Table 2.

Univariate Latent Change Models for Memory and Depressive Symptoms

Parameter	Memory constant change model				Depressive symptoms dual change model
	Initial level		Slope		Initial level		Slope
	Est (SE)	Std	Est (SE)	Std	Est (SE)	Std	Est (SE)	Std
Mean (μ)	4.668* (.020)	—	−.152* (.006)	—	1.663* (.021)	—	.870* (.074)	—
Variance (σ)	2.619* (.078)	1	.045* (.007)	1	2.008* (.079)	1	.689* (.104)	1
Regression paths to initial level and slope
Education (in years)	.175* (.005)	.370	−.002 (.002)	−.031	−.123* (.006)	−.297	−.067* (.006)	−.276
Sex (female)	.673* (.036)	.207	−.047 (.012)	−.109	.325* (.039)	.114	.218* (.027)	.131
Age (in decades)	−.704* (.017)	−.462	−.050* (.006)	−.249	−.075 (.019)	−.056	−.066* (.011)	−.084
Number of tests before 1998	.225* (.013)	.179	−.033* (.004)	−.197	—		—
Regression estimates for time-varying covariates and self-feedback paths to memory and depressive symptoms
Heart disease	−.011 (.010)	−.002			.289* (.029)	.077
Stroke	−.131* (.020)	−.019			.352* (.045)	.057
Diabetes	−.058* (.011)	−.012			.149* (.027)	.035
Hypertension	−.031 (.008)	−.009			.138* (.019)	.048
β	“=0”			−.531* (.046)

Notes: N = 14,789. Est = nonstandardized estimate, SE = standard error, Std = standardized estimate. “=0” = parameter constrained to zero. Models fit with sampling weights and the missing at random assumption.

*p < 10^−-6.