{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T13:40:04Z","timestamp":1789825204246,"version":"4.0.1"},"reference-count":57,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100024106","name":"Korea Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100024106","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003600","name":"Korean National Police Agency","doi-asserted-by":"publisher","award":["RS-2023-00238253"],"award-info":[{"award-number":["RS-2023-00238253"]}],"id":[{"id":"10.13039\/501100003600","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis &amp; Prevention"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.aap.2025.108252","type":"journal-article","created":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T19:41:01Z","timestamp":1758742861000},"page":"108252","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Insights from psychophysiological workload analysis of human-driven vehicle drivers in interactions with autonomous vehicles"],"prefix":"10.1016","volume":"223","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3910-5876","authenticated-orcid":false,"given":"Hoseon","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1627-4340","authenticated-orcid":false,"given":"Jieun","family":"Ko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1431-9480","authenticated-orcid":false,"given":"Cheol","family":"Oh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6851-4627","authenticated-orcid":false,"given":"Hyeonseok","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2025.108252_b0005","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.trf.2020.01.019","article-title":"Driving mental workload and performance of ageing drivers","volume":"69","author":"Abd Rahman","year":"2020","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0010","doi-asserted-by":"crossref","first-page":"4931","DOI":"10.1038\/s41467-024-48526-4","article-title":"A matched case-control analysis of autonomous vs human-driven vehicle accidents","volume":"15","author":"Abdel-Aty","year":"2024","journal-title":"Nat. Commun."},{"issue":"17","key":"10.1016\/j.aap.2025.108252_b0015","doi-asserted-by":"crossref","first-page":"7346","DOI":"10.3390\/s23177346","article-title":"Drivers\u2019 mental engagement analysis using multi-sensor fusion approaches based on deep convolutional neural networks","volume":"23","author":"Aminosharieh Najafi","year":"2023","journal-title":"Sensors"},{"issue":"2","key":"10.1016\/j.aap.2025.108252_b0025","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1080\/15472450.2020.1834392","article-title":"Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections","volume":"25","author":"Arvin","year":"2020","journal-title":"J. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2025.108252_b0030","doi-asserted-by":"crossref","unstructured":"Baltodano, S., Garcia-Mancilla, J., & Ju, W. (2018). Eliciting Driver Stress Using Naturalistic Diving Scenarios on Real Roads. In: Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 298-309). doi:10.1145\/3239060.3239090.","DOI":"10.1145\/3239060.3239090"},{"issue":"9","key":"10.1016\/j.aap.2025.108252_b0035","doi-asserted-by":"crossref","first-page":"2152","DOI":"10.3390\/s19092152","article-title":"Identifying traffic context using driving stress: a longitudinal preliminary case study","volume":"19","author":"Bitkina","year":"2019","journal-title":"Sensors"},{"issue":"2","key":"10.1016\/j.aap.2025.108252_b0040","first-page":"101","article-title":"Advances in EEG-based cognitive workload classification: a systematic review","volume":"12","author":"Chevalier","year":"2024","journal-title":"J. Neurotechnol."},{"key":"10.1016\/j.aap.2025.108252_b0045","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1007\/s13534-024-00405-z","article-title":"Spiking neural networks for biomedical signal analysis","volume":"14","author":"Choi","year":"2024","journal-title":"Biomed. Eng. Lett."},{"issue":"8","key":"10.1016\/j.aap.2025.108252_b0050","doi-asserted-by":"crossref","first-page":"3055","DOI":"10.1109\/JSEN.2018.2807245","article-title":"Sensor applications and physiological features in drivers\u2019 drowsiness detection: a review","volume":"18","author":"Chowdhury","year":"2018","journal-title":"IEEE Sens. J."},{"key":"10.1016\/j.aap.2025.108252_b0055","doi-asserted-by":"crossref","first-page":"32682","DOI":"10.1109\/ACCESS.2023.3248628","article-title":"Surrogate safety measures: review and assessment in real-world mixed traditional and autonomous vehicle platoons","volume":"11","author":"Das","year":"2023","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0060","first-page":"67","article-title":"Electroencephalogram analysis on alpha\/beta and theta\/beta ratio: potential markers of stress","volume":"36","author":"Dasari","year":"2025","journal-title":"J. Basic Clin. Physiol. Pharmacol."