Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment.

dementia dexterity finger function mild cognitive impairment screening

Journal

Hong Kong journal of occupational therapy : HKJOT
ISSN: 1876-4398
Titre abrégé: Hong Kong J Occup Ther
Pays: United States
ID NLM: 101175716

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 15 08 2021
accepted: 11 06 2022
entrez: 5 12 2022
pubmed: 6 12 2022
medline: 6 12 2022
Statut: ppublish

Résumé

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. 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. A significant difference was observed, especially in the number of taps in the MCI group compared with that in the control group ( 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.

Identifiants

pubmed: 36467516
doi: 10.1177/15691861221109872
pii: 10.1177_15691861221109872
pmc: PMC9716461
doi:

Types de publication

Journal Article

Langues

eng

Pagination

137-145

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Shota Suzumura (S)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.
Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.

Aiko Osawa (A)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Yoshikiyo Kanada (Y)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.

Maeda Keisuke (M)

Department of Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Eiko Takano (E)

Center of Assistive Robotics and Rehabilitation for Longevity and Good Health, National Center for Geriatrics and Gerontology, Obu, Japan.

Junpei Sugioka (J)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Maeda Natsumi (M)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Taishi Nagahama (T)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Kenta Shiramoto (K)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Katsumi Kuno (K)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Shiori Kizuka (S)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Kenji Satoh (K)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Hiroaki Sakurai (H)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.

Yuko Sano (Y)

Center for Technology Innovation, Artificial Intelligence, Research and Development Group, Hitachi Ltd, Kokubunji, Japan.

Tomohiko Mizuguchi (T)

Mew Business Producing Division, Maxell, Ltd, Yokohama, Japan.

Akihiko Kandori (A)

Center for Exploratory Research, Research & Development Group, Hitachi Ltd, Kokubunji, Japan.

Izumi Kondo (I)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.

Classifications MeSH