Generalizability of a Biomathematical Model of Fatigue’s Sleep Predictions

Details

• Personal Author:
  Andrew M ; Dawson D ; Fekedulegn D ; Riedy SM ; Vila B ; Violanti J
• Description:
  Introduction: Biomathematical models of fatigue (BMMF) predict fatigue during a work-rest schedule on the basis of sleep-wake histories. In the absence of actual sleep-wake histories, sleep-wake histories are predicted directly from work-rest schedules. The predicted sleep-wake histories are then used to predict fatigue. It remains to be determined whether workers organize their sleep similarly across operations and thus whether sleep predictions generalize. Methods: Officers (n = 173) enrolled in the Buffalo Cardio-Metabolic Occupational Police Stress study were studied. Officers' sleep-wake behaviors were measured using wrist-actigraphy and predicted using a BMMF (FAID Quantum) parameterized in aviation and rail. Sleepiness (i.e. Karolinska Sleepiness Scale (KSS) ratings) was predicted using actual and predicted sleep-wake data. Data were analyzed using sensitivity analyses. Results: During officers' 16.0 +/- 1.9 days of study participation, they worked 8.6 +/- 3.1 shifts and primarily worked day shifts and afternoon shifts. Across shifts, 7.0 h +/- 1.9 h of actual sleep were obtained in the prior 24 h and associated peak KSS ratings were 5.7 +/- 1.3. Across shifts, 7.2 h +/- 1.1 h of sleep were predicted in the prior 24 h and associated peak KSS ratings were 5.5 +/- 1.2. The minute-by-minute predicted and actual sleep-wake data demonstrated high sensitivity (80.4%). However, sleep was observed at all hours-of-the-day, but sleep was rarely predicted during the daytime hours. Discussion: The sleep-wake behaviors predicted by a BMMF parameterized in aviation and rail demonstrated high sensitivity with police officers' actual sleep-wake behaviors. Additional night shift data are needed to conclude whether BMMF sleep predictions generalize across operations. [Description provided by NIOSH]
• Subjects:
  Behavior Fatigue Law Enforcement Occupational Health Safety Sleep
• Keywords:
  Author Keywords: Biomathematical Model Behavior Patterns Biological Rhythms Police Officers Policing Rest Periods Shift Work Shift Workers Sleepiness Work Schedules
• ISSN:
  0742-0528
• Document Type:
  Text
• Funding:
  Grant ; Contract
• Genre:
  Journal Article
• Place as Subject:
  New York ; OSHA Region 10 ; OSHA Region 2 ; OSHA Region 3 ; Pennsylvania ; 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
• Volume:
  37
• Issue:
  4
• NIOSHTIC Number:
  nn:20059274
• Citation:
  Chronobiol Int 2020 Apr; 37(4):564-572
• Contact Point Address:
  Samantha M. Riedy, Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine, 1020 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104-6021, USA
• Email:
  samantha.riedy@pennmedicine.upenn.edu
• Federal Fiscal Year:
  2020
• NORA Priority Area:
  Public Safety
• Performing Organization:
  State University of New York at Buffalo
• Peer Reviewed:
  True
• Start Date:
  20100901
• Source Full Name:
  Chronobiology International
• End Date:
  20150831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:894eb56e43c3a10bd550a650bb06cf4f269bff8373fd971ef31cea23abfbf6c37aaca77e329521a322160c718b17aed92634ec40768a4c398f5b71c813e4d0d4
• Download URL:
  https://stacks.cdc.gov/view/cdc/223552/cdc_223552_DS1.pdf
• File Type:
  [PDF - 1.28 MB ]