Spatial distribution of risks for work-related injuries in a city of Southeastern e Brazil

Authors

  • Lia Thieme Oikawa Zangirolani Universidade Estadual de Campinas; Faculdade de Ciências Médicas; Programa de pós-graduação em Saúde Coletiva
  • Ricardo Cordeiro Unicamp; FCM; Departamento de Medicina Preventiva e Social
  • Maria Angélica Tavares de Medeiros Universidade Estadual de Campinas; Faculdade de Ciências Médicas; Programa de pós-graduação em Saúde Coletiva
  • Celso Stephan Universidade Estadual de Campinas; Faculdade de Ciências Médicas; Programa de pós-graduação em Saúde Coletiva

DOI:

https://doi.org/10.1590/S0034-89102008000200014

Keywords:

Accidents, Occupational, Risk Factors, Geographic Information Systems^i2^sutilizat, Case-Control Studies

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.

Published

2008-04-01

Issue

Section

Original Articles

How to Cite

Zangirolani, L. T. O., Cordeiro, R., Medeiros, M. A. T. de, & Stephan, C. (2008). Spatial distribution of risks for work-related injuries in a city of Southeastern e Brazil . Revista De Saúde Pública, 42(2), 287-293. https://doi.org/10.1590/S0034-89102008000200014