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dc.contributor.authorYamada, Yukarien
dc.contributor.authorOkuda, Tadahisaen
dc.contributor.authorUchida, Tomoeen
dc.contributor.authorIkenoue, Tatsuyoshien
dc.contributor.authorFukuma, Shingoen
dc.contributor.alternative山田, ゆかりja
dc.contributor.alternative奥田, 忠久ja
dc.contributor.alternative内田, 智絵ja
dc.contributor.alternative池之上, 辰義ja
dc.contributor.alternative福間, 真悟ja
dc.date.accessioned2024-10-22T06:42:53Z-
dc.date.available2024-10-22T06:42:53Z-
dc.date.issued2024-09-06-
dc.identifier.urihttp://hdl.handle.net/2433/289958-
dc.description.abstractEarly 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.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.rights© The Author(s) 2024en
dc.rightsThis article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectHealth servicesen
dc.subjectSigns and symptomsen
dc.titleMonitoring reaction time to digital device in the very-old to detect early cognitive declineen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitlenpj Agingen
dc.identifier.volume10-
dc.relation.doi10.1038/s41514-024-00167-z-
dc.textversionpublisher-
dc.identifier.artnum40-
dc.identifier.pmid39242589-
dcterms.accessRightsopen access-
datacite.awardNumber19H03959-
datacite.awardNumber23K24572-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19H03959/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K24572/-
dc.identifier.eissn2731-6068-
jpcoar.funderName日本学術振興協会ja
jpcoar.funderName日本学術振興協会ja
jpcoar.awardTitle非活動高齢者を巻き込む介護予防ナッジのデザイン --行動ログと主観の評価からja
jpcoar.awardTitle行動データとヘルスデータに基づくセグメンテーション・ナッジの開発と実装ja
出現コレクション:学術雑誌掲載論文等

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