Using Signos mHealth Platform in Adults for Weight Management
SWEET
A Randomized Controlled Trial Evaluating the Safety and Effectiveness of the Intelligently-Driven Signos System for Personalized Weight Management in Overweight and Obese Adults
1 other identifier
interventional
380
1 country
5
Brief 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. Mobile health (mHealth) platforms provide satisfactory, easy-to-use tools that help participants in the pursuit of weight change goals. The investigators 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2024
Typical duration for not_applicable
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 2, 2024
CompletedFirst Submitted
Initial submission to the registry
January 9, 2024
CompletedFirst Posted
Study publicly available on registry
January 19, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2026
CompletedOctober 8, 2024
October 1, 2024
12 months
January 9, 2024
October 4, 2024
Conditions
Outcome Measures
Primary Outcomes (2)
Responder Rate
Investigators will measure how many participants successfully reached their weight management goals by the end of 6 months. This 'Responder Rate' tells us the percentage of people in our study who effectively managed their weight using the methods we provided, whether it's through the Signos System or standard lifestyle education.
6 Months
Average Total Body Weight Loss (TBWL%)
Investigators will measure how much weight, on average, participants have lost after 6 months in the study. This will be calculated as a percentage of their initial weight. This measure helps us understand the effectiveness of the Signos System in helping participants reduce their body weight over a 6-month period.
6 Months
Study Arms (2)
Signos System
EXPERIMENTALFor all consented participants, the Signos app will use CGM data to provide recommendations customized to users for promoting general health and wellness.
Standard Lifestyle Education
ACTIVE COMPARATORThe "Active Comparator: Standard Lifestyle Education" arm in the clinical trial refers to a control group that receives conventional lifestyle modification advice instead of the experimental Signos System.
Interventions
The intervention involves the use of the Signos System, a combination of a proprietary software application with a continuous glucose monitor (CGM), to manage weight in overweight and obese adults.
In the "Standard Lifestyle Education" arm, participants receive conventional advice on diet and exercise, focusing on general healthy lifestyle habits to manage weight.
Eligibility Criteria
You may qualify if:
- To join our study, participant need to:
- Be at least 22 years old.
- Be overweight or obese, which we define as having a Body Mass Index (BMI) between 25 and 40.
- HbA1c test result should be below 6.5% at the start of the study.
- Have and know how to use a smartphone that's compatible with the Signos app.
- Be able to understand, speak, and read English well enough to participate fully in the study.
You may not qualify if:
- Participant can't join our study if participant has:
- Have Type 1 or Type 2 diabetes.
- Are already using a device to monitor glucose level.
- Have severe allergies to the sticky part of glucose monitors.
- Suffer from an eating disorder like anorexia or bulimia.
- Are currently taking certain medications for diabetes or weight loss.
- Have had or are planning to have weight loss surgery.
- Have major health issues like severe kidney disease, untreated thyroid problems, or skin conditions where the glucose monitor would be placed.
- Have been part of another clinical trial recently.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Signos Inclead
- Lindus Health, Inc.collaborator
Study Sites (5)
Helios Clinical Research (Phoenix)
Phoenix, Arizona, 85028, United States
Diablo Clinical Research
Walnut Creek, California, 94598, United States
Segal Trials
North Miami, Florida, 33161, United States
Helios Clinical Research
Houston, Texas, 77008, United States
Seattle Clinical Research
Seattle, Washington, 98105, United States
Related Publications (14)
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PMID: 30040822BACKGROUNDAdams OP. The impact of brief high-intensity exercise on blood glucose levels. Diabetes Metab Syndr Obes. 2013;6:113-22. doi: 10.2147/DMSO.S29222. Epub 2013 Feb 27.
PMID: 23467903BACKGROUNDZeevi 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.
PMID: 26590418BACKGROUNDBaron AD. Impaired glucose tolerance as a disease. Am J Cardiol. 2001 Sep 20;88(6A):16H-9H. doi: 10.1016/s0002-9149(01)01832-x.
PMID: 11576521BACKGROUNDBrown A, McArdle P, Taplin J, Unwin D, Unwin J, Deakin T, Wheatley S, Murdoch C, Malhotra A, Mellor D. Dietary strategies for remission of type 2 diabetes: A narrative review. J Hum Nutr Diet. 2022 Feb;35(1):165-178. doi: 10.1111/jhn.12938. Epub 2021 Sep 1.
PMID: 34323335BACKGROUNDChin SO, Keum C, Woo J, Park J, Choi HJ, Woo JT, Rhee SY. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Sci Rep. 2016 Nov 7;6:34563. doi: 10.1038/srep34563.
PMID: 27819345BACKGROUNDEbbeling CB, Knapp A, Johnson A, Wong JMW, Greco KF, Ma C, Mora S, Ludwig DS. Effects of a low-carbohydrate diet on insulin-resistant dyslipoproteinemia-a randomized controlled feeding trial. Am J Clin Nutr. 2022 Jan 11;115(1):154-162. doi: 10.1093/ajcn/nqab287. Erratum In: Am J Clin Nutr. 2022 Jan 11;115(1):310. doi: 10.1093/ajcn/nqab372.
PMID: 34582545BACKGROUNDEhrhardt 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.
PMID: 30066574BACKGROUNDThe Lancet Diabetes Endocrinology. Metabolic health: a priority for the post-pandemic era. Lancet Diabetes Endocrinol. 2021 Apr;9(4):189. doi: 10.1016/S2213-8587(21)00058-9. Epub 2021 Mar 4. No abstract available.
PMID: 33676599BACKGROUNDGalderisi A, Giannini C, Weiss R, Kim G, Shabanova V, Santoro N, Pierpont B, Savoye M, Caprio S. Trajectories of changes in glucose tolerance in a multiethnic cohort of obese youths: an observational prospective analysis. Lancet Child Adolesc Health. 2018 Oct;2(10):726-735. doi: 10.1016/S2352-4642(18)30235-9. Epub 2018 Aug 24.
PMID: 30236381BACKGROUNDGonzalez-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.
PMID: 31346341BACKGROUNDGuyenet SJ, Schwartz MW. Clinical review: Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity. J Clin Endocrinol Metab. 2012 Mar;97(3):745-55. doi: 10.1210/jc.2011-2525. Epub 2012 Jan 11.
PMID: 22238401BACKGROUNDHamley 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.
PMID: 31489455BACKGROUNDHyde PN, Sapper TN, Crabtree CD, LaFountain RA, Bowling ML, Buga A, Fell B, McSwiney FT, Dickerson RM, Miller VJ, Scandling D, Simonetti OP, Phinney SD, Kraemer WJ, King SA, Krauss RM, Volek JS. Dietary carbohydrate restriction improves metabolic syndrome independent of weight loss. JCI Insight. 2019 Jun 20;4(12):e128308. doi: 10.1172/jci.insight.128308. eCollection 2019 Jun 20.
PMID: 31217353BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Stephanie Kim, MD
Signos Inc
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Trial Investigator, Signos Inc
Study Record Dates
First Submitted
January 9, 2024
First Posted
January 19, 2024
Study Start
January 2, 2024
Primary Completion
December 31, 2024
Study Completion
April 30, 2026
Last Updated
October 8, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share