Literature DB >> 17425061

How effective are lifestyle changes in the prevention of type 2 diabetes mellitus?

F Xavier Pi-Sunyer1.   

Abstract

Obesity and impaired glucose tolerance are associated with a greater risk for a number of conditions, including insulin resistance, diabetes mellitus, hypertension, dyslipidemia, coagulation abnormalities, inflammatory markers, and coronary heart disease. Lifestyle changes can delay or prevent the development of type 2 diabetes in patients with obesity and impaired glucose tolerance. The risks improve with weight loss and increased physical activity. A decrease of 7% to 10% or more from baseline weight can have a significant effect. This has now been documented in a number of randomized, controlled studies.

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Year:  2007        PMID： 17425061     DOI： 10.1111/j.1753-4887.2007.tb00287.x

Source DB:  PubMed          Journal:  Nutr Rev        ISSN： 0029-6643            Impact factor:   7.110


  13 in total

1.  Short-term weight change and fluctuation as risk factors for type 2 diabetes in Finnish male smokers.

Authors:  Merja Kataja-Tuomola; Jari Sundell; Satu Männistö; Mikko J Virtanen; Jukka Kontto; Demetrius Albanes; Jarmo Virtamo
Journal:  Eur J Epidemiol       Date:  2010-03-30       Impact factor: 8.082

2.  Impacting obesity and glycemic control using a culturally-sensitive diabetes education program in Hispanic patients with type 2 diabetes.

Authors:  Ralph M Peterson; Larry Beeson; Eloy Shulz; Anthony Firek; Marino De Leon; Hector Balcazar; Serena Tonstad; Zaida R Cordero-Macintyre
Journal:  Int J Body Compos Res       Date:  2010

Review 3.  Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.

Authors:  L Susan Wieland; Louise Falzon; Chris N Sciamanna; Kimberlee J Trudeau; Suzanne Brodney; Joseph E Schwartz; Karina W Davidson
Journal:  Cochrane Database Syst Rev       Date:  2012-08-15

4.  Long-term outcomes from a multiple-risk-factor diabetes trial for Latinas: ¡Viva Bien!

Authors:  Deborah J Toobert; Lisa A Strycker; Diane K King; Manuel Barrera; Diego Osuna; Russell E Glasgow
Journal:  Transl Behav Med       Date:  2011-09       Impact factor: 3.046

5.  Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes.

Authors:  Wei Yu; Tiebin Liu; Rodolfo Valdez; Marta Gwinn; Muin J Khoury
Journal:  BMC Med Inform Decis Mak       Date:  2010-03-22       Impact factor: 2.796

Review 6.  Randomized clinical trials of weight loss maintenance: a review.

Authors:  Melanie Warziski Turk; Kyeongra Yang; Marilyn Hravnak; Susan M Sereika; Linda J Ewing; Lora E Burke
Journal:  J Cardiovasc Nurs       Date:  2009 Jan-Feb       Impact factor: 2.083

7.  An electronic health record-enabled obesity database.

Authors:  G Craig Wood; Xin Chu; Christina Manney; William Strodel; Anthony Petrick; Jon Gabrielsen; Jamie Seiler; David Carey; George Argyropoulos; Peter Benotti; Christopher D Still; Glenn S Gerhard
Journal:  BMC Med Inform Decis Mak       Date:  2012-05-28       Impact factor: 2.796

8.  Effects of chronic calorie restriction or dietary resveratrol supplementation on insulin sensitivity markers in a primate, Microcebus murinus.

Authors:  Julia Marchal; Stéphane Blanc; Jacques Epelbaum; Fabienne Aujard; Fabien Pifferi
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

9.  Real-data comparison of data mining methods in prediction of diabetes in iran.

Authors:  Lily Tapak; Hossein Mahjub; Omid Hamidi; Jalal Poorolajal
Journal:  Healthc Inform Res       Date:  2013-09-30

Review 10.  Behavioural Risk Factors in Mid-Life Associated with Successful Ageing, Disability, Dementia and Frailty in Later Life: A Rapid Systematic Review.

Authors:  Louise Lafortune; Steven Martin; Sarah Kelly; Isla Kuhn; Olivia Remes; Andy Cowan; Carol Brayne
Journal:  PLoS One       Date:  2016-02-04       Impact factor: 3.240
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