Ravi V Shah1, Venkatesh L Murthy2, Siddique A Abbasi3, Ron Blankstein3, Raymond Y Kwong3, Allison B Goldfine4, Michael Jerosch-Herold3, João A C Lima5, Jingzhong Ding6, Matthew A Allison7. 1. Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts. 2. Department of Medicine (Cardiovascular Medicine Division) and Department of Radiology (Nuclear Medicine and Cardiothoracic Imaging Divisions), University of Michigan, Ann Arbor, Michigan. Electronic address: vlmurthy@med.umich.edu. 3. Non-Invasive Cardiovascular Imaging, Brigham and Women's Hospital, Boston, Massachusetts. 4. Joslin Diabetes Center, Boston, Massachusetts. 5. Division of Cardiology, Johns Hopkins Medical Institute, Baltimore, Maryland. 6. Department of Medicine, Wake Forest Baptist Medical Center, Winston-Salem, North Carolina. 7. Department of Family and Preventative Medicine, University of California-San Diego, San Diego, California.
Abstract
OBJECTIVES: This study sought to evaluate differential effects of visceral fat (VF) and subcutaneous fat and their effects on metabolic syndrome (MetS) risk across body mass index (BMI) categories. BACKGROUND: The regional distribution of adipose tissue is an emerging risk factor for cardiometabolic disease, although serial changes in fat distribution have not been extensively investigated. VF and its alterations over time may be a better marker for risk than BMI in normal weight and overweight or obese individuals. METHODS: We studied 1,511 individuals in the MESA (Multi-Ethnic Study of Atherosclerosis) with adiposity assessment by computed tomography (CT). A total of 253 participants without MetS at initial scan underwent repeat CT (median interval 3.3 years). We used discrete Cox regression with net reclassification to investigate whether baseline and changes in VF area are associated with MetS. RESULTS: Higher VF was associated with cardiometabolic risk and coronary artery calcification, regardless of BMI. After adjustment, VF was more strongly associated with incident MetS than subcutaneous fat regardless of weight, with a 28% greater MetS hazard per 100 cm(2)/m VF area and significant net reclassification (net reclassification index: 0.44, 95% confidence interval [CI]: 0.29 to 0.60) over clinical risk. In individuals with serial imaging, initial VF (hazard ratio: 1.24 per 100 cm(2)/m, 95% CI: 1.08 to 1.44 per 100 cm(2)/m, p = 0.003) and change in VF (hazard ratio: 1.05 per 5% change, 95% CI: 1.01 to 1.08 per 5% change, p = 0.02) were associated with MetS after adjustment. Changes in subcutaneous fat were not associated with incident MetS after adjustment for clinical risk and VF area. CONCLUSIONS: VF is modestly associated with BMI. However, across BMI, a single measure of and longitudinal change in VF predict MetS, even accounting for weight changes. Visceral adiposity is essential to assessing cardiometabolic risk, regardless of age, race, or BMI, and may serve as a marker and target of therapy in cardiometabolic disease.
