Literature DB >> 28783531

Comparison of relationships between four common anthropometric measures and incident diabetes.

Crystal Man Ying Lee1, Mark Woodward2, Nirmala Pandeya3, Robert Adams4, Elizabeth Barrett-Connor5, Edward J Boyko6, Mats Eliasson7, Laercio J Franco8, Wilfred Y Fujimoto9, Clicerio Gonzalez10, Barbara V Howard11, David R Jacobs12, Sirkka Keinanen-Kiukaanniemi13, Dianna Magliano14, Pamela Schreiner13, Jonathan E Shaw14, June Stevens15, Anne Taylor16, Jaakko Tuomilehto17, Lynne Wagenknecht18, Rachel R Huxley19.   

Abstract

AIMS: First, to conduct a detailed exploration of the prospective relations between four commonly used anthropometric measures with incident diabetes and to examine their consistency across different population subgroups. Second, to compare the ability of each of the measures to predict five-year risk of diabetes.
METHODS: We conducted a meta-analysis of individual participant data on body mass index (BMI), waist circumference (WC), waist-hip and waist-height ratio (WHtR) from the Obesity, Diabetes and Cardiovascular Disease Collaboration. Cox proportional hazard models were used to estimate the association between a one standard deviation increment in each anthropometric measure and incident diabetes. Harrell's concordance statistic was used to test the predictive accuracy of each measure for diabetes risk at five years.
RESULTS: Twenty-one studies with 154,998 participants and 9342 cases of incident diabetes were available. Each of the measures had a positive association with incident diabetes. A one standard deviation increment in each of the measures was associated with 64-80% higher diabetes risk. WC and WHtR more strongly associated with risk than BMI (ratio of hazard ratios: 0.95 [0.92,0.99] - 0.97 [0.95,0.98]) but there was no appreciable difference between the four measures in the predictive accuracy for diabetes at five years.
CONCLUSIONS: Despite suggestions that abdominal measures of obesity have stronger associations with incident diabetes and better predictive accuracy than BMI, we found no overall advantage in any one measure at discriminating the risk of developing diabetes. Any of these measures would suffice to assist in primary diabetes prevention efforts.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body mass index; Diabetes; Waist circumference

Mesh:

Year:  2017        PMID: 28783531      PMCID: PMC5728360          DOI: 10.1016/j.diabres.2017.07.022

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   8.180


  22 in total

1.  Comparisons of waist circumferences measured at 4 sites.

Authors:  Jack Wang; John C Thornton; Salina Bari; Bennett Williamson; Dympna Gallagher; Steven B Heymsfield; Mary Horlick; Donald Kotler; Blandine Laferrère; Laurel Mayer; F Xavier Pi-Sunyer; Richard N Pierson
Journal:  Am J Clin Nutr       Date:  2003-02       Impact factor: 7.045

2.  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

3.  AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures.

Authors:  Lei Chen; Dianna J Magliano; Beverley Balkau; Stephen Colagiuri; Paul Z Zimmet; Andrew M Tonkin; Paul Mitchell; Patrick J Phillips; Jonathan E Shaw
Journal:  Med J Aust       Date:  2010-02-15       Impact factor: 7.738

4.  Ethnicity, obesity, and risk of type 2 diabetes in women: a 20-year follow-up study.

Authors:  Iris Shai; Rui Jiang; Joann E Manson; Meir J Stampfer; Walter C Willett; Graham A Colditz; Frank B Hu
Journal:  Diabetes Care       Date:  2006-07       Impact factor: 19.112

5.  The diabetes risk score: a practical tool to predict type 2 diabetes risk.

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Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

Review 6.  Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis.

Authors:  Crystal Man Ying Lee; Rachel R Huxley; Rachel P Wildman; Mark Woodward
Journal:  J Clin Epidemiol       Date:  2008-03-21       Impact factor: 6.437

7.  Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses' Health Study.

Authors:  V J Carey; E E Walters; G A Colditz; C G Solomon; W C Willett; B A Rosner; F E Speizer; J E Manson
Journal:  Am J Epidemiol       Date:  1997-04-01       Impact factor: 4.897

Review 8.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

9.  BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants.

Authors:  Dagfinn Aune; Abhijit Sen; Manya Prasad; Teresa Norat; Imre Janszky; Serena Tonstad; Pål Romundstad; Lars J Vatten
Journal:  BMJ       Date:  2016-05-04

10.  Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents.

Authors:  Emanuele Di Angelantonio; Shilpa Bhupathiraju; David Wormser; Pei Gao; Stephen Kaptoge; Amy Berrington de Gonzalez; Benjamin Cairns; Rachel Huxley; Chandra Jackson; Grace Joshy; Sarah Lewington; JoAnn Manson; Neil Murphy; Alpa Patel; Jonathan Samet; Mark Woodward; Wei Zheng; Maigen Zhou; Narinder Bansal; Aurelio Barricarte; Brian Carter; James Cerhan; George Smith; Xianghua Fang; Oscar Franco; Jane Green; Jim Halsey; Janet Hildebrand; Keum Jung; Rosemary Korda; Dale McLerran; Steven Moore; Linda O'Keeffe; Ellie Paige; Anna Ramond; Gillian Reeves; Betsy Rolland; Carlotta Sacerdote; Naveed Sattar; Eleni Sofianopoulou; June Stevens; Michael Thun; Hirotsugu Ueshima; Ling Yang; Young Yun; Peter Willeit; Emily Banks; Valerie Beral; Zhengming Chen; Susan Gapstur; Marc Gunter; Patricia Hartge; Sun Jee; Tai-Hing Lam; Richard Peto; John Potter; Walter Willett; Simon Thompson; John Danesh; Frank Hu
Journal:  Lancet       Date:  2016-07-13       Impact factor: 79.321

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8.  Associations of Body Mass Index and Waist Circumference in Young Adulthood with Later Life Incident Diabetes.

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9.  The Prevalence of Overweight and Obesity in an Adult Kuwaiti Population in 2014.

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Journal:  BMJ Open Diabetes Res Care       Date:  2019-12-29
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