TABLE 4.

Probit and Logistic Regression Results From SEM Model

	Probit Regression Results			Logistic Regression Results			Odds ratio (95% CI)
	B (SE)	Z	p	B (SE)	Z	p
T1 CVD on
Age	0.03 (0.00)	10.94	<0.001	0.05 (0.00)	10.18	<0.001	1.05 (1.04–1.05)
Male	0.22 (0.04)	4.95	<0.001	0.41 (0.07)	5.86	<0.001	1.51 (1.31–1.73)
Other than non–Hispanic white	−0.09 (0.04)	−2.15	0.032	−0.17 (0.07)	−2.45	0.014	0.84 (0.73–0.97)
Bachelor’s degree or higher	−0.32 (0.06)	−5.27	<0.001	−0.48 (0.10)	−4.77	<0.001	0.62 (0.51–0.76)
T1depressive symptoms on
T1 CVD	0.23 (0.03)	9.30	<0.001	0.43 (0.05)	9.42	<0.001
Age	0.00 (0.00)	−1.24	0.215	0.00 (0.00)	−1.37	0.171
Male	−0.19 (0.04)	−4.21	<0.001	−0.13 (0.04)	−3.15	0.002
Other than non–Hispanic white	0.39 (0.07)	5.97	<0.001	0.31 (0.07)	4.25	<0.001
Bachelor’s degree or higher −0.43 (0.06)	−0.43 (0.06)	−7.00	<0.001	−0.40 (0.04)	−9.56	<0.001
T2 depression score on
T1 depressions score	0.44 (0.01)	34.59	<0.001	0.44 (0.02)	22.65	<0.001
T1 CVD	0.08 (0.02)	3.62	<0.001	0.17 (0.04)	4.44	<0.001
T2 CVD	0.10 (0.02)	4.26	<0.001	0.34 (0.07)	4.81	<0.001
T2 CVD on
T1 depressive symptoms	0.08 (0.02)	4.20	<0.001	0.19 (0.04)	5.61	<0.001	1.21 (1.13–1.30)
T1 CVD	0.28 (0.04)	7.19	<0.001	0.89 (0.13)	7.00	<0.001	2.44 (1.90–3.13)

Notes: MPlus does not generate the fit indices for logistic regression models.

Probit model:

Goodness of fit: χ² (8) = 45.32, p <0.001.

Comparative Fit Index = 0.966.

Tucker-Lewis Index = 0.906.

Root Mean Square Error of Approximation = 0.029.

Weighted Root Mean Square Residual = 1.156.