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
| Autor: | Wolfgang Kerner, Nicole Scheuing, M Schütt, Stefan Zimny, D Rühl, Andrej Zeyfang, Dpv Initiative, Martin Pfeifer, F Best, C Bayer, Marietta Stadler, T Lenk, Reinhard W. Holl, E Siegel |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Male
medicine.medical_specialty Endocrinology Diabetes and Metabolism Population Blood lipids Overweight Body fat percentage Body Mass Index Cohort Studies Endocrinology Risk Factors Classification of obesity Germany Internal medicine Internal Medicine medicine Humans Obesity Prospective Studies education Adiposity Aged Dyslipidemias Sex Characteristics education.field_of_study Body volume index business.industry Age Factors General Medicine Middle Aged Anthropometry Diabetes Mellitus Type 2 Austria Hypertension Female medicine.symptom business Body mass index Follow-Up Studies |
| Zdroj: | Experimental and Clinical Endocrinology & Diabetes. 121:67-74 |
| ISSN: | 1439-3646 0947-7349 |
| DOI: | 10.1055/s-0032-1333243 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|