Prefrailty and health knowledge in the Oldest-Old: A mixed-methods analysis using IoT-based health quizzes

IF 3.7 3区医学 Q1 HEALTH POLICY & SERVICES

Health Policy and Technology Pub Date : 2026-03-01 Epub Date: 2025-12-10 DOI:10.1016/j.hlpt.2025.101147

Yukari Yamada , Tadahisa Okuda , Tomoe Uchida , Tatsuyoshi Ikenoue , Jun Otsuka , Takeo Nakayama , Shingo Fukuma

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引用次数: 0

Abstract

Scientific abstract Background

Health knowledge is crucial for preventing or delaying frailty, yet the interplay between knowledge and frailty remains unclear in the oldest-old population, where frailty may influence what and how individuals learn about health.

Objective

To investigate the relationship between health knowledge and prefrailty among individuals aged 85 and older, using real-world data from IoT-based health quizzes.

Methods

Eighty-three community-dwelling adults aged ≥85 participated in tablet-based quizzes on 180 health topics, generating over 24,000 responses between November 2020 and December 2022. Missing data were addressed through multiple imputation. A convergent mixed-methods approach combined ridge regression to identify knowledge areas associated with frailty and topic modeling to extract latent health themes.

Results

Prefrail individuals exhibited greater knowledge of acute and condition-specific topics (e.g., heat stroke, blood pressure), while broader health themes (e.g., disease prevention, long-term nutrition) were similarly distributed across frailty groups. No topics were identified where non-frail individuals consistently outperformed pre-frail counterparts.

Conclusions

Frailty may shape health knowledge by prompting a goal-driven, selective retention of immediately relevant information, rather than indicating a general knowledge decline. IoT-generated, ecologically valid data, analyzed through a mixed methods lens, offers promising insights to inform needs-based health education strategies for both frail and non-frail oldest-old individuals.

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老年人的偏好和健康知识：使用基于物联网的健康测验的混合方法分析

科学摘要背景健康知识对于预防或延缓衰老至关重要，但在老年人群中，知识与衰老之间的相互作用尚不清楚，衰老可能影响个人对健康的了解和学习方式。目的利用基于物联网的健康测验的真实数据，探讨85岁及以上老年人健康知识与患病率之间的关系。方法在2020年11月至2022年12月期间，83名年龄≥85岁的社区居民参与了基于平板电脑的180个健康主题的测验，产生了超过24,000份回复。通过多次插值处理缺失数据。融合混合方法方法结合岭回归来识别与脆弱性相关的知识领域和主题建模来提取潜在的健康主题。结果：身体虚弱的个体表现出对急性和特定疾病主题（例如，中暑，血压）的更多知识，而更广泛的健康主题（例如，疾病预防，长期营养）同样分布在虚弱的群体中。没有主题确定非体弱的人始终优于体弱的同行。结论：身体虚弱可能通过促使目标驱动的、选择性地保留即时相关信息来塑造健康知识，而不是表明一般知识的下降。通过混合方法分析物联网生成的生态有效数据，为体弱多病和非体弱多病的老年人提供了基于需求的健康教育策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Health Policy and Technology Medicine-Health Policy

CiteScore

9.20

自引率

3.30%

发文量

审稿时长

88 days

期刊介绍： Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics