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  1. 110 医歯薬学総合研究科 = Graduate School of Biomedical Sciences
  2. 110 学術雑誌論文 = Articles in academic journal

Mapping cognitive diversity in older adults through community-based digital screening via mobile devices: a cross-sectional latent class analysis

http://hdl.handle.net/10069/0002003512
http://hdl.handle.net/10069/0002003512
b2715bc6-d588-499e-9473-9cfe0b5d0cd9
名前 / ファイル ライセンス アクション
FDH7_1719318.pdf FDH7_1719318.pdf (566 KB)
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2025-12-18
タイトル
タイトル Mapping cognitive diversity in older adults through community-based digital screening via mobile devices: a cross-sectional latent class analysis
言語 en
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 cognitive impairment
キーワード
言語 en
主題Scheme Other
主題 web-based screening
キーワード
言語 en
主題Scheme Other
主題 latent class analysis
キーワード
言語 en
主題Scheme Other
主題 dementia
キーワード
言語 en
主題Scheme Other
主題 subjective memory complaints
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Shimokihara, Suguru

× Shimokihara, Suguru

en Shimokihara, Suguru

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Yokoyama, Kazuki

× Yokoyama, Kazuki

en Yokoyama, Kazuki

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Makino, Keitaro

× Makino, Keitaro

en Makino, Keitaro

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Ikeda, Nozomu

× Ikeda, Nozomu

en Ikeda, Nozomu

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Matsuyama, Kiyoji

× Matsuyama, Kiyoji

en Matsuyama, Kiyoji

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Kashiwagi, Tomonori

× Kashiwagi, Tomonori

en Kashiwagi, Tomonori

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Kawanishi, Chiaki

× Kawanishi, Chiaki

en Kawanishi, Chiaki

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Ihira, Hikaru

× Ihira, Hikaru

en Ihira, Hikaru

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抄録
内容記述タイプ Abstract
内容記述 Introduction: Early detection of objective cognitive impairment is essential to delay or prevent dementia; however, traditional in-person screening often faces practical barriers, including limited accessibility and substantial personnel demands. Web-based cognitive tools are promising for scalable screening. This study aimed to identify cognitive subgroups among community-dwelling older adults using latent class analysis (LCA) based on data collected through a freely accessible web-based cognitive screening platform that enables convenient participation anytime and anywhere using older adults' own mobile devices. Methods: Between September and December 2024, adults aged ≥65 from Sapporo and Ebetsu, Japan, were recruited via newspaper insert flyers (92,290 households) and community posters. QR codes linked to the study website were optimized for various devices. After obtaining electronic consent, participants completed web-based demographic surveys and cognitive assessments of memory, attention, and processing speed. Subjective health and memory complaints were recorded. LCA identified cognitive subgroups based on performance, complaints, and sociodemographic factors. Results: Among the 528 participants (mean age = 71.2; 57% female), most reported good health (86%) and daily conversations (92%). Cognitive function was generally preserved. LCA revealed four clusters: socially isolated females with high subjective memory complaints (SMCs); cohabiting males with high SMCs; cohabiting females with high health perception and preserved cognition; and older adults with cognitive decline. Discussion: The combination of mass outreach and web-based screening is feasible and effective in identifying diverse cognitive profiles. These findings highlight the mismatch between subjective and objective cognition and the relationship between social context, supporting scalable, tailored approaches and cognitive health.
言語 en
書誌情報 en : Frontiers in Digital Health

巻 7, p. art. no. 1719318, 発行日 2025-11-25
出版者
出版者 Frontiers Media SA
言語 en
ISSN
収録物識別子タイプ EISSN
収録物識別子 2673-253X
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.3389/fdgth.2025.1719318
権利
権利情報 © 2025 Shimokihara, Yokoyama, Makino, Ikeda, Matsuyama, Kashiwagi, Kawanishi and Ihira. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
言語 en
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
引用
内容記述タイプ Other
内容記述 Frontiers in Digital Health, 7, art. no. 1719318; 2025
言語 en
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