},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0065","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.aap.2025.108252_b0070","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.tra.2015.04.003","article-title":"Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations","volume":"77","author":"Fagnant","year":"2015","journal-title":"Transp. Res. A Policy Pract."},{"key":"10.1016\/j.aap.2025.108252_b0075","unstructured":"FHWA. (2023). Intersection Conflict Analysis Guide (Report No. FHWA-SA-23-045)."},{"issue":"4","key":"10.1016\/j.aap.2025.108252_b0080","doi-asserted-by":"crossref","first-page":"532","DOI":"10.2105\/AJPH.2016.303628","article-title":"Public health, ethics, and autonomous vehicles","volume":"107","author":"Fleetwood","year":"2017","journal-title":"Am. J. Public Health"},{"key":"10.1016\/j.aap.2025.108252_b0085","unstructured":"Gettman, D., Pu, L., Sayed, T., Shelby, S. G., & Energy, S. (2008). Surrogate Safety Assessment Model and Validation (No. FHWA-HRT-08-051). Turner-Fairbank Highway Research Center."},{"key":"10.1016\/j.aap.2025.108252_b0090","doi-asserted-by":"crossref","DOI":"10.3389\/fnbot.2023.1240933","article-title":"Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving","volume":"17","author":"Giorgi","year":"2023","journal-title":"Front. Neurorob."},{"issue":"5","key":"10.1016\/j.aap.2025.108252_b0095","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/11\/5\/056011","article-title":"Electrophysiology-based detection of emergency braking intention in real-world driving","volume":"11","author":"Haufe","year":"2014","journal-title":"J. Neural Eng."},{"issue":"4","key":"10.1016\/j.aap.2025.108252_b0100","article-title":"Estimating workload using EEG spectral power and ERPs in the n-back task","volume":"11","author":"Hogervorst","year":"2014","journal-title":"J. Neural Eng."},{"issue":"4","key":"10.1016\/j.aap.2025.108252_b0105","doi-asserted-by":"crossref","first-page":"3138","DOI":"10.3390\/su15043138","article-title":"Evaluating efficiency and safety of mixed traffic with connected and autonomous vehicles in adverse weather","volume":"15","author":"Hou","year":"2023","journal-title":"Sustainability"},{"key":"10.1016\/j.aap.2025.108252_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2024.107766","article-title":"Enhancing mixed traffic safety assessment: a novel safety metric combined with a comprehensive behavioral modeling framework","volume":"208","author":"Hou","year":"2024","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0115","doi-asserted-by":"crossref","DOI":"10.1155\/2024\/6126204","article-title":"A lane change strategy to enhance traffic safety in the coexistence of autonomous vehicles and manual vehicles","volume":"2024","author":"Jo","year":"2024","journal-title":"J. Adv. Transp."},{"key":"10.1016\/j.aap.2025.108252_b0120","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.trf.2024.08.028","article-title":"Characterizing the driving behavior of manual vehicles following autonomous vehicles and its impact on mixed traffic performance","volume":"107","author":"Jo","year":"2024","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2025.108252_b0125","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1007\/s12205-018-1803-y","article-title":"Analysis of vehicle maneuverability and driving characteristics on a curved road condition","volume":"23","author":"Kang","year":"2019","journal-title":"KSCE J. Civ. Eng."},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0130","first-page":"57","article-title":"Central EEG beta\/alpha ratio predicts the population-wide efficiency of advertisements","volume":"13","author":"Kang","year":"2024","journal-title":"Brain Sci."},{"issue":"22","key":"10.1016\/j.aap.2025.108252_b0135","doi-asserted-by":"crossref","first-page":"9672","DOI":"10.3390\/su16229672","article-title":"Evaluation of autonomous driving safety by operational design domains (ODD) in mixed traffic","volume":"16","author":"Kim","year":"2024","journal-title":"Sustainability"},{"issue":"6","key":"10.1016\/j.aap.2025.108252_b0140","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1007\/s12239-013-0106-z","article-title":"Highly reliable driving workload analysis using driver electroencephalogram (EEG) activities during driving","volume":"14","author":"Kim","year":"2013","journal-title":"Int. J. Automot. Technol."},{"issue":"2","key":"10.1016\/j.aap.2025.108252_b0145","doi-asserted-by":"crossref","first-page":"152","DOI":"10.7470\/jkst.2024.42.2.152","article-title":"Derivation of promising driving safety evaluation indicators for mixed traffic situations in traffic simulation environments","volume":"42","author":"Kim","year":"2024","journal-title":"J. Korean Soc. Transp."},{"issue":"8","key":"10.1016\/j.aap.2025.108252_b0150","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1177\/03611981231222237","article-title":"Driving safety evaluation of mixed car-following situations by autonomous and manual vehicles at urban interrupted road facilities","volume":"2678","author":"Lee","year":"2024","journal-title":"Transp. Res. Rec."