Association Between Body Size Phenotypes and Subclinical Atherosclerosis

Author:

Rossello Xavier123ORCID,Fuster Valentin14ORCID,Oliva Belén1,Sanz Javier14,Fernández Friera Leticia A156ORCID,López-Melgar Beatriz156,Mendiguren José María7,Lara-Pezzi Enrique1,Bueno Héctor189,Fernández-Ortiz Antonio110,Ibanez Borja1211ORCID,Ordovás José María1213ORCID

Affiliation:

1. Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

2. CIBER de Enfermedades CardioVasculares (CIBERCV), Madrid, Spain

3. Cardiology Department, Health Research Institute of the Balearic Islands (IdISBa), Hospital Universitari Son Espases, Palma, Spain

4. Icahn School of Medicine at Mount Sinai, New York, New York

5. Hospital Universitario HM Montepríncipe-CIEC, Madrid, Spain

6. Universidad CEU San Pablo, Madrid, Spain

7. Banco de Santander, Madrid, Spain

8. Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 deOctubre (imas12), Madrid, Spain

9. Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain

10. Hospital Clínico San Carlos, Universidad Complutense, IdISSC, Madrid, Spain

11. IIS-Fundación Jiménez Díaz University Hospital, Madrid, Spain

12. U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts

13. IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain

Abstract

Abstract 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 (OB; 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% CI, 1.33-1.93), 1.92 (95% CI, 1.48-2.50), and 2.27 (95% CI, 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.

Funder

Centro Nacional de Investigaciones Cardiovasculares

Banco Santander

Instituto de Salud Carlos III

European Regional Development Fund

Severo Ochoa Center of Excellence

Ministerio de Ciencia e Innovación

Pro CNIC Foundation

Publisher

The Endocrine Society

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism

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