title: [Incidence of accident proneness and its influencing factors in rural children].
abstract: OBJECTIVE
  To investigate the incidence of accident proneness and its influencing factors in rural children.
  
  
  METHODS
  By random cluster sampling, 1 560 children were enrolled from one rural area in Hunan Province, China, and were surveyed with self-designed general and injury questionnaires. Unconditional multivariate logistic regression analysis was used to explore the major risk factors for accident-prone children.
  
  
  RESULTS
  One hundred and forty-seven accident-prone children were screened out and the incidence of accident proneness was 9.42%. Univariate analysis showed that gender (P<0.01), academic record (P<0.01), left-behind status (P<0.05), family type (P<0.05), family economic status (P<0.01), guardian's gender (P<0.05), guardian's marital status (P<0.05), guardian's occupation (P<0.05), and family educational mode (P<0.05) were influencing factors for accident proneness in rural children. Multivariate logistic regression analysis further revealed that low grade (OR=3.683, 95%CI: 1.028-4.283) and very low grade (OR=2.099, 95% CI: 1.587-8.546) in academic record, poverty in family economic status (OR=2.353, 95% CI: 1.222-4.533), and indulgence or indifference (OR=1.914, 95% CI: 1.029-3.559) and fickleness (OR=4.153, 95% CI: 1.847-9.338) in guardian's educational mode were risk factors for accident proneness in rural children, while female gender (OR=0.539, 95% CI: 0.369-0.788) was a protective factor.
  
  
  CONCLUSIONS
  Low academic record, poor family economy, and incorrect family education mode (indulgence or indifference and fickleness) would increase the incidence of accident proneness in rural children, but girls have less accident proneness than boys.
authors.affiliation: Nursing School, Central South University, Changsha 410013, China. leshanzhou@qq.com.
authors.forename: Si-Si
authors.initials: SS
authors.lastname: Chen
authors.forename: Le-Shan
authors.initials: LS
authors.lastname: Zhou
mesh_terms: D000057:Accident Proneness; D000293:Adolescent; D002648:Child; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D012424:Rural Population