title: The relationship between anthropometric indices and type 2 diabetes mellitus among adults in north-east China.
abstract: OBJECTIVE
  The present study was performed to test the predictive value of different cut-off points of anthropometric parameters for the presence of type 2 diabetes (T2DM) or glucose tolerance abnormalities in north-east Chinese adults.
  
  
  METHODS
  Multistage random cluster sampling method in a cross-sectional study.
  
  
  METHODS
  Height, body weight, maximal body weight in the past, waist and hip circumferences, blood pressure, 2 h post-load glucose and other lifestyle factors were measured.
  
  
  METHODS
  We used data from 1058 adults aged 20 years or over, selected in the city of Mudanjiang, in 2005.
  
  
  RESULTS
  BMI, maximal BMI in the past (MAXBMI), waist:hip ratio (WHR), waist:height ratio (WHtR) and waist circumference (WC) were significantly correlated with each other. Partial correlation coefficients between WHtR and WC, and between MAXBMI and BMI, were higher than those between the other indices. The association of anthropometric indices with T2DM or glucose tolerance abnormalities was significantly highest for the collaboration cut-off points of MAXBMI (≥ 23.0 kg/m(2) for T2DM, ≥ 22.0 kg/m(2) for glucose tolerance abnormalities) with WHtR (≥ 0.52). Areas under the receiver-operating characteristic curves also showed that WHtR was a better anthropometric index that discriminated between the presence and absence of T2DM and an excellent indicator with high Youden's index.
  
  
  CONCLUSIONS
  MAXBMI combined with WHtR was a better anthropometric index associated with T2DM or glucose tolerance abnormalities. The combined use of these two measures is a good choice for T2DM prevention and screening.
authors.affiliation: 1Longquanyi Center for Disease Control and Prevention,Chengdu,People's Republic of China.
authors.forename: Wen
authors.initials: W
authors.lastname: Wei
authors.affiliation: 3Department of Social Medicine,School of Public Health,Harbin Medical University,Harbin,People's Republic of China.
authors.forename: Xie
authors.initials: X
authors.lastname: Xin
authors.affiliation: 2Department of Epidemiology,School of Public Health,Harbin Medical University,No. 157 Baojian Street,Harbin 150081,People's Republic of China.
authors.forename: Bing
authors.initials: B
authors.lastname: Shao
authors.affiliation: 4Guangdong Provincial Key Laboratory of Food,Nutrition, and Health,School of Public Health,Sun Yat-sen University,Guangzhou,People's Republic of China.
authors.forename: Fang-Fang
authors.initials: FF
authors.lastname: Zeng
authors.affiliation: 4Guangdong Provincial Key Laboratory of Food,Nutrition, and Health,School of Public Health,Sun Yat-sen University,Guangzhou,People's Republic of China.
authors.forename: Edgar J
authors.initials: EJ
authors.lastname: Love
authors.affiliation: 2Department of Epidemiology,School of Public Health,Harbin Medical University,No. 157 Baojian Street,Harbin 150081,People's Republic of China.
authors.forename: Bin-You
authors.initials: BY
authors.lastname: Wang
mesh_terms: D000328:Adult; D000886:Anthropometry; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology*; D005260:Female; D018149:Glucose Intolerance / Q000453:epidemiology*; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012307:Risk Factors
keywords: Anthropometry; Impaired glucose tolerance; Maximal BMI in the past; Type 2 diabetes; Waist:height ratio