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. 2023 May 17;23:304. doi: 10.1186/s12877-023-04020-y

Table 3.

Quantile regression model; regression parameters estimating different quantiles (0.25, 0.50, and 0.75) of the total score of SwalQoL

Model P25 P50 P75
Coeff. 95% CI P Coeff. 95% CI P Coeff. 95% CI P
1 CFS -4.727 -7.799 -1.655 0.003 -4.503 -7.063 -1.943 0.001 -1.607 -3.037 -0.177 0.028
2 FRAIL -3.472 -5.743 -1.201 0.003 -2.593 -4.535 -0.650 0.008 -1.534 -2.343 -0.726 < 0.001
3 CFS -4.210 -7.501 -0.919 0.013 -3.622 -6.467 -0.776 0.013 -1.584 -3.080 -0.088 0.038
4 FRAIL -2.763 -5.102 -0.423 0.021 -2.621 -4.470 -0.773 0.006 -1.517 -2.533 -0.482 0.005

Coeff: Coefficient, CI: confidence interval, CFS: Clinical frailty scale, FRAIL: Fatigue, Resistance, Ambulation, Illness, Loss of weight

The dependent variable for quantile regression models was the Total Score of SwalQoL.

Independent variables for Model 1 were Age, Sex, Presence of Dementia, Malnutrition, and CFS score, for Model 2 Age, Sex, Presence of Dementia, Malnutrition, and FRAIL Score, for Model 3 Age, Sex, Stage of Dementia, Malnutrition, and CFS score; for Model 4 3 Age, Sex, Stage of Dementia, Malnutrition, and FRAIL score