Table 3.
Determinant variables | Telomere length (TL) | |||
---|---|---|---|---|
β | P (variable) | Adjusted R2 | P (model) | |
Block 1 | 0.22 | <0.001 | ||
Gender | 0.042 | 0.812 | ||
Ageb | 0.465 | 0.005 | ||
BMIb | −0.224 | 0.206 | ||
Block 2a | 0.429 | <0.001 | ||
Gender | −0.231 | 0.2 | ||
Ageb | 0.297 | 0.051 | ||
BMIb | −0.429 | 0.015 | ||
Number of antihypertensive drugs | 0.404 | 0.014 | ||
Daily total HC dose | 0.377 | 0.018 |
Multiple imputation was used to fill in missing values based on the confirmation that the missing pattern was completely at random. Five complete datasets were created, to compensate for the uncertainty caused by missing values. Subsequently, linear regression modeling was performed on each dataset, and the regression coefficients of the five models were pooled.
aBlock 1 + diabetes mellitus type 2, HbA1c, arterial hypertension, number of antihypertensive drugs, systolic blood pressure, waist circumference, total leucocyte count, current statin use + daily total HC dose; blogarithmized.
β, standardized beta coefficient.