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| Name | Class |
|---|---|
| Lindus Health, Inc. | UNKNOWN |
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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.
The scope of this study is to enroll participants into a study that utilizes a continuous glucose monitor (CGM) and mobile health application [Signos] to optimize general wellness and body weight and composition. The Signos users will be compared against a control arm.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Signos System | Experimental | For 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 Comparator | The "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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Signos System | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
To join our study, participant need to:
Exclusion Criteria:
Participant can't join our study if participant has:
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| Name | Affiliation | Role |
|---|---|---|
| Stephanie Kim, MD | Signos Inc | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Helios Clinical Research (Phoenix) | Phoenix | Arizona | 85028 | United States | ||
| Diablo Clinical Research |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30040822 | Background | Hall H, Perelman D, Breschi A, Limcaoco P, Kellogg R, McLaughlin T, Snyder M. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul. | |
| 23467903 | Background | Adams 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. |
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| ID | Term |
|---|---|
| D050177 | Overweight |
| D009765 | Obesity |
| D024821 | Metabolic Syndrome |
| D015431 | Weight Loss |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
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In an open-label randomization model, participants and researchers both know the treatment each participant is receiving. This model involves randomly assigning participants to different treatment groups, ensuring unbiased distribution across interventions, but without concealing the nature of the treatment from either the participants or the study team.
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| Standard Lifestyle Education | Other | In the "Standard Lifestyle Education" arm, participants receive conventional advice on diet and exercise, focusing on general healthy lifestyle habits to manage weight. |
|
| 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 |
| 26590418 | Background | 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. |
| 11576521 | Background | Baron 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. |
| 34323335 | Background | Brown 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. |
| 27819345 | Background | Chin 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. |
| 34582545 | Background | Ebbeling 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. |
| 30066574 | Background | 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. |
| 33676599 | Background | The 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. |
| 30236381 | Background | Galderisi 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. |
| 31346341 | Background | 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. |
| 22238401 | Background | Guyenet 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. |
| 31489455 | Background | 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. |
| 31217353 | Background | Hyde 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. |
| D012816 |
| Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D007333 | Insulin Resistance |
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D001836 | Body Weight Changes |