Table 5.

Results of multivariate analysis of risk factors for fractures after falls.

A
Datasets	Items	Estimated coefficient (β)	Standard error for β	Sig.	OR	95% CI for OR
Development dataset	FRAX score	0.069	0.026	0.008	1.072	1.018 - 1.128
	Constant	-7.865	0.572	<0.001	0.000
Test dataset	FRAX score	0.076	0.024	0.001	1.079	1.030 - 1.130
	Constant	-7.726	0.524	<0.001	0.000
B
Datasets	Items	Estimated coefficient (β)	Standard error for β	Sig.	HR	95% CI for HR
Development dataset	FRAX score	0.063	0.025	0.012	1.065	1.014 - 1.119
Test dataset	FRAX score	0.065	0.022	0.003	1.067	1.022 - 1.114
C
Datasets	Items	Estimated coefficient (β)	Standard error for β	Sig.	OR	95% CI for OR
Development dataset	STRATIFY score	0.443	0.256	0.083	1.557	0.943 - 2.569
	FRAX score	0.060	0.028	0.034	1.062	1.004 - 1.122
	Constant	-8.358	0.697	<0.001	0.000
Test dataset	STRATIFY score	0.289	0.241	0.231	1.335	0.832 - 2.141
	FRAX score	0.070	0.025	0.004	1.072	1.022 - 1.125
	Constant	-8.020	0.603	<0.001	0.000
D
Datasets	Items	Estimated coefficient (β)	Standard error for β	Sig.	HR	95% CI for HR
Development dataset	STRATIFY score	0.330	0.257	0.200	1.391	0.840 - 2.302
	FRAX score	0.056	0.027	0.035	1.058	1.004 - 1.115
Test dataset	STRATIFY score	0.153	0.240	0.523	1.165	0.729 - 1.864
	FRAX score	0.064	0.022	0.004	1.066	1.020 - 1.114

Various risk factors for falls, STRATIFY score and FRAX™ score were evaluated in development and test datasets to determine whether they are associated with fracture after falls by using multiple logistic regression analysis (A) and multivariate Cox's regression analysis (B). Significant factors were selected by using the stepwise selection method. In Tables C and D, both STRATIFY score and FRAX™ score were forcibly entered into the logistic model (C) and Cox's regression model (D). CI, confident interval; LOS, length of hospital stay; OR, odds ratio; HR, hazards ratio.