Table 6 Best fitting growth curve models for health measures
From: Autism through midlife: trajectories of symptoms, behavioral functioning, and health
| Â | 6A. Health Rating | 6B. Psychotropic Medications | 6C. Non-psychotropic Medications |
|---|---|---|---|
Best fitting Model | Model 1 | Model 3 | Model 4 |
Fixed Effects | |||
 T1 age | .01 (.00)** | -.04 (.01)*** | -.07 (.01)*** |
 Sex (Female = 1) | -.08 (.06) | -.10 (.12) | .22 (.11) |
 ID (ID = 1) | .06 (.06) | .01 (.15) | -.15 (.18) |
 Age | -.02 (.00)*** | .03 (.01)*** | -.02 (.02) |
 Age-squared | – | – | .002 (.000)*** |
 Age x ID | – | .03 (.01)** | .09 (.02)*** |
 Age-sq x ID | – | – | -.0015 (.0005)** |
 Constant | 3.25 (.06)*** | .90 (.13)*** | .76 (.15)*** |
Random Effectsa | |||
 Var. (Age) | .000 [.000, .001] | .003 [.003, .004] | .003 [.003, .005] |
 Var. (intercept) | .284 [.211, .381] | 1.09 [.869, 1.37] | .672 [.462, .977] |
 Cov. (Age, intercept) | -.005 [-.009, -.001] | -.030 [-.042, -.017] | -.020 [-.034, -.007] |
 Var. (Level-1 residual) | .246 [.230, .263] | .406 [.379, .435] | .771 [.720, .825] |