Driving Performance on the Descending Limb of Blood Alcohol Concentration (BAC) in Undergraduate Students: A Pilot Study
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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1927313"], "description"=>"<p>(A) Selective attention scores (in milliseconds) for subtask 3 of useful field of view test; (B); Driving performance variables at the four assessed time points; (C) & (D) 7 driving simulator report variables divided into two graphs at four assessment time points.</p>", "links"=>[], "tags"=>["crash risk", "Pilot Study Young drivers", "time points", "control group", "blood alcohol concentration", "ufov", "sd", "bac", "crash risk categories", "variable", "crash risk assessment"], "article_id"=>1320213, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mathieu Tremblay", "François Gallant", "Martin Lavallière", "Martine Chiasson", "Dustin Silvey", "David Behm", "Wayne J. Albert", "Michel J. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118348.g001", "stats"=>{"downloads"=>2, "page_views"=>72, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Timeline_of_driving_variables_and_selective_attention_useful_field_of_view_test_for_the_control_group_/1320213", "title"=>"Timeline of driving variables and selective attention (useful field of view test) for the control group.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-27 03:49:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1927314"], "description"=>"<p>(A) Selective attention scores (in milliseconds) for subtask 3 of useful field of view test; (B); Driving performance variables sensitive to moderate blood alcohol concentration (0.05–0.07 g/dL); (C) Driving simulator report variables sensitive to moderate blood alcohol concentration (0.05–0.07 g/dL); (D) Variables sensitive to driving simulator learning effect.</p>", "links"=>[], "tags"=>["crash risk", "Pilot Study Young drivers", "time points", "control group", "blood alcohol concentration", "ufov", "sd", "bac", "crash risk categories", "variable", "crash risk assessment"], "article_id"=>1320214, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mathieu Tremblay", "François Gallant", "Martin Lavallière", "Martine Chiasson", "Dustin Silvey", "David Behm", "Wayne J. Albert", "Michel J. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118348.g002", "stats"=>{"downloads"=>2, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Timeline_of_driving_variables_and_selective_attention_for_the_experimental_group_/1320214", "title"=>"Timeline of driving variables and selective attention for the experimental group.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-27 03:49:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1929936"], "description"=>"<p>Results present <i>r</i> value;</p><p>*<i>p</i><0.05 from Pearson correlation. The association between crash risk category and drinving performances varaibles was measured by Spearman correlation; General driving performance score (VSI Score); (NS) non-significant</p><p>Correlations between driving performances, selective attention and crash risk categories for the experimental group.</p>", "links"=>[], "tags"=>["crash risk", "Pilot Study Young drivers", "time points", "control group", "blood alcohol concentration", "ufov", "sd", "bac", "crash risk categories", "variable", "crash risk assessment"], "article_id"=>1322281, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mathieu Tremblay", "François Gallant", "Martin Lavallière", "Martine Chiasson", "Dustin Silvey", "David Behm", "Wayne J. Albert", "Michel J. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118348.t003", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlations_between_driving_performances_selective_attention_and_crash_risk_categories_for_the_experimental_group_/1322281", "title"=>"Correlations between driving performances, selective attention and crash risk categories for the experimental group.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-27 16:08:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/1929937"], "description"=>"<div><p>Young drivers are overrepresented in collisions resulting in fatalities. It is not uncommon for young drivers to socially binge drink and decide to drive a vehicle a few hours after consumption. To better understand the risks that may be associated with this behaviour, the present study has examined the effects of a social drinking bout followed by a simulated drive in undergraduate students on the descending limb of their BAC (blood alcohol concentration) curve. Two groups of eight undergraduate students (n = 16) took part in this study. Participants in the alcohol group were assessed before drinking, then at moderate and low BAC as well as 24 hours post-acute consumption. This group consumed an average of 5.3 ± 1.4 (mean ± SD) drinks in an hour in a social context and were then submitted to a driving and a predicted crash risk assessment. The control group was assessed at the same time points without alcohol intake or social context.; at 8 a.m., noon, 3 p.m. and 8 a.m. the next morning. These multiple time points were used to measure any potential learning effects from the assessment tools (i.e. driving simulator and useful field of view test (UFOV)). Diminished driving performance at moderate BAC was observed with no increases in predicted crash risk. Moderate correlations between driving variables were observed. No association exists between driving variables and UFOV variables. The control group improved measures of selective attention after the third asessement. No learning effect was observed from multiple sessions with the driving simulator. Our results show that a moderate BAC, although legal, increases the risky behaviour. Effects of alcohol expectancy could have been displayed by the experimental group. UFOV measures and predicted crash risk categories were not sentitive enough to predict crash risk for young drivers, even when intoxicated.</p></div>", "links"=>[], "tags"=>["crash risk", "Pilot Study Young drivers", "time points", "control group", "blood alcohol concentration", "ufov", "sd", "bac", "crash risk categories", "variable", "crash risk assessment"], "article_id"=>1322282, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mathieu Tremblay", "François Gallant", "Martin Lavallière", "Martine Chiasson", "Dustin Silvey", "David Behm", "Wayne J. Albert", "Michel J. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118348", "stats"=>{"downloads"=>1, "page_views"=>26, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Driving_Performance_on_the_Descending_Limb_of_Blood_Alcohol_Concentration_BAC_in_Undergraduate_Students_A_Pilot_Study_/1322282", "title"=>"Driving Performance on the Descending Limb of Blood Alcohol Concentration (BAC) in Undergraduate Students: A Pilot Study", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-27 16:08:31"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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