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. 2023 Apr 24;46(8):1829–1839. doi: 10.1038/s41440-023-01271-5

Table 2.

Standardized multi-regression coefficients (β) as predictors of MoCA-J total score at follow-up

Total n = 1186 With HT&DL n = 553 With HT n = 304 With DL n = 178 Without HT&DL n = 151
Model 1 Model 2 Model 3 Model 4 Model 1
HT & DL Univariate coefficients −0.05
Multi-regression coefficients (β) 0.04
HT Univariate coefficients −0.11**
Multi-regression coefficients (β) −0.02
DL Univariate coefficients 0.02
Multi-regression coefficients (β) 0.01
LDL Univariate coefficients 0.06* −0.03 0.15** 0.10 0.11
Multi-regression coefficients (β) 0.04 0.02 0.07 0.01 0.07
HDL Univariate coefficients 0.13*** 0.14*** 0.15** 0.18* 0.09
Multi-regression coefficients (β) 0.04 0.06* 0.08 0.01 0.00
TG Univariate coefficients −0.01 −0.02 −0.02 −0.08 −0.05
Multi-regression coefficients (β) −0.01 −0.03 −0.05 0.04 0.00
SBP Univariate coefficients −0.05 −0.05 0.09 −0.05 −0.03
Multi-regression coefficients (β) 0.04 0.01 0.10* 0.03 0.03
DBP Univariate coefficients 0.06* 0.11* 0.12* 0.08 −0.02
Multi-regression coefficients (β) 0.04 0.08* 0.00 0.03 0.03

The covariates of model 1 include age, sex, diabetes, BMI, smoking and drinking history, and the MoCA-J total score at the baseline

The covariates of model 2 include model 1 + anti-hypertensive treatment and anti-dyslipidemia treatment

The covariates of model 3 include model 1 + anti-hypertensive treatment

The covariates of model 4 include model 1 + anti-dyslipidemia treatment

Parameter estimates (β) can be interpreted as differences in MoCA-J total scores for each 1 mg dL increase in LDL, HDL, and TG, and 1 mmHg increase in SBP and DBP

HT hypertension, DL dyslipidemia, LDL-C low-density lipoprotein-cholesterol, HDL-C high-density lipoprotein-cholesterol, TG triglycerides, SBP systolic blood pressure, DBP diastolic blood pressure, MoCA-J the Japanese version of Montreal Cognitive Assessment

*P < 0.05, **P < 0.01, ***P < 0.001