title: [Beverage consumption of community residents and influencing factors].
abstract: OBJECTIVE
  To investigate the beverage consumption and affective factors about residents of Suzhou and provide basic information for nutrition improvement.
  
  
  METHODS
  The study population included 600 residents selected from four communities using the method of stratified multistage cluster random sampling. The data on beverage consumption were collected through a questionnaire survey, and analyzed through SPSS, including statistic description and Logistic regression.
  
  
  RESULTS
  The average water consumption of four age groups was 889 - 1450 ml. Excluding drinking water, the overall milk consumption was highest, reaching to 1372 ml per week. Apart from those, the highest consumption beverages of preschool children, children and youth, and adults were juice, carbonated beverage, and tea, respectively. Age and food preference were important factors affecting beverage consumption, other influencing factors including gender, BMI and income.
  
  
  CONCLUSIONS
  The health consciousness on beverage consumption need to be further improved, and intervention measures could be carried out through changing food preference behavior, controlling weight and so on according to different age person, thus beverage consumption will be correctly conducted.
authors: School of Public Health, Medical College, Soochow University, Jiangsu Suzhou 215123, China. letitbe2010214@163.com
authors: Lili
authors: L
authors: Fan
authors: Chengang
authors: C
authors: Teng
authors: Chunling
authors: C
authors: Fu
authors: Dapeng
authors: D
authors: Wang
authors: Jian
authors: J
authors: Liu
authors: Lingyan
authors: L
authors: Tang
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000818:Animals; D001628:Beverages / Q000009:adverse effects / Q000706:statistics & numerical data*; D002253:Carbonated Beverages / Q000706:statistics & numerical data*; D002648:Child; D002675:Child, Preschool; D002681:China; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008892:Milk / Q000706:statistics & numerical data*; D011795:Surveys and Questionnaires; D055815:Young Adult