[PDF][PDF] Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study
MB Schulze, C Heidemann, A Schienkiewitz… - Diabetes care, 2006 - Citeseer
METHODS—The European Prospective Investigation into Cancer and Nutrition (EPIC)-
Potsdam study includes 27,548 subjects, 16,644 women aged mainly 35–65 years and …
Potsdam study includes 27,548 subjects, 16,644 women aged mainly 35–65 years and …
An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes
MB Schulze, K Hoffmann, H Boeing, J Linseisen… - Diabetes …, 2007 - Am Diabetes Assoc
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 …
populations for individuals at high risk of developing type 2 diabetes based on noninvasive …
Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the insulin resistance atherosclerosis study
MF MacKay, SM Haffner, LE Wagenknecht… - Diabetes …, 2009 - Am Diabetes Assoc
OBJECTIVE To compare different anthropometric measures in terms of their ability to predict
type 2 diabetes and to determine whether predictive ability was modified by ethnicity …
type 2 diabetes and to determine whether predictive ability was modified by ethnicity …
Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric …
MK Tulloch-Reid, DE Williams, HC Looker… - Diabetes …, 2003 - Am Diabetes Assoc
OBJECTIVE—To investigate which anthropometric measurements of obesity best predict
type 2 diabetes in a population of Pima Indians and whether additional information on …
type 2 diabetes in a population of Pima Indians and whether additional information on …
Anthropometric measures and glucose levels in a large multi-ethnic cohort of individuals at risk of developing type 2 diabetes
Abstract Aims/hypotheses We determined:(1) which of BMI, waist circumference, hip
circumference and WHR has the strongest association and explanatory power for newly …
circumference and WHR has the strongest association and explanatory power for newly …
Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort
J Stevens, D Couper, J Pankow, AR Folsom… - Obesity …, 2001 - Wiley Online Library
Objective: To evaluate the ability of body mass index, waist circumference, waist‐to‐hip
ratio, and combinations of these variables to discriminate individuals who will develop …
ratio, and combinations of these variables to discriminate individuals who will develop …
Comparison of relationships between four common anthropometric measures and incident diabetes
Aims First, to conduct a detailed exploration of the prospective relations between four
commonly used anthropometric measures with incident diabetes and to examine their …
commonly used anthropometric measures with incident diabetes and to examine their …
Comparison of body mass index and waist circumference in the prediction of diabetes: a retrospective longitudinal study
M Abe, H Fujii, S Funakoshi, A Satoh, M Kawazoe… - Diabetes Therapy, 2021 - Springer
Introduction Both body mass index (BMI) and waist circumference (WC) are associated with
diabetes risk, and the difference between them in predictive ability for diabetes is still …
diabetes risk, and the difference between them in predictive ability for diabetes is still …
Cutoff values for normal anthropometric variables in Asian Indian adults
C Snehalatha, V Viswanathan… - Diabetes …, 2003 - Am Diabetes Assoc
OBJECTIVE—Asian Indians have a high risk of developing glucose intolerance with small
increments in their BMI. They generally have high upper-body adiposity, despite having a …
increments in their BMI. They generally have high upper-body adiposity, despite having a …
Which obesity index best explains prevalence differences in type 2 diabetes mellitus?
C Lorenzo, M Serrano‐Ríos, MT Martínez‐Larrad… - …, 2007 - Wiley Online Library
Objective: Obesity drives the diabetes epidemic. However, it is not known which obesity
index best explains variations in type 2 diabetes mellitus prevalence across populations …
index best explains variations in type 2 diabetes mellitus prevalence across populations …