Developing Health Care Service System
NCT04378985 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 384
Last updated 2020-05-07
Summary
"Increased health risks and diseases are believed to be caused by multilevel interactions of genetic and environmental factors (including lifestyle habits). Considering the recent advancements in genetic analysis, wearable devices, and big data analysis techniques, collecting and analyzing personal genetic information, lifelogs, and environmental data and predicting the exact health risks of individuals could be possible.
Conditions
- Metabolic Syndrome
Interventions
- DEVICE
-
Wearing a Wearable device (Fitbit inspire HR)
'Wearing a wearable device (the smart watch) for 8 weeks The smart watch to be used in this study is Fitbit Inspire HR. This is a device that has a high worldwide use rate and has active research on its accuracy. It is worn like a normal watch, and it can check heart rate, exercise level, energy consumed, and sleep quality. The values can be checked in real-time on a smartphone application.'
Sponsors & Collaborators
-
Gangnam Severance Hospital
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- PREVENTION
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 20 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-12-20
- Primary Completion
- 2021-10-30
- Completion
- 2021-12-30
Countries
- South Korea
Study Locations
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