Association Between Body Size Phenotypes and Subclinical Atherosclerosis

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 d...

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Detalles Bibliográficos
Autores: Rossello, Xavier, Fuster, Valentin, Oliva, Belen, Sanz, Javier, Fernandez-Friera, Leticia, Lopez-Melgar, Beatriz, Mendiguren, Jose M, Lara-Pezzi, Enrique, Bueno, Hector, Fernandez-Ortiz, Antonio, Ibáñez, Borja, Ordovas, Jose M
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:inglés
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/11189
Acceso en línea:http://hdl.handle.net/20.500.12105/11189
Access Level:acceso abierto
Palabra clave:Body size phenotypes
Obesity
Subclinical atherosclerosis
Estudios de Cohortes
Enfermedades Asintomáticas
Prevalencia
Tamaño Corporal
Femenino
Masculino
Aterosclerosis
Estudios Transversales
Factores de Riesgo
Humanos
Persona de Mediana Edad
Fenotipo
Adulto
España
Spain
Adult
Humans
Body Size
Middle Aged
Cross-Sectional Studies
Asymptomatic Diseases
Phenotype
Male
Female
Risk Factors
Atherosclerosis
Cohort Studies
Prevalence
Cardiovascular risk
Descripción
Sumario: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.