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9990 · 4.4.2

Temporal conditions of work environments — practice questions

Practice and worked examples for 9990 Temporal conditions of work environments. Short previews only — attempt the full question in MarkScheme against the official scheme.

Worked example 1

A chemical plant uses rotating night shifts. Error rates spike between 02:00 and 04:00, yet management refuses flexitime for day staff citing 'fairness.' Analyse using circadian rhythms and link to safety.

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Circadian rhythm: Core body temperature and alertness dip at night — performance on monitoring tasks falls in the 02:00–04:00 window (circadian trough), increasing human error risk.

Shift work: Rotating shifts prevent full adaptation — workers remain desynchronised from natural sleep-wake cycle, causing fatigue and microsleeps.

Safety (Reason's Swiss cheese): Fatigue is one hole aligning with procedure lapses and equipment complexity → accidents (see 4.4.3).

Flexitime for day staff: Separate issue from nights but improves day-worker satisfaction (JCM autonomy) without fixing night errors — need scheduled breaks, light exposure, limit consecutive nights.

Evaluation: Chronotype means some 'owls' cope better on nights but most do not. Economic cost of shift premiums vs accident cost must be weighed. Flexitime fairness argument is weak — different roles have different temporal demands.

Worked example 2

A logistics company uses a slow, backward-rotating shift system. Last year, they recorded 30 workplace accidents and 920 total sick days. A consultant proposes switching to a rapid, forward-rotating system, predicting it will reduce accidents by 35% and absenteeism by 20%. Calculate the predicted number of accidents and sick days for the next year under the new system and explain the psychological rationale for this change.

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Step 1: Calculate Predicted Accidents

  • Current accidents = 30
  • Predicted reduction = 35% = 0.35
  • Reduction in accidents = 30 * 0.35 = 10.5
  • Predicted new total accidents = 30 - 10.5 = 19.5 accidents (or approximately 19-20 accidents).

Step 2: Calculate Predicted Sick Days

  • Current sick days = 920
  • Predicted reduction = 20% = 0.20
  • Reduction in sick days = 920 * 0.20 = 184
  • Predicted new total sick days = 920 - 184 = 736 sick days.

Step 3: Psychological Rationale

  • The current backward-rotating system (e.g., nights → evenings → days) works against the body's natural circadian rhythm, which tends to phase-delay (drift later). This causes significant desynchronisation, leading to chronic fatigue, poor sleep quality, and increased stress, contributing to both accidents (impaired cognitive function) and sickness absence (weakened immune system).
  • The proposed forward-rotating system (days → evenings → nights) is less disruptive as it aligns better with the natural phase-delay of the circadian rhythm, making it easier for the body to adjust between shifts.
  • The rapid rotation (e.g., changing every 2-3 days) prevents the body clock from attempting a full, but ultimately unsuccessful, adaptation to the night shift. This reduces the cumulative fatigue associated with slow rotation, leading to better alertness, fewer errors (accidents), and improved overall health (reduced absenteeism).