. Author manuscript; available in PMC: 2014 Oct 1.

Published in final edited form as: Psychoneuroendocrinology. 2013 May 25;38(10):2209–2217. doi: 10.1016/j.psyneuen.2013.04.010

Table 2.

Results from unconditional means models (Model 1) and basic growth curve models (Model 2), modeling log-transformed hs-CRP from ages 9 to 21.

	Females N = 2,704 observations				Males N = 3,191 observations
	Model 1		Model 2		Model 1		Model 2
	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE
*Fixed Effects*
Intercept	0.233^**	0.008	0.182^**	0.010	0.204^**	0.007	0.188^**	0.007
Age			0.019^**	0.002			0.012^**	0.001
Age²			0.003^**	0.0005
American Indian^#			0.101^**	0.017			0.114^**	0.016
African American^#			0.014	0.042			0.031	0.030
*Random Effects*
Intercept	0.020^**	0.002	0.024^**	0.002	0.015^**	0.001	0.019^**	0.002
Age			0.0008^**	0.0001			0.0003^**	0.0001
Age²			0.00004^**	0.00006			0.00002^**	0.000003
Residual	0.038^**	0.001	0.022^**	0.008	0.027^**	0.001	0.022^**	0.0006
ICC	0.34				0.36
*Model Fit*
REML Deviance	1336.4		507.9		640.0		313.4
AIC	1340.4		521.9		644.0		327.4
BIC (smaller is better)	1349.3		552.6		653.4		359.6

Reference group = White

^**

p < .01

Acronyms: REML = Restricted Maximum Likelihood; AIC= Akaike’s information criterion; BIC = Bayesian information criterion ICC = Intercept random effect/(Intercept random effect + Residual random effect)