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. 2019 Dec 1;26(6):e733–e741. doi: 10.3747/co.26.5297

TABLE III.

Regression analysisa of clinico-demographic characteristics of the original cohort

Characteristic Univariable analysis p Valueb Global p valueb Multivariable analysis Global p valueb


Estimate 95% CI Estimate 95% CI
Age 0.0001 −0.0006 to 0.0009 0.69

Sex <0.001 <0.001
 Women Reference Reference
 Men 0.04 0.02 to 0.07 0.05 0.02 to 0.07

Education 0.01 0.008
 No university or college Reference Reference
 University or college 0.03 0.01 to 0.05 0.03 0.01 to 0.05

Household income 0.04
 ≤$100,000 Reference
 >$100,000 0.03 0.001 to 0.06

Marital status 0.02
 Married or living with partner Reference
 Other −0.03 −0.05 to −0.004

Ethnicity 0.08
 White Reference
 Other −0.02 −0.05 to 0.002

Disease site 0.04
 Breast Reference
 Gastrointestinal 0.02 −0.02 to 0.05 0.41
 Genitourinary 0.06 0.02 to 0.10 0.005
 Gynecologic −0.02 −0.06 to 0.03 0.43
 Hematologic malignancies 0.01 −0.03 to 0.05 0.56
 Thoracic and head-and-neck 0.01 −0.03 to 0.04 0.63
 Other 0.03 −0.02 to 0.08 0.26

Curative status
 Curative Reference
 Palliative 0.04 −0.01 to 0.06 0.08
a

In the univariable analysis, linear regression modelling was used to individually compare each variable with the health utility score (HUS). After stepwise selection procedures (entry: 0.10; exit: 0.05), the multivariable model identified only sex and education as being independently associated with the HUS. This multivariable model serves as the baseline model for the analysis of the relationship between the various Edmonton Symptom Assessment System symptom factors and the HUS.

b

Significant values appear in boldface type.

CI = confidence interval.