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Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications .

Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications . Overview: On-shift safety is critical but . . . Safety is more than on-shift Funding to examine driving and SW: Why? Number of risk factors Shiftwork + Time-of-day + Task Growth in 12h & relocation effect.

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Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications .

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  1. Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications.

  2. Overview: • On-shift safety is critical but . . . • Safety is more than on-shift • Funding to examine driving and SW: Why? • Number of risk factors • Shiftwork + Time-of-day + Task • Growth in 12h & relocation effect

  3. Risk Factors: • Shiftwork • Human biology is diurnal & hard-wired; Eg: body temp; cortisol; melatonin; mood & performance • SW disrupts synchrony & pacemaker is inflexible  conflicting messages •  sleep drive but  cortisol & body temp

  4. Health impacts of SW: • Physiological; Psychological; Social • Sleep after NS  2-4h less than day • Mood; Impaired performance •  RT;  attention lapses • Self paced work (Smith, 1994) • Fatigue & sleepiness

  5. 2: Time of day:

  6. 3: Driving task: • Monotonous • ‘Boring’ environment • Unforgiving roads • Summary: Sleep loss + TOD + Task • Driving – sensitive to sleep loss & bio demands

  7. Evidence to date: • Long hours & driving do not mix • Medical students; manufacturing • SW + 12h  risk of fall asleep compared to DW • < 6h sleep:  driving impairment •  attention lapses, lane drift • No studies of LDD & SW

  8. Study: • Surveyed 1600 drivers; Capricorn & Peak Downs H’way • Between 08 – 10 • Some 21% of traffic flow • Work, travel and fatigue

  9. Results: • Two excluded for BAC ≥ 0.05 • 12% SW; Miners = 93% • 30% 4x12h NS; 29% 2x12 NS (Range = 1–14) • One-way travel 211 km (max 655 km) • 19 drivers between shifts – 581km • One driver; left at 02:00 to drive 1300

  10. Results: • ≥ 7; SW = 19%; NSW = 1%

  11. Results: • 13% fell asleep driving to DS • 23% fell asleep driving from NS • Fall asleep linked with lane drifting • Linked to <6h sleep • Return travel – bi modal

  12. Discussion: • Long distances driven post NS • Some indicators of increased accident risk but none reported!! • Simulator studies show ≥7 with increased accidents • Seems that shift schedule drives travel pattern • Expect DIDOW estimate to be higher?

  13. Solutions: • Education • Sleep facility • Modify schedule design • Transport arrangements

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