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oai:repisalud.isciii.es:20.500.12105/111892024-11-28T15:51:47Zcom_20.500.12105_19604com_20.500.12105_2051com_20.500.12105_15322col_20.500.12105_19605col_20.500.12105_16938col_20.500.12105_16967col_20.500.12105_16969col_20.500.12105_16977

00925njm 22002777a 4500 dc Rossello, Xavier author Fuster, Valentin author Oliva, Belen author Sanz, Javier author Fernandez-Friera, Leticia author Lopez-Melgar, Beatriz author Mendiguren, Jose M author Lara-Pezzi, Enrique author Bueno, Hector author Fernandez-Ortiz, Antonio author Ibáñez, Borja author Ordovas, Jose M author 2020-12-01 Context: The underlying relationship between body mass index (BMI), cardiometabolic disorders, and subclinical atherosclerosis is poorly understood. Objective: To evaluate the association between body size phenotypes and subclinical atherosclerosis. Design: Cross-sectional. Setting: Cardiovascular disease-free cohort. Participants: Middle-aged asymptomatic subjects (n = 3909). A total of 6 cardiometabolic body size phenotypes were defined based on the presence of at least 1 cardiometabolic abnormality (blood pressure, fasting blood glucose, triglycerides, low high-density lipoprotein cholesterol, homeostasis model assessment-insulin resistance index, high-sensitivity C-reactive protein) and based on BMI: normal-weight (NW; BMI <25), overweight (OW; BMI = 25.0-29.9) or obese (08; BMI >30.0). Main Outcome Measures: Subclinical atherosclerosis was evaluated by 2D vascular ultrasonography and noncontrast cardiac computed tomography. Results: For metabolically healthy subjects, the presence of subclinical atherosclerosis increased across BMI categories (49.6%, 58.0%, and 67.7% for NW, OW, and OB, respectively), whereas fewer differences were observed for metabolically unhealthy subjects (61.1%, 69.7%, and 70.5%, respectively). When BMI and cardiometabolic abnormalities were assessed separately, the association of body size phenotypes with the extent of subclinical atherosclerosis was mostly driven by the coexistence of cardiometabolic risk factors: adjusted OR = 1.04 (95% confidence interval [CI), 0.90-1.19) for OW and OR = 1.07 (95% CI, 0.88-1.30) for OB in comparison with NW, whereas there was an increasing association between the extent of subclinical atherosclerosis and the number of cardiometabolic abnormalities: adjusted OR = 1.21 (95% CI, 1.05-1.40),1.60 (95% Cl, 1.33-1.93), 1.92 (95% CI, 1.48-2.50), and 2.27 (95% Cl, 1.67-3.09) for 1, 2, 3, and >3, respectively, in comparison with noncardiometabolic abnormalities. Conclusions: The prevalence of subclinical atherosclerosis varies across body size phenotypes. Pharmacologic and lifestyle interventions might modify their cardiovascular risk by facilitating the transition from one phenotype to another. J Clin Endocrinol Metab. 2020; 105(12):dgaa620 10.1210/clinem/dgaa620 1945-7197 The Journal of clinical endocrinology and metabolism http://hdl.handle.net/20.500.13003/15219 32879953 L2010072475 2-s2.0-85092120313 http://hdl.handle.net/20.500.12105/11189 584547800050 Body size phenotypes Obesity Subclinical atherosclerosis Association Between Body Size Phenotypes and Subclinical Atherosclerosis