Table 2.

Coefficients and bootstrapped standard errors of the preferred model and results of the sensitivity analysis

	Preferred model				Sensitivity analysis
	Coefficient value	Standard error	T statistic	P value	Sample, no exclusions on cTTO values	Restricted sample pre-COVID	Restricted sample feedback module
$\mathrm{Intercept}$	0.038	0.0148	2.55	0.005	0.037	0.041	0.033
${\beta }_{\mathrm{MO}}$	0.227	0.0102	22.19	< 0.0001	0.220	0.228	0.230
${\beta }_{\mathrm{SC}}$	0.166	0.0108	15.32	< 0.0001	0.165	0.166	0.170
${\beta }_{\mathrm{UA}}$	0.181	0.0098	18.37	< 0.0001	0.181	0.180	0.184
${\beta }_{\mathrm{PD}}$	0.482	0.0138	34.84	< 0.0001	0.466	0.481	0.492
${\beta }_{\mathrm{AD}}$	0.439	0.0132	33.13	< 0.0001	0.434	0.446	0.447
$L_2$	0.139	0.0154	9.02	< 0.0001	0.144	0.136	0.139
$L_3$	0.258	0.0158	16.34	< 0.0001	0.262	0.258	0.254
$L_4$	0.788	0.0157	50.26	< 0.0001	0.787	0.789	0.781

Standard errors of the coefficients were derived using the Rao-Wu bootstrap with 1000 replications [50]

AD anxiety/depression, COVID coronavirus disease, cTTO composite time trade-off, MO mobility, PD pain/discomfort, SC self-care, UA usual activities, ${\beta }_x$ coefficient for dimension $x$, $L_x$ coefficient for severity level $x$