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. 2020 Aug 12;18:275. doi: 10.1186/s12955-020-01524-8

Table 4.

Regression model for predicting EORTC QLQ-C30 scores using age, sex, and the presence of health conditions

Intercept Sex Age in years Age in years (squared) Age-by-sex Health conditions (yes/no)
Physical functioning 84.533 0.463 0.564 -0.007 -0.053 -7.443
Role functioning 90.685 −3.946 0.378 −0.005 0.030 −11.821
Emotional functioning 83.923 −6.531 −0.272 0.006 0.062 −14.523
Cognitive functioning 81.214 −2.626 0.567 −0.005 0.053 −10.696
Social functioning 92.991 4.809 0.026 0.001 −0.084 −11.907
Global health/QoL 79.543 −5.945 0.156 − 0.001 0.064 −16.450
Fatigue 34.835 0.769 −0.631 0.004 0.054 15.793
Nausea/vomiting 7.393 3.556 −0.283 0.002 −0.058 3.455
Pain 8.274 −0.048 −0.020 0.001 0.040 20.817
Dyspnea 2.883 −4.231 −0.010 0.001 0.128 9.932
Insomnia −4.711 8.358 0.588 −0.005 − 0.043 15.569
Appetite loss 15.318 9.242 −0.708 0.007 −0.128 7.158
Constipation 2.587 5.172 −0.064 0.001 −0.044 3.769
Diarrhea 6.984 3.574 −0.001 0.000 −0.095 4.532
Financial difficulties 6.042 0.449 −0.145 0.000 0.029 8.990

Coding is: sex (male = 0, female = 1), age in years (above 18), age by sex (age in years*sex); health conditions (no health conditions = 0, at least one health condition = 1); QoL quality of life