International Journal of Cardiology. Hypertension | |
Carotid intima-media thickness and metabolic syndrome in a rural population: Results from the Baependi Heart Study | |
Samantha Kuwada Teixeira1  Iguaracy Pinheiro de Sousa2  Alexandre Costa Pereira3  Guilherme Ciconelli Del Guerra4  Glaucylara Reis Geovanini5  Luz Marina Gómez Gómez5  Miguel José Francisco Neto5  Jose Eduardo Krieger5  | |
[1] Corresponding author. Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, Av Dr Eneas de Carvalho Aguiar, nº44, bloco 2, 10th floor, Cerqueira Cesar, São Paulo, SP, 05403-000, Brazil.;HCor Research Institute-Hospital do Coracão (HCor), São Paulo, SP, Brazil;Institute of Radiology – InRad, Medical School, University of São Paulo – USP, São Paulo, Brazil;Department of Imaging of Hospital Israelita Albert Einstein – HIAE, São Paulo, Brazil;Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil; | |
关键词: Carotid intima-media thickness; cIMT; Carotid ultrasound; Subclinical atherosclerosis; Baependi Heart Study; MetS; | |
DOI : | |
来源: DOAJ |
【 摘 要 】
Background and aims: Carotid intima-media thickness (cIMT) is a strong predictor of cardiovascular events and associated with metabolic syndrome (MetS). MetS is a cluster of cardiovascular risk factors, but the association structure between specific factors and disease development is not well-established in rural populations. We described the association structure between MetS factors and cIMT in a sample from rural Brazil. Methods: We studied 1937 participants from the Baependi Heart Study who underwent carotid ultrasound exam. We used ATP–III–2001 for MetS definition and linear mixed-effects models, adjusting by the family structure, to assess independent associations between the cardiovascular risk factors which define MetS and cIMT. Results: The sample's mean age was 46 ± 16y, 61% female, 73% white, mean body-mass-index 26±5 kg/m2, mean cIMT 0.53 ± 0.16 mm, with 35% of the sample classified with MetS. As expected, cIMT demonstrated a linear relationship with increasing age, and cIMT higher values were observed for MetS (0.58 ± 0.16 mm) compared to non-MetS (0.49 ± 0.14 mm). Considering models for cIMT with MetS and all of its factors, we found that blood pressure, glucose and obesity were independently associated with cIMT, but not HDL or triglycerides. Conclusions: cIMT showed a linear relationship with increasing age. Blood pressure, obesity, and glucose were independently associated with cIMT, but not HDL-cholesterol or triglycerides. In a rural population, hypertension, diabetes and obesity play a more important role than lipids in determining cIMT interindividual variability.
【 授权许可】
Unknown