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Volumn 56, Issue 9, 2008, Pages 379-385
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Identifying variables that predict falling asleep at the wheel among long-haul truck drivers.
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Author keywords
[No Author keywords available]
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Indexed keywords
ARTICLE;
ATTITUDE TO HEALTH;
CAR DRIVING;
CIRCADIAN RHYTHM SLEEP DISORDER;
FATIGUE;
FEMALE;
HOSPITALIZATION;
HUMAN;
MALE;
MULTIVARIATE ANALYSIS;
NURSING METHODOLOGY RESEARCH;
OCCUPATIONAL DISEASE;
OCCUPATIONAL HEALTH NURSING;
PREDICTION AND FORECASTING;
QUESTIONNAIRE;
RISK ASSESSMENT;
RISK FACTOR;
STATISTICAL MODEL;
STATISTICS;
TIME;
TRAFFIC ACCIDENT;
TRAFFIC AND TRANSPORT;
UNITED STATES;
WORK SCHEDULE;
ACCIDENTS, TRAFFIC;
ATTITUDE TO HEALTH;
AUTOMOBILE DRIVING;
FATIGUE;
FEMALE;
HUMANS;
IOWA;
KENTUCKY;
LOGISTIC MODELS;
MALE;
MULTIVARIATE ANALYSIS;
NURSING METHODOLOGY RESEARCH;
OCCUPATIONAL DISEASES;
OCCUPATIONAL HEALTH NURSING;
PREDICTIVE VALUE OF TESTS;
QUESTIONNAIRES;
RISK ASSESSMENT;
RISK FACTORS;
SEVERITY OF ILLNESS INDEX;
SLEEP DISORDERS, CIRCADIAN RHYTHM;
TEXAS;
TIME FACTORS;
TRANSPORTATION;
WORK SCHEDULE TOLERANCE;
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EID: 58149131843
PISSN: 08910162
EISSN: None
Source Type: Journal
DOI: 10.3928/08910162-20080901-05 Document Type: Article |
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Times cited : (10)
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References (0)
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