Literature DB >> 18648725

The correlation between waist circumference and ESC cardiovascular risk score: data from the German metabolic and cardiovascular risk project (GEMCAS).

Heribert Schunkert1, Susanne Moebus, Jens Hanisch, Peter Bramlage, Elisabeth Steinhagen-Thiessen, Hans Hauner, Joachim Weil, Jürgen Wasem, Karl-Heinz Jöckel.   

Abstract

BACKGROUND: Identification of patients with high cardiovascular risk, an immanent task of primary care physicians, is laborious, cost intensive and thus difficult to perform. Waist circumference (WC), given its association with multiple risk factors, is an easy to use tool for initial assessment of cardiovascular risk, but its predictive validity in primary care has not been assessed. PATIENTS AND METHODS: In 2005 a nationwide sample of 35,869 unselected patients visiting a primary care physician was screened. The global cardiovascular risk using the SCORE Score of the European Society of Cardiology was assessed in 10,323 men (aged 35-65) and 18,852 women (45-65). Logistic regressions and Spearman correlations were used to evaluate the interdependence of WC and cardiovascular risk factors as well as the estimated cardiovascular risk.
RESULTS: Of these unselected patients 21.9% had an increased WC (women >80-88, men >94-102 cm) and further 36.5% had a high WC (women >88, men >102 cm). The proportion of patients with a low HDL-cholesterol was higher in high WC compared to normal WC (prevalence rate ratio (PRR) 1.88 [95%CI 1.74-2.02] in men and 2.97 [2.75-3.21] in women). The same applied to elevated triglycerides (PRR 1.72 [1.62-1.84] and 2.57 [2.36-2.80], respectively), impaired fasting glucose (PRR 2.30 [2.13-2.49] and 3.66 [3.29-4.06]), and elevated blood pressure (PRR 1.27 [1.23-1.30] and 1.57 [1.52-1.62]), respectively. The estimated risk to die from cardiovascular events within 10 years based on the SCORE scoring scheme increased with increasing WC (age adjusted rho 0.18 in women and 0.19 in men). A SCORE score of more than 5% was observed in 24.12% of men (age adjusted PRR 1.27, 95%CI 1.12; 1.44) and 3.19% of women (age adjusted PRR 1.77, 95%CI 1.26;2.49) with a high WC as compared to 10.88% of men and 0.95% of women with a normal WC. Particularly, in the age groups 50-59 years (men, 11.1%) and 60-65 years (women, 10.2%) a high WC identified more frequently patients with a SCORE result necessitating action (>5% risk) than in lean men (3.52%, P < 0.0001) and women (4.32%, P < 0.0001).
CONCLUSIONS: Routine measurement of waist circumference in primary care attendees is a suitable screening tool to identify patients with high cardiovascular risk in which a further diagnostic workup is necessary. Current cut-off values reflect a higher risk threshold in men than in women. Future research should identify new thresholds based on cardiovascular risk burden.

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Year:  2008        PMID: 18648725     DOI: 10.1007/s00392-008-0694-1

Source DB:  PubMed          Journal:  Clin Res Cardiol        ISSN: 1861-0684            Impact factor:   5.460


  23 in total

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Authors:  B Isomaa; P Almgren; T Tuomi; B Forsén; K Lahti; M Nissén; M R Taskinen; L Groop
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Review 6.  Gender differences in the metabolic syndrome and their role for cardiovascular disease.

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2.  Overweight, obesity and high waist circumference: regional differences in prevalence in primary medical care.

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3.  Artifactual measurement of low serum HDL-cholesterol due to paraproteinemia.

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Journal:  Clin Res Cardiol       Date:  2010-07-01       Impact factor: 5.460

4.  Effects of eight weeks of aerobic interval training and of isoinertial resistance training on risk factors of cardiometabolic diseases and exercise capacity in healthy elderly subjects.

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5.  Metabolic Syndrome in an Aging Society - Role of Oxidant-Antioxidant Imbalance and Inflammation Markers in Disentangling Atherosclerosis.

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6.  Waist circumference and insulin resistance in elderly men: an analysis of Kahrizak elderly study.

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7.  Obesity and associated lifestyle in a large sample of multi-morbid German primary care attendees.

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8.  Effect of Endurance and Strength Training on the Slow Component of O 2 Kinetics in Elderly Humans.

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  8 in total

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