Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment

被引:11
作者
Suzumura, Shota [1 ,2 ,8 ]
Osawa, Aiko [1 ]
Kanada, Yoshikiyo [2 ]
Keisuke, Maeda [3 ]
Takano, Eiko [4 ]
Sugioka, Junpei [1 ]
Natsumi, Maeda [1 ]
Nagahama, Taishi [1 ]
Shiramoto, Kenta [1 ]
Kuno, Katsumi [1 ]
Kizuka, Shiori [1 ]
Satoh, Kenji [1 ]
Sakurai, Hiroaki [2 ]
Sano, Yuko [5 ]
Mizuguchi, Tomohiko [6 ]
Kandori, Akihiko [7 ]
Kondo, Izumi [1 ]
机构
[1] Natl Ctr Geriatr & Gerontol, Dept Rehabil Med, Obu, Japan
[2] Fujita Hlth Univ, Fac Rehabil, Sch Hlth Sci, Toyoake, Japan
[3] Natl Ctr Geriatr & Gerontol, Dept Geriatr Med, Obu, Japan
[4] Natl Ctr Geriatr & Gerontol, Ctr Assist Robot & Rehabil Longev & Good Hlth, Obu, Japan
[5] Hitachi Ltd, Ctr Technol Innovat, Artificial Intelligence Res & Dev Grp, Kokubunji, Japan
[6] Maxell Ltd, Mew Business Producing Div, Yokohama, Japan
[7] Hitachi Ltd, Ctr Exploratory Res, Res & Dev Grp, Kokubunji, Japan
[8] Natl Ctr Geriatr & Gerontol, Dept Rehabil Med, 7-430 Morioka cho, Obu City, Aichi 4748511, Japan
关键词
mild cognitive impairment; dementia; screening; finger function; dexterity; ALZHEIMERS-DISEASE; PREVALENCE;
D O I
10.1177/15691861221109872
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
AimA testing method for early diagnosis of Mild cognitive dementia (MCI) that can be easily applied in clinical practice was investigated in this study. We examined whether MCI risk can be determined through finger movements.MethodsBetween 2013 and 2020, 1097 individuals were screened. After applying propensity-score matching to adjust for variability between the groups, 173 individuals each in the mild cognitive impairment and control groups were selected. Thereafter, differences between groups in mean values of parameters extracted from finger tap movements were determined using unpaired t-test and effect size. Furthermore, area under the curve, sensitivity, and specificity were calculated from the receiver operating characteristic curve for parameters with significant difference.ResultsA significant difference was observed, especially in the number of taps in the MCI group compared with that in the control group (p < .001; 95% CI, -12.7 to -8.8; r = 0.51). A cut-off value of 30 taps was applied (sensitivity, 0.77; specificity, 0.67; AUC, 0.79). Significant differences were also observed in rhythm-related parameters.ConclusionsThese parameters might be useful for capturing MCI risk. Finger taps are easily measured and may be suitable for screening large populations. This tool might be used as a supplemental method to increase the sensitivity of traditional cognitive tests.
引用
收藏
页码:137 / 145
页数:9
相关论文
共 36 条
  • [1] Abe Takumi, 2017, J Phys Ther Sci, V29, P1737, DOI 10.1589/jpts.29.1737
  • [2] Understanding diagnostic tests 3: receiver operating characteristic curves
    Akobeng, Anthony K.
    [J]. ACTA PAEDIATRICA, 2007, 96 (05) : 644 - 647
  • [3] Alzheimer's Disease International, 2021, DEM STAT
  • [4] Brink T., 1982, CLIN GERONTOLOGIST, V1, P37, DOI [10.1300/J018v01n01_06, DOI 10.1300/J018V01N01_06, 10.1300/j018v01n01_06]
  • [5] The Trajectory of Gait Speed Preceding Mild Cognitive Impairment
    Buracchio, Teresa
    Dodge, Hiroko H.
    Howieson, Diane
    Wasserman, Dara
    Kaye, Jeffrey
    [J]. ARCHIVES OF NEUROLOGY, 2010, 67 (08) : 980 - 986
  • [6] Cohen J., 1988, STAT POWER ANAL BEHA, P75
  • [7] Impairment of fine motor dexterity in mild cognitive impairment and Alzheimer's disease dementia: association with activities of daily living
    de Paula, Jonas J.
    Albuquerque, Maicon R.
    Lage, Guilherme M.
    Bicalho, Maria A.
    Romano-Silva, Marco A.
    Malloy-Diniz, Leandro F.
    [J]. REVISTA BRASILEIRA DE PSIQUIATRIA, 2016, 38 (03) : 235 - 238
  • [8] Cerebellar and premotor function in bimanual coordination: parametric neural responses to spatiotemporal complexity and cycling frequency
    Debaere, F
    Wenderoth, N
    Sunaert, S
    Van Hecke, P
    Swinnen, SP
    [J]. NEUROIMAGE, 2004, 21 (04) : 1416 - 1427
  • [9] Prevalence of mild cognitive impairment in an urban community in China: A cross-sectional analysis of the Shanghai Aging Study
    Ding, Ding
    Zhao, Qianhua
    Guo, Qihao
    Meng, Haijiao
    Wang, Bei
    Luo, Jianfeng
    Mortimer, James A.
    Borenstein, Amy R.
    Hong, Zhen
    [J]. ALZHEIMERS & DEMENTIA, 2015, 11 (03) : 300 - 309
  • [10] The influence of handedness on the clinical presentation and neuropsychology of Alzheimer disease
    Doody, RS
    Vacca, JL
    Massman, PJ
    Liao, TY
    [J]. ARCHIVES OF NEUROLOGY, 1999, 56 (09) : 1133 - 1137