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Medicina y Seguridad del Trabajo

On-line version ISSN 1989-7790Print version ISSN 0465-546X


RANCHAL-SANCHEZ, A.; FONT, P.; LOPEZ-CABELLO, P.  and  PERULA DE TORRES, L.A.. Winmedtrad utility to know the smoking addiction prevalence in a reference hospital. Med. segur. trab. [online]. 2015, vol.61, n.239, pp.172-183. ISSN 1989-7790.

Introduction: creating smoke-free workplaces still remains the most implemented action concerning tobacco smoking. WinMedtra is the Andalusian Health Service corporate software for the medical surveillance. AIM: by using this application, we intend to show its utility in calculating the smoking prevalence in a reference hospital. Material and Methods: an observational study was performed based on health examinations conducted in 2013 (n = 1672). After extracting data related with the tobacco consumption from WinMedtra, a descriptive and inferential statistics (student, simple anova and Chi-square statistical tests) were performed. We calculated arithmetic means and standard deviations for quantitative variables; and absolute and relative frequencies for qualitative variables. Confidence intervals up to 95% were calculated for the main estimates. Results: the application allowed us to obtain smoking habits data in the interviewed working population. The smoking prevalence active subjects were 22.8% (95% CI: 20.79%-24.81%); 19.8% were former smokers so 77.2% did not smoke during the period study (95% CI: 75.19% -79.21%). The accumulated smoking intake was higher in the group of men than in that of women (21.08 ± 16.31 versus 15.38 ± 13.28 packs/year) (t: 3.61, p<0.001). Significant differences (p <0.001) were obtained by comparing the average age of nonsmokers and that of smokers, (48.33 ± 9.82 versus 50.55 ± 7.62 years) and former smokers (48.33 ± 9.82 versus 50.65 ± 8.32 years). Regarding occupational status, the highest "Non Smokers" percentage belonged to the resident workers (87%) followed by the chief group (75%). The group of administrative assistants (34.7%) and the supervisors (33.3%) had the highest "Smokers" percentage (Chi-square = 131.23, p<0.001). Conclusions: the software application may be useful to have an accurate epidemiological knowledge about the magnitude of addictive behavior like smoking in workplaces. We have obtained a lower smoking prevalence compared to the area in our study.

Keywords : Prevalence; Smoking Addiction; Smoking Resumption; Workers.

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