Translating the diabetes prevention program lifestyle intervention for weight loss into primary care: A randomized trial

JAMA Internal Medicine

Volumn 173, Issue 2, 2013, Pages 113-121

  Ma, Jun ^a,b   Yank, Veronica ^a,b   Xiao, Lan ^a   Lavori, Philip W ^b   Wilson, Sandra R ^a,b   Rosas, Lisa G ^b   Stafford, Randall S ^b  

^a PALO ALTO MEDICAL FOUNDATION RESEARCH INSTITUTE   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASIAN; BEHAVIOR MODIFICATION; BODY HEIGHT; BODY MASS; CLINICAL EVALUATION; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; GLUCOSE BLOOD LEVEL; HIGH RISK POPULATION; HISPANIC; HUMAN; IMPAIRED GLUCOSE TOLERANCE; LIFESTYLE MODIFICATION; MAINTENANCE THERAPY; MAJOR CLINICAL STUDY; MALE; MEDICAL SOCIETY; NON INSULIN DEPENDENT DIABETES MELLITUS; PACIFIC ISLANDER; PATIENT CARE; PHYSICAL ACTIVITY; PREVENTIVE MEDICINE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; PROPHYLAXIS; SELF MONITORING; VIDEOCONFERENCING; WAIST CIRCUMFERENCE; WEIGHT CONTROL; WEIGHT REDUCTION;

ADULT; AGED; DIABETES MELLITUS; FEMALE; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; PATIENT ACCEPTANCE OF HEALTH CARE; PRIMARY HEALTH CARE; RISK FACTORS; RISK REDUCTION BEHAVIOR; SELF CARE; VIDEODISC RECORDING; WEIGHT REDUCTION PROGRAMS;

EID: 84873428705     PISSN: 21686106     EISSN: None     Source Type: Journal    
DOI: 10.1001/2013.jamainternmed.987     Document Type: Article

References (35)

1. Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA. 2012;307(5):491-497.
2. Peeters A, Barendregt JJ, Willekens F, Mackenbach JP, Al Mamun A, Bonneux L; NEDCOM, the Netherlands Epidemiology and Demography Compression of Morbidity Research Group. Obesity in adulthood and its consequences for life expectancy: a life-table analysis. Ann Intern Med. 2003;138(1):24-32.
3. Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual medical spending attributable to obesity: payer-and service-specific estimates. Health Aff (Millwood). 2009;28(5):w822-w831.
4. Pan XR, Li GW, Hu YH, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study. Diabetes Care. 1997;20(4):537-544.
5. Tuomilehto J, Lindström J, Eriksson JG, et al; 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;344(18):1343-1350. (Pubitemid 32378388)
6. Knowler WC, Barrett-Connor E, Fowler SE, et al; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393-403. (Pubitemid 34437694)
7. Knowler WC, Fowler SE, Hamman RF, et al; Diabetes Prevention Program Research Group. Ten-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009;374(9702):1677-1686.
8. NIH and National Heart Lung Blood Institute. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The Evidence Report. Rockville, MD: DHHS, Public Health Service; 1998. NIH Publication No. 00-4084.
9. US Preventive Services Task Force. Screening for obesity in adults: recommendations and rationale. Ann Intern Med. 2003;139(11):930-932.
10. Agency for Healthcare Research and Quality. 2010 National Healthcare Quality Report. Rockville, MD: US Dept of Health and Human Services, Agency for Healthcare Research and Quality; 2010. AHRQ Publication No. 11-0004.
11. Ali MK, Echouffo-Tcheugui J, Williamson DF. How effective were lifestyle interventions in real-world settings that were modeled on the Diabetes Prevention Program? Health Aff (Millwood). 2012;31(1):67-75.
12. Appel LJ, Clark JM, Yeh HC, et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011;365(21):1959-1968.
13. Wadden TA, Volger S, Sarwer DB, et al. A two-year randomized trial of obesity treatment in primary care practice. N Engl J Med. 2011;365(21):1969- 1979.
14. Ma J, King AC, Wilson SR, Xiao L, Stafford RS. Evaluation of lifestyle interventions to treat elevated cardiometabolic risk in primary care (E-LITE): a randomized controlled trial. BMC Fam Pract. 2009;10:71.
15. Yank V, Xiao L, Stafford RS, Rosas LG, Wilson SR, Ma J. Translating the Diabetes Prevention Program (DPP) into primary care: a randomized trial. Diabetes. 2012; (61) (suppl 1): A155.
16. Grundy SM, Cleeman JI, Daniels SR, et al; American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735-2752. (Pubitemid 41532612)
17. Efron B. Forcing sequential experiment to be balanced. Biometrika. 1971;58(3):403-417.
18. Pocock SJ, Simon R. Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial. Biometrics. 1975;31(1):103-115.
19. Pocock SJ. Clinical Trials: A Practical Approach. Chichester, England: John Wiley and Sons; 1991.
20. Kramer MK, Kriska AM, Venditti EM, et al. Translating the Diabetes Prevention Program: a comprehensive model for prevention training and program delivery. Am J Prev Med. 2009;37(6):505-511.
21. Diabetes Prevention Support Center. Group Lifestyle Balance materials: a modification of the Diabetes Prevention Program's Lifestyle Change Program. Pittsburgh, PA: University of Pittsburgh. http://www.diabetesprevention. pitt.edu/glbmaterials.aspx. Accessed May 17, 2011.
22. Kramer MK, Kriska AM, Venditti EM, et al. A novel approach to diabetes prevention: evaluation of the Group Lifestyle Balance program delivered via DVD. Diabetes Res Clin Pract. 2010;90(3):e60-e63.
23. Tang L, Duan N, Klap R, Asarnow JR, Belin TR. Applying permutation tests with adjustment for covariates and attrition weights to randomized trials of health-services interventions. Stat Med. 2009;28(1):65-74.
24. Di Ciccio TJ, Efron B. Bootstrap confidence intervals. Statistical Sci. 1996;11(3):189-228. (Pubitemid 126706139)
25. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hills-dale, NJ: Erlbaum; 1988.
26. Kraemer HC, Kupfer DJ. Size of treatment effects and their importance to clinical research and practice. Biol Psychiatry. 2006;59(11):990-996. (Pubitemid 43849650)
27. Guyatt GH, Juniper EF, Walter SD, Griffith LE, Goldstein RS. Interpreting treatment effects in randomised trials. BMJ. 1998;316(7132):690-693. (Pubitemid 28121037)
28. Kriska AM, Delahanty LM, Pettee KK. Lifestyle intervention for the prevention of type 2 diabetes: translation and future recommendations. Curr Diab Rep. 2004;4(2):113-118. (Pubitemid 38906817)
29. Tsai AG, Wadden TA. Treatment of obesity in primary care practice in the United States: a systematic review. J Gen Intern Med. 2009;24(9):1073-1079.
30. Li Z, Maglione M, Tu W, et al. Meta-analysis: pharmacologic treatment of obesity. Ann Intern Med. 2005;142(7):532-546.
31. King AC, Ahn DF, Atienza AA, Kraemer HC. Exploring refinements in targeted behavioral medicine intervention to advance public health. Ann Behav Med. 2008;35(3):251-260.
32. Latinos online, 2006-2008: narrowing the gap. Pew Internet and American Life Project. http://pewhispanic.org/files/reports/119.pdf. Accessed January 5, 2010.
33. Sarasohn-Kahn J. How Smartphones Are Changing Health Care for Consumers and Providers. Oakland: California HealthCare Foundation; 2010.
34. Blumenthal D. Stimulating the adoption of health information technology. N Engl J Med. 2009;360(15):1477-1479.
35. Centers for Medicare and Medicaid Services. Decision Memo for Intensive Behavioral Therapy for Obesity (CAG-00423N). http://www.cms.gov/medicare- coverage-database/details/nca-decision-memo.aspx?&NcaName= Intensive%20Behavioral%20Therapy%20for%20Obesity&bc=ACAAAAAAIAAA&NCAId= 253&. Accessed December 6, 2011.