OBJECTIVE: The homeostasis model assessment (HOMA), based on plasma levels of fasting glucose and insulin, has been widely validated and applied for quantifying insulin resistance and beta-cell function. However, prospective data regarding its relation to diabetes risk in ethnically diverse populations are limited. RESEARCH DESIGN AND METHODS: Among 82,069 women who were aged 50-79 years, free of cardiovascular disease or diabetes, and participating in the Women's Health Initiative Observational Study, we conducted a nested case-control study to prospectively examine the relations of HOMA of insulin resistance (HOMA-IR) and beta-cell function (HOMA-B) with diabetes risk. During a median follow-up period of 5.9 years, 1,584 diabetic patients were matched with 2,198 control subjects by age, ethnicity, clinical center, time of blood draw, and follow-up time. RESULTS: Baseline levels of fasting glucose, insulin, and HOMA-IR were each significantly higher among case compared with control subjects, while HOMA-B was lower (all P values <0.0001). After adjustment for matching factors and diabetes risk factors, all four markers were significantly associated with diabetes risk; the estimated relative risks per SD increment were 3.54 (95% CI 3.02-4.13) for fasting glucose, 2.25 (1.99-2.54) for fasting insulin, 3.40 (2.95-3.92) for HOMA-IR, and 0.57 (0.51-0.63) for HOMA-B. While no statistically significant multiplicative interactions were observed between these markers and ethnicity, the associations of both HOMA-IR and HOMA-B with diabetes risk remained significant and robust in each ethnic group, including whites, blacks, Hispanics, and Asians/Pacific Islanders. When evaluated jointly, the relations of HOMA-IR and HOMA-B with diabetes risk appeared to be independent and additive. HOMA-IR was more strongly associated with an increased risk than were other markers after we excluded those with fasting glucose > or = 126 mg/dl at baseline. CONCLUSIONS: High HOMA-IR and low HOMA-B were independently and consistently associated with an increased diabetes risk in a multiethnic cohort of U.S. postmenopausal women. These data suggest the value of HOMA indexes for diabetes risk in epidemiologic studies.
OBJECTIVE: The homeostasis model assessment (HOMA), based on plasma levels of fasting glucose and insulin, has been widely validated and applied for quantifying insulin resistance and beta-cell function. However, prospective data regarding its relation to diabetes risk in ethnically diverse populations are limited. RESEARCH DESIGN AND METHODS: Among 82,069 women who were aged 50-79 years, free of cardiovascular disease or diabetes, and participating in the Women's Health Initiative Observational Study, we conducted a nested case-control study to prospectively examine the relations of HOMA of insulin resistance (HOMA-IR) and beta-cell function (HOMA-B) with diabetes risk. During a median follow-up period of 5.9 years, 1,584 diabeticpatients were matched with 2,198 control subjects by age, ethnicity, clinical center, time of blood draw, and follow-up time. RESULTS: Baseline levels of fasting glucose, insulin, and HOMA-IR were each significantly higher among case compared with control subjects, while HOMA-B was lower (all P values <0.0001). After adjustment for matching factors and diabetes risk factors, all four markers were significantly associated with diabetes risk; the estimated relative risks per SD increment were 3.54 (95% CI 3.02-4.13) for fasting glucose, 2.25 (1.99-2.54) for fasting insulin, 3.40 (2.95-3.92) for HOMA-IR, and 0.57 (0.51-0.63) for HOMA-B. While no statistically significant multiplicative interactions were observed between these markers and ethnicity, the associations of both HOMA-IR and HOMA-B with diabetes risk remained significant and robust in each ethnic group, including whites, blacks, Hispanics, and Asians/Pacific Islanders. When evaluated jointly, the relations of HOMA-IR and HOMA-B with diabetes risk appeared to be independent and additive. HOMA-IR was more strongly associated with an increased risk than were other markers after we excluded those with fasting glucose > or = 126 mg/dl at baseline. CONCLUSIONS: High HOMA-IR and low HOMA-B were independently and consistently associated with an increased diabetes risk in a multiethnic cohort of U.S. postmenopausal women. These data suggest the value of HOMA indexes for diabetes risk in epidemiologic studies.
