Abstract

  The extent of excessive daytime sleepiness (EDS) remains unknown in Morocco. The objectives of this study are to assess the prevalence of EDS, its determinants and performance impacts among workers at a call center in Fes.

  This is a descriptive and analytical cross-sectional study of 322 workers of average age of 27.9 years and including a self-quiz on sleep disorders and working conditions with Epworth sleepiness scale (ESS) (Moroccan Arabic version), Pichot's fatigue scale, hospital anxiety depression (HAD) scale and Berlin scale. The total participation rate is 71.5%. The prevalence of EDS on the Epworth scale is 19.3%. Bivariate analysis shows that the prevalence of EDS is higher (between 24.9% and 56.2%) in case of: start of work before 8am AM, difficulty staying alert, fatigue at work, monotonous noise, degraded working conditions, poor performance, degraded family life, high anxiety score, high depression score, or pichot score ≥ 22. A significantly higher EDS is found in snorers 39.4% and those with a positive Berlin score 42.9%.

  The multivariate analysis shows that the main positive determinants of EDS are: difficulty in staying alert (OR = 3.63), fatigue at work (OR = 8.15), monotonous noise (OR = 2.20), snoring (OR = 2.87) and HAD score > 13 (OR = 1.65). The negative determinants of the EDS are: the beginning working after 8 am (OR = 0.74), the performance higher than expected (OR = 0.30) and the work satisfactory performance (OR = 0.37).

  Our study highlights the very high prevalence of EDS among call center workers, with working conditions as the main determinant. We have made recommendations based on comprehensive measures to improve working conditions and customized measures for sleepy workers.

Keywords: Shift Work; Excessive Daytime Sleepiness; Epworth Sleepiness Scale; Pichot's Fatigue Scale; Berlin Scale

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Citation

Citation: Mohammed Elbiaze. “The Prevalence of Excessive Daytime Sleepiness and its Determinants among Workers in Call Center in Fes City". Acta Scientific Medical Sciences 4.3 (2020): 01-04.

Copyright

Copyright: © 2020 Mohammed Elbiaze. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.