van factora Body toning workouts Fistribution, Seidell JC. Gut 57—, doi: Steinberger J, Daniels Facgors, Eckel RH, et CLA weight loss. BMI at age factor and factorz Body toning workouts diztribution throughout adulthood were also significant Belly fat burner risk factors for diabetes. Briefly, Body toning workouts anv cohort for this study consisted of 5, subjects who completed a comprehensive health check-up, including abdominal fat computed tomography CT and laboratory exams, from March to December at Seoul National University Hospital Healthcare System Gangnam Center. Multiple regression analysis showed that the significant independent correlates for triglycerides and HDL cholesterol were age and fat distribution; for systolic blood pressure, height and fat distribution; and for left ventricular mass, height, race, sex, and fat distribution. Table 2 Associations of childhood total body and abdominal fat mass measures with cardiovascular risk factors Full size table.

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Fat distribution and risk factors -

Although early obesity, absolute weight gain throughout adulthood, and waist circumference were good predictors of diabetes, attained BMI was the dominant risk factor for NIDDM; even men of average relative weight had significantly elevated RRs.

Sign In or Create an Account. Search Dropdown Menu. header search search input Search input auto suggest. filter your search All Content All Journals Diabetes Care. Advanced Search. User Tools Dropdown. Sign In. Skip Nav Destination Close navigation menu Article navigation. Volume 17, Issue 9.

Previous Article Next Article. Article Navigation. Original Articles September 01 Obesity, Fat Distribution, and Weight Gain as Risk Factors for Clinical Diabetes in Men June M Chan ; June M Chan.

Department of Nutrition, Brigham and Women's Hospital and Harvard Medical School. This Site. Google Scholar. Eric B Rimm, SCD ; Eric B Rimm, SCD. Department of Epidemiology, Brigham and Women's Hospital and Harvard Medical School.

Graham A Colditz, MD ; Graham A Colditz, MD. Harvard School of Public Health; and the Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School. Meir J Stampfer, MD ; Meir J Stampfer, MD. Walter C Willett, MD Walter C Willett, MD. Address correspondence and reprint requests to Eric B.

Rimm, ScD, Department of Nutrition, Harvard School of Public Health, Huntington Avenue, Boston, MA Diabetes Care ;17 9 — Article history Received:. Revision Received:. Access Status Full text of the requested work is not available in DASH at this time "restricted access".

For more information on restricted deposits, see our FAQ. Metadata Show full item record. Citation Chan, J. Rimm, G. Colditz, M.

Stampfer, and W. Abstract OBJECTIVE- To investigate the relation between obesity, fat distribution, and weight gain through adulthood and the risk of non-insulin-dependent diabetes mellitus NIDDM. RESEARCH DESIGN AND METHODS- We analyzed data from a cohort of 51, U. male health professionals, years of age in , who completed biennial questionnaires sent out in , , , and During 5 years of follow-up , cases of NIDDM were diagnosed among men without a history of diabetes, heart disease, and cancer in and who provided complete health information.

Relative risks RRs associated with different anthropometric measures were calculated controlling for age, and multivariate RRs were calculated controlling for smoking, family history of diabetes, and age. RESULTS- We found a strong positive association between overall obesity as measured by body mass index BMI and risk of diabetes.

BMI at age 21 and absolute weight gain throughout adulthood were also significant independent risk factors for diabetes. Although early obesity, absolute weight gain throughout adulthood, and waist circumference were good predictors of diabetes, attained BMI was the dominant risk factor for NIDDM; even men of average relative weight had significantly elevated RRs.

Pauline Koh-Banerjee, Youfa Disrribution, Fat distribution and risk factors B. Hu, Donna Spiegelman, Walter C. Willett, Factorss B. Although Body toning workouts studies have linked obesity fxctors diabetes, ditsribution risks associated with weight gain or changes in body fat distribution have not been fully elucidated. The authors therefore prospectively examined the relations between changes in body weight and body fat distribution — and the subsequent risk of diabetes — among 22, men in the Health Professionals Follow-up Study. June M Chan fistribution, Eric B RimmFat distribution and risk factors A ColditzWays to lower blood pressure J StampferWalter C Willett; Riks, Fat Distribution, and Factosr Gain idstribution Risk Factors for Clinical Diabetes fqctors Men. Diabetes Care 1 Supports time-release digestive health ; 17 9 : Fat distribution and risk factors To investigate the Fa between obesity, fat distribution, and weight gain through adulthood and the risk of non-insulin-dependent diabetes melli-tus NIDDM. We analyzed data from a cohort of 51, U. male health professionals, years of age inwho completed biennial questionnaires sent out in,and During 5 years of follow-upcases of NIDDM were diagnosed among men without a history of diabetes, heart disease, and cancer in and who provided complete health information. Relative risks RRs associated with different anthropometrie measures were calculated controlling for age, and multivariate RRs were calculated controlling for smoking, family history of diabetes, and age.