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. 2022 Aug 25;22:317. doi: 10.1186/s12883-022-02827-7

Table 3.

Parameter estimates for the ESS scores of the models predicting EQ-5D utility scores

Model Estimate SE P
(a) GLM—ESS score as a continuous variable -0.0068 0.0009  < 0.001
(b) GLM—US/RoW cutoffs (reference 0–10)
 Mild EDS (ESS, 11–12) -0.0134 0.0174 0.44
 Moderate EDS (ESS, 13–15) -0.0505 0.0165 0.002
 Severe EDS (ESS, 16–24) -0.1132 0.0159  < 0.001
(c) GLM—UK cutoffs (reference 0–10)
 Mild EDS (ESS, 11–14) -0.0268 0.0138 0.05
 Moderate EDS (ESS, 15–18) -0.0789 0.0167  < 0.001
 Severe EDS (ESS, 19–24) -0.1513 0.0236  < 0.001
(d) Piecewise linear with breakpoint at 11.29
 ESS Slope 1 (ESS, < 11.29) -0.0028 0.0018 0.13
 ESS Slope 2 (ESS, > 11.29) -0.0134 0.0031  < 0.001
(e) Linear spline with breakpoint at 11
 ESS, 0–11 -0.0026 0.0016 0.11
 ESS, 12–24 -0.0131 0.0022  < 0.001

Note: P-values for models a-c were calculated using Wald chi-square tests. P-values for models d-e were calculated using t-tests. Due to no adjustments for multiplicity, P-values presented are nominal

EDS Excessive daytime sleepiness, ESS Epworth Sleepiness Scale, GLM Generalized linear model, RoW Rest of world, SE Standard error, UK United Kingdom, US United States