NCT04099550

Brief Summary

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.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
30

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Dec 2019

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

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

First Submitted

Initial submission to the registry

September 10, 2019

Completed
13 days until next milestone

First Posted

Study publicly available on registry

September 23, 2019

Completed
2 months until next milestone

Study Start

First participant enrolled

December 6, 2019

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2020

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2021

Completed
Last Updated

April 24, 2020

Status Verified

April 1, 2020

Enrollment Period

12 months

First QC Date

September 10, 2019

Last Update Submit

April 23, 2020

Conditions

Outcome Measures

Primary Outcomes (2)

  • HbA1C change

    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)

  • Weight (Kg) change

    weight change (Kg) at baseline (week 0) and end of intervention (week 12)

    baseline (week 0) and end of intervention (week 12)

Secondary Outcomes (1)

  • lipid profile

    baseline (week 0) and end of intervention (week 12)

Study Arms (2)

SMBG with lifestyle intervention

ACTIVE COMPARATOR

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.

Other: SMBG

RT-CGM with lifestyle intervention

EXPERIMENTAL

All participants receive a 12-week lifestyle intervention (diet and exercise). The intervention group was monitored initial 1-week with a RT-CGM.

Device: RT-CGM

Interventions

RT-CGMDEVICE

The group was monitored blood glucose initial 1-week with a RT-CGM.

RT-CGM with lifestyle intervention
SMBGOTHER

The group was monitored self-monitoring blood glucose (SMBG) at least 2 times a day for initial 1-week.

SMBG with lifestyle intervention

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • ≥ 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%

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Jeong Mi Kim

Busan, 49241, South Korea

RECRUITING

Related Publications (13)

  • 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.

    PMID: 25917335BACKGROUND
  • 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.

    PMID: 18818254BACKGROUND
  • 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.

    PMID: 15595336BACKGROUND
  • 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.

    PMID: 11158450BACKGROUND
  • 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.

    PMID: 11679447BACKGROUND
  • 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.

    PMID: 24876453BACKGROUND
  • 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.

    PMID: 20357497BACKGROUND
  • 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.

    PMID: 21389976BACKGROUND
  • 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.

    PMID: 23093136BACKGROUND
  • 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.

    PMID: 19150019BACKGROUND
  • 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.

    PMID: 22959500BACKGROUND
  • 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.

    PMID: 28541998BACKGROUND
  • 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.

    PMID: 28402773BACKGROUND

MeSH Terms

Conditions

Prediabetic StateObesity

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesOverweightOvernutritionNutrition DisordersBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • JEONG MI KIM, M.D

    Pusan National University Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

JEONG MI KIM, M.D

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: participants were randomised to undertake a 12-week lifestyle intervention with either RT-CGM or SMBG
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

September 10, 2019

First Posted

September 23, 2019

Study Start

December 6, 2019

Primary Completion

December 1, 2020

Study Completion

December 1, 2021

Last Updated

April 24, 2020

Record last verified: 2020-04

Data Sharing

IPD Sharing
Will not share

Locations