Table 4.
Results for Latent Growth Curve Model With Predictors for Psychological Distress
| Intercepts and slopes | Estimate | SE | z-value |
|---|---|---|---|
| Intercept (mean) | 0.001 | 0.022 | 0.052 |
| Linear slope (mean) | −0.043 | 0.032 | −1.375 |
| Quadratic slope (mean) | 0.001 | 0.012 | 0.070 |
| Intercept (variance) | 0.361 | 0.025 | 14.397** |
| Linear slope (variance) | 0.004 | 0.003 | 1.260 |
| Intercept and linear slope covariance | 0.038 | 0.015 | 2.490* |
| Intercept and quadratic slope covariance | −0.009 | 0.005 | −2.057* |
| Linear and quadratic slopes covariance | −0.001 | 0.001 | −1.075 |
| Path estimates | Estimate (std. estimate) | SE | z-value |
| Time-invariant predictors | |||
| Gender (ref: men) ➔ Intercept | 0.478 (0.287) | 0.595 | 0.803 |
| Gender (ref: men) ➔ Slope | −6.640 (−0.436) | 4.893 | −1.357 |
| Age (years) ➔ Intercept | −0.364 (−0.219) | 0.084 | −4.360** |
| Age (years) ➔ Slope | −0.024 (−0.002) | 0.586 | −0.040 |
| People coresiding ➔ Intercept | 0.070 (0.042) | 0.081 | 0.863 |
| People coresiding ➔ Slope | 0.010 (0.001) | 0.586 | 0.017 |
| Profession of risk (ref: No) ➔ Intercept | 0.532 (0.320) | 0.451 | 1.179 |
| Profession of risk (ref: No) ➔ Slope | −4.982 (−0.327) | 3.703 | −1.346 |
| Time-varying predictors | |||
| Health risk from COVID-19 (ref: No) | 0.093 | 0.036 | 2.581* |
| Self-perception of aging | 0.130 | 0.015 | 8.647** |
| Time devoted to information | 0.121 | 0.014 | 8.589** |
| Satisfaction with family support | −0.003 | 0.013 | −0.257 |
| Self-perception as a burden | 0.054 | 0.016 | 3.35** |
| Contact with relatives not coresiding | 0.037 | 0.015 | 2.478* |
| Positive emotions | −0.117 | 0.015 | −7.974** |
| Entertainment resources | −0.037 | 0.015 | −2.434* |
| Self-efficacy | −0.235 | 0.015 | −16.198** |
| Daily hours of exercise | −0.007 | 0.014 | −0.485 |
| Sleep quality | −0.114 | 0.014 | −7.953** |
| Expressed emotion | 0.190 | 0.026 | 7.401** |
| Loneliness | 0.048 | 0.015 | 3.291** |
Notes: SE = standard error; std. estimate = standardized estimate. Variables did not predict quadratic slopes due to the quadratic term variance being fixed to zero. Time-varying estimations are equal to standardized estimates due to all the variables being standardized. Time-varying predictor parameters were fixed to be equal across measurement moments.
**p < .01, *p < .05.