Interactive Journal of Medical Research

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Assessing Social Interaction and Loneliness and Their Association With Frailty Among Older Adults With Subjective Cognitive Decline or Mild Cognitive Impairment: Ecological Momentary Assessment Approach

Reference 9: Burden of frailty in the elderly population: perspectives for a public health challenge Reference 12: Independent association between subjective cognitive decline and frailty in the elderly Reference 17: Cognitive frailty, a novel target for the prevention of elderly dependency Instrumental activities of daily living as a potential marker of frailty: a study of 7364 community-dwelling elderly Reference 43: P2-292: mild behavioral impairment (MBI) in MCI, SCD, and normal elderly: a pilot studyelderlyMental Health Issues in Elderly Patients and Geriatric Psychiatry

Bada Kang, Dahye Hong, Seolah Yoon, Chaeeun Kang, Jennifer Ivy Kim

JMIR Mhealth Uhealth 2025;13:e64853

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Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Reference 32: Longitudinal analysis of renal function changes in elderly populations: health status evaluationelderly

Chang-Uk Jeong, Jacob S Leiby, Dokyoon Kim, Eun Kyung Choe

JMIR Aging 2025;8:e64473

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Authors’ Reply: Balancing Challenges and Opportunities When Evaluating Remote Rehabilitation for Sarcopenia in Older Adults

elderly

Lu Zhang, Ying Ge, Wowa Zhao, Xuan Shu, Lin Kang, Qiumei Wang, Ying Liu

J Med Internet Res 2025;27:e73174

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Balancing Challenges and Opportunities When Evaluating Remote Rehabilitation for Sarcopenia in Older Adults

elderly

Hao Zhang, Xiangjie Liu

J Med Internet Res 2025;27:e71845

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Network Analysis of Key Instrumental Activities of Daily Living and Cognitive Domains for Targeted Intervention in US Older Adults Without Dementia: Cross-Sectional Study

The findings are expected to reveal network dynamics, pinpoint key intervention targets for effectively enhancing holistic IADL and cognitive functions in the elderly, and indicate the necessity of sex-specific interventions. This cross-sectional analysis used waves 11 and 12 (2021‐2022) of the National Health and Aging Trends Study (NHATS), a nationally representative longitudinal database of Medicare beneficiaries aged 65 years and older.

Jiaying Li, Rendong He, Erh-Chi Hsu, Junxin Li

JMIR Aging 2025;8:e67632

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Factors Associated With the Intention to Use mHealth Among Thai Middle-Aged Adults and Older Adults: Cross-Sectional Study

Reference 8: Understanding factors influencing the adoption of mHealth by the elderly: an extension of Reference 14: Gerontechnology acceptance by elderly Hong Kong Chinese: a Senior Technology Acceptance Reference 16: Barriers to conducting deprescribing in the elderly population amid the COVID-19 pandemic Reference 27: The effect of smartphones on the self-rated health levels of the elderlyelderly

Nida Buawangpong, Wachiranun Sirikul, Penprapa Siviroj

JMIR Hum Factors 2025;12:e63607

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Associations Between Sleep Duration and Activity of Daily Living Disability Among Older Adults in China: Cross-Sectional Study

Reference 5: Sleep duration and sleep quality are associated with physical activity in elderly people Reference 16: Daily sleep duration and the risk of incident disability among younger elderly Japanese Reference 29: Longitudinal association between sleep duration and depressive symptoms in Chinese elderly and age-specific associations between sleep duration and prevalent hypertension in middle-aged and elderly Reference 40: The activity of daily living (ADL) subgroups and health impairment among Chinese elderlyelderly

Huimin Fan, Weijie Yu, Hongguo Rong, Xiaokun Geng

Interact J Med Res 2025;14:e65075

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Machine Learning Analysis of Engagement Behaviors in Older Adults With Dementia Playing Mobile Games: Exploratory Study

Reference 8: Smartkuber: A Serious Game for Cognitive Health Screening of Elderly PlayerselderlyCognitive Training for the Elderly

Melika Torabgar, Mathieu Figeys, Shaniff Esmail, Eleni Stroulia, Adriana M Ríos Rincón

JMIR Serious Games 2025;13:e54797

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On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

Reference 15: AI based elderly fall prediction system using wearable sensors: a smart home-care technology Reference 22: HalleyAssist: a personalised internet of things technology to assist the elderly in daily Reference 28: Towards a monitoring smart home for the elderly: one experience in retrofitting a sensor Reference 40: Fall-sense: an enhanced sensor system to predict and detect elderly falls using iomtelderly

Chris Lochhead, Robert B Fisher

JMIR Hum Factors 2025;12:e59458

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