Table 5.
Individual Cox Proportional Hazard Models Containing Chronological Age (CA) and One of Five Biological Age (BA) Estimates
| CA | BA | |||
|---|---|---|---|---|
| HR (95% CI) | SE | HR (95% CI) | SE | |
| Model 1 (BA = PCA) | ||||
| Log likelihood = −15,025.53 | 1.06 (1.06–1.07)*** | 0.003 | 1.03 (1.03–1.04)*** | 0.001 |
| Nagelkerke R 2 = 0.258 | ||||
| Model 2 (BA = MLR1) | ||||
| Log likelihood = −15,038.34 | 1.03 (1.02–1.04)*** | 0.004 | 1.07 (1.06–1.07)*** | 0.003 |
| Nagelkerke R 2 = 0.256 | ||||
| Model 3 (BA = MLR2) | ||||
| Log likelihood = −15,014.63 | 1.02 (1.01–1.03)*** | 0.004 | 1.08 (1.07–1.08)*** | 0.003 |
| Nagelkerke R 2= 0.260 | ||||
| Model 4 (BA = KDM1) | ||||
| Log likelihood = −14,974.76 | 1.01 (1.01–1.02)*** | 0.004 | 1.08 (1.07–1.09)*** | 0.003 |
| Nagelkerke R 2 = 0.267 | ||||
| Model 5 (BA = KDM2) | ||||
| Log likelihood = −14,975.42 | 1.01 (0.99–1.02) | 0.004 | 1.09 (1.08–1.09)*** | 0.004 |
| Nagelkerke R 2 = 0.267 | ||||
| N = 9,439 and Number of events = 1,843 | ||||
Notes: PCA= principal component analysis; MLR1 = multiple linear regression with 10 variables; MLR2 = multiple linear regression with 7 variables; KDM1 = Klemera and Doubal method with 10 variables; and KDM2 = Klemera and Doubal method with 7 variables.
In each model, BA is calculated by either PCA, MLR1 with 10 variables, MLR2 with 7 variables, KDM1 with 10 variables, or KDM2 with 7 variables.
All models are controlled for sex.
***p < .0001. **p < .01. *p < .05.