Identification of fall risk predictors in daily life measurements: Gait characteristics' reliability and association with self-reported fall history

Neurorehabilitation and Neural Repair

Volumn 29, Issue 1, 2015, Pages 54-61

  Rispens, Sietse M ^a   Van Schooten, Kimberley S ^a   Pijnappels, Mirjam ^a   Daffertshofer, Andreas ^a   Beek, Peter J ^a,b   Van Dieën, Jaap H ^a,c  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b BRUNEL UNIVERSITY   (United Kingdom)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Accelerometry; Accidental falls; Activities of daily living; Aging; Elderly; Gait

Indexed keywords

ACCELERATION; ACCELEROMETRY; AGED; ARTICLE; BODY MASS; COMMUNITY LIVING; DAILY LIFE ACTIVITY; FALL RISK; FALL RISK ASSESSMENT; FALLING; FEMALE; GAIT; HUMAN; LOCOMOTION; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; MINI MENTAL STATE EXAMINATION; OUTCOME ASSESSMENT; PREDICTION; RELIABILITY; SELF REPORT; TRUNK; BIOMECHANICS; MENTAL HEALTH; PHYSIOLOGY; PSYCHOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; RISK FACTOR; VERY ELDERLY;

ACCELEROMETRY; ACCIDENTAL FALLS; ACTIVITIES OF DAILY LIVING; AGED; AGED, 80 AND OVER; BIOMECHANICAL PHENOMENA; FEMALE; GAIT; HUMANS; LOCOMOTION; MALE; MENTAL STATUS SCHEDULE; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SELF REPORT;

EID: 84918495214     PISSN: 15459683     EISSN: 15526844     Source Type: Journal    
DOI: 10.1177/1545968314532031     Document Type: Article

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