Abstract

WONG, Paolo; GUTIERREZ, César  and  ROMANI, franco. Self-reporting of road traffic accidents in a national survey of urban population in Peru. Rev. perú. med. exp. salud publica [online]. 2010, vol.27, n.2, pp.170-178. ISSN 1726-4634.

Objectives. To estimate the frequency of self-reporting of road traffic accidents in the previous year in the general population and to determine the associated factors. Materials and methods. We conducted a secondary analysis of the data of the III National Survey of Drug Use in the General Population of Peru, 2006. We measured socio-demographical variables: age, gender, place of origin, educational level and marital status. We also evaluated the use of legal, illegal and medical drugs. The independent variable was the self-reporting of a road traffic accident. We performed the descriptive, bivariate and multivariate analysis of the socio-demographical variables and the drug use (legal and illegal), together with the self-reporting of the traffic accident. Results. The frequency of reporting of road traffic accidents in the last year according to the survey was 2.93% (95%CI: 2.92-2.94). The associated factors for self-reporting of a road traffic accident were: to live in the jungle areas (OR: 2.03; 95%CI:1.55-2.65), male gender (OR: 1.79; 95%CI: 1.46-2.22), legal drugs use in the last year (OR: 1.98, 95%CI: 1.53-2.55), alcohol consumption in the last year (OR: 1.82; 95%CI: 1.44-2.32) and medical drugs use in the last year (OR: 2,45, 95%CI 1,63-3,68). Conclusions. The prevalence of self-reporting of road traffic accidents in the last year was very high compared to similar studies and other reporting sources. The variables associated with having had a traffic accident were: living in the jungle area, being male, legal drug use in the last month, especially alcohol and medical drug use in the last month. It is necessary to think carefully about the information system of the road traffic accidents in order to achieve a better picture of the problem putting emphasis in the legal drugs use.

Keywords : Accidents, traffic; Risk; Alcohol abuse; Cluster sampling; Data sources; Peru.

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