title: [Prevalence and metabolic risk factors of nonalcoholic fatty liver disease in a middle-aged and elderly population in Guangzhou].
abstract: OBJECTIVE
  To investigate the prevalence of nonalcoholic fatty liver disease (NAFLD) and understand the relationship between NAFLD and metabolic risk factors in middle-aged and elderly adults.
  
  
  METHODS
  This cross-sectional study recruited 2 935 subjects in Guangzhou, Guangdong province. Face-to-face interviews and laboratory analyses were conducted to collect general information and other covariates. Analysis of covariance and logistic regression analysis were performed to investigate the relationship between metabolic factors and the prevalence of NAFLD. NAFLD was diagnosed based on standard criteria recommend by the Fatty Liver Disease and Alcoholic Liver Disease Branch of Chinese Hepatology Society, and the degree of steatosis was assessed (mild, moderate or severe).
  
  
  RESULTS
  Compared with normal subjects, those with NAFLD had higher levels of WC, BMI, FPG, TG, SBP, DBP and greater prevalence of metabolic syndrome, but lower levels of physical activity and HDL-C. After adjusted for covariates, the OR for each standard deviation change was 2.70 (95% CI: 2.45-2.98) for WC, 1.47 (95% CI: 1.35-1.59) for SBP, 1.48 (95% CI: 1.37-1.60) for DBP, 1.88 (95% CI: 1.66-2.12) for TG, 1.25 (95% CI: 1.15-1.36) for FPG and 0.51 (95% CI: 0.47-0.56) for HDL-C (all P<0.001). Higher levels of WC, BMI, TG, SBP, DBP and FPG were significantly related with the increase in degree of NAFLD (P-trend<0.001).
  
  
  CONCLUSIONS
  There is a relatively high prevalence of NAFLD in middle-aged and elderly adults in China. NAFLD is closely related with the different forms of metabolic syndrome, and WC is the leading risk factor for NAFLD.
authors.affiliation: Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Department of Medical Records Statistics, the First Affiliated Hospital of Sun Yat-sen University.
authors.forename: Yi
authors.initials: Y
authors.lastname: Cao
authors.affiliation: Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Wang
authors.affiliation: Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
authors.forename: Wenqi
authors.initials: W
authors.lastname: Shi
authors.affiliation: Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
authors.forename: Yingying
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
authors.forename: Gengdong
authors.initials: G
authors.lastname: Chen
authors.affiliation: Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Email: chenyum@mail.sysu.edu.cn.
authors.forename: Yuming
authors.initials: Y
authors.lastname: Chen
mesh_terms: D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data*; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D006801:Humans; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D065626:Non-alcoholic Fatty Liver Disease / Q000453:epidemiology*; D015995:Prevalence; D012307:Risk Factors