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<p>The study examined levels of daytime sleepiness, occupational fatigue, perceived work functioning and occupational balance among suburban metro train drivers, and identified independent predictors of daytime sleepiness. A cross-sectional study was conducted with 191 public transport train drivers who completed validated self-report measures assessing sleep-related functional outcomes (FOSQ), daytime sleepiness (ESS), occupational fatigue (SOFI), work role functioning (WRFQ) and occupational balance (OBQ-E). Descriptive analyses and Pearson correlations were performed, and a multiple linear regression model adjusted for work shift identified independent predictors of daytime sleepiness. Clinically relevant levels of daytime sleepiness (ESS median 11, IQR 7–15) and occupational fatigue were observed. Sleepiness showed a moderate positive correlation with occupational fatigue (<i>r</i> = .544, <i>p</i> &lt; .001) and negative correlations with occupational balance (<i>r</i> = − .419, <i>p</i> &lt; .001) and work role functioning (<i>r</i> = − .434, <i>p</i> &lt; .001). The regression model adjusted for work shift was significant (F(6,173) = 17.00, <i>p</i> &lt; .001) and explained 37.1% of the variance. Occupational fatigue (β = 0.298, <i>p</i> = .002), occupational balance (β = −0.210, <i>p</i> = .007) and work role functioning (β = −0.169, <i>p</i> = .045) were significant predictors of daytime sleepiness, whereas work-shift categories were not significant after adjustment. Interventions targeting fatigue management and occupational balance may help reduce sleepiness and enhance operational safety.</p>

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Occupational sleepiness in suburban metro drivers: association with fatigue, occupational balance and work functioning

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月25日

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  • Sergio Serrada-Tejeda,
  • Marta Pérez-de-Heredia-Torres,
  • Lucía Hernández-Hernández,
  • Paula Obeso-Benítez,
  • Lucía Simón-Vicente,
  • Rosa M. Martínez-Piédrola,
  • Patricia Sánchez-Herrera-Baeza

摘要

The study examined levels of daytime sleepiness, occupational fatigue, perceived work functioning and occupational balance among suburban metro train drivers, and identified independent predictors of daytime sleepiness. A cross-sectional study was conducted with 191 public transport train drivers who completed validated self-report measures assessing sleep-related functional outcomes (FOSQ), daytime sleepiness (ESS), occupational fatigue (SOFI), work role functioning (WRFQ) and occupational balance (OBQ-E). Descriptive analyses and Pearson correlations were performed, and a multiple linear regression model adjusted for work shift identified independent predictors of daytime sleepiness. Clinically relevant levels of daytime sleepiness (ESS median 11, IQR 7–15) and occupational fatigue were observed. Sleepiness showed a moderate positive correlation with occupational fatigue (r = .544, p < .001) and negative correlations with occupational balance (r = − .419, p < .001) and work role functioning (r = − .434, p < .001). The regression model adjusted for work shift was significant (F(6,173) = 17.00, p < .001) and explained 37.1% of the variance. Occupational fatigue (β = 0.298, p = .002), occupational balance (β = −0.210, p = .007) and work role functioning (β = −0.169, p = .045) were significant predictors of daytime sleepiness, whereas work-shift categories were not significant after adjustment. Interventions targeting fatigue management and occupational balance may help reduce sleepiness and enhance operational safety.