Juhua Luo1, Michael Hendryx2, Deepika Laddu3, Lawrence S Phillips4,5, Rowan Chlebowski6, Erin S LeBlanc7, David B Allison8, Dorothy A Nelson9, Yueyao Li8, Milagros C Rosal10, Marcia L Stefanick11, JoAnn E Manson12. 1. Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN juhluo@indiana.edu. 2. Department of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN. 3. Department of Physical Therapy, College of Applied Health Science, University of Illinois at Chicago, Chicago, IL. 4. Atlanta VA Health Care System, Decatur, GA. 5. Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA. 6. City of Hope National Medical Center, Duarte, CA. 7. Kaiser Permanente Center for Health Research NW, Portland, OR. 8. Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN. 9. Department of Sociology, Anthropology, Social Work, and Criminal Justice, Oakland University, Rochester, MI. 10. Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, MA. 11. Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA. 12. Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Abstract
OBJECTIVE: The study objective was to examine the impact of race/ethnicity on associations between anthropometric measures and diabetes risk. RESEARCH DESIGN AND METHODS: A total of 136,112 postmenopausal women aged 50-79 years participating in the Women's Health Initiative without baseline cancer or diabetes were followed for 14.6 years. BMI, waist circumference (WC), and waist-to-hip ratio (WHR) were measured in all participants, and a subset of 9,695 had assessment of whole-body fat mass, whole-body percent fat, trunk fat mass, and leg fat mass by DXA. Incident diabetes was assessed via self-report. Multivariate Cox proportional hazards regression models were used to assess associations between anthropometrics and diabetes incidence. RESULTS: During follow-up, 18,706 cases of incident diabetes were identified. BMI, WC, and WHR were all positively associated with diabetes risk in each racial and ethnic group. WC had the strongest association with risk of diabetes across all racial and ethnic groups. Compared with non-Hispanic whites, associations with WC were weaker in black women (P < 0.0001) and stronger in Asian women (P < 0.0001). Among women with DXA determinations, black women had a weaker association with whole-body fat (P = 0.02) but a stronger association with trunk-to-leg fat ratio (P = 0.03) compared with white women. CONCLUSIONS: In postmenopausal women across all racial/ethnic groups, WC was a better predictor of diabetes risk, especially for Asian women. Better anthropometric measures that reflect trunk-to-leg fat ratio may improve diabetes risk assessment for black women.
OBJECTIVE: The study objective was to examine the impact of race/ethnicity on associations between anthropometric measures and diabetes risk. RESEARCH DESIGN AND METHODS: A total of 136,112 postmenopausal women aged 50-79 years participating in the Women's Health Initiative without baseline cancer or diabetes were followed for 14.6 years. BMI, waist circumference (WC), and waist-to-hip ratio (WHR) were measured in all participants, and a subset of 9,695 had assessment of whole-body fat mass, whole-body percent fat, trunk fat mass, and leg fat mass by DXA. Incident diabetes was assessed via self-report. Multivariate Cox proportional hazards regression models were used to assess associations between anthropometrics and diabetes incidence. RESULTS: During follow-up, 18,706 cases of incident diabetes were identified. BMI, WC, and WHR were all positively associated with diabetes risk in each racial and ethnic group. WC had the strongest association with risk of diabetes across all racial and ethnic groups. Compared with non-Hispanic whites, associations with WC were weaker in black women (P < 0.0001) and stronger in Asian women (P < 0.0001). Among women with DXA determinations, black women had a weaker association with whole-body fat (P = 0.02) but a stronger association with trunk-to-leg fat ratio (P = 0.03) compared with white women. CONCLUSIONS: In postmenopausal women across all racial/ethnic groups, WC was a better predictor of diabetes risk, especially for Asian women. Better anthropometric measures that reflect trunk-to-leg fat ratio may improve diabetes risk assessment for black women.
Authors: Jennifer Hays; Julie R Hunt; F Allan Hubbell; Garnet L Anderson; Marian Limacher; Catherine Allen; Jacques E Rossouw Journal: Ann Epidemiol Date: 2003-10 Impact factor: 3.797
Authors: Scott M Grundy; James I Cleeman; Stephen R Daniels; Karen A Donato; Robert H Eckel; Barry A Franklin; David J Gordon; Ronald M Krauss; Peter J Savage; Sidney C Smith; John A Spertus; Fernando Costa Journal: Circulation Date: 2005-09-12 Impact factor: 29.690
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
Authors: M Garaulet; F Pérez-Llamas; J C Baraza; M D Garcia-Prieto; P S Fardy; F J Tébar; S Zamora Journal: J Nutr Health Aging Date: 2002 Impact factor: 4.075
Authors: Alexander Frenzel; Hans Binder; Nadja Walter; Kerstin Wirkner; Markus Loeffler; Henry Loeffler-Wirth Journal: NPJ Aging Mech Dis Date: 2020-03-24
Authors: Kelly C Allison; Christina M Hopkins; Madelyn Ruggieri; Andrea M Spaeth; Rexford S Ahima; Zhe Zhang; Deanne M Taylor; Namni Goel Journal: Curr Biol Date: 2020-11-30 Impact factor: 10.834
Authors: Deepika R Laddu; FeiFei Qin; Haley Hedlin; Marcia L Stefanick; JoAnn E Manson; Oleg Zaslavsky; Charles Eaton; Lisa Warsinger Martin; Thomas Rohan; Themistocles L Assimes Journal: Mayo Clin Proc Date: 2021-08-31 Impact factor: 7.616
Authors: L A Rodriguez; P T Bradshaw; S C Shiboski; A Fernandez; E Vittinghoff; D Herrington; J Ding; A M Kanaya Journal: Diabet Med Date: 2020-09-22 Impact factor: 4.213
Authors: Vanessa Kraege; Peter Vollenweider; Gérard Waeber; Stephen J Sharp; Maite Vallejo; Oscar Infante; Mohammad Reza Mirjalili; Fatemeh Ezoddini-Ardakani; Hassan Mozaffari-Khosravi; Mohammad Hasan Lotfi; Masoud Mirzaei; Marie Méan; Pedro Marques-Vidal Journal: PLoS One Date: 2019-10-09 Impact factor: 3.240
Authors: Kaori Kitaoka; Ayaka Tsuboi; Satomi Minato-Inokawa; Mari Honda; Mika Takeuchi; Megumu Yano; Miki Kurata; Bin Wu; Tsutomu Kazumi; Keisuke Fukuo Journal: BMJ Open Diabetes Res Care Date: 2020-09
Authors: Alexander Frenzel; Hans Binder; Nadja Walter; Kerstin Wirkner; Markus Loeffler; Henry Loeffler-Wirth Journal: NPJ Aging Mech Dis Date: 2020-03-24