Authors: M Stumvoll; A Mitrakou; W Pimenta; T Jenssen; H Yki-Järvinen; T Van Haeften; W Renn; J Gerich Journal: Diabetes Care Date: 2000-03 Impact factor: 19.112
Authors: A Katsuki; Y Sumida; E C Gabazza; S Murashima; M Furuta; R Araki-Sasaki; Y Hori; Y Yano; Y Adachi Journal: Diabetes Care Date: 2001-02 Impact factor: 19.112
Authors: A Taniguchi; S Nagasaka; M Fukushima; M Sakai; I Nagata; K Doi; H Tanaka; M Yoneda; K Tokuyama; Y Nakai Journal: Diabetes Care Date: 2000-09 Impact factor: 19.112
Authors: Helaine E Resnick; Richard N Bergman; Jeffrey A Henderson; Patricia Nez-Henderson; Barbara V Howard Journal: Ethn Dis Date: 2002 Impact factor: 1.847
Authors: E Bonora; G Targher; M Alberiche; R C Bonadonna; F Saggiani; M B Zenere; T Monauni; M Muggeo Journal: Diabetes Care Date: 2000-01 Impact factor: 19.112
Authors: M Emoto; Y Nishizawa; K Maekawa; Y Hiura; H Kanda; T Kawagishi; T Shoji; Y Okuno; H Morii Journal: Diabetes Care Date: 1999-05 Impact factor: 19.112
Authors: Tatiana Helfenstein; Francisco A Fonseca; Sílvia S Ihara; Juliana M Bottós; Flávio T Moreira; Henrique Pott; Michel E Farah; Maria C Martins; Maria C Izar Journal: Int J Exp Pathol Date: 2011-02 Impact factor: 1.925
Authors: Ruth Blanco-Rojo; Juan F Alcala-Diaz; Suzan Wopereis; Pablo Perez-Martinez; Gracia M Quintana-Navarro; Carmen Marin; Jose M Ordovas; Ben van Ommen; Francisco Perez-Jimenez; Javier Delgado-Lista; Jose Lopez-Miranda Journal: Diabetologia Date: 2015-10-16 Impact factor: 10.122
Authors: Chun Chao; Yiqing Song; Nancy Cook; Chi-Hong Tseng; JoAnn E Manson; Charles Eaton; Karen L Margolis; Beatriz Rodriguez; Lawrence S Phillips; Lesley F Tinker; Simin Liu Journal: Arch Intern Med Date: 2010-09-27
Authors: Kevin C Oeffinger; Beverley Adams-Huet; Ronald G Victor; Timothy S Church; Peter G Snell; Andrea L Dunn; Debra A Eshelman-Kent; Robert Ross; Peter M Janiszewski; Alicia J Turoff; Sandra Brooks; Gloria Lena Vega Journal: J Clin Oncol Date: 2009-06-29 Impact factor: 44.544
Authors: Jin Xia; Wanzhu Tu; JoAnn E Manson; Hongmei Nan; Aladdin H Shadyab; Jennifer W Bea; Ting-Yuan D Cheng; Lifang Hou; Yiqing Song Journal: Am J Clin Nutr Date: 2020-08-01 Impact factor: 7.045
Authors: Margarita Santiago-Torres; Lesley F Tinker; Matthew A Allison; Kara L Breymeyer; Lorena Garcia; Candyce H Kroenke; Johanna W Lampe; James M Shikany; Linda Van Horn; Marian L Neuhouser Journal: J Nutr Date: 2015-10-21 Impact factor: 4.798
Authors: Brian H Chen; Kathleen Brennan; Atsushi Goto; Yiqing Song; Najib Aziz; Nai-chieh Y You; Melissa F Wellons; JoAnn E Manson; Donna L White; Anthony W Butch; Simin Liu Journal: Clin Chem Date: 2012-08-20 Impact factor: 8.327