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本文引用的文献

1
Sleep Structure in Untreated Adults With ADHD: A Retrospective Study.未经治疗的成人注意力缺陷多动障碍患者的睡眠结构:一项回顾性研究。
J Atten Disord. 2023 Mar;27(5):488-498. doi: 10.1177/10870547231154898. Epub 2023 Feb 21.
2
Prevalence of Attention Deficit Hyperactivity Disorder (ADHD) among Substance Use Disorder (SUD) Populations: Meta-Analysis.物质使用障碍(SUD)人群中注意缺陷多动障碍(ADHD)的患病率:荟萃分析。
Int J Environ Res Public Health. 2023 Jan 10;20(2):1275. doi: 10.3390/ijerph20021275.
3
Driving license regranting: Hair EtG, serum CDT, and the role of sociodemographic and medicolegal variables.驾驶执照重新发放:头发 EtG、血清 CDT 以及社会人口学和法医学变量的作用。
Drug Test Anal. 2023 Sep;15(9):953-961. doi: 10.1002/dta.3426. Epub 2022 Dec 25.
4
Impact of Action Video Gaming Behavior on Attention, Anxiety, and Sleep Among University Students.动作视频游戏行为对大学生注意力、焦虑及睡眠的影响
Psychol Res Behav Manag. 2022 Jan 14;15:151-160. doi: 10.2147/PRBM.S347694. eCollection 2022.
5
Cigarette Smoking as a Predictor of Male DUI Recidivism.吸烟与男性酒驾再犯的关系。
Int J Environ Res Public Health. 2021 Oct 14;18(20):10761. doi: 10.3390/ijerph182010761.
6
Driving license regranting in DUI subjects: Road accident variables and predictive factors of substance use disorder.酒驾者驾驶执照重新发放:道路交通事故变量和物质使用障碍的预测因素。
Sci Prog. 2021 Jul-Sep;104(3):368504211033702. doi: 10.1177/00368504211033702.
7
Driving Behavior That Limits Concentration: A Nationwide Survey in Greece.限制注意力的驾驶行为:希腊全国性调查
Int J Environ Res Public Health. 2021 Apr 13;18(8):4104. doi: 10.3390/ijerph18084104.
8
The association between the score of adult attention-deficit/hyperactivity traits and risky driving behaviors with alcohol intake and narcotics consumption among Iranian motorcyclists.伊朗摩托车手的成人注意缺陷/多动特质评分与饮酒和吸食麻醉品风险驾驶行为之间的关联。
Traffic Inj Prev. 2021;22(3):189-194. doi: 10.1080/15389588.2021.1877278. Epub 2021 Mar 4.
9
The role of top-down attentional control and attention-deficit/hyperactivity disorder symptoms in predicting future motor vehicle crash risk.自上而下的注意力控制和注意缺陷/多动障碍症状在预测未来机动车碰撞风险中的作用。
Neuropsychology. 2020 Nov;34(8):894-905. doi: 10.1037/neu0000707.
10
A Machine-Based Prediction Model of ADHD Using CPT Data.一种基于连续性能测试(CPT)数据的注意力缺陷多动障碍(ADHD)机器预测模型。
Front Hum Neurosci. 2020 Sep 17;14:560021. doi: 10.3389/fnhum.2020.560021. eCollection 2020.

精神活性物质与注意力缺陷障碍导致的驾驶能力受损:一项初步研究。

Driving impairment due to psychoactive substances and attention deficit disorder: A pilot study.

作者信息

Terranova Ap Claudio, Pozzebon Francesco, Cinquetti Alessandro, Perilli Matteo, Palumbi Stefano, Favretto Ap Donata, Viel Ap Guido, Aprile Ap Anna

机构信息

Legal Medicine and Toxicology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via G. Falloppio n.50, Padova, 35121, Italy.

出版信息

Heliyon. 2024 Jan 7;10(2):e24083. doi: 10.1016/j.heliyon.2024.e24083. eCollection 2024 Jan 30.

DOI:10.1016/j.heliyon.2024.e24083
PMID:38293447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10825441/
Abstract

OBJECTIVE

Attention disorder and substance use disorder are linked to driving impairment and increased road crash involvement. This study explores attention deficits in a population of drivers found driving under the influence (DUI) of psychoactive substances.

METHODS

A case-control study was conducted comparing subjects with a previous DUI episode (cases) to subjects who were negative for DUI offenses (controls). Personal, socio-demographic, and DUI data were collected for both groups. All subjects were administered the Continuous Performance Test-third edition (CPT-3), which measures dimensions of attention, including inattentiveness, impulsivity, sustained attention, and vigilance. Possible associations with a previous DUI episode, the use of illicit substances or excessive alcohol use, and road crash involvement were analyzed statistically.

RESULTS

Overall, the study included 147 subjects (100 cases, 47 controls). The parameter distributions of detectability, probability of ADHD, and inattentiveness indicated statistical differences between the two groups. No attention deficits predicted substance use disorder or excessive alcohol consumption. Inattentiveness was an independent risk factor for previous road collision involvement.

CONCLUSIONS

The results suggest that alterations exist in some attention dimensions in a population of DUI subjects who were users of alcohol or other psychoactive substances and involved in road traffic crashes. The CPT-3 had successfully distinguished between the two study groups, and after validation, it could be useful in the process of reinstating a driver's license. Future research should expand the study sample to better understand the relevance of the proposed methodological approach in terms of prevention, rehabilitation, and the monitoring of subjects evaluated for driving eligibility requirements.

摘要

目的

注意力障碍与物质使用障碍与驾驶能力受损及道路交通事故参与度增加有关。本研究探讨在精神活性物质影响下驾车被发现的驾驶员群体中的注意力缺陷。

方法

进行了一项病例对照研究,将有过酒后驾车事件的受试者(病例组)与酒后驾车犯罪检测呈阴性的受试者(对照组)进行比较。收集了两组的个人、社会人口统计学和酒后驾车数据。所有受试者均接受了连续操作测验第三版(CPT-3),该测验测量注意力的多个维度,包括注意力不集中、冲动性、持续注意力和警觉性。对与既往酒后驾车事件、非法物质使用或过度饮酒以及道路交通事故参与度之间的可能关联进行了统计分析。

结果

总体而言,该研究纳入了147名受试者(100例病例,47例对照)。检测性、注意缺陷多动障碍概率和注意力不集中的参数分布表明两组之间存在统计学差异。没有注意力缺陷可预测物质使用障碍或过度饮酒。注意力不集中是既往道路碰撞事故参与度的独立危险因素。

结论

结果表明,在使用酒精或其他精神活性物质且卷入道路交通事故的酒后驾车受试者群体中,某些注意力维度存在改变。CPT-3成功区分了两个研究组,经过验证后,它可能在恢复驾驶员执照的过程中有用。未来的研究应扩大研究样本,以更好地理解所提出的方法学方法在预防、康复以及对评估驾驶资格要求的受试者进行监测方面的相关性。