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减少注意缺陷多动障碍(ADHD)青少年的驾驶风险因素:来自 EEG 和眼动追踪分析的见解。

Reducing Driving Risk Factors in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD): Insights from EEG and Eye-Tracking Analysis.

机构信息

Department of Occupational Therapy, Tel Aviv University, Tel Aviv 6997801, Israel.

The Child and Adolescent Psychiatry Division, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262000, Israel.

出版信息

Sensors (Basel). 2024 May 23;24(11):3319. doi: 10.3390/s24113319.

DOI:10.3390/s24113319
PMID:38894111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11174634/
Abstract

Adolescents with attention deficit hyperactivity disorder (ADHD) face significant driving challenges due to deficits in attention and executive functioning, elevating their road risks. Previous interventions targeting driving safety among this cohort have typically addressed isolated aspects (e.g., cognitive or behavioral factors) or relied on uniform solutions. However, these approaches often overlook this population's diverse needs. This study introduces the "Drive-Fun" innovative intervention (DFI), aimed at enhancing driving skills among this vulnerable population. The intervention was tested in a pilot study including 30 adolescents aged 15-18, comparing three groups: DFI, an educational intervention, and a control group with no treatment. Assessments included a driving simulator, EEG, and Tobii Pro Glasses 2. Evaluation was conducted pre- and post-intervention and at a 3-month follow-up. Results indicated that the DFI group significantly improved in the simulated driving performance, attentional effort, and focused gaze time. The findings underscore that holistic strategies with personalized, comprehensive approaches for adolescents with ADHD are particularly effective in improving driving performance. These outcomes not only affirm the feasibility of the DFI but also highlight the critical role of sensor technologies in accurately measuring and enhancing simulator driving performance in adolescents with ADHD. Outcomes suggest a promising direction for future research and application.

摘要

患有注意缺陷多动障碍(ADHD)的青少年由于注意力和执行功能缺陷,面临着重大的驾驶挑战,增加了他们的道路风险。之前针对这一人群的驾驶安全干预措施通常针对孤立的方面(例如认知或行为因素),或者依赖于统一的解决方案。然而,这些方法往往忽略了这一人群的多样化需求。本研究介绍了一种名为“Drive-Fun”的创新干预措施(DFI),旨在提高这一弱势群体的驾驶技能。该干预措施在一项包括 30 名 15-18 岁青少年的试点研究中进行了测试,比较了三组:DFI、教育干预组和无治疗的对照组。评估包括驾驶模拟器、EEG 和 Tobii Pro Glasses 2。评估在干预前、干预后和 3 个月随访时进行。结果表明,DFI 组在模拟驾驶性能、注意力努力和专注凝视时间方面有显著改善。研究结果表明,对于患有 ADHD 的青少年,采用整体策略和个性化、全面的方法特别有效,可以提高驾驶性能。这些结果不仅证实了 DFI 的可行性,还强调了传感器技术在准确测量和提高 ADHD 青少年模拟器驾驶性能方面的关键作用。研究结果为未来的研究和应用提供了一个有希望的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/8a9d99a37f9b/sensors-24-03319-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/ae4bbc14c26a/sensors-24-03319-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/fb33afe86780/sensors-24-03319-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/f45858a0d6fd/sensors-24-03319-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/007f3c6b60d0/sensors-24-03319-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/a87b5f1cfb03/sensors-24-03319-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/af5fbd8b0fa7/sensors-24-03319-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/72e5714709a8/sensors-24-03319-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/8a9d99a37f9b/sensors-24-03319-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/ae4bbc14c26a/sensors-24-03319-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/fb33afe86780/sensors-24-03319-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/f45858a0d6fd/sensors-24-03319-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/007f3c6b60d0/sensors-24-03319-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/a87b5f1cfb03/sensors-24-03319-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/af5fbd8b0fa7/sensors-24-03319-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/72e5714709a8/sensors-24-03319-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c497/11174634/8a9d99a37f9b/sensors-24-03319-g008.jpg

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