Falls and falls efficacy: the role of sustained attention in older adults

BMC Geriatrics

Table 2 Logistic regression modelling of SART measures between non-fallers and fallers controlling for age and gender

Dependent Variable: non-faller versus faller
Logistic Model	Independent Variables	Factor Coefficients
		p-value	OR	Lower 95% CI	Upper 95% CI
1	Mean Reaction Time	0.038	1.00*	1.00	1.01
	Age	< 0.001	1.06	1.03	1.10
	Gender	< 0.001	0.44	0.28	0.68
2	Standard Deviation of Reaction Time	0.174	1.00	0.99	1.00
	Age	< 0.001	1.07	1.03	1.10
	Gender	< 0.001	0.43	0.28	0.97
3	Slow Frequency Variability from FFT	0.943	1.00	0.97	1.04
	Age	< 0.001	1.06	1.03	1.10
	Gender	< 0.001	0.42	0.26	0.68
4	Fast Frequency Variability from FFT	0.009	1.14*	1.03	1.26
	Age	0.001	1.06	1.02	1.09
	Gender	0.001	0.43	0.26	0.69
5	Commission Errors	0.825	1.00	0.96	1.04
	Age	< 0.001	1.07	1.04	1.11
	Gender	< 0.001	0.42	0.27	0.65
6	Omission Errors	0.126	1.01	0.99	1.02
	Age	< 0.001	1.07	1.04	1.10
	Gender	< 0.001	0.43	0.27	0.67

Significant independent variables in the models are indicated with p-values and odds ratios (OR) with 95% confidence intervals (CI). Asterisks (*) indicate SART variables significantly associated with fallers.

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