Carotid intima-media thickness and metabolic syndrome in a rural population: Results from the Baependi Heart Study.

Autor:	Geovanini GR; Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil.; HCor Research Institute-Hospital do Coracão (HCor), São Paulo, SP, Brazil., Pinheiro de Sousa I; Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil., Teixeira SK; Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil., Francisco Neto MJ; Department of Imaging of Hospital Israelita Albert Einstein - HIAE, São Paulo, Brazil.; Institute of Radiology - InRad, Medical School, University of São Paulo - USP, São Paulo, Brazil., Gómez Gómez LM; Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil., Del Guerra GC; Department of Imaging of Hospital Israelita Albert Einstein - HIAE, São Paulo, Brazil., Pereira AC; Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil., Krieger JE; Genetics and Molecular Cardiology Laboratory at InCor-Heart Institute, Medical School, University of São Paulo-USP, São Paulo, SP, Brazil.
Jazyk:	angličtina
Zdroj:	International Journal of Cardiology. Hypertension [Int J Cardiol Hypertens] 2020 Jul 22; Vol. 6, pp. 100043. Date of Electronic Publication: 2020 Jul 22 (Print Publication: 2020).
DOI:	10.1016/j.ijchy.2020.100043
Abstrakt:	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/m 2 , 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. Competing Interests: This was not an industry supported study. The authors have indicated no financial conflicts of interest. (© 2020 The Authors.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu