22 research outputs found
Association of ADHD and external distraction with driver responsibility, multivariate logistic regression (nâ=â777).
<p>Adjusted for internal distraction, alcohol use, psychotropic drug use, sleep deprivation, professional driver, gender, age, depressive disorders and anxiety disorders. (+) and (â) represent presence or absence of the risk factor.</p
Association of ADHD and internal distraction with driver responsibility, multivariate logistic regression (nâ=â777).
<p>Adjusted for external distraction, alcohol use, psychotropic drug use, sleep deprivation, professional driver, gender, age, depressive disorders and anxiety disorders. (+) and (â) represent presence or absence of the risk factor.</p
Sample characteristics and univariate analysis of driver responsibility for road traffic crashes, univariate logistic regression (nâ=â777).
<p>Sample characteristics and univariate analysis of driver responsibility for road traffic crashes, univariate logistic regression (nâ=â777).</p
Characteristics of the study populationâComparison between drivers responsible and not responsible for the road crash (n = 954).
<p>Characteristics of the study populationâComparison between drivers responsible and not responsible for the road crash (n = 954).</p
Capture-Recapture Stratified Estimates of Injuries.
<p>Capture-Recapture Stratified Estimates of Injuries.</p
Capture-Recapture Stratified Estimates of Deaths.
<p>Capture-Recapture Stratified Estimates of Deaths.</p
Sensitivity analyses of responsibility risk factors in road accidents.
<p>Sensitivity analyses of responsibility risk factors in road accidents.</p
Level 2 and level 3 pharmacotherapeutic classes used on the crash day.
<p>Some drivers may have been exposed to several substances from the same pharmacological subgroup, explaining the difference with the number of exposed drivers presented in <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000366#pmed-1000366-t002" target="_blank">Table 2</a>.</p
ORs for responsible road traffic crashes by number of level 2 and/or level 3 medicines used.
a<p>ORs adjusted for age, gender, socioeconomic category, year, month, day of week, time of day, location, vehicle type, alcohol level, and injury severity.</p><p>*<i>p<</i>0.001 (still significant after Bonferroni correction).</p><p>**<i>p<</i>0.0001.</p