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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05121844
Other study ID # 195165
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date November 2, 2021
Est. completion date November 1, 2027

Study information

Verified date May 2023
Source Signos Inc
Contact Study Administration
Phone 6502634502
Email clinicaltrials@signos.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Metabolic syndrome and resulting downstream health effects remains a growing health concern. In published trials, the use of continuous glucose monitoring (CGM) assists behavioral changes efforts, leading to improved adherence and results from diet and exercise changes in individuals with obesity, pre-diabetes and diabetes. Mobile health (mHealth) platforms provide satisfactory, easy-to-use tools that help participants in the pursuit of weight change goals. We hypothesize that the use of CGM data and targeted coaching and nutrition education will assist with weight optimization goals in the general (non-diabetic) population using the Signos mHealth platform, with associated health benefits.


Description:

The scope of this study is to enroll existing and new Signos users in a volunteer study that utilizes a continuous glucose monitor (CGM) and mobile health application [Signos] to optimize general wellness and body weight and composition. This is a no more than minimal risk study.


Recruitment information / eligibility

Status Recruiting
Enrollment 50000
Est. completion date November 1, 2027
Est. primary completion date November 1, 2026
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - 18 years and above - Own a smartphone and be willing to install the Signos App to use the app, receive messages or notifications, and input weight and other data. - Willingness to complete questionaries or other surveys - Able to speak and read English Exclusion Criteria: - Medical diagnosis of Type 1 Diabetes - Medical diagnosis of Type 2 Diabetes - Current medical diagnosis of an eating disorder (anorexia or bulimia) or previously struggled with disordered eating behaviors with current BMI less than 24 - Medical conditions (e.g., such as seizure disorder) requiring a specific medical diet. - Inborn errors of metabolism such as phenylketonuria (PKU), glycogen storage disease, fructose intolerance, Maple Sugar Urine Disease (MSUD). - Chronic or severe disease (e.g, chronic obstructive pulmonary disease [COPD], coronary artery disease, cerebrovascular accident [CVA], or cardiac arrhythmia) that would preclude a subject from safely participating in dietary recommendations and/or physical activity - History of Gastric bypass or other bariatric surgery - History of 10 or more soft tissue skin infections (such as cellulitis or abscesses) - Intolerable skin reaction from adhesive - Currently taking any of the following medications: Hydroxyurea, insulin, sulfonylureas, or medications prescribed specifically for the treatment of diagnosed diabetes - Vulnerable populations such as minors, prisoners, or pregnant women will not be enrolled in this study. Women who become pregnant will be excluded at that time. - Inability or unwillingness of subject to give informed consent

Study Design


Intervention

Device:
Continuous Glucose Monitor Device
Continuous glucose monitoring automatically tracks blood glucose levels, also called blood sugar, throughout the day and night. You can see your glucose level anytime at a glance. You can also review how your glucose changes over a few hours or days to see trends. Seeing glucose levels in real time can help you make more informed decisions throughout the day about how to balance your food and physical activity.

Locations

Country Name City State
United States Signos Palo Alto California

Sponsors (1)

Lead Sponsor Collaborator
Signos Inc

Country where clinical trial is conducted

United States, 

References & Publications (51)

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Ehrhardt N, Al Zaghal E. Behavior Modification in Prediabetes and Diabetes: Potential Use of Real-Time Continuous Glucose Monitoring. J Diabetes Sci Technol. 2019 Mar;13(2):271-275. doi: 10.1177/1932296818790994. Epub 2018 Aug 1. — View Citation

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Gonzalez-Rodriguez M, Pazos-Couselo M, Garcia-Lopez JM, Rodriguez-Segade S, Rodriguez-Garcia J, Tunez-Bastida C, Gude F. Postprandial glycemic response in a non-diabetic adult population: the effect of nutrients is different between men and women. Nutr Metab (Lond). 2019 Jul 17;16:46. doi: 10.1186/s12986-019-0368-1. eCollection 2019. — View Citation

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Hamley S, Kloosterman D, Duthie T, Dalla Man C, Visentin R, Mason SA, Ang T, Selathurai A, Kaur G, Morales-Scholz MG, Howlett KF, Kowalski GM, Shaw CS, Bruce CR. Mechanisms of hyperinsulinaemia in apparently healthy non-obese young adults: role of insulin secretion, clearance and action and associations with plasma amino acids. Diabetologia. 2019 Dec;62(12):2310-2324. doi: 10.1007/s00125-019-04990-y. Epub 2019 Sep 6. — View Citation

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Kim J, Lam W, Wang Q, Parikh L, Elshafie A, Sanchez-Rangel E, Schmidt C, Li F, Hwang J, Belfort-DeAguiar R. In a Free-Living Setting, Obesity Is Associated With Greater Food Intake in Response to a Similar Premeal Glucose Nadir. J Clin Endocrinol Metab. 2019 Sep 1;104(9):3911-3919. doi: 10.1210/jc.2019-00240. — View Citation

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Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001. — View Citation

* Note: There are 51 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Average fasting glucose Daily fasting glucose, averaged periodically During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
Primary Change in weight Change in number of pounds During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
Secondary Body composition User input data including percentage of body fat or other measurements of body composition During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
Secondary Time in range percentage of time spent "in range" glucose level less than 140 or as determined by other parameters During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
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