Table 2

Predictors of longitudinal brachial-ankle pulse wave velocity during 5-year follow-up

ComparisonRegression coefficient (95% CI)P value
Intercept838 (423 to 1254)<0.001
Time1 year23.0 (19.9 to 26.1)<0.001
Age1 year15.5 (13.2 to 17.8)<0.001
GenderMale vs female39.3 (−5.7 to 84.2)0.09
Morningness-Eveningness Questionnaire scoreNeither type vs evening type30.1 (−16.5 to 76.8)0.21
Morning type vs evening type23.5 (−40.1 to 87.1)0.47
Pittsburgh Sleep Quality Index scoreAverage vs good32.9 (−12.1 to 78.0)0.15
Poor vs good68.0 (−1.33 to 137.4)0.05
Sleep durationIntermediate vs short−11.6 (−66.0 to 42.8)0.68
Long vs short14.1 (−88.3 to 117.1)0.78
Beck Depression Inventory-II score1 point−0.65 (−3.20 to 1.90)0.62
Caloric intake1 kcal/day−0.02 (−0.06 to 0.01)0.18
Physical activity1 METs·h/week−0.08 (−0.32 to 0.16)0.52
Alcohol consumption1 g/day0.49 (−0.45 to 1.44)0.31
Current smokerFormer smoker vs current smoker−27.4 (−78.1 to 22.5)0.28
Former smoker vs
never-smoker
−21.8 (−71.5 to 27.9)0.39
Frequency of breakfast intakeOne time a week−25.3 (−40.6 to −10.0)0.001
Time of dinner1 hour−0.85 (−18.5 to 16.8)0.92
Excessive daytime sleepinessYes vs no−21.1 (−61.4 to 19.3)0.31
Shift workerYes vs no52.9 (−7.49 to 113.2)0.09
  • Longitudinal brachial-ankle pulse wave velocity was analyzed with a linear mixed-effects model using time and lifestyle habits at baseline as fixed effects, and patient as a random effect.