Risk Assessment Using Two Different Diagnostic Tools: Metabolic Syndrome and Cardiovascular Risk Score (SCORE) - Data from a Weight Reduction Intervention Study

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Willers, J.; Hahn, A.: Risk Assessment Using Two Different Diagnostic Tools: Metabolic Syndrome and Cardiovascular Risk Score (SCORE) - Data from a Weight Reduction Intervention Study. In: Food and Nutrition Sciences 4 (2013), S. 1028-1036. DOI: https://doi.org/10.4236/fns.2013.410134

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Objective: Risk score models and the diagnosis of a metabolic syndrome are useful for cardiovascular (CV) risk prediction. The identification of individuals with high CV and metabolic risk is essential to provide appropriate prevention and therapy. The present study aims at clarifying whether these indicators are altered by a weight reduction programme. Additionally, which diagnostic tool has a better predictive value is examined. Method: One hundred and twenty overweight and obese subjects aged 30 60 years were included in a 12-week weight reduction programme. The CV risk was assessed by means of German multiple-used risk charts (SCORE) at baseline and at the end of the trial. Furthermore, the prevalence of the metabolic syndrome (three out of five risk factors) was quantified. Results: The initial prevalence of the metabolic syndrome was 63.3% (n = 76) and decreased to 41.7% (n = 50) by the end of the intervention. The SCORE also decreased significantly after twelve weeks (p < 0.001). The percentage of subjects at high risk (SCORE > 5%) was comparatively low (t0: 7.4%, n = 7; t12: 5.3%, n = 5). Conclusion: The weight reduction concept was applicable to improve the CV risk SCORE and decrease the prevalence of the metabolic syndrome. The CV 10-year risk calculated using German risk charts (SCORE) probably underestimated the risk of CV diseases in this collective. In this case, the diagnosis of a metabolic syndrome is more meaningful than risk SCORE calculations.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2013
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 104 67.97%
2 image of flag of United States United States 26 16.99%
3 image of flag of China China 6 3.92%
4 image of flag of Mexico Mexico 4 2.61%
5 image of flag of Moldova, Republic of Moldova, Republic of 2 1.31%
6 image of flag of Pakistan Pakistan 1 0.65%
7 image of flag of Netherlands Netherlands 1 0.65%
8 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 0.65%
9 image of flag of Israel Israel 1 0.65%
10 image of flag of Brazil Brazil 1 0.65%
    other countries 6 3.92%

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