Table 3.

Standardized multi-regression coefficients (β) as predictors of change of MoCA-J total score between baseline and 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	0.04
	Multi-regression coefficients (β)	0.05
HT	Univariate coefficients	−0.02
	Multi-regression coefficients (β)	−0.02
DL	Univariate coefficients	0.01
	Multi-regression coefficients (β)	0.02
LDL	Univariate coefficients	0.04	0.03	0.03	0.03	0.08
	Multi-regression coefficients (β)	0.05	0.03	0.09	0.01	0.08
HDL	Univariate coefficients	0.02	0.08	0.05	−0.03	−0.07
	Multi-regression coefficients (β)	0.05	0.08*	0.09	0.01	0.00
TG	Univariate coefficients	−0.01	−0.06	−0.08	0.06	0.04
	Multi-regression coefficients (β)	−0.01	−0.04	−0.05	0.05	0.00
SBP	Univariate coefficients	0.05	0.00	0.13*	0.05	0.03
	Multi-regression coefficients (β)	0.05	0.02	0.12*	0.04	0.04
DBP	Univariate coefficients	0.05	0.11**	0.00	0.02	−0.01
	Multi-regression coefficients (β)	0.05	0.10*	−0.01	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