Why the study?
The association structure between specific metabolic syndrome risk factors and carotid intima-media thickness is not well-established in rural populations.
Does metabolic syndrome and its individual components associate with increased carotid intima-media thickness in a rural population?
Does metabolic syndrome and its individual components associate with increased carotid intima-media thickness in a rural population?
In a rural Brazilian population, hypertension, diabetes, and obesity are the primary drivers of increased carotid intima-media thickness, whereas lipid levels do not show an independent association.
Answers are grounded in this paper and cite their sources.
MetS components BP, obesity, and glucose were associated with higher cIMT in rural adults; hypothesis-generating, needs prospective confirmation before practice implications.
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. 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.
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Geovanini et al. (2020) studied this question.
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