Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
36 participants
INTERVENTIONAL
2008-12-31
2009-10-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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1
Subject will be randomly assigned to work with providers at Clinton Medical Associates
DPP
1. The primary outcome measure is weight loss with a goal of 7% of initial weight.
2. Secondary outcomes are adherence to behavior changes:
1. Exercising a minimum of 150 minutes per week at a moderate level to maintain an energy expenditure of 700 kcals per week
2. Fat intake less than 25% and saturated fat less than 10%
3. Fiber intake of at least 25 grams per day
4. Fasting blood sugar \< 100 mg/dL
5. Absence of tobacco use
2
Subjects will be randomly assigned to work with providers at 1655 Elmwood AVe, Suite 125
DPP
1. The primary outcome measure is weight loss with a goal of 7% of initial weight.
2. Secondary outcomes are adherence to behavior changes:
1. Exercising a minimum of 150 minutes per week at a moderate level to maintain an energy expenditure of 700 kcals per week
2. Fat intake less than 25% and saturated fat less than 10%
3. Fiber intake of at least 25 grams per day
4. Fasting blood sugar \< 100 mg/dL
5. Absence of tobacco use
Interventions
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DPP
1. The primary outcome measure is weight loss with a goal of 7% of initial weight.
2. Secondary outcomes are adherence to behavior changes:
1. Exercising a minimum of 150 minutes per week at a moderate level to maintain an energy expenditure of 700 kcals per week
2. Fat intake less than 25% and saturated fat less than 10%
3. Fiber intake of at least 25 grams per day
4. Fasting blood sugar \< 100 mg/dL
5. Absence of tobacco use
DPP
1. The primary outcome measure is weight loss with a goal of 7% of initial weight.
2. Secondary outcomes are adherence to behavior changes:
1. Exercising a minimum of 150 minutes per week at a moderate level to maintain an energy expenditure of 700 kcals per week
2. Fat intake less than 25% and saturated fat less than 10%
3. Fiber intake of at least 25 grams per day
4. Fasting blood sugar \< 100 mg/dL
5. Absence of tobacco use
Eligibility Criteria
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Inclusion Criteria
* BMI \>24 kg/m2 (\>22 kg/m2 among Asian Americans)
* IGT (2-h plasma glucose 140\~199 mg/dl based on 75-g OGTT if available). The OGTT will not be required for inclusion, but the CMA practitioners may wish to recommend the OGTT for their patients.
* Elevated FPG (95\~125 mg/dl\*).
* HDL-triglyceride ration \> 3.5.
Exclusion Criteria
* FPG \>126 mg/dl\*
* 2-h plasma glucose \>200 mg/dl based on 75-g OGTT, if available. OGTT will not be required (see above note).
* Diabetes diagnosed by a physician and confirmed by other clinical data, other than during pregnancy.
* Ever used antidiabetic medication, other than during pregnancy
* Medical conditions likely to limit life span and/or increase risk of intervention
* Cardiovascular disease
* Hospitalization for treatment of heart disease in past 6 months New York Heart Association Functional Class\> 2
* Left bundle branch block or third degree AV block Aortic stenosis
* Systolic blood pressure\> 180 mmHg or diastolic blood pressure\> 105 mmHg
* Cancer requiring treatment in the past 5 years, unless the prognosis is considered good
* Renal disease (creatinine GFR \< or = 30 ml/hr or \> 2.0 mg/dl if GFR not available).
* Anemia (hematocrit \<36% in men or \<33% in women)
* Hepatitis (based on history or serum transaminase elevation)
* Other gastrointestinal disease (pancreatitis, acute inflammatory bowel disease)
* Recent or significant abdominal surgery
* Pulmonary disease with dependence on oxygen or daily use of bronchodilators
* Chronic infection (e.g., HIV, active tuberculosis)
* Conditions or behaviors likely to affect conduct of the trial
* Unable to communicate with clinic staff (e.g., read and speak English).
