- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04099550
Effect of Real-time Continuous Glucose Monitoring System in Overweight or Obese Adults With Prediabetes
In Korea, 5 million adults aged 30 years or older have diabetes. The development and expansion of Korea's economy and society, has led to dramatic chances in people's lifestyle and diet habits, and an increase in life expectancy. However, changes in lifestyle and diet habits related to the improvements of socioeconomic status may contribute to an increased diabetes burden in Korea. Therefore, it is important to prevent diabetes.
The purpose of this study was to evaluate the effects of real time-continuous glucose measurement (RT-CGM) system compared to only lifestyle modification group on blood glucose, lipid profile and diabetes prevention in prediabetic adults with overweight or obesity.
Study Overview
Status
Intervention / Treatment
Detailed Description
Optimising patient adherence to prescribed lifestyle interventions to achieve improved blood glucose control remains a challenge. Combined use of real-time continuous glucose monitoring (RT-CGM) systems may promote improved glycaemic control.
Thirty adult with overweight or obesity and pre-diabetes are randomised to using either RT-CGM or self monitoring of blood glucose (SMBG) for 1 week with lifestyle intervention.
After 3 month, outcomes were glycemic control (HbA1c, fasting glucose), weight, and lipid profile assessed pre- and post-intervention.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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Busan, Korea, Republic of, 49241
- Recruiting
- Jeong Mi Kim
-
Contact:
- Jeong M Kim, MD
- Phone Number: 82-10-9431-3733
- Email: marse007@hanmail.net
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- ≥ BMI 23 kg/m2
- impaired fasting glucose (fasting glucose 100 to 125 mg/dL) or impaired glucose tolerance (2-h plasma glucose during oral glucose tolerance test (OGTT) 140 - 199 mg/dl) or HbA1c 5.7% to 6.4%
Exclusion Criteria:
- type 1 diabetes or type 2 diabetes or undergoing treatment for diabetes
- clinical history including malignancy
- fast history of cardiovascular disease (e.g. myocardial infarction, stroke), surgery, and trauma which may affect blood glucose within last 6 months
- taking medication (e.g. glucocorticoid, antipsychotics, anticholinergic drug etc.) which affect blood glucose
- acute infection within last 1 month
- pregnancy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: SMBG with lifestyle intervention
All participants receive a 12-week lifestyle intervention (diet and exercise).
The control group was monitored self-monitoring blood glucose (SMBG) at least 2 times a day for initial 1-week.
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The group was monitored self-monitoring blood glucose (SMBG) at least 2 times a day for initial 1-week.
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Experimental: RT-CGM with lifestyle intervention
All participants receive a 12-week lifestyle intervention (diet and exercise).
The intervention group was monitored initial 1-week with a RT-CGM.
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The group was monitored blood glucose initial 1-week with a RT-CGM.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
HbA1C change
Time Frame: Outcomes were assessed at baseline (week 0) and end of intervention (week 12)
|
All participants receive lifestyle intervention at week 0, week 4, and week 8. The intervention group was monitored initial 1 weeks with a RT-CGM and th control group continued self-monitoring blood glucose (SMBG) at least 2 times a day for 1 week. HbA1c at baseline (week 0) and end of intervention (week 12). |
Outcomes were assessed at baseline (week 0) and end of intervention (week 12)
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Weight (Kg) change
Time Frame: baseline (week 0) and end of intervention (week 12)
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weight change (Kg) at baseline (week 0) and end of intervention (week 12)
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baseline (week 0) and end of intervention (week 12)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
lipid profile
Time Frame: baseline (week 0) and end of intervention (week 12)
|
both groups were assessed fasting lipid profile (total cholesterol, triglyceride and HDL-cholesterol) at baseline (week 0) and end of intervention (week 12)
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baseline (week 0) and end of intervention (week 12)
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Collaborators and Investigators
Investigators
- Principal Investigator: JEONG MI KIM, M.D, Pusan National University Hospital
Publications and helpful links
General Publications
- Boland E, Monsod T, Delucia M, Brandt CA, Fernando S, Tamborlane WV. Limitations of conventional methods of self-monitoring of blood glucose: lessons learned from 3 days of continuous glucose sensing in pediatric patients with type 1 diabetes. Diabetes Care. 2001 Nov;24(11):1858-62. doi: 10.2337/diacare.24.11.1858.
