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. 2017 Oct 27;6(11):e007022. doi: 10.1161/JAHA.117.007022

Table 3.

Race‐Specific Associations Between Nocturnal SBP Levels and Each Cognitive Function

Variables DSST Stroop Test Log TMT‐B
Black Individuals (n=314) White Individuals (n=441) Black Individuals (n=314) White Individuals (n=441) Black Individuals (n=314) White Individuals (n=441)
Model 1a
Nocturnal SBP level −1.98 (−3.28 to −0.69)
P=0.003
−0.41 (−1.27 to 0.44)
P=0.35
−3.45 (−7.16 to 2.54)
P=0.07
−0.45 (−3.06 to 2.16)
P=0.74
0.06 (0.004–0.12)
P=0.048
0.02 (−0.13 to 0.04)
P=0.28
Model 2b
Nocturnal SBP level −2.00 (−3.33 to −0.67)
P=0.003
−0.37 (−1.24 to 0.49)
P=0.40
−3.67 (−7.44 to 0.09)
P=0.06
−0.38 (−3.01 to 2.24)
P=0.78
0.06 (−0.003 to 0.12)
P=0.06
0.01 (−0.01 to 0.04)
P=0.31
Model 3c
Nocturnal SBP level −1.96 (−3.26 to −0.65)
P=0.003
−0.41 (−1.27 to 0.44)
P=0.34
−3.38 (−7.04 to 0.27)
P=0.07
−0.46 (−3.07 to 2.15)
P=0.73
0.06 (−0.001 to 0.12)
P=0.05
0.02 (−0.01 to 0.04)
P=0.28

Data are given as adjusted unstandardized regression coefficient (95% CI) values associated with 1‐SD increase of nocturnal SBP levels (+18.3 mm Hg). Statistical significance was defined as P<0.05. DSST indicates Digit Symbol Substitution Task; SBP, systolic blood pressure; and TMT‐B, Trail Making Test Part B.

a

Adjustment factors for model 1 included demographic variables (age, sex, and education) plus clinical characteristics (body mass index, estimated glomerular filtration rate, prevalent diabetes mellitus, duration of hypertension, use of antihypertensive medications, prevalent stroke, and clinic SBP levels).

b

Adjustment factors for model 2 included demographic variables, clinical characteristics, and white matter hyperintensity volumes.

c

Adjustment factors for model 3 included demographic variables, clinical characteristics, and brain atrophy.