title: [Spatial distribution of risks for work-related injuries in a city of Southeastern Brazil].
abstract: OBJECTIVE
  To assess spatial distribution of risks for work-related injuries controlled for nutritional variables and other covariables.
  
  
  METHODS
  Hospital-based spatial case-control study with work-related injuries spatial distribution as the main variable of interest. A total of 794 workers were selected between May and October 2004. Inclusion criteria for cases (N=263) were: worker with work-related injury; living in Piracicaba (Southeastern Brazil); age between 15 and 60 years old; and cared at an orthopedics and trauma center. Controls (N=531) met the same criteria for age and residence, but had non-work-related injuries and workers accompanying cases were included as well. Spatial distribution was estimated by adjusting a generalized additive model with geographical coordinates of cases and controls as spatial non-linear component and the remaining covariables as linear components.
  
  
  RESULTS
  The variation of estimated spatial risks for work-related injuries controlled for gender (OR=1.87, p<0.001), schooling (OR=0.85, p<0.0001), self-employed (OR=0.36, p<0.01), and waist circumference (OR=0.98, p=0.05) showed that the mideastern area and north-to-south "strip" have higher risk for injuries.
  
  
  CONCLUSIONS
  The use of geoprocessing tools and nutritional variables can provide input for understanding the universe of risks for work-related injuries. Further investigation exploring these factors is needed.
authors: Programa de pós-graduação em Saúde Coletiva, Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas, SP, Brazil. liatoz@fcm.unicamp.br
authors: Lia Thieme Oikawa
authors: LT
authors: Zangirolani
authors: Ricardo
authors: R
authors: Cordeiro
authors: Maria Angélica Tavares de
authors: MA
authors: Medeiros
authors: Celso
authors: C
authors: Stephan
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D001837:Body Weights and Measures; D001938:Brazil / Q000453:epidemiology; D016022:Case-Control Studies; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D008297:Male; D008875:Middle Aged; D009790:Occupations / Q000706:statistics & numerical data*; D018570:Risk Assessment; D012307:Risk Factors; D012959:Socioeconomic Factors; D017132:Workplace / Q000706:statistics & numerical data*