Document Detail


A simple tool detected diabetes and prediabetes in rural Chinese.
MedLine Citation:
PMID:  20189761     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To develop and evaluate a simple tool, using data collected in a rural Chinese general practice, to identify those at high risk of Type 2 diabetes (T2DM) and prediabetes (PDM). STUDY DESIGN AND SETTING: A total of 2,261 rural Chinese participants without known diabetes were used to derive and validate the models of T2DM and T2DM plus PDM. Logistic regression and classification tree analysis were used to build models. RESULTS: The significant risk factors included in the logistic regression method were age, body mass index, waist/hip ratio (WHR), duration of hypertension, family history of diabetes, and history of hypertension for T2DM and T2DM plus PDM. In the classification tree analysis, WHR and duration of hypertension were the most important determining factors in the T2DM and T2DM plus PDM model. The sensitivity, specificity, positive predictive value, negative predictive value, and receiver operating characteristic area for detecting T2DM were 74.6%, 71.6%, 23.6%, 96.0%, and 0.731, respectively. For PDM plus T2DM, the results were 65.3%, 72.5%, 33.2%, 90.7%, and 0.689, respectively. CONCLUSION: The classification tree model is a simple and accurate tool to identify those at high risk of T2DM and PDM. Central obesity strongly associates with T2DM in rural Chinese.
Authors:
Zhong Xin; Jing Yuan; Lin Hua; Ya-Hong Ma; Lei Zhao; Yi Lu; Jin-Kui Yang
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-03-01
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  63     ISSN:  1878-5921     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-07-26     Completed Date:  2010-10-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1030-5     Citation Subset:  IM    
Affiliation:
Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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MeSH Terms
Descriptor/Qualifier:
Asian Continental Ancestry Group / statistics & numerical data*
Body Mass Index
Diabetes Mellitus, Type 2 / classification,  diagnosis*,  epidemiology
Female
Humans
Hypertension / diagnosis*,  epidemiology
Male
Middle Aged
Obesity, Abdominal / diagnosis
Prediabetic State / classification,  diagnosis*,  epidemiology
Predictive Value of Tests
Questionnaires
Rural Health
Waist-Hip Ratio / statistics & numerical data

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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