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Yamada Y, Okuda T, Uchida T, Ikenoue T, Fukuma S. Monitoring reaction time to digital device in the very-old to detect early cognitive decline. NPJ AGING 2024; 10:40. [PMID: 39242589 PMCID: PMC11379679 DOI: 10.1038/s41514-024-00167-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 08/15/2024] [Indexed: 09/09/2024]
Abstract
Early detection of cognitive decline is essential for timely intervention and effective management of age-related impairments. We monitored repetitive reaction times to a simple task on senior-friendly tablet computers among 72 functionally independent older adults, with a mean age of 82, ranging up to 100 years, within natural settings over two years. Functional principal component analyses revealed a consistent decrease in reaction time in line with their task experience among those without subjective cognitive decline. Conversely, individuals reporting subjective cognitive decline showed no consistent trend and exhibited wide variability over time. These distinctive reaction time trajectories in very old adults suggest the potential for monitoring as a non-invasive, convenient method for early detection of cognitive impairment.
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Affiliation(s)
- Yukari Yamada
- Health Data Implementation Science, Fukuma Research Group, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tadahisa Okuda
- Health Data Implementation Science, Fukuma Research Group, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Health Data Science, Tokyo Medical University, Tokyo, Japan
| | - Tomoe Uchida
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Department of Health Informatics, School of Public Health, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tatsuyoshi Ikenoue
- Health Data Implementation Science, Fukuma Research Group, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Data Science and AI Innovation Research Promotion Center, Shiga University, Shiga, Japan
| | - Shingo Fukuma
- Health Data Implementation Science, Fukuma Research Group, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
- Department of Epidemiology Infectious Disease Control and Prevention, Hiroshima University Graduate school of Biomedical and Health Sciences, Hiroshima, Japan.
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PS-Mixer: A Polar-Vector and Strength-Vector Mixer Model for Multimodal Sentiment Analysis. Inf Process Manag 2023. [DOI: 10.1016/j.ipm.2022.103229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Esparcia C, López R. Outperformance of the pharmaceutical sector during the COVID-19 pandemic: Global time-varying screening rule development. Inf Sci (N Y) 2022; 609:1181-1203. [PMID: 35915847 PMCID: PMC9330866 DOI: 10.1016/j.ins.2022.07.146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 07/24/2022] [Accepted: 07/24/2022] [Indexed: 01/26/2023]
Abstract
This study demonstrates the major role played by the healthcare and pharmaceutical industries during the COVID-19 pandemic. For this purpose, it provides evidence of a better risk-return relationship in these sectors through a multivariate study of monthly frequency. A global and dynamic ratio is developed to summarize different investor profiles according to their attitude toward risk and to consider the dynamic and changing nature of the economy and financial markets. This global ratio synthesizes the information from different orders of Kappa indices and Farinelli-Tibiletti ratios into a single measure. Additionally, we verify that Principal Component Analysis allows summarizing the information contained in the initial variables from the first new component. Our findings confirm that a filtering asset screening rule strategy is relevant and necessary. In this respect, passive management of midterm equal-weighted pharmaceutical portfolios outperforms both the pure financial and the healthcare investment strategies used during the pandemic.
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Affiliation(s)
- Carlos Esparcia
- Universidad de Castilla-La Mancha, Plaza de la Universidad s/n, 02071 Albacete, Spain
| | - Raquel López
- Universidad de Castilla-La Mancha, Plaza de la Universidad s/n, 02071 Albacete, Spain
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Interval-valued functional clustering based on the Wasserstein distance with application to stock data. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.05.112] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Data adaptive functional outlier detection: Analysis of the Paris bike sharing system data. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.04.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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