title: [Clustering analysis on the dietary patterns of residents in Jiangsu Province].
abstract: OBJECTIVE
  Using clustering analysis to classify the dietary patterns of residents.
  
  
  METHODS
  Analysis of dietary survey data in 2002 of 3938 permanent residents selected from Jiangsu Province was performed by a fast clustering program (fastclus) in SAS 9.1 to explore the clusters of dietary patterns.
  
  
  RESULTS
  Three dietary patterns were identified as: I Traditional mode, II Western mode and III Balanced diets mode. The food consumption of different dietary patterns analyzed by multivariate analysis was statistically significant (F = 521.34, P < 0.0001).
  
  
  CONCLUSIONS
  Clustering analysis can be used as a kind of method for the study of dietary patterns.
authors.affiliation: School of Public Health, Southest University, Nanjing 210009, China. kevin.tiany@gmail.com
authors.forename: Ye
authors.initials: Y
authors.lastname: Tian
authors.forename: Jie
authors.initials: J
authors.lastname: Min
authors.forename: Pei
authors.initials: P
authors.lastname: Liu
authors.forename: Jinfang
authors.initials: J
authors.lastname: Sun
mesh_terms: D000328:Adult; D002681:China; D016000:Cluster Analysis; D004032:Diet / Q000706:statistics & numerical data*; D004034:Diet Surveys; D005247:Feeding Behavior / Q000145:classification*; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D008875:Middle Aged; D009752:Nutritional Status; D011795:Surveys and Questionnaires; D055815:Young Adult