* Unwilling to accept treatment assignment by randomization
* Participation in another intervention research project that might interfere with DPP
* Weight loss of \> 10% in past 6 months for any reason except postpartum weight loss
* Unable to walk 0.25 miles in 10 min
* Currently pregnant or within 3 months postpartum
* Currently nursing or within 6 weeks of having completed nursing
* Pregnancy anticipated during the course of the trial
* Unwilling to undergo pregnancy testing or report possible pregnancy promptly
* Unwilling to take adequate contraceptive measures, if potentially fertile
* Major psychiatric disorder, including severe active major depression, severe anxiety, schizophrenia, manic depression, bi-polar disorder
* Excessive alcohol intake, either acute or chronic
* Medications and medical conditions likely to confound the assessment for diabetes including:
* Niacin, in doses indicated for lowering serum triglycerides
* Glucocorticoids, systemic
* Other prescription weight-loss medications
* Active Thyroid disease, suboptimally treated as indicated by abnormal serum thyroid-stimulating hormone
* Other endocrine disorders (e.g., Cushing's syndrome, acromegaly)
* Fasting plasma triglyceride \>600 mg/dl, despite treatment
18 Years
90 Years
ALL
Yes
Sponsors
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University of Rochester
OTHER
Responsible Party
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Geoffrey Williams
Professor
Principal Investigators
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Geoffrey C Williams, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University ofRochester
Heather Patrick, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Rochester
Locations
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Clinton Medical Associated
Rochester, New York, United States
Therapeutic Lifestyle Changes
Rochester, New York, United States
Countries
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References
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American Diabetes Association. Standards of medical care in diabetes--2008. Diabetes Care. 2008 Jan;31 Suppl 1:S12-54. doi: 10.2337/dc08-S012. No abstract available.
Benjamin SM, Valdez R, Geiss LS, Rolka DB, Narayan KM. Estimated number of adults with prediabetes in the US in 2000: opportunities for prevention. Diabetes Care. 2003 Mar;26(3):645-9. doi: 10.2337/diacare.26.3.645.
Goldstein MG, Whitlock EP, DePue J; Planning Committee of the Addressing Multiple Behavioral Risk Factors in Primary Care Project. Multiple behavioral risk factor interventions in primary care. Summary of research evidence. Am J Prev Med. 2004 Aug;27(2 Suppl):61-79. doi: 10.1016/j.amepre.2004.04.023.
Herman WH, Hoerger TJ, Brandle M, Hicks K, Sorensen S, Zhang P, Hamman RF, Ackermann RT, Engelgau MM, Ratner RE; Diabetes Prevention Program Research Group. The cost-effectiveness of lifestyle modification or metformin in preventing type 2 diabetes in adults with impaired glucose tolerance. Ann Intern Med. 2005 Mar 1;142(5):323-32. doi: 10.7326/0003-4819-142-5-200503010-00007.
Maciosek MV, Edwards NM, Coffield AB, Flottemesch TJ, Nelson WW, Goodman MJ, Solberg LI. Priorities among effective clinical preventive services: methods. Am J Prev Med. 2006 Jul;31(1):90-6. doi: 10.1016/j.amepre.2006.03.011.
Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M; Finnish Diabetes Prevention Study Group. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001 May 3;344(18):1343-50. doi: 10.1056/NEJM200105033441801.
Westfall JM, Mold J, Fagnan L. Practice-based research--"Blue Highways" on the NIH roadmap. JAMA. 2007 Jan 24;297(4):403-6. doi: 10.1001/jama.297.4.403. No abstract available.
Williams GC, Grow VM, Freedman ZR, Ryan RM, Deci EL. Motivational predictors of weight loss and weight-loss maintenance. J Pers Soc Psychol. 1996 Jan;70(1):115-26. doi: 10.1037//0022-3514.70.1.115.
Related Links
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Diabetes Prevention Program
Other Identifiers
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24895
Identifier Type: -
Identifier Source: org_study_id
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