- Lindstrom J, Peltonen M, Eriksson JG, Ilanne-Parikka P, Aunola S, Keinanen-Kiukaanniemi S, Uusitupa M, Tuomilehto J; Finnish Diabetes Prevention Study (DPS). Improved lifestyle and decreased diabetes risk over 13 years: long-term follow-up of the randomised Finnish Diabetes Prevention Study (DPS). Diabetologia. 2013 Feb;56(2):284-93. doi: 10.1007/s00125-012-2752-5. Epub 2012 Oct 24.
- Gehlaut RR, Dogbey GY, Schwartz FL, Marling CR, Shubrook JH. Hypoglycemia in Type 2 Diabetes--More Common Than You Think: A Continuous Glucose Monitoring Study. J Diabetes Sci Technol. 2015 Apr 27;9(5):999-1005. doi: 10.1177/1932296815581052.
- Murphy HR, Rayman G, Lewis K, Kelly S, Johal B, Duffield K, Fowler D, Campbell PJ, Temple RC. Effectiveness of continuous glucose monitoring in pregnant women with diabetes: randomised clinical trial. BMJ. 2008 Sep 25;337:a1680. doi: 10.1136/bmj.a1680.
- Tanenberg R, Bode B, Lane W, Levetan C, Mestman J, Harmel AP, Tobian J, Gross T, Mastrototaro J. Use of the Continuous Glucose Monitoring System to guide therapy in patients with insulin-treated diabetes: a randomized controlled trial. Mayo Clin Proc. 2004 Dec;79(12):1521-6. doi: 10.4065/79.12.1521.
- Chase HP, Kim LM, Owen SL, MacKenzie TA, Klingensmith GJ, Murtfeldt R, Garg SK. Continuous subcutaneous glucose monitoring in children with type 1 diabetes. Pediatrics. 2001 Feb;107(2):222-6. doi: 10.1542/peds.107.2.222.
- Salkind SJ, Huizenga R, Fonda SJ, Walker MS, Vigersky RA. Glycemic variability in nondiabetic morbidly obese persons: results of an observational study and review of the literature. J Diabetes Sci Technol. 2014 Sep;8(5):1042-7. doi: 10.1177/1932296814537039. Epub 2014 May 29.
- Dagogo-Jack S, Egbuonu N, Edeoga C. Principles and practice of nonpharmacological interventions to reduce cardiometabolic risk. Med Princ Pract. 2010;19(3):167-75. doi: 10.1159/000285280. Epub 2010 Mar 29.
- Hedayati SS, Elsayed EF, Reilly RF. Non-pharmacological aspects of blood pressure management: what are the data? Kidney Int. 2011 May;79(10):1061-70. doi: 10.1038/ki.2011.46. Epub 2011 Mar 9.
- Marquez-Celedonio FG, Texon-Fernandez O, Chavez-Negrete A, Hernandez-Lopez S, Marin-Rendon S, Berlin-Lascurain S. [Clinical effect of lifestyle modification on cardiovascular risk in prehypertensives: PREHIPER I study]. Rev Esp Cardiol. 2009 Jan;62(1):86-90. Spanish.
- Yoon U, Kwok LL, Magkidis A. Efficacy of lifestyle interventions in reducing diabetes incidence in patients with impaired glucose tolerance: a systematic review of randomized controlled trials. Metabolism. 2013 Feb;62(2):303-14. doi: 10.1016/j.metabol.2012.07.009. Epub 2012 Sep 7.
- Rosenberg K. Prediabetes Increases Risk of Cardiovascular Disease. Am J Nurs. 2017 Jun;117(6):71. doi: 10.1097/01.NAJ.0000520262.18448.1c. No abstract available.
- Mayer-Davis EJ, Lawrence JM, Dabelea D, Divers J, Isom S, Dolan L, Imperatore G, Linder B, Marcovina S, Pettitt DJ, Pihoker C, Saydah S, Wagenknecht L; SEARCH for Diabetes in Youth Study. Incidence Trends of Type 1 and Type 2 Diabetes among Youths, 2002-2012. N Engl J Med. 2017 Apr 13;376(15):1419-1429. doi: 10.1056/NEJMoa1610187.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PNUHEnMJMK1
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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