e.g. mhealth
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Skip search results from other journals and go to results- 54 JMIR Aging
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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.
JMIR Aging 2025;8:e67632
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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
JMIR Hum Factors 2025;12:e63607
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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
Interact J Med Res 2025;14:e65075
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Reference 8: Smartkuber: A Serious Game for Cognitive Health Screening of Elderly PlayerselderlyCognitive Training for the Elderly
JMIR Serious Games 2025;13:e54797
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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
JMIR Hum Factors 2025;12:e59458
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elderlyMedical Devices for the Elderly Mental Health Issues in Elderly Patients and Geriatric Psychiatry
JMIR Aging 2025;8:e65292
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The research strategy used in Pub Med included the following: (((((Elderly) OR (“Older population”)) OR (“Older people”)) OR (“Geriatrics”[Mesh])) OR (“Aged”[Mesh])) OR (“Aging”[Mesh])(((“Telemedicine”[Mesh]) OR (“Mobile Applications”[Mesh])) OR (“health informatics”)) OR (“healthcare technology”)((((implementation) OR (Barriers)) OR (Acceptance)) OR (Adherence)) OR (Restriction)((((“Dementia”[Mesh]) OR (“Cognition Disorders”[Mesh])) OR (“mental deterioration*”)) OR (“cognitive impairment*”)) OR (“mild cognitive
JMIR Res Protoc 2025;14:e56584
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Digital Interventions for Older People Experiencing Homelessness: Systematic Scoping Review
Reference 47: A systematic review of the benefits of home telecare for frail elderly people and thoseelderly
J Med Internet Res 2025;27:e63898
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