents (n = 57,152) | ||||||
Osteoporosis | 3.2 | 0.67 (0.40 to 0.94) | 1.33 (1.24 to 1.42) | <0.001 * | 1.31 (1.19 to 1.44) | <0.001 * |
Control | 2.5 | 1 | 1 | |||
Rural residents (n = 78,470) | ||||||
Osteoporosis | 0.1 | −0.18 (−0.23 to −0.12) | 1.28 (1.16 to 1.41) | <0.001 * | 1.35 (1.24 to 1.47) | <0.001 * |
Control | 0.2 | 1 | 1 |
Abbreviations; IR, incidence rate; IRD, incidence rate difference; * Stratified Cox proportional hazard regression model, Significance at p < 0.05; † Models were stratified by age, sex, income, and region of residence. ‡ The model was adjusted for obesity, smoking, alcohol consumption, systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, and CCI scores.