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Table 4 Differences in blood pressure for measures of blood pressure variability across quartiles of forced-expiratory-volume-in-1-second-to-forced-vital-capacity ratio

From: The association of reduced lung function with blood pressure variability in African Americans: data from the Jackson Heart Study

 

Forced expiratory volume in 1 s to forced vital capacity ratio

 
 

Quartile 1 (lowest)

Quartile 2

Quartile 3

Quartile 4 (highest)

p-trend

 

Day-night standard deviation

Systolic blood pressure

(n = 251)

(n = 253)

(n = 253)

(n = 251)

 

Mean ± standard deviation

9.3 ± 2.6

9.2 ± 2.2

9.4 ± 2.5

9.3 ± 2.5

0.680

Model 1, β (95 % CI)

0 (ref)

−0.1 (−0.5 to 0.3)

0.2 (−0.2 to 0.6)

−0.1 (−0.5 to 0.4)

0.890

Model 2, β (95 % CI)

0 (ref)

−0.0 (−0.5 to 0.4)

0.1 (−0.4 to 0.5)

−0.1 (−0.5 to 0.4)

0.314

Diastolic blood pressure

     

Mean ± standard deviation

8.1 ± 2.2

8.1 ± 2.0

8.2 ± 2.3

8.0 ± 2.1

0.685

Model 1, β (95 % CI)

0 (ref)

0.0 (−0.4 to 0.4)

0.1 (−0.3 to 0.4)

−0.1 (−0.5 to 0.3)

0.688

Model 2, β (95 % CI)

0 (ref)

−0.0 (−0.4 to 0.3)

−0.2 (−0.6 to 0.2)

−0.2 (−0.6 to 0.2)

0.180

 

Average real variability

Systolic blood pressure

     

Mean ± standard deviation

8.7 ± 2.2

8.6 ± 2.0

8.8 ± 2.0

8.8 ± 2.1

0.570

Model 1, β (95 % CI)

0 (ref)

−0.1 (−0.5 to 0.2)

0.1 (−0.2 to 0.5)

−0.0 (−0.4 to 0.3)

0.765

Model 2, β (95 % CI)

0 (ref)

−0.1 (−0.5 to 0.2)

0.1 (−0.3 to 0.4)

0.0 (−0.3 to 0.4)

0.702

Diastolic blood pressure

     

Mean ± standard deviation

7.6 ± 2.1

7.7 ± 2.0

7.7 ± 2.2

7.6 ± 2.1

0.888

Model 1, β (95 % CI)

0 (ref)

0.0 (−0.3 to 0.4)

0.1 (−0.2 to 0.5)

0.0 (−0.4 to 0.4)

0.878

Model 2, β (95 % CI)

0 (ref)

−0.1 (−0.4 to 0.3)

−0.1 (−0.5 to 0.3)

−0.2 (−0.6 to 0.2)

0.297

  1. Forced expiratory volume in 1 s: Forced vital capacity ratio quartile cut points (lowest to highest quartile):
  2. Men: < 0.96, 0.96 to 1.02, 1.02 to 1.07, and ≥ 1.07
  3. Women: < 0.97, 0.97 to 1.03, 1.03 to 1.07, and ≥ 1.07
  4. CI: confidence interval
  5. Model 1: adjustment for demographics (age and sex)
  6. Model 2: Adjustment for Model 1 variables plus behaviors (cigarette smoking, physical activity, and body mass index), co-morbid conditions (diabetes, total and HDL-cholesterol and statin use, history of stroke and history of myocardial infarction), kidney function (estimated glomerular filtration rate and albuminuria), markers of inflammation (C-reactive protein), mean daytime SBP or DBP and antihypertensive medication classes being taken