Summary
This study explored whether actigraph-measured sleep quality could predict next-day cognitive performance in air traffic controllers, finding only weak correlations between total sleep time and lapses/sleepiness. The results suggest that consumer-grade actigraphy (Basis Band) and the PVT alone are insufficient predictors of operator performance, highlighting the need for more sensitive tools and multi-factor fatigue monitoring in safety-critical lighting and scheduling design.
Key Findings
- Total Sleep Time (actigraph) correlated with Number of Lapses on PVT: ρ = -0.1919, p = .0446
- Total Sleep Time (sleep diary) correlated with Number of Lapses: ρ = -0.2168, p = .0229
- Total Sleep Time (actigraph) correlated with Stanford Sleepiness Scale: ρ = -0.2059, p = .0309
- Total Sleep Time (sleep diary) correlated with Stanford Sleepiness Scale: ρ = -0.2702, p = .0043
- Actigraph and sleep diary measures of TST and awakenings differed significantly from each other, raising concerns about device accuracy
- No statistically significant correlations were found between sleep efficiency or number of awakenings and PVT performance
Categories
Shift Work & Staff Wellbeing: Examines fatigue measurement and sleep-performance relationships in air traffic controllers, a safety-critical shift-work population.
Sleep & Circadian Health: Investigates objective and subjective sleep metrics (TST, SE, awakenings) and their correlation with next-day alertness and performance.
Workplace Performance: Assesses whether prior-night sleep predicts cognitive performance (PVT reaction time, lapses) in an operational setting.
Author(s)
O Stefani, I Sommerlatte, LB Palmero, J Burkhalter
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Workplace Performance
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