Model-Derived Estimates of Police Officers’ Sleepiness Using Actual and Predicted Sleep/Wake Behavior

Details

• Personal Author:
  Andrew, Michael E. ; Dawson D ; Fekedulegn D ; Riedy SM ; Violanti JM
• Description:
  Introduction: In operational settings, managing fatigue and sustaining performance are critical to maintaining safety and productivity. Biomathematical models have been developed to predict fatigue and performance from sleep-wake histories enabling the construction of work schedules that minimize fatigue and performance impairment. Often, however, sleep-wake histories are unknown. In these cases, work schedules can be used to predict sleep-wake histories, which, in turn, can be used to predict fatigue and performance. It remains to be determined whether workers in different operations organize their sleep similarly, and whether sleep predictions generalize across operations. We assessed whether a sleep estimator developed using sleep-wake data from pilots and rail operators accurately predicts police officers' sleep-wake behavior. Methods: N=191 officers enrolled in the Buffalo Cardio-Metabolic Occupational Police Stress study were studied. Work schedules were obtained from payroll data and officers' sleep-work diaries. Sleep-wake behavior was measured using wrist-actigraphy and predicted using a biomathematical model (FAID Quantum). Fatigue exposure metrics included the proportion of shifts with <5h of sleep in the prior 24h (<5h sleep/24h) and <12h of sleep in the prior 48h (<12h sleep/48h). Sensitivity, specificity, and overall agreement were used to assess the validity of the predicted sleep-wake schedules. Results: Officers participated for 10.9 +/- 3.8 days and worked 7.6 +/- 2.8 shifts. Officers obtained <5h sleep/24h and <12h sleep/48h prior to 14.7% and 35.1% of shifts, respectively. The model predicted <5h sleep/24h and <12h sleep/48h prior to 3.3% and 18.7% of shifts, respectively. The model's sensitivity (79.5%), specificity (89.3%), and overall agreement with the actual sleep-wake data (86.6%) were high. Discussion: Officers' predicted sleep-wake behavior demonstrated high overall agreement with the officers' actual sleep-wake behavior. Sleep duration was generally overestimated, and the proportion of shifts likely worked fatigued was underestimated. It remains to be determined whether this significantly impacted the model's sleepiness predictions. [Description provided by NIOSH]
• Subjects:
  Circadian Rhythm Emergency Responders Fatigue Law Enforcement Occupational Health Safety Shift Work Schedule Sleep Sleep Initiation And Maintenance Disorders
• Keywords:
  Biological Rhythms Circadian Rhythms Emergency Responders Police Officers Shift Work Shift Workers Sleep Deprivation Work Performance Work Schedules
• ISSN:
  1984-0063
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Abstract or Summary
• Place as Subject:
  Idaho ; New York ; OSHA Region 10 ; OSHA Region 2 ; OSHA Region 3 ; Washington ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  17
• Volume:
  12
• NIOSHTIC Number:
  nn:20057988
• Citation:
  Sleep Sci 2019 Aug; 12(Suppl 3):17
• Federal Fiscal Year:
  2019
• NORA Priority Area:
  Public Safety
• Performing Organization:
  State University of New York at Buffalo
• Peer Reviewed:
  True
• Start Date:
  20100901
• Source Full Name:
  Sleep Science
• Supplement:
  3
• End Date:
  20150831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d15f5869b4db9fad21536e86e1ba8fb85382a23cb51f07f8d03bfac6968d73177c4e32fc5bbc1f479bafbf513583c24b7ac4b1c570edd2437dfa0bce22159c58
• Download URL:
  https://stacks.cdc.gov/view/cdc/215182/cdc_215182_DS1.pdf
• File Type:
  [PDF - 181.07 KB ]