Citation

Akkoyunlu ME, Kart L, Uludağ M, Bayram M, Alisha G, Ozçelik H, Karaköse F, Sezer M. Tuberk. Toraks 2013; 61(1): 33-37.

Vernacular Title

Şehir içi araç kullanan şoförlerde obstrüktif uyku apne sendromu semptomları ve trafik kazası ilişkisi.

Affiliation

Department of Chest Diseases, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey. eminakkoyunlu@gmail.com.

Copyright

(Copyright © 2013, Istiklal Matbaacilik ve Gazetecilik Koll. Ort.,)

DOI

unavailable

PMID

23581263

Abstract

Introduction: There is a high tendency for traffic accidents in patients with obstructive sleep apnea syndrome (OSAS). Thus it's recommended to investigate OSAS symptoms before certification of professional drivers. However, to what degree OSAS symptoms predict traffic accidents is not clear. We aimed to investigate the relationship between OSAS symptoms and traffic accidents. Materials and Methods: Five hundred twenty bus drivers working at Istanbul Electricity, Tramway and Tunnel (IETT) general management were randomly selected. Berlin questionnaire was applied which included demographic data, accident ratios, total duration in profession, duration of working in a day and OSAS symptoms. Epworth sleepiness score (ESS) test was applied to assess day time slepiness. Results: All drivers were male. Snoorring were present in 324 (65.7%) of participants. Traffic accident history were present in 259 (49.7%) of drivers. Significant relationship was present between traffic accident and only daytime sleepiness among the OSAS symptoms. The mean of accident/year ratio of all participants were 0.092. Mean of ESS was 7.3 ± 3.2 for all participants. There is a positive correlation between ESS and accident/year ratio (r= 0.57, p= 0.012). Conclusion: Only daytime sleepiness among OSAS symptoms is related with traffic accident. The questioning of OSAS symptoms alone is inadequate to estimate traffic accident risk. Thus further consideration more than symptom questioning is needed at phase of authorization of professional drivers to detect OSAS.

Language: tr