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. 2011 Aug 6;67B(2):167–177. doi: 10.1093/geronb/gbr078

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, σu02 87.09* (6.82)
    Variance Time-to/from-disability, σu12 1.16* (0.49)
    Variance Predisability × Time-to/from-disability, σu32 4.03* (1.96)
    Covariance, σu0u1 −2.96 (1.72)
    Covariance, σu0u3 11.59* (2.76)
    Covariance, σu1u3 −1.88 (1.05)
    Residual, σe12 41.71* (4.46)
    Residual, σe22 47.85* (4.41)
    Residual, σe32 46.86* (5.34)
    Residual, σe42 38.51* (7.04)
    Residual, σe52 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.