title: [Multiple factors analysis on malnutrition of children and under five in different patterns in China in 2000].
abstract: In order to analyze the major factors contributing to malnutrition of children aged under five at 40 inspective spots, a cluster method was used and four patterns were set up in this study. Multiple logistic regression was applied in each pattern to identify the most important factor. The results showed that the problem of child malnutrition in urban areas has been solved, but the problem in rural is still severe. The attributable risk of education level of mother, breast feeding and water supply were the major factors contributing to the nutrition status of children and therefore, the synthetical measures should be take for improving the nutrition status of children.
authors.affiliation: Health Information Centre, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Mingxia
authors.initials: M
authors.lastname: Chen
authors.forename: Wu
authors.initials: W
authors.lastname: He
authors.forename: Zhenying
authors.initials: Z
authors.lastname: Fu
authors.forename: Gang
authors.initials: G
authors.lastname: Fu
authors.forename: Yuying
authors.initials: Y
authors.lastname: Wang
mesh_terms: D015362:Child Nutrition Disorders / Q000453:epidemiology* / Q000517:prevention & control; D002675:Child, Preschool; D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D012423:Rural Health; D014504:Urban Health