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. 2023 Sep 8;14:1228302. doi: 10.3389/fneur.2023.1228302

Table 2.

Validity analysis of the gait and mobility measures: multiple logistic regression.

Model b eb p-values AUC (95% CI) AIC
h 0.66 (0.59–0.74) 281.7
Age, years 0.00 1.00
Gender, male −0.57 0.56
Condition, chronic 0.76 2.15
Cognitive impairment, yes 0.31 1.36
Urinary incontinence, yes 0.65 1.92
h + GS 0.67 (0.60–0.74) 280.2
Gait speed, m/s −0.98 0.37 0.063
h + WR 0.67 (0.59–0.74) 283.3
Walk ratio, cm/steps/min 0.97 2.64 0.565
h + MB 0.69 (0.62–0.76) 276.1
Mini-BESTest, logits −0.29 0.75 0.006
h + TUG 0.68 (0.61–0.75) 279.4
TUG duration, s 0.06 1.06 0.040
h + STW 0.67 (0.60–0.74) 280.4
STW duration, s 1.31 3.72 0.069
h + Turn 0.69 (0.62–0.76) 274.0
Turn duration, s 1.45 4.24 0.002
h + ω 0.68 (0.60–0.75) 278.5
Peak angular velocity, °/s −0.01 0.99 0.023

Coefficients (b) and exponentiated coefficients (eb) from the multiple logistic regression models. h: model h, the model only includes fall risk factors from the medical history. h+: models including the fall risk factors from the medical history (i.e., the same variables included in model h) plus a single gait or mobility measure. For example, in h + GS the gait speed (GS) is added to the risk factors from model h. WR, walk ratio; MB, Mini-BESTest; TUG, total duration of the TUG test; STW, sit-to-walk duration; Turn, TUG turning duration; ω, peak of the vertical angular velocity during turning. Only the estimate of the mobility measure is reported for the h + models. p-value: type 1 error probability of the likelihood ratio test comparing model h with one of the seven h + models. p-values < 0.05 indicate that adding the mobility measure to the fall risk factors from the history increases the model’s predictive accuracy. Therefore, the added mobility measure is a significant faller predictor. The area under the curve (AUC) and the Akaike information criterion (AIC) of the h and h + models are also reported. 95% CI: 95% confidence intervals of the AUC.