Table 2.
Correlations with CIMT value | ||||
---|---|---|---|---|
r | p value | ß | p value | |
Age (years) | 0.555 | <0.001 | 0.012 | <0.001 |
Current smoking | −0.003 | 0.933 | 0.025 | 0.004 |
Heavy drinking | 0.087 | 0.007 | – | – |
Low physical activity | 0.015 | 0.648 | – | – |
Diabetes mellitus | 0.210 | <0.001 | 0.097 | <0.001 |
Hypertension | 0.153 | <0.001 | – | – |
Dyslipidemia | 0.044 | 0.168 | – | – |
SBP (mmHg) | 0.077 | 0.050 | – | – |
DBP (mmHg) | −0.006 | 0.887 | – | – |
Body mass index (kg/m2) | 0.088 | 0.006 | 0.011 | <0.001 |
Total cholesterol (mg/dL)a | 0.044 | 0.173 | – | – |
LDL-C (mg/dL) | 0.083 | 0.010 | 0.001 | <0.001 |
HOMA-IR indexa | 0.138 | <0.001 | – | – |
eGFR (mL/min/1.73 m2) | −0.190 | <0.001 | – | – |
Metabolic syndrome | 0.180 | <0.001 | – | – |
Correlation coefficient (r) and regression coefficient (ß) were obtained by simple- and multiple linear regression analysis. Results in italics indicate statistical significance at the 0.05 level
CIMT carotid intima-media thickness, DBP diastolic blood pressure, eGFR estimated glomerular filtration rate, HOMA-IR homeostasis model assessment insulin resistance, LDL-C low-density lipoprotein cholesterol, SBP systolic blood pressure
aVariables with skewed distributions performed log-transformation