Identification of elderly fallers by muscle strength measures.
For efficient prevention of falls among older adults, individuals at a high risk of falling need to be identified. In this study, we searched for muscle strength measures that best identified those individuals who would fall after a gait perturbation and those who recovered their balance. Seventeen healthy older adults performed a range of muscle strength tests. We measured maximum and rate of development of ankle plantar flexion moment, knee extension moment and whole leg push-off force, as well as maximum jump height and hand grip strength. Subsequently, their capacity to regain balance after tripping over an obstacle was determined experimentally. Seven of the participants were classified as fallers based on the tripping outcome. Maximum isometric push-off force in a leg press apparatus was the best measure to identify the fallers, as cross-validation of a discriminant model with this variable resulted in the best classification (86% sensitivity and 90% specificity). Jump height and hand grip strength were strongly correlated to leg press force (r = 0.82 and 0.59, respectively) and can also be used to identify fallers, although with slightly lower specificity. These results indicate that whole leg extension strength is associated with the ability to prevent a fall after a gait perturbation and might be used to identify the elderly at risk of falling.
Pijnappels
Mirjam
M
Research Institute MOVE, Faculty of Human Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 9, 1081 BT, Amsterdam, The Netherlands. m.pijnappels@fbw.vu.nl
van der Burg
Petra J C E
PJ
Reeves
Neil D
ND
van Dieën
Jaap H
JH
D000058:Accidental Falls; D000368:Aged / Q000502:physiology*; D000842:Ankle / Q000502:physiology; D005260:Female; D005684:Gait / Q000502:physiology; D006225:Hand / Q000502:physiology; D018737:Hand Strength / Q000502:physiology; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology; D007866:Leg / Q000502:physiology; D008297:Male; D015233:Models, Statistical; D053580:Muscle Strength / Q000502:physiology*; D010809:Physical Fitness / Q000502:physiology