Multiple linear regression models for associations with cIMT (as dependent variable) adjusting for age, BMI, gender, and AHI (as independent variable) in patients; regression coefficients (β), SE of b (SE β) and t statistic with corresponding p value
| Variable | β coefficient | SE β | t statistic | p Value |
|---|---|---|---|---|
| Age | −0.001 | 0.003 | −0.361 | 0.71 |
| Gender | 0.058 | 0.006 | 1.095 | 0.27 |
| BMI | −0.006 | 0.053 | −0.920 | 0.36 |
| AHI | 0.420 | 0.001 | 4168 | 0.001* |
*Statistically significant results are shown in bold.
AHI, apnea-hypopnea index; BMI, body mass index; cIMT, carotid intima-media thickness.