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Response time measurements in the iOS app-based Token Test, the Brief Token Test in the elderly

Authors
 HyangHee Kim  ;  Jee Eun Sung  ;  JungWan Kim  ;  Eun Jeong Park  ;  Ji Hye Yoon  ;  Hyun Ji Yoo  ;  Soo Ryon Kim 
Citation
 GERIATRICS & GERONTOLOGY INTERNATIONAL, Vol.14(4) : 969-974, 2014 
Journal Title
 GERIATRICS & GERONTOLOGY INTERNATIONAL 
ISSN
 1444-1586 
Issue Date
2014
MeSH
Aged ; Aged, 80 and over ; Aging/physiology* ; Cell Phone* ; Cognition/physiology* ; Female ; Humans ; Male ; Mobile Applications* ; Neuropsychological Tests ; Pattern Recognition, Physiological/physiology* ; Reaction Time/physiology* ; Retrospective Studies ; Speech Intelligibility/physiology*
Keywords
Token Test ; aging ; linguistic slowing ; response time ; verbal comprehension
Abstract
AIM: A pen and paper Token Test utilizing binary scoring of accuracy-inaccuracy in responses evaluates linguistic functions including verbal comprehension. However, the test might not be sensitive enough to detect the aging effect on performance in normal older adults unless the test utilizes a multidimensional scoring system. We hypothesized that the measurement of response time (RT) instead of accuracy would be a feasible way to measure deterioration of verbal comprehension as a function of age in this linguistically vulnerable population. METHODS: Data were acquired from 174 community-dwelling normal older adults (147 females and 27 males, mean age 75.9 ± 6.13 years, range 65-94 years). In order to automatically quantify accuracies and RT, we developed an iOS app-based Token Test, comprising of four subtests (24 items, 6 items in each subtest), and administered it to each participant. RESULTS: RT of the second, third and fourth subtests (P < 0.001, P < 0.01, P < 0.05, respectively) and the average RT across all four subtests (P < 0.01) had significant partial correlation coefficients with age. The results of the multiple linear regression analyses showed that the models for RT and average RT analyses of the three subtests (2, 3 and 4) included the age variable. CONCLUSION: RT measurement of the iOS app-based Token Test could be highly useful and convenient to better detect abnormalities in linguistic efficiency. RT measurement in the Token Test could be used as a screening tool for linguistic slowing in the elderly population.
Full Text
http://onlinelibrary.wiley.com/doi/10.1111/ggi.12182/abstract
DOI
10.1111/ggi.12182
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Rehabilitation Medicine (재활의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Hyang Hee(김향희) ORCID logo https://orcid.org/0000-0003-4949-2512
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/100334
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