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Atherosclerosis 2014-Aug

Prevalence of atherogenic dyslipidemia: association with risk factors and cardiovascular risk in Spanish working population. "ICARIA" study.

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M Cabrera
M A Sánchez-Chaparro
P Valdivielso
L Quevedo-Aguado
C Catalina-Romero
C Fernández-Labandera
M Ruiz-Moraga
P González-Santos
E Calvo-Bonacho
ICARIA (Ibermutuamur CArdiovascular RIsk Assesment) Study Group

Ключевые слова

абстрактный

OBJECTIVE

The aim of this study was to assess the prevalence of atherogenic dyslipidemia (AD) and the lipid triad (LT) in the working population in Spain, their associated variables and how far they are linked to cardiovascular risk (CVR).

METHODS

Observational cross-sectional study of 70,609 workers (71.5% male (M), 28.5% female (F), mean age 39.2 ± 10), who attended medical checkups and agreed to participate. Plasma samples were analysed in a central laboratory. AD definition used was: triglycerides ≥150 mg/dl and HDL cholesterol <40 mg/dl (M)/<50 mg/dl (F) and LT when LDL cholesterol > 160 mg/dl is further added. Univariate comparisons in the absence and presence of AD and LT and the probability of AD according to different parameters and their possible association with CVR were assessed. CVR was stratified following the European SCORE model for low risk-population.

RESULTS

5.7% (95% CI 4.7-6.9) of the working population have AD and 1.1% (95% CI 1.0-1.2) LT. In univariate analysis, workers with AD and LT had a higher prevalence of obesity, hypertension, smoking and diabetes than those who had not (p < 0.001). In multivariate analysis, BMI, sex, age 40-49, diabetes, tobacco, uric acid, LDL or blood pressure significantly influenced the risk of AD. AD was significantly associated with CVR after adjusting for alcohol and obesity. However, most of the AD subjects (91.8%) were classified as low risk.

CONCLUSIONS

About 6% of the working population in Spain meets AD criteria. Assuming that these subjects have increased CVR, AD allows to identify additional 5% of subjects with increased CVR to that one the SCORE model detects, helping to improve cardiovascular risk stratification.

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