ArticleSpringerPlus2015
Dissecting metabolic syndrome components: data from an epidemiologic survey in a genetic isolate.
Article in SpringerPlus, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Predicting New-Onset Diabetes Mellitus by Component Combinations of Premorbid Metabolic Syndrome among Older Adults in Taiwan.The journal of nutrition, health & aging · 2020Article
- Estimation of metabolic syndrome heritability in three large populations including full pedigree and genomic information.Human genetics · 2019Article
- The dynamic behaviour of metabolic syndrome and its components in an eight-year population-based cohort from the Mediterranean.PloS one · 2017Article
- Metabolic Syndrome Presenting as Abdominal Pain.Saudi journal of medicine & medical sciencesArticle
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Authors and funding
10 authors.
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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.
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