Comparative effectiveness of lifestyle intervention efforts in the community: Results of the rethinking eating and ACTivity (REACT) study

Diabetes Care

Volumn 36, Issue 2, 2013, Pages 202-209

  Piatt, Gretchen A ^a   Seidel, Miriam C ^b   Powell, Robert O ^b   Zgibor, Janice C ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BODY MASS; CARDIOVASCULAR RISK; CAUCASIAN; COMMUNITY CARE; COMMUNITY LIVING; COMPARATIVE EFFECTIVENESS; DIABETES CONTROL; FACE TO FACE INTERVENTION; FEMALE; FOLLOW UP; GROUP LIFESTYLE BALANCE INTERVENTION; HEALTH PROGRAM; HUMAN; HYPERLIPIDEMIA; HYPERTENSION; INTERNET; LIFESTYLE MODIFICATION; MALE; OBESITY; PROSPECTIVE STUDY; QUASI EXPERIMENTAL STUDY; RISK REDUCTION; RURAL AREA; SELF SELECTION INTERVENTION; TREATMENT DURATION; TREATMENT OUTCOME; VIDEO DISK; WAIST CIRCUMFERENCE; WEIGHT REDUCTION;

ADULT; BODY WEIGHT; FEMALE; HUMANS; INTERNET; LIFE STYLE; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; RISK FACTORS; WEIGHT LOSS;

EID: 84873844291     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc12-0824     Document Type: Article

References (34)

1. Ervin RB. Prevalence of Metabolic Syndrome Among Adults 20 Years of Age and Over, by Sex, Age, Race and Ethnicity, and Body Mass Index: United States, 2003-2006. Hyattsville, MD, National Center for Health Statistics, 2009
2. United Health Foundation; American Public Health Association; Partnership for Prevention. The Future Costs of Obesity: National and State Estimates of the Impact of Obesity on Direct Health Care Expenses. Emory University, Atlanta, GA, 2009
3. 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;346:393-403
4. Pan X-R, Li G-W, Hu Y-H, 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;20:537-544
5. Tuomilehto J, Lindstrom 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 EnglJ Med 2001;344:1343-1350
6. Li G, Zhang P, Wang J, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet 2008;371:1783-1789
7. Lindström J, Ilanne-Parikka P, Peltonen M, et al.; Finnish Diabetes Prevention Study Group. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. Lancet 2006; 368:1673-1679
8. Knowler WC, Fowler SE, Hamman RF, et al.; Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009;374:1677-1686
9. Colagiuri S, Vita P, Cardona-Morrell M, et al. The Sydney Diabetes Prevention Program: a community-based translational study. BMC Public Health 2010;10:328
10. Seidel MC, Powell RO, Zgibor JC, Siminerio LM, Piatt GA. Translating the Diabetes Prevention Program into an urban medically underserved community: a nonrandomized prospective intervention study. Diabetes Care 2008;31: 684-689
11. Ackermann RT, Finch EA, Brizendine E, Zhou H, Marrero DG. Translating the Diabetes Prevention Program into the community. The DEPLOY Pilot Study. Am J Prev Med 2008;35:357-363
12. Absetz P, Valve R, Oldenburg B, et al. Type 2 diabetes prevention in the "real world": one-year results of the GOAL Implementation Trial. Diabetes Care 2007;30:2465-2470
13. Amundson HA, Butcher MK, Gohdes D, et al.; Montana Cardiovascular Disease and Diabetes Prevention Program Workgroup. Translating the diabetes prevention program into practice in the general community: findings from the Montana Cardiovascular Disease and Diabetes Prevention Program. Diabetes Educ 2009;35: 209-210, 213-214, 216-220 passim
14. 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;37:505-511
15. Whittemore R, Melkus G, Wagner J, Dziura J, Northrup V, Grey M. Translating the diabetes prevention program to primary care: a pilot study. Nurs Res 2009; 58:2-12
16. Katula JA, Vitolins MZ, Rosenberger EL, et al. One-year results of a community-based translation of the Diabetes Prevention Program: Healthy-Living Partnerships to Prevent Diabetes (HELP PD) Project. Diabetes Care 2011;34:1451-1457
17. Norris SLZX, Avenell A, Gregg E, Brown T, Schmid CH, Lau J. Long-term non-pharmacological weight loss interventions for adults with type 2 diabetes mellitus. Cochrane Database Syst Rev 2005; CD005270
18. Wing RR; Look AHEAD Research Group. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med 2010;170: 1566-1575
19. The Trials of Hypertension Prevention Collaborative Research Group. Effects of weight loss and sodium reduction intervention on blood pressure and hypertension incidence in overweight people with high-normal blood pressure. The Trials of Hypertension Prevention, phase II. Arch Intern Med 1997;157:657-667
20. Appel LJ, Champagne CM, Harsha DW, et al.; Writing Group of the PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 2003;289: 2083-2093
21. U.S. Census Bureau. State/county facts [article online], 2009. Available from http://quickfacts.census.gov. Accessed 15 March 2012
22. University of Pittsburgh. University of Pittsburgh Diabetes Prevention Support Center, 2006. Available from http://www.diabetesprevention.pitt.edu. Accessed 18 April 2012
23. Millay JM. Accurately measuring blood pressure. Accurate Blood Pressure Measurement for Medical Instrumentation. Available from http:// accuratebloodpressure.com. Accessed 18 April 2012
24. Mason C, Katzmarzyk PT. Variability in waist circumference measurements according to anatomic measurement site. Obesity (Silver Spring) 2009;17:1789-1795
25. Ware JE Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996;34: 220-233
26. Fitzgerald JT, Davis WK, Connell CM, Hess GE, Funnell MM, Hiss RG. Development and validation of the Diabetes Care Profile. Eval Health Prof 1996:19; 208-230
27. Toobert DJ, Hampson SE, Glasgow RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care 2000;23: 943-950
28. U.S. Department of Health and Human Services. ATP III Guidelines at a Glance Quick Desk Reference. Bethesda, MD, National Institutes of Health, 2001 (NIH publ. no. 01-3305)
29. Franz MJ, VanWormer JJ, Crain AL, et al. Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J Am Diet Assoc 2007;107: 1755-1767
30. Jackson L. Translating the Diabetes Prevention Program into practice: a review of community interventions. Diabetes Educ 2009;35:309-320
31. 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:e60-e63
32. McTigue KM, Conroy MB, Hess R, et al. Using the internet to translate an evidence-based lifestyle intervention into practice. Telemed J E Health 2009;15: 851-858
33. Burton P, Gurrin L, Sly P. Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi-level mixed modelling. Stat Med 1998;17:1261-1291
34. Ten Have TR, Kunselman AR, Pulkstenis EP, Landis Jr. Mixed effects logistic regression models for longitudinal binary response data with informative drop-out. Biometrics 1998;54:367-383