Table 2.

GMM parameter estimates for predicted growth mixture model latent classes from 5 assessments of pain-related interference with walking

	Recurrent Interference	Continuous Improvement
Parameter estimates	(na = 45) mean (SE)	(na = 157) mean (SE)
Intercept	6.96 (0.26)f	5.63 (0.14)f
Linear slope	−0.14 (0.05)e	−0.16 (0.03)f
Quadratic slope	0.003 (0.001)e	0.002 (< 0.0005d)f
Variancesb
Interceptc	0.97 (0.19)e	0.97 (0.19)e

GMM: growth mixture model; SE: standard error.

^aPredicted class sizes based on their most likely class membership.

^bSlope variances were fixed at zero to assist in estimation.

^cIntercept variances were set equal for the classes to aid in estimation, given the small sample size.

^dStandard error too small to be displayed with only 3 decimals in the Mplus output.

^ep < 0.01

^fp < 0.001