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A risk score for predicting incident diabetes in the Thai population

- Free from Publisher
W Aekplakorn, P Bunnag, M Woodward, P … - Diabetes Care, 2006 - Am Diabetes Assoc
RESULTS—A total of 361 individuals developed type 2 diabetes in the
exploratory cohort during the follow-up period. The significant predictive
variables in the simple model were age, BMI, waist circumference, ...
Cited by 35 - Related articles - BL Direct - All 5 versions

An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the …

- diabetesjournals.org
MB Schulze, K Hoffmann, H Boeing, J … - Diabetes Care, 2007 - Am Diabetes Assoc
RESULTS—Information on age, waist circumference, height, history of
hypertension, physical activity, smoking, and consumption of red meat,
whole-grain bread, coffee, and alcohol formed the German Diabetes Risk ...
Cited by 56 - Related articles - BL Direct - All 7 versions

Risk scores for type 2 diabetes can be applied in some populations but not all

- diabetesjournals.org
C Glümer, D Vistisen, K Borch-Johnsen, S … - Diabetes Care, 2006 - Am Diabetes Assoc
OBJECTIVE—Risk scores based on phenotypic characteristics to identify
individuals at high risk of having undiagnosed diabetes have been developed in
Caucasian populations. The impact of known risk factors on having ...
Cited by 28 - Related articles - BL Direct - All 6 versions

Derivation and validation of diabetes risk score for urban Asian Indians


A Ramachandran, C Snehalatha, V Vijay, NJ … - Diabetes research and clinical practice, 2005 - Elsevier
A population based Cohort of 10,003 participants aged ≥20 years was divided
into two equal halves (Cohorts 1 and 2), after excluding people with known
diabetes. Cohort 1 (n = 4993) was used to derive the risk score. Validation ...
Cited by 20 - Related articles - All 14 versions

Identifying individuals at high risk for diabetes

- diabetesjournals.org
MI Schmidt, BB Duncan, H Bang, JS Pankow, … - Diabetes Care, 2005 - Am Diabetes Assoc
RESULTS—We derived risk functions to predict diabetes using logistic
regression in a random half of the sample. Rules based on these risk functions
were evaluated in the other half. A risk function based on waist, height, ...
Cited by 67 - Related articles - BL Direct - All 6 versions

Predicting Diabetes: Clinical, Biological, and Genetic Approaches

- diabetesjournals.org
B Balkau, C Lange, L Fezeu, J Tichet, B De … - Diabetes care, 2008 - Am Diabetes Assoc
RESULTS—A total of 140 men and 63 women developed diabetes. The predictive
clinical variables were waist circumference and hypertension in both sexes,
smoking in men, and diabetes in the family in women. Discrimination, as ...
Cited by 10 - Related articles - All 7 versions

Do simple questions about diet and physical activity help to identify those at risk of Type 2 …


D Med - Diabet. Med, 2007 - interscience.wiley.com
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Cited by 11 - Related articles - BL Direct - All 5 versions

Predicting the development of diabetes in older adults

- diabetesjournals.org
AM Kanaya, CLW Fyr, N de Rekeneire, RI … - Diabetes Care, 2005 - Am Diabetes Assoc
RESEARCH DESIGN AND METHODS— A cross-sectional analysis with data from the
Rancho Bernardo Study (age 67 ± 11 years) to derive a rule predicting abnormal
PCPG ≥140 mg/dl, using demographic, clinical, and laboratory data of ...
Cited by 34 - Related articles - All 6 versions

The diabetes risk score

- diabetesjournals.org
J Lindström, J Tuomilehto - Diabetes Care, 2003 - Am Diabetes Assoc
RESEARCH DESIGN AND METHODS—A random population sample of 35- to 64-year-old
men and women with no antidiabetic drug treatment at baseline were followed for
10 years. New cases of drug-treated type 2 diabetes were ascertained from ...
Cited by 235 - Related articles - BL Direct - All 7 versions

A simple risk score identifies individuals at high risk of developing Type 2 diabetes: a …

- oxfordjournals.org
M Rahman, RK Simmons, AH Harding, NJ … - Family Practice, 2008 - Oxford Univ Press
Add to CiteULike Add to Connotea Add to Del.icio.us What's this? ... © The
Author 2008. Published by Oxford University Press. All rights reserved. For
permissions, please e-mail: journals.permissions@oxfordjournals.org.
Cited by 6 - Related articles - All 3 versions


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