Details:

Creators:
Rizzo, Matthew ; Tippin, Jon ; Aksan, Nazan
Rizzo, Matthew ; Tippin, Jon ; Aksan, Nazan Less -
Corporate Creators:
University of Iowa Hospitals & Clinics. Dept. of Neurology
Corporate Contributors:
United States. Federal Highway Administration
Subject/TRT Terms:
[+]
Apnea Behavior Commercial Drivers Diagnostic Tests Fatigue (Physiological Condition) Field Tests Sleep Deprivation Traffic Law Enforcement Truck Drivers
Publication/ Report Number:
RB21-012
Resource Type:
Tech Report
Geographical Coverage:
United States
Corporate Publisher:
Iowa. Dept. of Transportation
NTL Classification:
NTL-SAFETY AND SECURITY-Highway Safety;NTL-SAFETY AND SECURITY-Human Factors;
Abstract:
The overarching goal of this project was to identify and evaluate cognitive and behavioral indices that are sensitive to sleep

deprivation and may help identify commercial motor vehicle drivers (CMV) who are at-risk for driving in a sleep deprived

state and may prove useful in field tests administered by officers. To that end, we evaluated indices of driver physiognomy

(e.g., yawning, droopy eyelids, etc.) and driver behavioral/cognitive state (e.g. distracted driving) and the sensitivity of these

indices to objective measures of sleep deprivation. The measures of sleep deprivation were sampled on repeated

occasions over a period of 3.5-months in each of 44 drivers diagnosed with Obstructive Sleep Apnea (OSA) and 22 controls

(matched for gender, age within 5 years, education within 2 years, and county of residence for rural vs. urban driving).

Comprehensive analyses showed that specific dimensions of driver physiognomy associated with sleepiness in previous

research and face-valid composite scores of sleepiness did not: 1) distinguish participants with OSA from matched controls;

2) distinguish participants before and after PAP treatment including those who were compliant with their treatment; 3)

predict levels of sleep deprivation acquired objectively from actigraphy watches, not even among those chronically sleep

deprived. Those findings are consistent with large individual differences in driver physiognomy. In other words, when

individuals were sleep deprived as confirmed by actigraphy watch output they did not show consistently reliable behavioral

markers of being sleep deprived. This finding held whether each driver was compared to him/herself with adequate and

inadequate sleep, and even among chronically sleep deprived drivers. The scientific evidence from this research study does

not support the use of driver physiognomy as a valid measure of sleep deprivation or as a basis to judge whether a CMV

driver is too fatigued to drive, as on the current Fatigued Driving Evaluation Checklist.. Fair and accurate determinations of

CMV driver sleepiness in the field will likely require further research on alternative strategies that make use of a

combination of information sources besides driver physiognomy, including work logs, actigraphy, in vehicle data recordings,

GPS data on vehicle use, and performance tests.


Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:97758b16c59819bb46cacb7c67fe13f3f41cdd95557c011875ddad61333bdc34
Download URL:
https://rosap.ntl.bts.gov/view/dot/26300/dot_26300_DS1.pdf
File Type:

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