Marshall J Glesby1, David B Hanna2, Donald R Hoover3, Qiuhu Shi4, Michael T Yin5, Phyllis C Tien6, Mardge Cohen7, Kathryn Anastos2,8, Anjali Sharma8. 1. Department of Medicine, Weill Cornell Medical College, New York. 2. Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York. 3. Department of Statistics and Biostatistics and Institute for Health, Healthcare Policy and Aging Research, Rutgers the State University of New Jersey, New Brunswick, New Jersey. 4. Department of Epidemiology and Community Health, School of Health Sciences and Practice, New York Medical College, Valhalla. 5. Department of Medicine, Columbia University, New York. 6. Department of Medicine, University of California-San Francisco and the Department of Veterans Affairs, San Francisco, California. 7. Department of Medicine, John H. Stroger, Jr Hospital of Cook County, Chicago, Illinois. 8. Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.
Abstract
OBJECTIVE: The aim of this study was to determine the associations between visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT) mass with homeostatic model assessment-insulin resistance (HOMA-IR) and incidence of diabetes mellitus in women with and without HIV infection. DESIGN: Cross-sectional design for associations between abdominal fat and HOMA-IR; longitudinal design for associations between abdominal fat and incident diabetes. METHODS: We assessed associations between dual X-ray absorptiometry scan-derived VAT and SAT with HOMA-IR in a subsample from the Women's Interagency HIV Study (n = 226 with and n = 100 without HIV) using linear regression. We evaluated associations of VAT, SAT and HOMA-IR with incident diabetes mellitus using Cox proportional hazards models. RESULTS: VAT mass was positively associated with log HOMA-IR in fully adjusted linear regression models stratified by HIV serostatus, including adjustment for SAT. During median follow-up of 10.6 years, incidence of diabetes was 1.63 [95% confidence interval (95% CI) 1.15-2.31] and 1.32 [95% CI 0.77-2.28] cases per 100 person-years in women with and without HIV (P = 0.52). In a fully adjusted model, baseline VAT (hazard ratio 2.64 per kg; 95% CI 1.14-6.12; P = 0.023) and SAT (hazard ratio 1.34 per kg; 95% CI 0.73-2.45; P = 0.35) were associated with incident diabetes, but the latter was not statistically significant. CONCLUSION: VAT mass was independently associated with HOMA-IR in women with and without HIV and was independently associated with future development of diabetes.
OBJECTIVE: The aim of this study was to determine the associations between visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT) mass with homeostatic model assessment-insulin resistance (HOMA-IR) and incidence of diabetes mellitus in women with and without HIV infection. DESIGN: Cross-sectional design for associations between abdominal fat and HOMA-IR; longitudinal design for associations between abdominal fat and incident diabetes. METHODS: We assessed associations between dual X-ray absorptiometry scan-derived VAT and SAT with HOMA-IR in a subsample from the Women's Interagency HIV Study (n = 226 with and n = 100 without HIV) using linear regression. We evaluated associations of VAT, SAT and HOMA-IR with incident diabetes mellitus using Cox proportional hazards models. RESULTS: VAT mass was positively associated with log HOMA-IR in fully adjusted linear regression models stratified by HIV serostatus, including adjustment for SAT. During median follow-up of 10.6 years, incidence of diabetes was 1.63 [95% confidence interval (95% CI) 1.15-2.31] and 1.32 [95% CI 0.77-2.28] cases per 100 person-years in women with and without HIV (P = 0.52). In a fully adjusted model, baseline VAT (hazard ratio 2.64 per kg; 95% CI 1.14-6.12; P = 0.023) and SAT (hazard ratio 1.34 per kg; 95% CI 0.73-2.45; P = 0.35) were associated with incident diabetes, but the latter was not statistically significant. CONCLUSION: VAT mass was independently associated with HOMA-IR in women with and without HIV and was independently associated with future development of diabetes.
Authors: Susana Araujo; Sara Bañón; Isabel Machuca; Ana Moreno; María J Pérez-Elías; José L Casado Journal: Eur J Endocrinol Date: 2014-08-12 Impact factor: 6.664
Authors: Grace A McComsey; Carlee Moser; Judith Currier; Heather J Ribaudo; Pawel Paczuski; Michael P Dubé; Theodoros Kelesidis; Jennifer Rothenberg; James H Stein; Todd T Brown Journal: Clin Infect Dis Date: 2016-01-20 Impact factor: 9.079
Authors: Michael I Brener; Wendy S Post; Sabina A Haberlen; Long Zhang; Frank J Palella; Lisa P Jacobson; Adrian S Dobs; Richard T George; Mallory D Witt; Matthew Budoff; Lawrence A Kingsley; Todd T Brown Journal: Am J Cardiol Date: 2015-12-31 Impact factor: 2.778
Authors: Alfonso C Hernandez-Romieu; Shikha Garg; Eli S Rosenberg; Angela M Thompson-Paul; Jacek Skarbinski Journal: BMJ Open Diabetes Res Care Date: 2017-01-05
Authors: Robert S Rosenson; Demetria Hubbard; Keri L Monda; Stephanie R Reading; Ligong Chen; Paul J Dluzniewski; Greer A Burkholder; Paul Muntner; Lisandro D Colantonio Journal: J Am Heart Assoc Date: 2019-12-27 Impact factor: 5.501