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. Author manuscript; available in PMC: 2009 Dec 9.
Published in final edited form as: Pain. 2008 Mar 24;138(3):497–506. doi: 10.1016/j.pain.2008.01.028

Table 3.

Model Coefficients for Pain Predicting Insomnia over Two Year Follow-up Period*

Variable Unstandardized
Beta
Standardized
Beta
Unstandardized
Odds Ratio
(95% CI)
p-value
Discharge Insomnia 0.69 0.34 1.99
(1.27, 3.16)
0.003
Discharge SF-36 Bodily Pain IndexΩ −0.13 −0.30 0.88
(0.80, 0.97)
0.006
Discharge SF-36 Mental Health IndexΩ −0.06 −0.12 0.95
(0.84,1.06)
0.33
Preburn SF-36 Mental Health IndexΩ −0.21 −0.42 0.81
(0.71, 0.92)
0.002
Preburn SF-36 General Health IndexΩ 0.03 0.05 1.03
(0.90, 1.16)
0.63
Preburn SF-36 Bodily Pain IndexΩ 0.04 0.09 1.04
(0.94, 1.15)
0.48
Sex 0.30 0.13 1.35
(0.87, 2.10)
0.19
Time Since Discharge −0.14 −0.09 0.87
(0.63, 1.21)
0.42
Percent Body Surface Area Burned 0.01 0.10 1.01
(0.99, 1.02)
0.51
Percent Body Surface Area Grafted −0.00 −0.09 0.99
(0.96, 1.02)
0.58
Days in I.C.U 0.01 0.23 1.02
(0.99,1.04)
0.16
Age (years) 0.01 0.09 1.01
(0.99,1.02)
0.42
College Educated −0.34 −0.15 0.72
(0.45, 1.15)
0.15
White (vs. non-White) 0.22 0.10 1.25 (0.79,2.0) 0.36

Note: lower scores on the SF-36 indicate more severe symptoms or decreased function in that domain

*

Brief Symptom Inventory Item# 25 (insomnia = endorsed moderate to extreme distress with trouble falling asleep in the past 7 days)

Null model likelihood ratio test: ChiSq = 8.07, 1 df, p = 0.005

Ω

Values are expressed in units of 10 to facilitate interpretation of odds ratios. Thus, for SF-36 bodily pain, the O.R. = .88, indicates that every 10 point increase in the bodily pain index (increase = less pain) decreased the risk of insomnia by 12%