Generalizability of a biomathematical model of fatigue’s sleep predictions

Details

• Alternative Title:
  Chronobiol Int
• Personal Author:
  Riedy, Samantha M. ; Fekedulegn, Desta ; Andrew, Michael ; Vila, Bryan ; Dawson, Drew ; Violanti, John
• 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.
  
  
• Subjects:
  Article Biomathematical Model Policing Shift Work Sleep Sleepiness
• Source:
  Chronobiol Int. 37(4):564-572
• Pubmed ID:
  32241186
• Pubmed Central ID:
  PMC7735394
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHS/United States ; R01 OH009640/OH/NIOSH CDC HHS/United States
• Volume:
  37
• Issue:
  4
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:643e8a808edf608b47a3f880841b660d28e256bd1d53ad8fc43cbe09f1bed9ef
• Download URL:
  https://stacks.cdc.gov/view/cdc/98835/cdc_98835_DS1.pdf
• File Type:
  [PDF - 294.78 KB ]