Literature DB >> 27939239

Reduced Cardiovascular Disease Incidence With a National Lifestyle Change Program.

Sandra L Jackson1, Sandra Safo2, Lisa R Staimez3, Qi Long4, Mary K Rhee5, Solveig A Cunningham3, Darin E Olson5, Anne M Tomolo6, Usha Ramakrishnan3, K M Venkat Narayan3, Lawrence S Phillips5.   

Abstract

INTRODUCTION: Lifestyle change programs implemented within healthcare systems could reach many Americans, but their impact on cardiovascular disease (CVD) remains unclear. The MOVE! program is the largest lifestyle change program implemented in a healthcare setting in the U.S. This study aimed to determine whether MOVE! participation was associated with reduced CVD incidence.
METHODS: This retrospective cohort study, analyzed in 2013-2015, used national Veterans Health Administration databases to identify MOVE! participants and eligible non-participants for comparison (2005-2012). Patients eligible for MOVE!-obese or overweight with a weight-related health condition, and no baseline CVD-were examined (N=1,463,003). Of these, 169,248 (12%) were MOVE! PARTICIPANTS: Patients were 92% male, 76% white, with mean age 52 years and BMI of 32. The main outcome was incidence of CVD (ICD-9 and procedure codes for coronary artery disease, cerebrovascular disease, peripheral vascular disease, and heart failure).
RESULTS: Adjusting for age, race, sex, BMI, statin use, and baseline comorbidities, over a mean 4.9 years of follow-up, MOVE! participation was associated with lower incidence of total CVD (hazard ratio [HR]=0.83, 95% CI=0.80, 0.86); coronary artery disease (HR=0.81, 95% CI=0.77, 0.86); cerebrovascular disease (HR=0.87, 95% CI=0.82, 0.92); peripheral vascular disease (HR=0.89, 95% CI=0.83, 0.94); and heart failure (HR=0.78, 95% CI=0.74, 0.83). The association between MOVE! participation and CVD incidence remained significant when examined across categories of race/ethnicity, BMI, diabetes, hypertension, smoking status, and statin use.
CONCLUSIONS: Although participation was limited, MOVE! was associated with reduced CVD incidence in a nationwide healthcare setting. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2016        PMID: 27939239      PMCID: PMC5362302          DOI: 10.1016/j.amepre.2016.10.013

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  35 in total

1.  VHA Corporate Data Warehouse height and weight data: opportunities and challenges for health services research.

Authors:  Polly Hitchcock Noël; Laurel A Copeland; Ruth A Perrin; A Elizabeth Lancaster; Mary Jo Pugh; Chen-Pin Wang; Mary J Bollinger; Helen P Hazuda
Journal:  J Rehabil Res Dev       Date:  2010

Review 2.  Lifestyle interventions for patients with and at risk for type 2 diabetes: a systematic review and meta-analysis.

Authors:  Elizabeth Sumamo Schellenberg; Donna M Dryden; Ben Vandermeer; Christine Ha; Christina Korownyk
Journal:  Ann Intern Med       Date:  2013-10-15       Impact factor: 25.391

3.  Body mass index and survival in men and women aged 70 to 75.

Authors:  Leon Flicker; Kieran A McCaul; Graeme J Hankey; Konrad Jamrozik; Wendy J Brown; Julie E Byles; Osvaldo P Almeida
Journal:  J Am Geriatr Soc       Date:  2010-02       Impact factor: 5.562

4.  Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes.

Authors:  Rena R Wing; Paula Bolin; Frederick L Brancati; George A Bray; Jeanne M Clark; Mace Coday; Richard S Crow; Jeffrey M Curtis; Caitlin M Egan; Mark A Espeland; Mary Evans; John P Foreyt; Siran Ghazarian; Edward W Gregg; Barbara Harrison; Helen P Hazuda; James O Hill; Edward S Horton; Van S Hubbard; John M Jakicic; Robert W Jeffery; Karen C Johnson; Steven E Kahn; Abbas E Kitabchi; William C Knowler; Cora E Lewis; Barbara J Maschak-Carey; Maria G Montez; Anne Murillo; David M Nathan; Jennifer Patricio; Anne Peters; Xavier Pi-Sunyer; Henry Pownall; David Reboussin; Judith G Regensteiner; Amy D Rickman; Donna H Ryan; Monika Safford; Thomas A Wadden; Lynne E Wagenknecht; Delia S West; David F Williamson; Susan Z Yanovski
Journal:  N Engl J Med       Date:  2013-06-24       Impact factor: 91.245

5.  Primary prevention of coronary heart disease in women through diet and lifestyle.

Authors:  M J Stampfer; F B Hu; J E Manson; E B Rimm; W C Willett
Journal:  N Engl J Med       Date:  2000-07-06       Impact factor: 91.245

6.  Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study.

Authors:  X R Pan; G W Li; Y H Hu; J X Wang; W Y Yang; Z X An; Z X Hu; J Lin; J Z Xiao; H B Cao; P A Liu; X G Jiang; Y Y Jiang; J P Wang; H Zheng; H Zhang; P H Bennett; B V Howard
Journal:  Diabetes Care       Date:  1997-04       Impact factor: 19.112

Review 7.  Multiple risk factor interventions for primary prevention of coronary heart disease.

Authors:  Shah Ebrahim; Fiona Taylor; Kirsten Ward; Andrew Beswick; Margaret Burke; George Davey Smith
Journal:  Cochrane Database Syst Rev       Date:  2011-01-19

8.  The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity.

Authors:  Jaana Lindström; Anne Louheranta; Marjo Mannelin; Merja Rastas; Virpi Salminen; Johan Eriksson; Matti Uusitupa; Jaakko Tuomilehto
Journal:  Diabetes Care       Date:  2003-12       Impact factor: 19.112

9.  Evaluation of a weight management program for veterans.

Authors:  Alyson J Littman; Edward J Boyko; Mary B McDonell; Stephan D Fihn
Journal:  Prev Chronic Dis       Date:  2012-05-17       Impact factor: 2.830

10.  Design and dissemination of the MOVE! Weight-Management Program for Veterans.

Authors:  Linda S Kinsinger; Kenneth R Jones; Leila Kahwati; Richard Harvey; Mary Burdick; Virginia Zele; Steven J Yevich
Journal:  Prev Chronic Dis       Date:  2009-06-15       Impact factor: 2.830

View more
  4 in total

Review 1.  Scope of Use and Effectiveness of Dietary Interventions for Improving Health-Related Outcomes in Veterans: A Systematic Review.

Authors:  Rebecca Mellor; Elise Saunders-Dow; Hannah L Mayr
Journal:  Nutrients       Date:  2022-05-17       Impact factor: 6.706

2.  Random plasma glucose predicts the diagnosis of diabetes.

Authors:  Mary K Rhee; Yuk-Lam Ho; Sridharan Raghavan; Jason L Vassy; Kelly Cho; David Gagnon; Lisa R Staimez; Christopher N Ford; Peter W F Wilson; Lawrence S Phillips
Journal:  PLoS One       Date:  2019-07-19       Impact factor: 3.240

3.  Association of Food Access, Recreational Opportunities, and Natural Amenities with Engagement in the Veterans MOVE! Weight Management Program.

Authors:  Laura A Graham; Emily B Malone; Joshua S Richman; April P Carson; Olivia Affuso; Sara J Knight; Emily B Levitan
Journal:  Obesity (Silver Spring)       Date:  2020-01       Impact factor: 5.002

4.  Adoption and Appropriateness of mHealth for Weight Management in the Real World: A Qualitative Investigation of Patient Perspectives.

Authors:  Jessica Y Breland; Khizran Agha; Rakshitha Mohankumar
Journal:  JMIR Form Res       Date:  2021-12-08
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.