The acute effects of low dose of alcohol on simulated driving performance on young male and female drivers with high versus low testosterone levels
Notice bibliographique
Résumé
Background: According to the World Health Organization, road traffic crashes represent the single leading cause of death for young people. Road traffic crashes are largely preventable, yet the precise mechanisms underlying individual driving risk remain relatively unidentified. Some risky drivers are over-represented among those involved in serious and fatal road traffic crashes, including those who misuse alcohol. Understanding what drives their risk taking is a key to developing evidence-based and effective prevention programs. Research focusing on the causes of risky driving has examined neurobiological markers of risk taking, such as cortisol, serotonin, and adrenaline. The steroid hormone testosterone has received substantial attention in relation to risk taking, but not specifically related to driving behaviour. Testosterone has been associated with sensation seeking and impulsivity, two consistent correlates of risky driving. Furthermore, interactions between testosterone and alcohol in relation to sensation seeking and impulsivity have been observed, potentially making testosterone a specific factor in driving while impaired with alcohol. In this experiment, four hypotheses were tested: H1) Young drivers with higher testosterone level show higher mean speed in simulation than young drivers with lower testosterone level; H2) Alcohol moderates the relationship between testosterone level and mean speed; H3) Sex moderates the relationship between testosterone level and mean speed; H4) Sensation seeking and impulsivity mediate the relationship between testosterone level and mean speed under alcohol. Methods: This study is part of a larger between-subject, randomized, placebo-controlled experiment. Eleven male and eleven female drivers aged 18-34 years were recruited and their saliva assayed for endogenous testosterone level using radioimmunoassay. Participants also responded to questionnaires assessing sensation seeking and impulsive personality characteristics, and performed two driving simulation tasks, one at BAC (blood alcohol content) of 0% (no-alcohol condition) and another at a positive BAC of 0.02% - 0.05% (i.e., alcohol condition). Results: H1 was not supported by the findings; young drivers with higher testosterone level did not report higher simulated speed than young drivers with lower testosterone level, p > .05. H2 was supported. A significant alcohol X testosterone interaction was detected (p = .04; partial Eta-squared = .20). Specifically, young drivers with higher testosterone level reported higher mean speed than drivers with lower testosterone level, but only after alcohol consumption. Sex was not a significant moderator of the relationship between testosterone level and simulated speed (p > .05). Neither sensation seeking nor impulsivity mediated the relationship between testosterone level and simulated speed under alcohol (p > .05).Conclusion: Interaction between testosterone hormone and alcohol may be one mechanism contributing to risky driving under legal BAC (in Canada < 0.08%). Practically, findings from this study can help future development of educational programs, based on age and sex, to better inform young drivers about neurobiological factors that can affect their ability to drive.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».