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A Quick Self-assessment Tool to Identify Individuals at High Risk for Type 2 Diabetes in the Chinese General Population
  1. jing xie1,
  2. Dongsheng Hu2,*,
  3. Dahai Yu3,
  4. Jiang He4,
  5. Chung-Shiuan Chen4,
  6. Dongfeng Gu3
  1. 1 Centre for Eye Research Australia, Population Health Division, Australia;
  2. 2 Department of Epidemiology, Shenzhen University School of Medicine, China;
  3. 3 Chinese Academy of Medical Sciences and Peking Union Medical College, China;
  4. 4 Tulane University School of Public Health and Tropical Medicine, United States
  1. To whom correspondence should be addressed. E-mail: dongsheng_hu{at}hotmail.com

Abstract

Background: Current available tools for identifying individuals at high risk for type 2 diabetes can be invasive, costly and time-consuming. This study aims to develop and validate a self-assessment tool for identifying individuals at high risk for type 2 diabetes in the Chinese general population.

Methods: A cross-sectional survey was conducted from 2000 to 2001 in a nationally representative sample of 15, 540 Chinese adults aged 35 to 74 years. The diabetes risk level (DRL) was assessed by classification and regression tree (CART) analysis using four predictors: age, body mass index, waist-hip ratio (WHR) and waist circumference (WC).

Results: The significant predictors for type 2 diabetes were WHR and age for women, and WC and age for men. The categories generated by CART analysis stratified women into 8 DRLs and men into 5 DRLs. The prevalence of type 2 diabetes increased with the increasing of DRLs in both women and men. A DRL ≥ 6 predicted type 2 diabetes status with a sensitivity of 0.61 (95% confidence interval [CI]: 0.55, 0.67), specificity of 0.71 (95% CI: 0.70, 0.73) in women, and a DRL ≥ 3 predicted type 2 diabetes status with a sensitivity of 0.59 (95% CI: 0.52, 0.65), specificity of 0.63 (95% CI: 0.62, 0.65) in men.

Conclusions: This study demonstrates that application of the DRLs has identified a substantial proportion of individuals with type 2 diabetes in the Chinese general population. It suggests that there is a great potential of applying the self-assessment tool in health care limited settings.

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