TY - JOUR
T1 - Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment
AU - Suzumura, Shota
AU - Osawa, Aiko
AU - Kanada, Yoshikiyo
AU - Keisuke, Maeda
AU - Takano, Eiko
AU - Sugioka, Junpei
AU - Natsumi, Maeda
AU - Nagahama, Taishi
AU - Shiramoto, Kenta
AU - Kuno, Katsumi
AU - Kizuka, Shiori
AU - Satoh, Kenji
AU - Sakurai, Hiroaki
AU - Sano, Yuko
AU - Mizuguchi, Tomohiko
AU - Kandori, Akihiko
AU - Kondo, Izumi
N1 - Publisher Copyright:
© The Author(s) 2022.
PY - 2022/12
Y1 - 2022/12
N2 - Aim: A 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. Methods: Between 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. Results: A 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. Conclusions: These 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.
AB - Aim: A 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. Methods: Between 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. Results: A 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. Conclusions: These 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.
KW - dementia
KW - dexterity
KW - finger function
KW - mild cognitive impairment
KW - screening
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U2 - 10.1177/15691861221109872
DO - 10.1177/15691861221109872
M3 - Article
AN - SCOPUS:85135839393
SN - 1569-1861
VL - 35
SP - 137
EP - 145
JO - Hong Kong Journal of Occupational Therapy
JF - Hong Kong Journal of Occupational Therapy
IS - 2
ER -