title: [Fruit and vegetables intake among the Chinese migrant population aged 18 to 59 years old in 2012].
abstract: OBJECTIVE
  To describe the intake of fruit and vegetables among employed migrant population aged 18 to 59 year-olds in China.
  
  
  METHODS
  Data from the Migrant Population Survey related to China Chronic Disease and Risk Factor Surveillance that conducted in 170 counties/districts in 31 provinces, 2012, was used. Information on non-communicable diseases and related risk factors among migrant population were collected through face-to-face questionnaire interview, physical measurement and lab tests. A total of 48 704 subjects aged 18 to 59 years old were included in our study. Sample was standardized by age and sex. Information on average daily fruit and vegetables intake, prevalence of low fruit and vegetables intake, grouped by sex, age, industries, and education level were analyzed.
  
  
  RESULTS
  The average daily intakes of vegetables and fruits were 353.7 (95%CI:351.3-356.2) g and 125.1 (95%CI:123.4-126.9) g respectively, among the employed migrant population aged 18-59 years old in China. Prevalence of low fruit and vegetables intake was 44.1% (95% CI:43.5%-44.6% ) among employed migrant population, 46.2% (95% CI: 45.5%-47.0%)for males and 41.2% (95% CI:40.3%-42.0%)for females (χ(2) = 82.19, P < 0.05). Among different professions, the prevalence of low fruit and vegetables intake was the highest among people working in accommodation and restaurants (46.2%, 95%CI:45.0%-47.3%) while the lowest seen among those working in social services (42.5%, 95%CI:41.4%-43.7%,χ(2) = 15.81, P < 0.05). The prevalence of low fruit and vegetables intake showed a decrease along with the increase of education levels (χ(2) = 22.29, P < 0.05).
  
  
  CONCLUSIONS
  In 2012, more than 40% of the employed migrant population aged 18 to 59 years old in China had low fruit and vegetables intake. Being male and with low education level were risk factors linked with the higher prevalence of low fruit and vegetables intake.
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Mei
authors.initials: M
authors.lastname: Zhang
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China. Email: linhong@chinawch.org.cn.
authors.forename: Linhong
authors.initials: L
authors.lastname: Wang
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Deng
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Yinjun
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Zhengjing
authors.initials: Z
authors.lastname: Huang
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Yichong
authors.initials: Y
authors.lastname: Li
authors.affiliation: Beijing Tian Tan Hospital, Capital Medical University.
authors.forename: Yong
authors.initials: Y
authors.lastname: Jiang
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Limin
authors.initials: L
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D002681:China; D004032:Diet / Q000706:statistics & numerical data*; D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D005638:Fruit; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014171:Transients and Migrants / Q000706:statistics & numerical data*; D014675:Vegetables; D055815:Young Adult