Mandacarú Polyana Maria Pimenta, Rabelo Ionara Vieira Moura, Silva Maria Aparecida Alves da, Tobias Gabriela Camargo, Morais Neto Otaliba Libânio de
Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, Brazil.
Regional de Goiás, Universidade Federal de Goiás, Cidade de Goiás, GO, Brazil.
Epidemiol Serv Saude. 2018;27(2):e2017295. doi: 10.5123/s1679-49742018000200001. Epub 2018 May 7.
to identify the magnitude and factors associated with death and serious injuries among victims of traffic accidents in the urban area of Goiânia, Brazil.
cross-sectional study with linkage between records of the Mortality Information System (SIM) Hospital Information System of the Brazilian National Health System (SIH/SUS) and occurrences of traffic accidents, from January to June 2013; Poisson regression was used.
among 9,795 identified victims, there were 155 deaths and 1,225 serious injuries; cyclists (Incidence ratio [IR]=2.26; 95%CI 1.19;4.30) and pedestrians (IR=2.12; 95%CI 1.26;3.58) had an increased risk of death, while the risk of serious injuries was higher among motorcyclists (IR=2.38; 95%CI 2.01;2.83), cyclists (IR=2.35; 95%CI 1.76;3.13) and pedestrians (IR=2.83; 95%CI 2.27;3.53).
the study revealed a number of deaths and serious injuries, closer to the real and identified vulnerable groups to plan traffic safety actions.
确定巴西戈亚尼亚市区交通事故受害者中与死亡和重伤相关的规模及因素。
2013年1月至6月,采用横断面研究,将巴西国家卫生系统的死亡信息系统(SIM)与医院信息系统(SIH/SUS)的记录与交通事故发生情况相联系;使用泊松回归分析。
在9795名已确认的受害者中,有155人死亡,1225人重伤;骑自行车者(发病率比[IR]=2.26;95%置信区间1.19;4.30)和行人(IR=2.12;95%置信区间1.26;3.58)死亡风险增加,而骑摩托车者(IR=2.38;95%置信区间2.01;2.83)、骑自行车者(IR=2.35;95%置信区间1.76;3.13)和行人(IR=2.83;95%置信区间2.27;3.53)重伤风险更高。
该研究揭示了大量死亡和重伤情况,更接近实际情况,并确定了弱势群体,以便规划交通安全行动。