OBJECTIVES: This study sought to evaluate differential effects of visceral fat (VF) and subcutaneous fat and their effects on metabolic syndrome (MetS) risk across body mass index (BMI) categories. BACKGROUND: The regional distribution of adipose tissue is an emerging risk factor for cardiometabolic disease, although serial changes in fat distribution have not been extensively investigated. VF and its alterations over time may be a better marker for risk than BMI in normal weight and overweight or obese individuals. METHODS: We studied 1,511 individuals in the MESA (Multi-Ethnic Study of Atherosclerosis) with adiposity assessment by computed tomography (CT). A total of 253 participants without MetS at initial scan underwent repeat CT (median interval 3.3 years). We used discrete Cox regression with net reclassification to investigate whether baseline and changes in VF area are associated with MetS. RESULTS: Higher VF was associated with cardiometabolic risk and coronary artery calcification, regardless of BMI. After adjustment, VF was more strongly associated with incident MetS than subcutaneous fat regardless of weight, with a 28% greater MetS hazard per 100 cm(2)/m VF area and significant net reclassification (net reclassification index: 0.44, 95% confidence interval [CI]: 0.29 to 0.60) over clinical risk. In individuals with serial imaging, initial VF (hazard ratio: 1.24 per 100 cm(2)/m, 95% CI: 1.08 to 1.44 per 100 cm(2)/m, p = 0.003) and change in VF (hazard ratio: 1.05 per 5% change, 95% CI: 1.01 to 1.08 per 5% change, p = 0.02) were associated with MetS after adjustment. Changes in subcutaneous fat were not associated with incident MetS after adjustment for clinical risk and VF area. CONCLUSIONS:VF is modestly associated with BMI. However, across BMI, a single measure of and longitudinal change in VF predict MetS, even accounting for weight changes. Visceral adiposity is essential to assessing cardiometabolic risk, regardless of age, race, or BMI, and may serve as a marker and target of therapy in cardiometabolic disease.
Authors: Tomoshige Hayashi; Edward J Boyko; Donna L Leonetti; Marguerite J McNeely; Laura Newell-Morris; Steven E Kahn; Wilfred Y Fujimoto Journal: Diabetes Care Date: 2003-03 Impact factor: 19.112
Authors: Caroline S Fox; Joseph M Massaro; Udo Hoffmann; Karla M Pou; Pal Maurovich-Horvat; Chun-Yu Liu; Ramachandran S Vasan; Joanne M Murabito; James B Meigs; L Adrienne Cupples; Ralph B D'Agostino; Christopher J O'Donnell Journal: Circulation Date: 2007-06-18 Impact factor: 29.690
Authors: Diane E Bild; David A Bluemke; Gregory L Burke; Robert Detrano; Ana V Diez Roux; Aaron R Folsom; Philip Greenland; David R Jacob; Richard Kronmal; Kiang Liu; Jennifer Clark Nelson; Daniel O'Leary; Mohammed F Saad; Steven Shea; Moyses Szklo; Russell P Tracy Journal: Am J Epidemiol Date: 2002-11-01 Impact factor: 4.897
Authors: Mingxia Yuan; Fang-Chi Hsu; Donald W Bowden; Jianzhao Xu; S Carrie Smith; Lynne E Wagenknecht; Mary E Comeau; Jasmin Divers; Thomas C Register; J Jeffrey Carr; Carl D Langefeld; Barry I Freedman Journal: Obesity (Silver Spring) Date: 2016-06-29 Impact factor: 5.002
Authors: Shakun Karki; Melissa G Farb; Doan T M Ngo; Samantha Myers; Vishwajeet Puri; Naomi M Hamburg; Brian Carmine; Donald T Hess; Noyan Gokce Journal: Arterioscler Thromb Vasc Biol Date: 2015-04-23 Impact factor: 8.311
Authors: Sina Kianoush; Andrew P DeFilippis; Carlos J Rodriguez; Mahmoud Al Rifai; Emelia J Benjamin; Michael E Hall; Pamela Ouyang; Matthew A Allison; Michael J Blaha Journal: Ethn Dis Date: 2018-10-18 Impact factor: 1.847
Authors: Elizabeth M Cespedes Feliciano; Wendy Y Chen; Patrick T Bradshaw; Carla M Prado; Stacey Alexeeff; Kathleen B Albers; Adrienne L Castillo; Bette J Caan Journal: J Clin Oncol Date: 2019-08-01 Impact factor: 44.544
Authors: S A Abbasi; W G Hundley; D A Bluemke; M Jerosch-Herold; R Blankstein; Steffen E Petersen; Oliver J Rider; J A C Lima; M A Allison; V L Murthy; R V Shah Journal: Nutr Metab Cardiovasc Dis Date: 2015-04-16 Impact factor: 4.222