title: [The changes of the attributable factors of child growth].
abstract: OBJECTIVE
  To rule out the attributable factors of child growth in China and the changes of the factors in the past 15 years for the planning of future nutrition improvement of children in China.
  
  
  METHODS
  The datasets of 1990 - 2005 China Food and Nutrition Surveillance were used and the Multi-factorial Logistic Regression analysis was used. The AR% of these factors and the changes of the attributable factors during the past 15 years were presented.
  
  
  RESULTS
  The main factors attributed to the growth of children under 5 in year 2005 were low education level of mothers (AR = 40.5%), floating out-for-job mothers (AR% = 35.5%), No egg introduction in the past 24 hours (AR = 24.2%), No milk introduction in the past 24 hours(18.7%) and household income below national poverty line (21.9%). Many of the attributable factors have improved significantly during the past 15 years. However, the increasing number of floating out-for-job mothers will have more impact on the quality of child feeding and child care.
  
  
  CONCLUSIONS
  Social economic development is the direct factors to child growth, while other factors such as feeding and mother care are critical factors could either accelerate or counteract the positive effects of the favorable socioeconomic development. To improve height growth is essential to further enhance health and fitness of children under 5 focused nutrition and dietary intervention should be implemented.
authors.affiliation: Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Chun-ming
authors.initials: CM
authors.lastname: Chen
authors.forename: Wu
authors.initials: W
authors.lastname: He
authors.forename: Su-ying
authors.initials: SY
authors.lastname: Chang
mesh_terms: D002657:Child Development; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D007223:Infant; D007228:Infant Nutrition Disorders / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D009749:Nutrition Surveys; D012494:Sampling Studies; D012959:Socioeconomic Factors