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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Cogn Behav Neurol. 2017 Sep;30(3):90–97. doi: 10.1097/WNN.0000000000000128

TABLE 3.

Regression Coefficients Estimating Cognitive Function from Blood Pressure Variability Indices, Adjusted for Demographic Characteristics and Medical Conditions

MMSE1 Computer Assessment of Mild Cognitive Impairment2

Attention Executive Function Verbal Memory Functional Memory Incidental Memory
Systolic blood pressure

 Range 0.01 (0.02) 0.18 (0.15) 0.03 (0.13) − 0.01 (0.19) − 0.29 (0.17) − 0.17 (0.14)
 Standard deviation 0 (0.04) 0.31 (0.29) 0.06 (0.23) 0.04 (0.36) − 0.61 (0.32) − 0.32 (0.27)
 Coefficient of variation 0.02 (0.06) 0.43 (0.43) 0.06 (0.35) − 0.23 (0.53) − 0.92 (0.48) − 0.59 (0.4)
 Random slope 0.07 (0.27) 2.39 (1.92) 0.04 (1.57) 0.59 (2.41) − 4.05 (2.15) − 1.57 (1.80)

Diastolic blood pressure

 Range − 0.02 (0.04) 0.07 (0.26) − 0.23 (0.22) − 0.62 (0.32) − 0.26 (0.3) − 0.58 (0.24)*
 Standard deviation − 0.05 (0.07) 0.08 (0.5) − 0.51 (0.4) − 1.16 (0.61) − 0.63 (0.56) − 1.13 (0.45)*
 Coefficient of variation − 0.05 (0.05) 0.02 (0.39) − 0.39 (0.31) − 1 (0.46)* − 0.55 (0.43) − 0.94 (0.35)
 Random slope − 2.85 (3.93) 3.91 (29.27) − 26.26 (23.56) − 65.68 (35.61) − 29.42 (33.13) − 58.97 (26.53)*
*

P < 0.05.

P < 0.01.

Data are shown as regression coefficient (standard error).

We adjusted the results for age, sex, education level, and medical conditions (diabetes, hypercholesterolemia, obesity, and stroke). Regression diagnostics showed no violation of assumptions (including linearity, normality of residuals, homoscedasticity, influential observations, and collinearity) for any of the models.

MMSE = Mini-Mental State Examination.