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

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.

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Publication Details

Journal
Frontiers in Digital Health
Published
2025-11-25
DOI
https://doi.org/10.3389/fdgth.2025.1719318
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Nozomu Ikeda, Suguru Shimokihara, Kazuki Yokoyama, T Kashiwagi et al.
Frontiers in Digital Health
Technology Use by Older Adults
article

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

Nozomu Ikeda, Suguru Shimokihara, Kazuki Yokoyama, T Kashiwagi, Keitaro Makino, Chiaki Kawanishi, Kiyoji Matsuyama, Hikaru Ihira
article en

Abstract

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.

Frontiers in Digital HealthVol. 7
Kagoshima University (JP), University of Nagasaki (JP), Sapporo Medical University (JP), Hokkaido Information University (JP), Sapporo University (JP), Hokkaido University (JP), Nagasaki University (JP)
Ministry of Health, Labour and Welfare, Japan Society for the Promotion of Science
Openalex Percentile: Top 41%
Technology Use by Older Adults
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Mapping cognitive diversity in older adults through community-based digital screening via mobile devices: a cross-sectional latent class analysis — Nozomu Ikeda, Suguru Shimokihara, et al. · Frontiers in Digital Health (2025) | TGRS Research Map | TGRS