Literature DB >> 16873804

Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study.

Matthias B Schulze1, Christin Heidemann, Anja Schienkiewitz, Manuela M Bergmann, Kurt Hoffmann, Heiner Boeing.   

Abstract

Entities:  

Mesh：

Year:  2006        PMID： 16873804     DOI： 10.2337/dc06-0895

Source DB:  PubMed          Journal:  Diabetes Care        ISSN： 0149-5992            Impact factor:   19.112


× No keyword cloud information.
  47 in total

1.  Body mass index, waist circumference, and the risk of type 2 diabetes mellitus: implications for routine clinical practice.

Authors:  Silke Feller; Heiner Boeing; Tobias Pischon
Journal:  Dtsch Arztebl Int       Date:  2010-07-02       Impact factor: 5.594

2.  Association between Dietary Energy Density and Incident Type 2 Diabetes in the Women's Health Initiative.

Authors:  Melanie D Hingle; Betsy C Wertheim; Marian L Neuhouser; Lesley F Tinker; Barbara V Howard; Karen Johnson; Simin Liu; Lawrence S Phillips; Lihong Qi; Gloria Sarto; Tami Turner; Molly E Waring; Cynthia A Thomson
Journal:  J Acad Nutr Diet       Date:  2017-01-05       Impact factor: 4.910

3.  Association between adiposity in midlife and older age and risk of diabetes in older adults.

Authors:  Mary L Biggs; Kenneth J Mukamal; Jose A Luchsinger; Joachim H Ix; Mercedes R Carnethon; Anne B Newman; Ian H de Boer; Elsa S Strotmeyer; Dariush Mozaffarian; David S Siscovick
Journal:  JAMA       Date:  2010-06-23       Impact factor: 56.272

4.  Is the body adiposity index (hip circumference/height(1.5)) more strongly related to skinfold thicknesses and risk factor levels than is BMI? The Bogalusa Heart Study.

Authors:  David S Freedman; Heidi M Blanck; William H Dietz; Pronabesh DasMahapatra; Sathanur R Srinivasan; Gerald S Berenson
Journal:  Br J Nutr       Date:  2012-04-13       Impact factor: 3.718

5.  What explains the American disadvantage in health compared with the English? The case of diabetes.

Authors:  James Banks; Meena Kumari; James P Smith; Paola Zaninotto
Journal:  J Epidemiol Community Health       Date:  2010-10-01       Impact factor: 3.710

6.  Prediction of cold and heat patterns using anthropometric measures based on machine learning.

Authors:  Bum Ju Lee; Jae Chul Lee; Jiho Nam; Jong Yeol Kim
Journal:  Chin J Integr Med       Date:  2016-12-29       Impact factor: 1.978

7.  Glucose control in korean immigrants with type 2 diabetes.

Authors:  Sarah Choi; Sally Rankin
Journal:  West J Nurs Res       Date:  2009-01-26       Impact factor: 1.967

8.  Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study.

Authors:  Mohammadreza Bozorgmanesh; Farzad Hadaegh; Fereidoun Azizi
Journal:  Lipids Health Dis       Date:  2010-05-10       Impact factor: 3.876

9.  Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women.

Authors:  S G Wannamethee; O Papacosta; P H Whincup; C Carson; M C Thomas; D A Lawlor; S Ebrahim; N Sattar
Journal:  Diabetologia       Date:  2010-02-10       Impact factor: 10.122

10.  Skinfolds and coronary heart disease risk factors are more strongly associated with BMI than with the body adiposity index.

Authors:  David S Freedman; Cynthia L Ogden; Alyson B Goodman; Heidi M Blanck
Journal:  Obesity (Silver Spring)       Date:  2013-01       Impact factor: 5.002
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.