Mi SciELO
Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
Enfermería Global
versión On-line ISSN 1695-6141
Resumen
RAMOS CAVALCANTI, Isa Gabriela Oliveira; VALENCA FERNANDES, Flávia Emília Cavalcante y MOLA, Rachel. Prevalence and factors associated with motorcycle accidents by area of occurrence. Enferm. glob. [online]. 2020, vol.19, n.59, pp.93-134. Epub 10-Ago-2020. ISSN 1695-6141. https://dx.doi.org/10.6018/eglobal.389411.
Descriptive, analytical and documentary research that analyzed the prevalence and factors associated with motorcycle accidents according to the area of occurrence. The data came from prehospital care records. Descriptive and inferential statistics were performed, and the associated factors were analyzed using binary logistic regression, adopting a significance of 5% and 95% confidence. The sample totaled 1,039 victims. Most of the records occurred in the urban area, involving the male, where the victim was the driver of the vehicle, had not ingested alcohol and used the helmet. Most of the attendances were performed by the Emergency Mobile Attendance Service, at the end of the week and at night shift. The mean score of the Glasgow Coma Scale for the urban area was slightly higher than the rural one, with a significant difference. The mean time between the request for care and the arrival at the place of occurrence, as well as between the request for care and hospital admission were significant, being prevalent for rural areas. In the bivariate analysis of the association of traffic accidents by motorcycle with the occurrence zone, the variables that showed a significant association were: Glasgow coma scale, time between request and arrival of the service, time between request of service and admission hospital, sex, alcohol intake, helmet use, other party involved, period of occurrence, accident turn, type of care and discharge type of the victim.
Palabras clave : Traffic Accidents; Motorcycles; Urban area; Countryside; Prehospital Care.