Table 6.

The results of multivariable-adjusted logistic regression.

	Characteristic	Log-Transformed	Q1	Q2	Q3	Q4	p-Trend
Carbohydrate	Heart failure
	Model 1	0.645 (0.494–0.849) **	1.00	1.103 (0.774–1.577)	0.729 (0.490–1.077)	0.513 (0.329–0.786) **	<0.001
	Model 2	0.694 (0.517–0.941) *	1.00	1.122 (0.779–1.619)	0.710 (0.471–1.061)	0.611 (0.384–0.956) *	0.008
	Model 3	0.791 (0.585–1.079)	1.00	1.269 (0.871–1.854)	0.845 (0.556–1.279)	0.714 (0.444–1.131)	0.076
Fat	Heart failure
	Model 1	0.677 (0.530–0.872) **	1.00	0.764 (0.524–1.108)	0.733 (0.500–1.067)	0.579 (0.384–0.862) **	0.008
	Model 2	0.691 (0.530–0.91) **	1.00	0.778 (0.528–1.139)	0.748 (0.504–1.103)	0.649 (0.422–0.987) *	0.044
	Model 3	0.722 (0.549–0.954) *	1.00	0.794 (0.533–1.177)	0.786 (0.522–1.177)	0.677 (0.433–1.046)	0.088
Protein	Heart failure
	Model 1	0.574 (0.437–0.760) ***	1.00	0.858 (0.595–1.232)	0.594 (0.395–0.882) *	0.625 (0.418–0.923) *	0.005
	Model 2	0.593 (0.435–0.815) **	1.00	0.818 (0.562–1.187)	0.593 (0.388–0.897) *	0.730 (0.474–1.113)	0.051
	Model 3	0.645 (0.471–0.889) **	1.00	0.896 (0.610–1.315)	0.622 (0.402–0.952) *	0.781 (0.502–1.204)	0.101
	Coronary artery disease
	Model 1	0.751 (0.582–0.974) *	1.00	1.092 (0.780–1.530)	0.864 (0.605–1.230)	0.879 (0.616–1.250)	0.272
	Model 2	0.680 (0.506–0.918) *	1.00	0.997 (0.700–1.422)	0.738 (0.504–1.077)	0.842 (0.571–1.239)	0.188
	Model 3	0.684 (0.504–0.931) *	1.00	0.989 (0.687–1.424)	0.664 (0.446–0.983) *	0.778 (0.519–1.162)	0.077
	Stroke
	Model 1	0.566 (0.445–0.724) ***	1.00	0.73 (0.533–0.997) *	0.553 (0.393–0.772) ***	0.481 (0.336–0.680) ***	<0.001
	Model 2	0.649 (0.495–0.857) **	1.00	0.719 (0.520–0.989) *	0.605 (0.423–0.856) **	0.622 (0.424–0.903) *	0.004
	Model 3	0.747 (0.568–0.988) *	1.00	0.769 (0.553–1.065)	0.650 (0.452–0.928) *	0.680 (0.460–0.996)	0.020

Data are presented as OR (95%CI). * p < 0.05, ** p < 0.01, *** p < 0.001. Model 1: no covariates were adjusted. Model 2: adjusted for age, sex, and race. Model 3: further adjusted for all covariates.