Research on creation of services to promote behavioral change by using IoT to prevent Long-term Care
Not Applicable
Recruiting
- Conditions
- Deterioration of living function, depression, social isolation,loneliness
- Registration Number
- JPRN-UMIN000042330
- Lead Sponsor
- Chiba University, National Center for Geriatrics and Gerontology
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 400
Inclusion Criteria
Not provided
Exclusion Criteria
Needed Long-Term Care , Loss of independence in activities of daily living
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method depression
- Secondary Outcome Measures
Name Time Method Self-rated health, instrumental activities of daily living, physical function (locomotive function, history of fall etc), psychological function (happiness etc), social function (including inside and outside the internet social network, social support, social participation etc), oral function, sleep condition, eating habits, cognitive function, risk assessment scales for needed long-term care, frail, status of ICT use, number of steps, frequency of going out , social isolation,loneliness etc.
Related Research Topics
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What neurobiological pathways does IoT-based behavioral intervention target to prevent functional decline in elderly populations?
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Which biomarkers predict response to IoT-driven behavioral interventions in elderly patients with social isolation and depression?
What are the potential adverse events of IoT-based behavioral monitoring in elderly populations and how are they managed?
What combination approaches with IoT and telehealth improve outcomes in elderly functional deterioration prevention?