title: [Epidemiologic characteristics of fall in old population: Results from national injury surveillance in China, 2014].
abstract: OBJECTIVE
  To understand the epidemiologic characteristics of fall in people aged ≥60 years in China and provide evidence for the development of prevention and control measures of fall in old population.
  
  
  METHODS
  Data of fall in people aged ≥60 years in China in 2014 were collected from National Injury Surveillance System (NISS) for the descriptive epidemiologic analysis.
  
  
  RESULTS
  A total of 41,073 fall cases were reported in people aged ≥60 years in 2014, accounting for 52.81% of total unintentional injuries in this population. The fall to unintentional injury ratio was higher in older age group. The gender ratio of fall cases was 0.77 and the proportion of females increased with age. Fall mainly occurred during 8:00-11:59 in the morning (33.31%). The top three places where fall might occur were home (55.66%), public residential places (20.52%) and roads (11.64%). Recreational activity (68.94%) and housework/study (16.14%) were the major causes for fall. The common injury sites were low limbs (29.28%), head (24.40%) and body (20.04%), while the common injuries caused by fall were bruise (45.76%) and fractures (29.52%), spain/strain (13.28%). The fall injuries were mainly mild (64.20%), while more moderate and serious fall injuries occurred in older age group.
  
  
  CONCLUSIONS
  Fall is the major cause of injury in old population in China, and the proportion of fall in unintentional injury in this population increased with age, indicating that the prevention of fall in old population should be strengthened.
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Yuliang
authors.initials: Y
authors.lastname: Er
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Leilei
authors.initials: L
authors.lastname: Duan
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Pengpeng
authors.initials: P
authors.lastname: Ye
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Cuirong
authors.initials: C
authors.lastname: Ji
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Xiao
authors.initials: X
authors.lastname: Deng
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Gao
authors.affiliation: Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Ye
authors.initials: Y
authors.lastname: Jin
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: Linhong
authors.initials: L
authors.lastname: Wang
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data*; D000368:Aged; D000369:Aged, 80 and over; D002681:China; D004777:Environment; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011998:Recreation; D012111:Residence Characteristics