Frailty
Conditions
Interventions
None listed
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: (1) Subjects residing in the region who are publicly recruited between the date of approval by the head of the research institution and March 31, 2027 (2) Subjects who can obtain written consent from the individual to participate in the research of their own free will (3) Subjects who are 65 years of age or older at the time consent is obtained
Exclusion criteria
Exclusion criteria: (1) Those with severe motor dysfunction, social frailty and difficulty in performing physical and mental function assessment (2) Those with strong psychiatric symptoms and significant cognitive dysfunction
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Social Self-Efficacy Scale for Socially Frail Elderly | — |
Secondary
| Measure | Time frame |
|---|---|
| (1) Basic information Gender, age, medical history, comorbidities, medications, Body Mass Index (BMI), years of education, physical frailty measurements (weight loss, muscle weakness, fatigue, walking speed, and physical inactivity) using the Japanese version of the Cardiovascular Health Study criteria (J-CHS criteria), cognitive function measurements using the National Center for Geriatrics and Gerontology functional assessment tool (NCGG-FAT), and the Geriatric depression scale ), cognitive function measures using the National Center for Geriatrics and Gerontology functional assessment tool (NCGG-FAT), the Geriatric depression scale-15 (GDS-15), the Geriatric depression scale (GDS-15), the National Center for Geriatrics and Gerontology functional assessment tool (NCGG-FAT). (2) Rest-Activity (1) Cognitive function (2) Social frailty (3) Social depression (4) Social frailty (5) Social depression (6) Social depression (7) Social frailty (8) Social depression (9) Social frailty (10) Social depression (11) Social depression (12) Social depression (13) Social frailty (14) (2) Measurement of Rest-Activity Rhythm (RAR) index A wearable device, Motionwatch8 (CamNtech, UK), will be used to measure the number of steps taken in daily life and the amount of sleep at night. Each subject wears the wearable device on the non-dominant hand for 7 consecutive days, and Motionwatch8 is worn on the wrist of the non-dominant hand for 7 consecutive days. Body movements are detected by the device's built-in 3-axis acceleration sensor, and Activity Count (AC) is recorded for each minute of physical activity. The recorded data are then output using analysis software Motionware (CamNtech, UK) and Actiware (Philips, USA), and converted into RAR indices. | — |
Countries
Japan
Contacts
Akita university Health Sciences