title: Associations between non-traditional lipid measures and risk for type 2 diabetes mellitus in a Chinese community population: a cross-sectional study.
abstract: BACKGROUND
  This study investigated associations between type 2 diabetes mellitus and non-traditional lipid measures (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), triglycerides (TG)/HDL-C, and non-HDL-C).
  
  
  METHODS
  We conducted a community-based, cross-sectional study of 9 078 participants aged 18 years or older (4 768 men and 4 310 women) who lived in the Jidong community, Tangshan, China. The adjusted odds ratios for type 2 diabetes were calculated for every standard deviation change in TC, log-transformed TG, HDL-C, LDL-C, non-HDL-C, TC/HDL-C, and log-transformed TG/HDL-C using multivariate logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to define the points of maximum sum of sensitivity and specificity for each lipid measure as a predictor for type 2 diabetes.
  
  
  RESULTS
  Prevalence of type 2 diabetes was 6.29%. Higher TC, TG, LDL-C, non-HDL-C, TC/HDL-C, and TG/HDL-C, and lower HDL-C levels were individually associated with type 2 diabetes in multivariate analyses (all P < 0.05). TC/HDL-C was superior at discriminating between participants with and without type 2 diabetes compared with LDL-C (comparing ROC: P < 0.001), HDL-C (P < 0.001), TG (P = 0.012), TC (P < 0.001), non-HDL-C (P = 0.001), and TG/HDL-C (P = 0.03). The cutoff point for TC/HDL-C was 1.30 mmol/L in this population from the Jidong community. Sensitivity and specificity values for TC/HDL-C were 0.77 and 0.53, respectively.
  
  
  CONCLUSIONS
  TC/HDL-C is associated with type 2 diabetes and is superior to LDL-C and HDL-C as a risk marker in this population.
authors.affiliation: Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China.
authors.forename: Qiaofeng
authors.initials: Q
authors.lastname: Song
authors.affiliation: Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China.
authors.forename: Xiaoxue
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.|Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
authors.forename: Anxin
authors.initials: A
authors.lastname: Wang
authors.affiliation: Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100050, China.
authors.forename: Youxin
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China.
authors.forename: Wenhua
authors.initials: W
authors.lastname: Zhou
authors.affiliation: Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China. tsrmyy_wxz@126.com.
authors.forename: Xizhu
authors.initials: X
authors.lastname: Wang
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood*; D002681:China; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000453:epidemiology; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood*; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D015415:Biomarkers; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D008055:Lipids; D014280:Triglycerides; D002784:Cholesterol
keywords: Lipids; Non-HDL cholesterol; type 2 diabetes