TABLE 6.
Hierarchical regression models for HFHRV and CRP as predictors of LTL (N = 131).
| Model | β | p | R2adj | F(df) |
| WBC_log | 0.227 | 0.008 | 0.075 | F(3) = 4.51 |
| Age | -0.143 | 0.093 | ||
| Sex | -0.160 | 0.061 | ||
| Model 2a | ||||
| WBC_log | 0.236 | 0.004 | 0.177 | F(4) = 7.98 |
| Age | -0.201 | 0.014 | ||
| Sex | -0.170 | 0.035 | ||
| HFHRV_log | 0.331 | <0.001 | ||
| Model 2b | ||||
| WBC_log | 0.258 | 0.003 | 0.084 | F(4) = 3.97 |
| Age | -0.125 | 0.144 | ||
| Sex | -0.169 | 0.047 | ||
| CRP_log | -0.131 | 0.137 | ||
| Model 2c | ||||
| WBC_log | 0.270 | 0.001 | 0.190 | F(5) = 7.08 |
| Age | -0.182 | 0.027 | ||
| Sex | -0.180 | 0.025 | ||
| HFHRV_log | 0.335 | <0.001 | ||
| CRP_log | -0.142 | 0.086 | ||
HFHRV_log, high frequency component heart rate variability; CRP_log, c reactive protein; WBC_log, white blood cell count; _log, log10-transformed variable; LTL, leukocyte telomere length arbitrary units.