Heterogeneous Activity Profiles in Older Adults: A Latent Class Analysis and Validation With Health Outcomes

Objective The inconsistent effectiveness of frailty prevention may stem from a research focus on the <i>quantity</i> of physical activity while overlooking its qualitative <i>patterns</i>. This study aimed to identify distinct activity profiles among community-dwelling older adults in Japan and to validate their association with key health indicators. Methodology A cross-sectional web-based survey was conducted with 771 community-dwelling older adults in Japan. Latent Class Analysis (LCA) was applied to data from a 46-item activity checklist, developed by the Japanese Association of Occupational Therapists, to extract distinct activity profiles. The validity of these identified profiles was then examined by analyzing their associations with frailty (using the Kihon Checklist), fear of falling, and various sociodemographic variables. Results The analysis identified a four-class model as the optimal solution, revealing four heterogeneous profiles: (1) Inactive and Role-Limited, with the highest frailty risk; (2) Community-Focused and IADL (instrumental activities of daily living)-Imbalanced, predominantly males with low participation in domestic chores; (3) IADL-Proficient and Hobby-Limited, mainly females with limited social engagement; and (4) Lifelong Active and Socially Engaged, with the best health status. These profiles were strongly associated with frailty, fear of falling, age, gender, and socioeconomic status. Conclusions The lifestyles of older adults are not monolithic but can be classified into qualitatively distinct patterns that are closely linked to health status. Notably, even among groups with similar total activity levels, differences in activity content reflecting gender roles suggest distinct health risks. Effective frailty prevention requires an approach that focuses on the qualitative <i>patterns</i> of real-life circumstances, not just the <i>quantity</i> of activity.

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Journal
Cureus
Published
2025-12-18
DOI
https://doi.org/10.7759/cureus.99585
Citations
1
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
1.22
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article

Heterogeneous Activity Profiles in Older Adults: A Latent Class Analysis and Validation With Health Outcomes

N Honda, Tatsuya Yamamoto, Yuri FUJII, Keita Nakahara et al.
1 citations
Cureus
Frailty in Older Adults
1.22
article

Heterogeneous Activity Profiles in Older Adults: A Latent Class Analysis and Validation With Health Outcomes

N Honda, Tatsuya Yamamoto, Yuri FUJII, Keita Nakahara, Kohei Kusuda, Jumpei Oba
article en
1 citations

Abstract

Objective The inconsistent effectiveness of frailty prevention may stem from a research focus on the <i>quantity</i> of physical activity while overlooking its qualitative <i>patterns</i>. This study aimed to identify distinct activity profiles among community-dwelling older adults in Japan and to validate their association with key health indicators. Methodology A cross-sectional web-based survey was conducted with 771 community-dwelling older adults in Japan. Latent Class Analysis (LCA) was applied to data from a 46-item activity checklist, developed by the Japanese Association of Occupational Therapists, to extract distinct activity profiles. The validity of these identified profiles was then examined by analyzing their associations with frailty (using the Kihon Checklist), fear of falling, and various sociodemographic variables. Results The analysis identified a four-class model as the optimal solution, revealing four heterogeneous profiles: (1) Inactive and Role-Limited, with the highest frailty risk; (2) Community-Focused and IADL (instrumental activities of daily living)-Imbalanced, predominantly males with low participation in domestic chores; (3) IADL-Proficient and Hobby-Limited, mainly females with limited social engagement; and (4) Lifelong Active and Socially Engaged, with the best health status. These profiles were strongly associated with frailty, fear of falling, age, gender, and socioeconomic status. Conclusions The lifestyles of older adults are not monolithic but can be classified into qualitatively distinct patterns that are closely linked to health status. Notably, even among groups with similar total activity levels, differences in activity content reflecting gender roles suggest distinct health risks. Effective frailty prevention requires an approach that focuses on the qualitative <i>patterns</i> of real-life circumstances, not just the <i>quantity</i> of activity.

CureusVol. 17(12)
Kansai University of Welfare Sciences (JP), Kobe Gakuin University (JP)
Openalex Percentile: Top 16%
Frailty in Older Adults
1.22
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