Is there a Benefit to Use Calculated Percent Body Fat or Age- and Gender-adjusted BMI-SDSLMS to Predict Risk Factors for Cardiovascular Disease? A German/Austrian Multicenter DPV-Wiss Analysis on 42 048 Type 2 Diabetic Patients

N. Scheuing; C. Bayer; F. Best; W. Kerner; T. Lenk; M. Pfeifer; D. Rühl; M. Schütt; E. Siegel; M. Stadler; A. Zeyfang; S. Zimny; R. W. Holl; for the DPV Initiative and the German BMBF ­Competence Network Diabetes mellitus

doi:10.1055/s-0032-1333243

Experimental and Clinical Endocrinology & Diabetes, Table of Contents

Exp Clin Endocrinol Diabetes 2013; 121(02): 67-74
DOI: 10.1055/s-0032-1333243

Article

Is there a Benefit 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 Analysis on 42 048 Type 2 Diabetic Patients

N. Scheuing

¹Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany

,

C. Bayer

²Department of Internal Medicine, Hospital Rosenheim, Rosenheim, Germany

,

F. Best

³Diabetes Practice Dr. Best, Essen, Germany

,

W. Kerner

⁴Department of Internal Medicine, Hospital for Metabolism and Diabetes Karlsburg, Karlsburg, Germany

,

T. Lenk

⁵Curschmann Hospital Dr. Guth, Timmendorfer Strand, Germany

,

M. Pfeifer

⁶Diabetes Center, Hospital Tettnang, Tettnang, Germany

,

D. Rühl

⁷Department of Internal Medicine I and Diabetology, Evangelical Hospital Mittelhessen, Gießen, Germany

,

M. Schütt

⁸Department of Internal Medicine I, University of Lübeck, Lübeck, Germany

,

E. Siegel

⁹Department of Internal Medicine, St. Vincenz Hospital, Limburg, Germany

,

M. Stadler

¹⁰III. Medical Department, Hospital Hietzing, Wien, Austria

,

A. Zeyfang

¹¹Agaplesion Bethesda Hospital Stuttgart, Stuttgart, Germany

,

S. Zimny

¹²Department for General Internal Medicine, Endocrinology, Diabetes and Geriatric Medicine, HELIOS Kliniken Schwerin, Schwerin, Germany

,

R. W. Holl

¹Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany

,

for the DPV Initiative and the German BMBF Competence Network Diabetes mellitus

› Author Affiliations

Abstract

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), age- and gender-adjusted Body Mass Index Standard Deviation Score, or calculated %body fat is a better predictor for cardiovascular disease risk factors, specifically 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 significant differences 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 significantly 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 coefficients for total cholesterol and LDL-cholesterol revealed weak associations with the 3 anthropometric measurements.

Conclusion:

Compared to Body Mass Index, age- and gender-adjusted Body Mass Index Standard Deviation Score, or calculation of %body fat, has no further benefit to predict cardiovascular disease risk factors in adult type 2 diabetic patients.

Key words

body mass index - body fat percentage - body mass index standard deviation score - hypertension - dyslipidemia

Full Text

References

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