BACKGROUND: Obesity is one of the most important cardiovascular disease (CVD) risk factors among diabetic populations. We evaluated the ability of different anthropometric measures for predicting CVD among type 2 diabetic patients. METHODS: The study consisted of 411 men and 599 women, aged ≥30 years, free of CVD at baseline with a median follow-up of 8.4 years. The adjusted hazard ratios (HRs) for CVD were calculated for a 1 standard deviation change in body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) using Cox proportional regression analysis. RESULTS: A total of 188 CVD events occurred (men, 90; women, 98). In women, in confounder-adjusted analysis [age, fasting plasma glucose (instead of glycosylated hemoglobin), and positive family history of CVD], WHR was associated with incident CVD [1.32 (1.06-1.65)], followed by WC and WHtR, which were marginally significant (P=0.06 and 0.08, respectively); after adjustment for hypertension and hypercholesterolemia, only WHR predicted CVD significantly. In men, the confounder-adjusted (age, fasting plasma glucose, and aspirin use) HR to predict CVD was significant only for WHR [HR 1.21(1.00-1.48)]. CONCLUSION: This study showed WHR was the most powerful predictor of CVD among anthropometric measures, followed by WHtR, in diabetic population.
BACKGROUND:Obesity is one of the most important cardiovascular disease (CVD) risk factors among diabetic populations. We evaluated the ability of different anthropometric measures for predicting CVD among type 2 diabeticpatients. METHODS: The study consisted of 411 men and 599 women, aged ≥30 years, free of CVD at baseline with a median follow-up of 8.4 years. The adjusted hazard ratios (HRs) for CVD were calculated for a 1 standard deviation change in body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) using Cox proportional regression analysis. RESULTS: A total of 188 CVD events occurred (men, 90; women, 98). In women, in confounder-adjusted analysis [age, fasting plasma glucose (instead of glycosylated hemoglobin), and positive family history of CVD], WHR was associated with incident CVD [1.32 (1.06-1.65)], followed by WC and WHtR, which were marginally significant (P=0.06 and 0.08, respectively); after adjustment for hypertension and hypercholesterolemia, only WHR predicted CVD significantly. In men, the confounder-adjusted (age, fasting plasma glucose, and aspirin use) HR to predict CVD was significant only for WHR [HR 1.21(1.00-1.48)]. CONCLUSION: This study showed WHR was the most powerful predictor of CVD among anthropometric measures, followed by WHtR, in diabetic population.
Authors: Ronny A Bell; Haiying Chen; Santiago Saldana; Alain G Bertoni; Valery S Effoe; Kristen G Hairston; Rita R Kalyani; Arnita F Norwood Journal: J Racial Ethn Health Disparities Date: 2018-02-09
Authors: Sachiko Yoneyama; Yiran Guo; Matthew B Lanktree; Michael R Barnes; Clara C Elbers; Konrad J Karczewski; Sandosh Padmanabhan; Florianne Bauer; Jens Baumert; Amber Beitelshees; Gerald S Berenson; Jolanda M A Boer; Gregory Burke; Brian Cade; Wei Chen; Rhonda M Cooper-Dehoff; Tom R Gaunt; Christian Gieger; Yan Gong; Mathias Gorski; Nancy Heard-Costa; Toby Johnson; Michael J Lamonte; Caitrin McDonough; Keri L Monda; N Charlotte Onland-Moret; Christopher P Nelson; Jeffrey R O'Connell; Jose Ordovas; Inga Peter; Annette Peters; Jonathan Shaffer; Haiqinq Shen; Erin Smith; Liz Speilotes; Fridtjof Thomas; Barbara Thorand; W M Monique Verschuren; Sonia S Anand; Anna Dominiczak; Karina W Davidson; Robert A Hegele; Iris Heid; Marten H Hofker; Gordon S Huggins; Thomas Illig; Julie A Johnson; Susan Kirkland; Wolfgang König; Taimour Y Langaee; Jeanne McCaffery; Olle Melander; Braxton D Mitchell; Patricia Munroe; Sarah S Murray; George Papanicolaou; Susan Redline; Muredach Reilly; Nilesh J Samani; Nicholas J Schork; Yvonne T Van Der Schouw; Daichi Shimbo; Alan R Shuldiner; Martin D Tobin; Cisca Wijmenga; Salim Yusuf; Hakon Hakonarson; Leslie A Lange; Ellen W Demerath; Caroline S Fox; Kari E North; Alex P Reiner; Brendan Keating; Kira C Taylor Journal: Hum Mol Genet Date: 2013-12-17 Impact factor: 6.150
Authors: Mohammad Ziaul Islam Chowdhury; Fahmida Yeasmin; Doreen M Rabi; Paul E Ronksley; Tanvir C Turin Journal: BMJ Open Date: 2019-08-30 Impact factor: 2.692
Authors: Maud Alligier; Romain Barrès; Ellen E Blaak; Yves Boirie; Jildau Bouwman; Paul Brunault; Kristina Campbell; Karine Clément; I Sadaf Farooqi; Nathalie J Farpour-Lambert; Gema Frühbeck; Gijs H Goossens; Jorg Hager; Jason C G Halford; Hans Hauner; David Jacobi; Chantal Julia; Dominique Langin; Andrea Natali; Martin Neovius; Jean Michel Oppert; Uberto Pagotto; Antonio L Palmeira; Helen Roche; Mikael Rydén; André J Scheen; Chantal Simon; Thorkild I A Sorensen; Luc Tappy; Hannele Yki-Järvinen; Olivier Ziegler; Martine Laville Journal: Obes Facts Date: 2020-01-16 Impact factor: 3.942