Table 2 Summary of best fitting models for shape of change, the impact of study covariates and class descriptions
From: Frailty trajectories to identify end of life: a longitudinal population-based study
Model | Latent growth model: Intercept variance free, slope variance free, quadratic term added | Previous model plus study design covariates age and sex, intercept regressed on age and sex | Previous model specified as a latent growth mixture model with three classes | ||||
|---|---|---|---|---|---|---|---|
Log likelihood | − 530,331.072 | −529,340.060 | − 519,497.615 | ||||
Adjusted BIC | 1,060,816.13 | 1,058,848.110 | 1,039,247.203 | ||||
Estimatea | 95% CI | Estimatea | 95% CI | Estimatea | 95% CI | ||
Intercept | 25.185 | (25.048 to 25.322) | 25.893 | (25.715 to 26.071) | class 1 ‘stable class’ (n = 20,144, 76.6%) | 25.959 | (25.763 to 26.155) |
Slope | 0.151 | (0.144 to 0.158) | 0.151 | (0.144 to 0.158) | − 0.080 | (− 0.085 to – 0.074) | |
Quadratic | 0.003 | (0.003 to 0.004) | 0.003 | (0.003 to 0.004) | 0.015 | (0.015 to 0.015) | |
Age on intercept | – | – | 0.467 | (0.444 to 0.489) | 0.466 | (0.444 to 0.489) | |
Sex on intercept | – | – | − 1.594 | (− 1.864 to – 1.325) | − 1.598 | (− 1.866 to – 1.329) | |
Intercept | class 2 ‘moderately increasing class’ (n = 5572, 21.2%) | 26.232 | (25.907 to 26.558) | ||||
Slope | 0.802 | (0.765 to 0.838) | |||||
Quadratic | − 0.029 | (− 0.032 to – 0.027) | |||||
Age on intercept | 0.466 | (0.444 to 0.489) | |||||
Sex on intercept | − 1.598 | (− 1.866 to – 1.329) | |||||
Intercept | class 3 ‘rapidly rising class’ (n = 582, 2.2%) | 20.583 | (19.387 to 21.779) | ||||
Slope | 2.294 | (2.115 to 2.472) | |||||
Quadratic mean | − 0.102 | (− 0.114 to – 0.09) | |||||
Age on intercept | 0.466 | (0.444 to 0.489) | |||||
Sex on intercept | − 1.598 | (− 1.866 to – 1.329) | |||||