Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study.

نویسندگان

  • Matthias B Schulze
  • Christin Heidemann
  • Anja Schienkiewitz
  • Manuela M Bergmann
  • Kurt Hoffmann
  • Heiner Boeing
چکیده

Obesity is a well-established risk factor for type 2 diabetes (1–3). However, while several studies (4–10) suggest that anthropometric measurements that describe central fat distribution are superior in predicting type 2 diabetes compared with measurements of general adiposity, this issue remains controversial (11–14). The aim of this study was to compare different anthropometric measurements and derived estimates of body composition, in particular BMI, waist-to-height ratio, waist-to-hip ratio (WHR), metric index, and percentage body fat, in their ability to predict risk of type 2 diabetes in a large prospective cohort study of men and women.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes: response to Schulze et al.

OBJECTIVE We aimed to develop a precise risk score for the screening of large populations for individuals at high risk of developing type 2 diabetes based on noninvasive measurements of major risk factors in German study populations. RESEARCH DESIGN AND METHODS A prospective cohort study (European Prospective Investigation into Cancer and Nutrition [EPIC]-Potsdam study) of 9,729 men and 15,43...

متن کامل

Predicting Medication Adherence Based on Personality Characteristics in Individuals with Type 2 Diabetes Mellitus

Objective: Diabetes mellitus is a chronic illness and adherence to medications is vital to manage the illness. The purpose of this study was to examine the prediction of medication adherence based on personality factors in a group of individuals with type 2 diabetes in Yasuj. Materials and Methods: One hundred twenty individuals with type 2 diabetes who visited health centers were selected for...

متن کامل

شاخص‌های تن‌سنجی و پیش‌بینی کننده بروز دیابت نوع 2 در بالغین، مطالعه قند و لیپید تهران

Background: The aim of this study was to determine the best Anthropometric indices for prediction of the risk of type 2 Diabetes in lower and higher 60 years old population in Tehran. Methods: As a prospective study among 4479 non-diabetic men and women over 20 years from the participants of Tehran Lipid and Glucose Study (TLGS) who had complete data of blood pressure, plasma glucose in the fa...

متن کامل

Comparison of the Efficiency of Data Mining Algorithms in Predicting the Diagnosis of Diabetes

Background: Diabetes is one of the major health problems in Iran and about 4.6 million adults suffer from this disease. Poor diagnosis of this disease has caused half of this number to be unaware of their disease. In recent years, along with the use of computers in data analysis and storage, the volume and complexity of data has increased dramatically. Methods: In health organizations, data pl...

متن کامل

Comparison of the efficiency of data mining methods in predicting type 2 diabetes

Background: Diabetes mellitus as a chronic disease is the most common disease caused by metabolic disorders and it is one of the most important health issues all around the world. Nowadays, data mining methods are applied in different fields of sciences due to data mining methods capability. Therefore, in this study, we compared the efficiency of data mining methods in predicting type 2 diabete...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Diabetes care

دوره 29 8  شماره 

صفحات  -

تاریخ انتشار 2006