TY  - JOUR
PY  - 2016//
TI  - Manual and cognitive dual-tasks contribute to fall-risk differentiation in posturography measures
JO  - Journal of applied biomechanics
A1  - Sample, Renee Beach
A1  - Jackson, Kurt
A1  - Kinney, Allison L.
A1  - Diestelkamp, Wiebke
A1  - Smoot Reinert, Senia
A1  - Bigelow, Kimberly Edginton
SP  - 541
EP  - 547
VL  - 32
IS  - 6
N2  - Falls occur in 33% of older adults each year, some leading to moderate to severe injuries. To reduce falls and fall related injuries, it is important to identify individuals with subtle risk factors elevating their likelihood of falling. The objective of this study was to determine how postural sway measures differed between fallers and non-fallers under standard and dual-task conditions. Quiet-standing posturography measures were collected from 150 older adults during standard, cognitive, manual and cognitive+manual tasks, and analyzed through traditional and non-linear analyses. Of the traditional measures, M/L sway range and 95% confidence ellipse sway area showed statistically significant differences in all four test conditions between fallers and non-fallers. Although the manual dual-task showed the most stable balance, effect sizes demonstrated larger differences between fallers and non-fallers. Non-linear analysis revealed M/L sample entropy and M/L α-scaling exponent differentiating between fallers and non-fallers with the cognitive task demonstrating larger differences. Based on the results, it is recommended to: 1) apply M/L sway range and 95% confidence ellipse area, 2) utilize the manual task to differentiate between fallers and non-fallers when using traditional analyses, and 3) utilize the cognitive task and M/L alpha and M/L sample entropy when using non-linear analyses.<p />  <p>Language: en</p>
LA  - en
SN  - 1065-8483
UR  - http://dx.doi.org/10.1123/jab.2016-0038
ID  - ref1
ER  -