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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Lia Thieme Oikawa Zangirolani [1] ; Ricardo Cordeiro [2] ; Maria Angélica Tavares de Medeiros [3] ; Celso Stephan [4]
Total Authors: 4
Affiliation:
[1] Universidade Estadual de Campinas. Faculdade de Ciências Médicas. Programa de pós-graduação em Saúde Coletiva - Brasil
[2] Unicamp. FCM. Departamento de Medicina Preventiva e Social - Brasil
[3] Universidade Estadual de Campinas. Faculdade de Ciências Médicas. Programa de pós-graduação em Saúde Coletiva - Brasil
[4] Universidade Estadual de Campinas. Faculdade de Ciências Médicas. Programa de pós-graduação em Saúde Coletiva - Brasil
Total Affiliations: 4
Document type: Journal article
Source: Revista de Saúde Pública; v. 42, n. 2, p. 287-293, 2008-04-00.
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. (AU)