Table 4. Logistic regression modeling of factors independently associated with leukoaraiosis.
Univariate logistic regression | Multivariate logistic regression | |||||
---|---|---|---|---|---|---|
ORa | 95%CI | P-value | ORa | 95%CI | P-value | |
Age | 1.124 | 1.075–1.175 | <0.0001 | 1.167 | 1.040–1.309 | 0.0088* |
Telomere length shortening | 1.136 | 1.053–1.225 | 0.0009 | 1.23 | 1.03–1.45 | 0.023** |
Hypertension | 3.259 | 1.369–7.761 | 0.0076 | 1.285 | 0.189–8.719 | 0.7976 |
carotid artery plaquec | 9.333 | 1.122–77.633 | 0.0388 | 9.175 | 0.63–133.5 | 0.1047 |
a Odds ratios were calculated using univariate and multivariable logistic regression models.
b older age, LTL shortening, hypertension, and carotid artery plaque were adjusted for in multiple logistic regression analysis.
c Carotid artery plaque defined as carotid intima-media thickness (IMT) >1 mm, analyzed as a categorical variable.
*indicates p values <0.01,
**indicates p values<0.05