title: [Profile of elderly admitted to public hospitals of Niterói (RJ) due to falls].
abstract: OBJECTIVE
  to describe the common characteristics of elderly people admitted to public hospitals of Niterói (RJ) due to falls.
  
  
  METHODS
  Cross-sectional study with 110 elderly patients (60 years and more) admitted to public hospitals in Niteroi - RJ, with fractures after falls. Data were collected by a multidimensional questionnaire. Multiple correspondence and cluster analysis were used to describe the characteristics of this population.
  
  
  RESULTS
  The results indicated four groups. The first group was formed by individuals with better physical conditions who did not have a hip fracture, were more independent, used to go out more than twice a week, had good vision, had a short hospital stay, and were discharged to their homes. There was a group with worse conditions including those who were less independent, had a long hospital stay (more than 30 days), and died at the hospital. A third group was formed by those who had had a hip fracture, had poor vision, and used to go out less than once a week. The fourth group was comprised of those who stayed in the hospital from 11 to 30 days and used to go out once or twice a week.
  
  
  CONCLUSIONS
  The multiple correspondence analysis proved to be a good technique to identify subgroups with common characteristics, which provides tools for the creation of strategies for fall prevention programs.
authors.affiliation: Escola Nacional de Saúde Pública da Fundação Oswaldo, FIOCRUZ, Rio de Janeiro, Brazil. fatima.lima.paula@gmail.com
authors.forename: Fátima de Lima
authors.initials: Fde L
authors.lastname: Paula
authors.forename: Maria de Jesus Mendes
authors.initials: Mde J
authors.lastname: da Fonseca
authors.forename: Raquel de Vasconcellos Carvalhaes
authors.initials: Rde V
authors.lastname: de Oliveira
authors.forename: Suely
authors.initials: S
authors.lastname: Rozenfeld
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data*; D000368:Aged; D000369:Aged, 80 and over; D001938:Brazil; D003430:Cross-Sectional Studies; D005260:Female; D006779:Hospitals, Public; D006801:Humans; D008297:Male; D008875:Middle Aged