Developing Health Care Service System

NCT04378985 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 384

Last updated 2020-05-07

No results posted yet for this study

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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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04378985 on ClinicalTrials.gov