Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
1022 participants
OBSERVATIONAL
2017-11-01
2021-10-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Type 2 Diabetes
Individuals that have been previously diagnosed with Type 2 Diabetes. Those with Fasting Blood Glucose levels 126 mg/dL in two separate tests and/or HbA1C values greater than 6.5%. Individuals may take Metformin, SGLT2 inhibitors, of GLP-1 therapeutics. Not including those using Insulin therapeutics.
January Mobile Application (Sugar AI)
Sugar AI is a mobile health and fitness app the allows participants to log and record health-related data through Continuous Glucose Monitors, Heart Rate Monitors, and manual food, water, and activity logging. Using machine learning data science techniques, the Sugar AI App integrates the data collected to personalize lifestyle recommendations and help individuals optimize their health and wellness.
Pre-Diabetes
Individuals that have been previously diagnosed with Pre-Diabetes. This group may include individuals with pre-diabetes that may be unaware of their condition. HbA1C values between 5.7% and 6.4%.
January Mobile Application (Sugar AI)
Sugar AI is a mobile health and fitness app the allows participants to log and record health-related data through Continuous Glucose Monitors, Heart Rate Monitors, and manual food, water, and activity logging. Using machine learning data science techniques, the Sugar AI App integrates the data collected to personalize lifestyle recommendations and help individuals optimize their health and wellness.
Healthy
Individuals that have not been previously diagnosed with Metabolic Syndromes including Type 2 Diabetes, obesity, or increased levels of blood sugar. HbA1C values below 5.7%.
January Mobile Application (Sugar AI)
Sugar AI is a mobile health and fitness app the allows participants to log and record health-related data through Continuous Glucose Monitors, Heart Rate Monitors, and manual food, water, and activity logging. Using machine learning data science techniques, the Sugar AI App integrates the data collected to personalize lifestyle recommendations and help individuals optimize their health and wellness.
Interventions
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January Mobile Application (Sugar AI)
Sugar AI is a mobile health and fitness app the allows participants to log and record health-related data through Continuous Glucose Monitors, Heart Rate Monitors, and manual food, water, and activity logging. Using machine learning data science techniques, the Sugar AI App integrates the data collected to personalize lifestyle recommendations and help individuals optimize their health and wellness.
Eligibility Criteria
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Inclusion Criteria
* Have access to smart-phone with NFC reader
* Be willing to wear a continuous glucose monitor (CGM) and a smartwatch 24 hours/day for 10-14 consecutive days at a time
* Be willing to limit swimming to a maximum of 30 minutes per session while wearing CGM
* Available for two in-person or remote study visits (study orientation and close-out)
* Willing to provide weight at baseline and comprehensive logging of their activity, food and water consumption for 10-14 days
* Covered by health insurance plan
* Able and willing to give informed consent for study participation
Exclusion Criteria
* Allergy to skin adhesives used in the trial
* Women who are pregnant, lactating, have given birth in the past 6 months, or are planning to get pregnant in the next 6 months
* Individuals deemed unfit for participation by study physician
* Allergy to nuts
* Individuals who are taking any of the following medications:
* Insulin
* Progesterone
* Atypical antipsychotics
* Oral or injectable antidiabetic medications EXCEPT for metformin or Glucagon-like peptide-1 (GLP-1) agonists or Selective sodium-glucose transporter-2 (SGLT-2) inhibitors
* Oral corticosteroid use
* Triphasic oral contraceptives
* Blood thinners
18 Years
75 Years
ALL
Yes
Sponsors
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January, Inc.
INDUSTRY
Responsible Party
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Locations
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January, Inc.
Menlo Park, California, United States
Countries
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Other Identifiers
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1280111
Identifier Type: -
Identifier Source: org_study_id