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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: Brain Behav Immun. 2016 Feb 9;54:226–232. doi: 10.1016/j.bbi.2016.02.008

Table 2.

Parameter estimates and standard errors for bivariate and final multivariate mixed models of predictors for IL-6.

Model
1
Model
2
Model
3
Mode
l 4
Model
5
Model
6
Mode
l 7
Model
8
Model
9
Fixed
effects
Predictor
units
Intercept 0.035
(0.066)
0.20
(0.074)
0.035
(0.067)
0.20
(0.10)
−0.36
(0.17)
0.028
(0.064)
−0.20
(0.076
)
0.033
(0.064)
−0.26
(0.20)
Wave Each 6-
month
interval
−0.05
(0.012)
Neuroticis
m
Each point
(possible
range = 0.7
−3.6)
−0.085
(0.13)
Sex Reference
= female
−0.29
(0.13)
−0.22
(0.12)
Age Each year
at study
entry
0.028
(0.011)
0.027
(0.011)
BMI Each log
unit
2.62
(0.86)
2.75
(0.86)
Statin use Reference
= no
0.16
(0.090
)
0.11
(0.087)
Stable
SRH
Each unit
change in
scale (e.g.,
from good
to fair)
−0.29
(0.074)
−0.21
(0.073)
Dynamic
SRH
Each unit
change in
scale (e.g.,
from good
to fair)
0.006
(0.050)
−0.004
(0.049)
Random
effects
Residual stable
(between-person)
variance
0.46
(0.071)
0.44
(0.072)
0.46
(0.071)
0.45
(0.069
)
0.44
(0.068)
0.42
(0.067)
0.46
(0.072
)
0.41
(0.064)
0.35
(0.057)
Residual dynamic
(within-person)
variance
0.54
(0.030)
0.50a
(0.030)
0.54
(0.030)
0.54
(0.030
)
0.54
(0.030)
0.54
(0.030)
0.53
(0.031
)
0.53b
(0.031)
0.54
(0.030)
Change in −2 log
likelihoodc

24.46**
−0.44
4.81*
−6.13*
9.05**
−2.97
14.65**

34.35**

Note. Interleukin-6 (IL-6) was log-transformed and standardized to Z-scores before analysis. The models are based on 769 observations except for Model 7 and 9, which include 738 observations and were compared to a Model 1 fit onto these observations (−2 LL = 1854.87). SRH = Self-rated health. BMI = Body Mass Index.

*

p < .05

**

p < .001

a

Variance in the effect of wave was included in the model (estimate = 0.003, SE = 0.002) but was statistically nonsignificant (p = .12)

b

Variance in the effect of dynamic SRH was included in the model (estimate = 0.01, SE = 0.029) but was statistically nonsignificant (p = .72)

c

Change in −2 log likelihood compared to Model 1 (−2 LL = 1930.7) when models were refit with maximum likelihood.