title: [Femoral fractures in elderly Brazilians: a spatial and temporal analysis from 2008 to 2012].
abstract: Fractures in the elderly (≥ 60 years) have a major public health impact and take a heavy social and economic toll. This article aimed to describe spatial and time trends in femoral fractures among elderly men and women in all regions of Brazil. Bayesian descriptive analyses of spatial and time series were performed on data obtained from the Hospital Information System of the Brazilian Unified National Health System, using Poisson regression for femoral fractures in individuals 60 years of age or older from 2008 to 2012. There were more than 181,000 femoral fractures during this period, predominantly in women, without important spatial correlations or temporal differences. Despite the lack of temporal and spatial correlations, the number of femoral fractures in elderly Brazilians was high, with heavy financial and social costs. Public health policies are urgently needed to control predisposing factors for femoral fractures in elderly Brazilians.
authors.affiliation: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
authors.forename: Danilo Simoni
authors.initials: DS
authors.lastname: Soares
authors.affiliation: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
authors.forename: Luane Marques de
authors.initials: LM
authors.lastname: Mello
authors.affiliation: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
authors.forename: Anderson Soares da
authors.initials: AS
authors.lastname: Silva
authors.affiliation: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
authors.forename: Edson Zangiacomi
authors.initials: EZ
authors.lastname: Martinez
authors.affiliation: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
authors.forename: Altacílio Aparecido
authors.initials: AA
authors.lastname: Nunes
mesh_terms: D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001499:Bayes Theorem; D001938:Brazil / Q000453:epidemiology; D005260:Female; D005264:Femoral Fractures / Q000453:epidemiology*; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D009313:National Health Programs; D012111:Residence Characteristics; D017678:Sex Distribution; D013029:Space-Time Clustering