{"title":"用于评估轻度认知障碍风险的手指敲击测试。","authors":"Shota Suzumura, Aiko Osawa, Yoshikiyo Kanada, Maeda Keisuke, Eiko Takano, Junpei Sugioka, Maeda Natsumi, Taishi Nagahama, Kenta Shiramoto, Katsumi Kuno, Shiori Kizuka, Kenji Satoh, Hiroaki Sakurai, Yuko Sano, Tomohiko Mizuguchi, Akihiko Kandori, Izumi Kondo","doi":"10.1177/15691861221109872","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>A significant difference was observed, especially in the number of taps in the MCI group compared with that in the control group (<i>p</i> < .001; 95% CI, -12.7 to -8.8; <i>r</i> = 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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":73249,"journal":{"name":"Hong Kong journal of occupational therapy : HKJOT","volume":"35 2","pages":"137-145"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/11/1f/10.1177_15691861221109872.PMC9716461.pdf","citationCount":"0","resultStr":"{\"title\":\"Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment.\",\"authors\":\"Shota Suzumura, Aiko Osawa, Yoshikiyo Kanada, Maeda Keisuke, Eiko Takano, Junpei Sugioka, Maeda Natsumi, Taishi Nagahama, Kenta Shiramoto, Katsumi Kuno, Shiori Kizuka, Kenji Satoh, Hiroaki Sakurai, Yuko Sano, Tomohiko Mizuguchi, Akihiko Kandori, Izumi Kondo\",\"doi\":\"10.1177/15691861221109872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>A significant difference was observed, especially in the number of taps in the MCI group compared with that in the control group (<i>p</i> < .001; 95% CI, -12.7 to -8.8; <i>r</i> = 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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":73249,\"journal\":{\"name\":\"Hong Kong journal of occupational therapy : HKJOT\",\"volume\":\"35 2\",\"pages\":\"137-145\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/11/1f/10.1177_15691861221109872.PMC9716461.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hong Kong journal of occupational therapy : HKJOT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15691861221109872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/8/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hong Kong journal of occupational therapy : HKJOT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15691861221109872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/8/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment.
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.