[Table/Fig-5]:

Multiple linear regression to predict the different dimensions of foot health status questionnaire and the FFI adjusting for gender, age, comorbidity and presence of flatfoot.

Variables	Linear regression model to predict dimension score foot pain FHSQ
	B	Standard error	Beta	t	p
Gender	-9.225	3.743	-0.249	-7.016	<0.001
Age	-0.007	0.060	-0.004	-2.134	0.913
Charlson Score	-1.284	0.602	-0.080	-2.134	0.003
Flat Foot	-2.931	1.510	-0.070	-1.942	0.053
Variables	Linear regression model to predict dimension score function foot FHSQ
	B	Standard error	Beta	t	p
Gender	-5.872	1.148	-0.183	-5.116	<0.001
Age	-0.054	0.053	-0.039	-1.029	0.304
Charlson Score	-1.009	0.525	-0.073	-1.922	0.055
Flat Foot	-3.329	1.317	-0.092	-2.528	0.012
Variables	Linear regression model to predict score footwear dimension FHSQ
	B	Standard error	Beta	t	p
Gender	-10.305	2.591	-0.142	-3.977	<0.001
Age	-0.519	0.119	-0.165	-4.351	<0.001
Charlson Score	1.286	1.185	0.041	1.086	0.278
Flat Foot	-6.897	2.979	-0.084	-2.315	0.021
Variables	Linear regression model to predict overall health score foot dimension FHSQ
	B	Standard error	Beta	t	p
Gender	-9.214	1.527	-0.215	-6.035	<0.001
Age	-0.094	0.070	-0.051	-1.336	0.182
Charlson Score	-1.248	0.699	-0.068	-1.786	0.074
Flat Foot	-3.614	1.752	-0.075	-2.063	0.039
Variable	Linear regression model to predict final score of the Foot Function Index
	B	Standard error	Beta	t	p
Sexo	4.400	1.031	0.177	4.269	<0.001
Edad	0.056	0.049	0.051	1.155	0.249
Charlson score	1.242	0.489	0.112	2.540	0.011
Pie plano	1.821	1.187	0.066	1.534	0.126