TABLE 3.
Multiple linear regression of BPV (Model 1) and BPV tertiles (Model 2) on REM sleep duration
| Variable | Model 1 | Model 2 | ||||||
|---|---|---|---|---|---|---|---|---|
| Estimate (95% CI) | p‐Value | Estimate (95% CI) | p‐Value | |||||
| Systolic Blood Pressure Variability | ||||||||
| Coefficient of Variation | ‐22.188 | (−0.045, | 0.737) | .058 | ||||
| Tertiles [1 (Lowest Variability)] | ||||||||
| 2 | ‐2.251 | (−0.005 | 0.135) | .064 | ||||
| 3 (Highest Variability) | ‐2.700 | (−0.005 | ‐0.239) | .032 | ||||
| Diastolic Blood Pressure Variability | ||||||||
| Coefficient of Variation | ‐13.560 | (−0.034, | 7.195) | .200 | ||||
| Tertiles [1 (Lowest Variability)] | ||||||||
| 2 | ‐0.468 | (−0.003 | 1.905) | .699 | ||||
| 3 (Highest Variability) | ‐1.761 | (−0.004 | 0.658) | .154 | ||||
Reference categories are in angle brackets. The models were adjusted for age, sex, race/ethnicity, BMI, diabetes, hyperlipidemia, total sleep time, mean systolic BP, AHI, antipsychotic or antidepressant medication use, and antihypertensive medication use.
Abbreviations: BPV, blood pressure variability; CI, confidence interval.