Artigo Acesso aberto Produção Nacional

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

2020; Elsevier BV; Volume: 6; Linguagem: Inglês

10.1016/j.ijchy.2020.100043

ISSN

2590-0862

Autores

Glaucylara Reis Geovanini, Iguaracy Pinheiro‐de‐Sousa, Samantha K. Teixeira, Miguel José Francisco Neto, Luz Marina Gómez Gómez, Guilherme Ciconelli Del Guerra, Alexandre C. Pereira, José Eduardo Krieger,

Tópico(s)

Blood Pressure and Hypertension Studies

Resumo

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.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.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.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.

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