Is there a Bene fi t to Use Calculated Percent Body Fat or Age - and Gender - adjusted BMI - SDS LMS to Predict Risk Factors for Cardiovascular Disease ? A German / Austrian Multicenter DPV - Wiss

نویسنده

  • R. W. Holl
چکیده

▼ Objective: In clinical practice Body Mass Index is generally used to evaluate overweight status in adults. The present multicenter study examines whether Body Mass Index (BMI), ageand gender-adjusted Body Mass Index Standard Deviation Score, or calculated %body fat is a better predictor for cardiovascular disease risk factors, specifi cally hypertension and dyslipidemia, in a high-risk population. Methods: Data of 42 048 adult type 2 diabetic patients (median age: 67.1 years) from 161 centers in Germany (n = 158) and Austria (n = 3) registered in a standardized, prospective, computer-based documentation program, were included in the study. For each patient body weight, height, blood pressure and blood lipids were documented. Spearman correlation analyses as well as multivariable logistic regression models were used to examine the relationship between anthropometric measurements and cardiovascular disease risk factors. Results: Correlation and regression analyses revealed minor, non signifi cant diff erences between the 3 anthropometric measurements (all p > 0.05). In both genders, relationships between anthropometric measurements and hypertension or reduced HDL-cholesterol were nearly identical. Only for increased triglycerides, the relations with the 3 anthropometric measurements were signifi cantly stronger in males than in females (p < 0.0001, respectively). With increasing age, associations between anthropometric measurements and hypertension, reduced HDL-cholesterol or increased triglycerides became weaker. Spearman correlation coeffi cients for total cholesterol and LDL-cholesterol revealed weak associations with the 3 anthropometric measurements. Conclusion: Compared to Body Mass Index, ageand gender-adjusted Body Mass Index Standard Deviation Score, or calculation of %body fat, has no further benefi t to predict cardiovascular disease risk factors in adult type 2 diabetic patients. Affi liations Affi liation addresses are listed at the end of the article

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تاریخ انتشار 2013