Open AccessSlip-Fall Predictors in Community-Dwelling, Ambulatory Stroke Survivors: A Cross-sectional Study
Author(s) -
Rachana Gangwani,
Shamali Dusane,
Shuaijie Wang,
Lakshmi Kannan,
Edward Wang,
Joyce Fung,
Tanvi Bhatt
Publication year - 2020
Publication title -
journal of neurologic physical therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.046
H-Index - 52
eISSN - 1557-0584
pISSN - 1557-0576
DOI - 10.1097/npt.0000000000000331
Subject(s) - physical medicine and rehabilitation , logistic regression , medicine , psychosocial , physical therapy , balance (ability) , ambulatory , slipping , gait , poison control , surgery , emergency medicine , engineering , psychiatry , mechanical engineering
Considering the multifactorial nature and the often-grave consequences of falls in people with chronic stroke (PwCS), determining measurements that best predict fall risk is essential for identifying those who are at high risk. We aimed to determine measures from the domains of the International Classification of Functioning, Disability and Health (ICF) that can predict laboratory-induced slip-related fall risk among PwCS.