title: [Social determinants of chronic diseases related behaviors in primary school students in Beijing City].
abstract: OBJECTIVE
  To identify social determinants of chronic diseases related behaviors in primary school students in Beijing, China.
  
  
  METHODS
  Cross-sectional study was designed and a two-stage (districts and schools) stratified (school type) cluster (classes) sampling method was adopted. Haidian and Fengtai districts were chosen firstly. One state and one private school with more migrant children were chosen in each district, paired with two state primary schools with more permanent resident children. Two classes from grades 4, 5 and 6 from each primary school were selected, all students in which and their parents were included as study subjects. A self-designed questionnaire was adopted to collect demographic information, chronic diseases related behaviors and knowledge from students and their parents. Overall, a total of 1604 paired samples of students and parents were obtained from eight primary schools. Eleven self-reported behaviors were grouped into three, which were trying smoking, dietary intake frequency (vegetables, fruit, milk, and breakfast intake, salty foods, fatty diets), sedentary life style (reading, watching TV and playing PC continuously more than one hour, and having physical activities both in school and at home). According to the number of risk behaviors, three groups were classified as low (0 - 1), medium (2 - 3), and high (4 + ). ANOVA, Chi-square test and ordinal logistic regression analysis were adopted to find the influence of demographic characteristics, school types, social economic status (SES) , students' health knowledge, and parents' health knowledge and behaviors on students' number of risk behaviors.
  
  
  RESULTS
  Ordinal logistic regression analysis showed boys (OR = 1. 26, 95% CI 1. 03 - 1. 53) and older (OR = 1. 25, 95% CI 1. 14 - 1. 37) were risk factors for more risk behaviors. Higher SES scores (OR = 0. 84,95% CI 0. 73 - 0. 95) and higher students' health knowledge scores (OR = 0. 87, 95% CI 0. 83 - 0. 91), and better parents' health behaviors scores (OR = 0. 87, 95% CI 0. 83 - 0. 91) were protective factors for the number of risk behaviors. Household registration status and school types had no significant impact yet. Boys (OR = 1. 39, 95% CI 1. 08 -1.79) and lower SES scores (OR =0. 85, 95% CI 0. 73 -1. 00) were significant risk factors for more risk behaviors among migrant students, compared with those in residents students, while other factors had similar impact between two groups.
  
  
  CONCLUSIONS
  Family social and economic status, students' health knowledge and parents' behaviors would have great impact on students' health behaviors cultivation.
authors.forename: Ying
authors.initials: Y
authors.lastname: Ji
authors.forename: Lei
authors.initials: L
authors.lastname: Sun
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.forename: Yanling
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000068476:Beijing / Q000453:epidemiology; D002648:Child; D002681:China; D002908:Chronic Disease / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D004032:Diet; D005638:Fruit; D015438:Health Behavior; D006801:Humans; D008297:Male; D010290:Parents; D012307:Risk Factors; D012309:Risk-Taking; D012574:Schools; D057185:Sedentary Behavior; D012931:Social Environment; D012959:Socioeconomic Factors; D013334:Students; D011795:Surveys and Questionnaires; D014675:Vegetables