مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

136
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

77
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Motor Vehicle Accidents in Patients with Excessive Daytime Sleepiness

Pages

  21-24

Abstract

 Background and Objective: Excessive daytime Sleepiness (EDS) is a common problem in patients referred to Sleep clinics, which could result in adverse consequences in their personal and social activities including motor vehicle acci-dents (MVAs). Epworth Sleepiness Scale (ESS) and Multiple Sleep Latency Test (MSLT) are known methods for measuring EDS. In this study, we aimed to evaluate the relationship between EDS and MVAs. Materials and Methods: Medical records of 144 patients (106 men) with EDS referred to Baharloo Sleep Clinic, Tehran, Iran, were assessed in this cross-sectional study. All participants filled out a questionnaire including demo-graphic characteristics, ESS, and history of MVAs due to Sleepiness in the last five years and underwent full-night poly-somnography (PSG) and MSLT. Sleepiness was categorized to normal, moderate, or severe according to mean Sleep latency (MSL) in MSLT. Results: Patients with history of MVAs had a significantly less MSL and higher ESS scores than those without MVAs (6. 6 ± 3. 9 vs. 9. 3 ± 6. 5, P = 0. 038; and 17. 9 ± 4. 4 vs. 15. 6 ± 5. 5, P = 0. 030, respectively). MVAs were reported in 41. 9%, 31. 0%, and 16. 1% of patients with severe, moderate, and normal Sleepiness, respectively. There was a signif-icant relationship between severity of Sleepiness and history of MVAs (P = 0. 020). Regression analysis showed that after adjustment for age and sex, ESS and MSL remained significantly different between patients with and without MVAs. Conclusion: ESS score and MSL would help Sleep clinicians to find high-risk patients for safety-sensitive jobs, the issue which should not be overlooked by them during visits in Sleep clinic.

Cites

  • No record.

    • References

    Cite

    APA: Copy

    NAJAFI, AREZOU, SADEGHNIIAT HAGHIGHI, KHOSRO, Khajeh Mehrizi, Ahmad, & Rahimi Golkhandan, Ania. (2018). Motor Vehicle Accidents in Patients with Excessive Daytime Sleepiness. JOURNAL OF SLEEP SCIENCES, 3(1-2), 21-24. SID. https://sid.ir/paper/354809/en

    Vancouver: Copy

    NAJAFI AREZOU, SADEGHNIIAT HAGHIGHI KHOSRO, Khajeh Mehrizi Ahmad, Rahimi Golkhandan Ania. Motor Vehicle Accidents in Patients with Excessive Daytime Sleepiness. JOURNAL OF SLEEP SCIENCES[Internet]. 2018;3(1-2):21-24. Available from: https://sid.ir/paper/354809/en

    IEEE: Copy

    AREZOU NAJAFI, KHOSRO SADEGHNIIAT HAGHIGHI, Ahmad Khajeh Mehrizi, and Ania Rahimi Golkhandan, “Motor Vehicle Accidents in Patients with Excessive Daytime Sleepiness,” JOURNAL OF SLEEP SCIENCES, vol. 3, no. 1-2, pp. 21–24, 2018, [Online]. Available: https://sid.ir/paper/354809/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button