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Table 3 Differences in average real variability of blood pressure across quartiles of forced-expiratory-volume-in-1-second and forced-vital-capacity

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

  Quartile 1 (lowest) Quartile 2 Quartile 3 Quartile 4 (highest) p-trend
  Forced expiratory volume in 1 s
Systolic blood pressure (n = 251) (n = 253) (n = 253) (n = 251)  
Mean ± standard deviation 8.8 ± 2.0 8.6 ± 2.0 8.7 ± 2.1 8.7 ± 2.2 0.593
Model 1, β (95 % CI) 0 (ref) −0.1 (−0.4 to 0.3) 0.0 (−0.3 to 0.4) −0.2 (−0.6 to 0.1) 0.349
Model 2, β (95 % CI) 0 (ref) 0.0 (−0.3 to 0.4) 0.2 (−0.2 to 0.5) 0.0 (−0.3 to 0.4) 0.627
Diastolic blood pressure      
Mean ± standard deviation 7.7 ± 2.0 7.6 ± 2.0 7.7 ± 2.3 7.6 ± 2.1 0.635
Model 1, β (95 % CI) 0 (ref) −0.1 (−0.5 to 0.2) −0.0 (−0.4 to 0.3) −0.1 (−0.5 to 0.2) 0.646
Model 2, β (95 % CI) 0 (ref) −0.2 (−0.6 to 0.2) −0.0 (−0.4 to 0.4) −0.1 (−0.4 to 0.3) 0.993
  Forced vital capacity
Systolic blood pressure (n = 251) (n = 253) (n = 253) (n = 251)  
Mean ± standard deviation 8.9 ± 1.9 8.6 ± 2.2 8.6 ± 2.0 8.8 ± 2.1 0.617
Model 1, β (95 % CI) 0 (ref) −0.1 (−0.5 to 0.2) −0.3 (−0.6 to 0.1) −0.2 (−0.5 to 0.2) 0.263
Model 2, β (95 % CI) 0 (ref) −0.1 (−0.4 to 0.3) −0.1 (−0.5 to 0.2) 0.1 (−0.3 to 0.4) 0.856
Diastolic blood pressure      
Mean ± standard deviation 7.9 ± 2.0 7.6 ± 2.2 7.5 ± 2.1 7.7 ± 2.2 0.212
Model 1, β (95 % CI) 0 (ref) −0.3 (−0.6 to 0.1) −0.4 (−0.8 to −0.0) −0.2 (−0.6 to 0.2) 0.221
Model 2, β (95 % CI) 0 (ref) −0.3 (−0.7 to 0.0) −0.4 (−0.8 to −0.0) −0.1 (−0.4 to 0.3) 0.742
  1. Forced expiratory volume in 1 s quartile cut points (lowest to highest quartile):
  2. Men: < 80.7, 80.7 to 91.8, 91.8 to 101.1, and ≥ 101.1
  3. Women: < 83.8, 83.8 to 95.4, 95.4 to 106.8, and ≥ 106.8
  4. Forced vital capacity quartile cut points (lowest to highest quartile):
  5. Men: < 81.4, 81.4 to 90.4, 90.4 to 99.8, and ≥ 99.8
  6. Women: < 83.3, 83.3 to 94.2, 94.2 to 105.2, and ≥ 105.2
  7. CI: confidence interval
  8. Model 1: adjustment for demographics (age and sex)
  9. Model 2: Adjustment for Model 1 variables plus behaviors (pack years of 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