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| Name | Class |
|---|---|
| Google LLC. | INDUSTRY |
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The goal of this prospective, single site, interventional randomized control trial is to treat age related health conditions in adults older than 65 years and functional independence. The main question of the study is to answer the effectiveness of notification on activity, sleep, and nutrition based on wearable device Fitbit recorded data for the improvement of health conditions including intellectual property and physical function, compared to usual care. Participants in the intervention arm will be given a Fitbit Charge 5 device and asked to wear this for the duration of the study, including during sleep. The study intervention will run for 6 months. Notifications will be issued using a monitoring software in Japanese, and issued automatically to participants. Participants in the control arm will be given a routine care and health-related information. Researchers will compare cognitive performance, muscle mass and physical activity between the two groups to see if the notification based on Fitbit data would promote the health conditions of older adults.
This is a prospective, single site, interventional randomized control trial. The primary purpose is to treat age related health conditions. The current study is nested within an established cohort based in Kashiwa City in Japan, which consists of older adults living independently. The inclusion criteria of this study is age equal to or older than 65 years and functional independence (i.e., not requiring nursing care provided by long-term care insurance). The investigators plan to conduct a randomized controlled trial to test the effectiveness of notification based on Fitbit recorded data, used to prompt health and wellness actions on a variety of health outcomes, compared to usual care. On enrollment, baseline demographic and health information as well as baseline measurements for quality of life, and physical and mental health, will be collected. Subsequently, the study intervention will run for 6 months. Participants in the intervention arm will be given a Fitbit Charge 5 device and asked to wear this for the duration of the study, including during sleep. Participants will receive sessions to teach them how to use the Charge 5 device and access the information produced. Those who meet the above criteria for intervention will receive automatically generated notifications that include lifestyle recommendations. Notifications will be issued using a monitoring software in Japanese, and issued automatically as text alerts to participants. Participants will receive encouraging notifications to promote adherence and health condition. Participants in the control arm will be given a routine care and health-related information. Participants who fail to exhibit a behavior change in the week following the alert, or who are not engaging with the study (e.g., by not wearing the Fitbit device) will be followed up by phone by a member of the community research group. Researchers will compare cognitive performance and physical activity between the two groups to see if the notification based on Fitbit data would promote the health conditions of older adults. Results of this trial will be valuable for informing further implementation of wearable devices and related digital devices in elderly populations in Japan and other countries in the region.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention | Active Comparator | Notification on Nutrition, Sleep, and Physical Activity based on fitbit-based data |
|
| Control | Sham Comparator | Regular Care |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Fitbit wearing, with notification for sleep, activity and nutrition based fitbit data | Device | Notification on Nutrition, Sleep, and Physical Activity based on fitbit-based data, and Nutritional supplementation and Promotion of Exercise |
| Measure | Description | Time Frame |
|---|---|---|
| Executive function | TMT | 0 - 6 months |
| General Cognition | MoCA | 0 - 6 months |
| Muscle mass | Skeletal Muscle mass Index | 0 - 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Amount of exercise | Step counts measured by fitbit | 0 - 6 months |
| Amount of sleep | Total sleep time measured by fitbit | 0 - 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Frail/Sarcopenia | Frailty index | 0 - 6 months |
| Malnutrition | Protein intake | 0 - 6 months |
Inclusion Criteria:
Over 65 years of age.
Living in Japan.
Living independently with or without carer support.
Able and willing to wear a Fitbit for the duration of the study (≥20 hours a day, including during sleep).
Individuals that are able and willing to receive and act on interventions.
Has capacity to consent to inclusion in the study.
Smartphone access to allow Fitbit installation and setup.
Has one or more of the following comorbidities:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Tatsuhiro Hisatsune, PhD | Associate Professor | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Graduate School of Frontier Sciences, The University of Tokyo | Kashiwa | Chiba | 2778562 | Japan |
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| Routine care | Device | Regular Care on sleep, activity and nutrition |
|
| ID | Term |
|---|---|
| D000073496 | Frailty |
| D055948 | Sarcopenia |
| ID | Term |
|---|---|
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D009133 | Muscular Atrophy |
| D020879 | Neuromuscular Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D001284 | Atrophy |
| D020763 | Pathological Conditions, Anatomical |
| D012816 | Signs and Symptoms |
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