Table 3.
Growth Models for Depressive Symptoms Over Time-To/From-Disability
| Depressive symptoms | |
| Parameter | Estimate (SE) |
| Fixed effects | |
| Intercept, γ00 | 51.54* (0.42) |
| Time-to/from disability, γ10 | −0.43* (0.15) |
| Predisability, γ20 | −1.39 (0.74) |
| Predisability × Time-To/From-disability, γ30 | 0.51* (0.24) |
| Random effects | |
| Variance intercept, | 87.09* (6.82) |
| Variance Time-to/from-disability, | 1.16* (0.49) |
| Variance Predisability × Time-to/from-disability, | 4.03* (1.96) |
| Covariance, σu0u1 | −2.96 (1.72) |
| Covariance, σu0u3 | 11.59* (2.76) |
| Covariance, σu1u3 | −1.88 (1.05) |
| Residual, | 41.71* (4.46) |
| Residual, | 47.85* (4.41) |
| Residual, | 46.86* (5.34) |
| Residual, | 38.51* (7.04) |
| Residual, | 87.05* (18.26) |
| Pseudo R2 | .129 |
| −2LL | 13,551 |
| AIC | 13,581 |
Notes: Unstandardized estimates and standard errors are presented. Intercept is centered at disability onset; slope or rate of change is scaled in T-units per year. N = 779 who provided 1,848 observations. Scores for depressive symptoms standardized to a T metric (M = 50, SD = 10) using the pooled sample of all oldest old participants at baseline assessment T1 as the reference (N = 1,440). AIC = Akaike Information Criterion; −2LL = −2 log likelihood, relative model fit statistics. The Pseudo R2 was obtained from comparing the residual within-person variance from the conditional model, including the time-to/from-disability as the time variable with that obtained from an unconditional or intercept-only model (see Snijders & Bosker, 1999, pp. 99–105).
*p < .05.