Recalled Number of Falls in the Past Year—Combined With Perceived Mobility—Predicts the Incidence of Future Falls in Unilateral Lower Limb Prosthesis Users.
Autor: | Tobaigy, Moaz, Hafner, Brian J, Sawers, Andrew |
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Předmět: |
ARTIFICIAL limbs
SCIENTIFIC observation CONFIDENCE intervals SAMPLE size (Statistics) TELEPHONES INDEPENDENT variables DISEASE incidence MANN Whitney U Test GOODNESS-of-fit tests REGRESSION analysis LEG RISK assessment COMPARATIVE studies ACCIDENTAL falls PHYSICAL mobility CHI-squared test QUESTIONNAIRES ODDS ratio STATISTICAL correlation DATA analysis software LONGITUDINAL method SECONDARY analysis |
Zdroj: | PTJ: Physical Therapy & Rehabilitation Journal; Feb2022, Vol. 102 Issue 2, p1-8, 8p |
Abstrakt: | Objective: Falls are a frequent and costly concern for lower limb prosthesis (LLP) users. At present, there are no models that clinicians can use to predict the incidence of future falls in LLP users. Assessing who is at risk for falls, therefore, remains a challenge. The purpose of this study was to test whether easily accessible clinical attributes and measurements predict the incidence of future falls in LLP users. Methods: In this prospective observational study, a secondary analysis of data from 60 LLP users was conducted. LLP users reported the number of falls that they recalled over the past year before prospectively reporting falls over a 6-month observation period via monthly telephone calls. Additional candidate predictor variables were recorded at baseline. Negative binomial regression was used to develop a model intended to predict the incidence of future falls. Results: The final model, which included the number of recalled falls (incidence rate ratio = 1.13; 95% CI = 1.01 to 1.28) and Prosthetic Limb Users Survey of Mobility T-scores (incidence rate ratio = 0.949; 95% CI = 0.90 to 1.01), was significantly better than a null model at predicting the number of falls over the next 6 months (χ2 |
Databáze: | Complementary Index |
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