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. 2015 Jul 7:4:324.
doi: 10.1186/s40064-015-1049-9. eCollection 2015.

Dissecting metabolic syndrome components: data from an epidemiologic survey in a genetic isolate

Ginevra Biino  1 , Maria Pina Concas  2 , Hellas Cena  3 , Debora Parracciani  4 , Simona Vaccargiu  2 , Massimiliano Cosso  2 , Francesca Marras  2 , Vittoria D'Esposito  5 , Francesco Beguinot  6 , Mario Pirastu  2
Affiliations

Dissecting metabolic syndrome components: data from an epidemiologic survey in a genetic isolate

Ginevra Biino et al. Springerplus. .

Abstract

The metabolic syndrome (MetS) is a large-scale and expanding public-health and clinical threat worldwide. We investigated the determinants of MetS, assessed its prevalence and components and, estimated their genetic contribution, taking advantage of the special characteristics of Sardinian isolated populations. Inhabitants of 10 villages in Ogliastra region participated in a cross-sectional survey in 2002-2008 (n = 9,647). Blood samples, blood pressure (BP), anthropometry and, data from a standardized interview were collected. Prevalence of MetS was estimated by the direct method of standardization. Variables associated with the MetS were identified using multilevel logistic regression. Heritability was determined using variance component models. MetS Prevalence was 19.6% (95% CI 18.9-20.4%) according to NCEP-ATPIII, 24.8% (95% CI 24.0-25.6%) according to IDF and, 29% (95% CI 28.1-29.8%) according to AHA/NHLBI harmonized criteria, ranging from 9 to 26% among villages. The most prevalent combination was BP + HDL-cholesterol (HDL) + triglycerides (TRIG) (19%), followed by BP + HDL + waist circumference (WAIST) (17%) and, BP + HDL + TRIG + WAIST (13.6%). Heritability of MetS was 48% (p = 1.62 × 10(-25)), as the two most common combinations (BP + HDL + TRIG and BP + HDL + WAIST) showed heritability of 53 and 52%, respectively. The larger genetic components of the two most frequent combinations determining MetS deserve greater investigation in order to understand the underlying mechanisms. Besides, further studies are warranted to confirm these findings both in isolated and outbred populations.

Keywords: Component; Environmental; Genetic; Metabolic syndrome; Prevalence.

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Figures

Figure 1
Figure 1
Prevalence of the metabolic syndrome by village according to NCEP-ATPIII. Bars are 95% CI.
Figure 2
Figure 2
Prevalence of MetS components’ combinations by village. Bars are 95% CI. Percentages in brackets represent prevalence of specific combinations over subjects affected by MetS. Prevalences on y axis are computed over the entire sample adjusting for age and sex.
See this image and copyright information in PMC

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