},{"issue":"2","key":"10.1016\/j.aap.2025.108252_b0155","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1109\/TBCAS.2014.2316224","article-title":"Wireless and wearable EEG system for evaluating driver vigilance","volume":"8","author":"Lin","year":"2014","journal-title":"IEEE Trans. Biomed. Circuits Syst."},{"key":"10.1016\/j.aap.2025.108252_b0160","article-title":"Optimizing mixed traffic flow: longitudinal control of connected and automated vehicles to mitigate traffic oscillations","author":"Liu","year":"2025","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2025.108252_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106281","article-title":"Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology","volume":"159","author":"Liu","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2025.108252_b0170","series-title":"An Introduction to the Event-Related Potential Technique","author":"Luck","year":"2014"},{"issue":"3","key":"10.1016\/j.aap.2025.108252_b0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijchp.2023.100371","article-title":"Anticipated fear and anxiety of automated driving systems: estimating the prevalence in a national representative survey","volume":"23","author":"Meinlschmidt","year":"2023","journal-title":"Int. J. Clin. Health Psychol."},{"key":"10.1016\/j.aap.2025.108252_b0180","first-page":"28960","article-title":"Passenger physiology in self-driving vehicles during unexpected events","volume":"14","author":"Palatinus","year":"2024","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.aap.2025.108252_b0185","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1080\/17457300.2019.1669666","article-title":"Post encroachment time threshold identification for right-turn related crashes at unsignalized intersections on intercity highways under mixed traffic","volume":"27","author":"Paul","year":"2020","journal-title":"Int. J. Inj. Contr. Saf. Promot."},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0190","doi-asserted-by":"crossref","first-page":"42","DOI":"10.3141\/2386-06","article-title":"Evaluation of post encroachment time as surrogate for opposing left-turn crashes","volume":"2386","author":"Peesapati","year":"2013","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2025.108252_b0195","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.jsr.2018.05.002","article-title":"Can post encroachment time substitute intersection characteristics in crash prediction models?","volume":"66","author":"Peesapati","year":"2018","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2025.108252_b0200","doi-asserted-by":"crossref","unstructured":"Postigo, I. (2025). Microscopic Traffic Simulation of Automated Driving: Modeling and Evaluation of Traffic Performance (Doctoral dissertation, Link\u00f6ping University Electronic Press). doi: 10.3384\/9789181180046.","DOI":"10.3384\/9789181180046"},{"key":"10.1016\/j.aap.2025.108252_b0205","doi-asserted-by":"crossref","first-page":"72835","DOI":"10.1109\/ACCESS.2020.2987959","article-title":"A modified post encroachment time model of urban road merging area based on lane-change characteristics","volume":"8","author":"Qi","year":"2020","journal-title":"IEEE Access"},{"issue":"8","key":"10.1016\/j.aap.2025.108252_b0210","doi-asserted-by":"crossref","first-page":"390","DOI":"10.3390\/info11080390","article-title":"Measuring drivers' physiological response to different vehicle controllers in highly automated driving (HAD): opportunities for establishing real-time values of driver discomfort","volume":"11","author":"Radhakrishnan","year":"2020","journal-title":"Information"},{"key":"10.1016\/j.aap.2025.108252_b0215","unstructured":"SAE International (2021). Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (SAE J3016)."},{"issue":"28","key":"10.1016\/j.aap.2025.108252_b0220","first-page":"177","article-title":"Safety evaluation at three-leg, unsignalized intersections by traffic conflict technique","volume":"1485","author":"Salman","year":"1995","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2025.108252_b0225","unstructured":"Suntay, B., Gerdus, E., Albrecht, H., & Stammen, J. (2024). Vehicle Assessment Using Integrated Crash Avoidance and Crashworthiness Pedestrian Safety Test Procedures (No. DOT HS 813 521). United States. Department of Transportation. National Highway Traffic Safety Administration."},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0230","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1146\/annurev.publhealth.27.021405.102117","article-title":"Stress, fatigue, health, and risk of road traffic accidents among professional drivers: the contribution of physical inactivity","volume":"27","author":"Taylor","year":"2006","journal-title":"Annu. Rev. Public Health"},{"key":"10.1016\/j.aap.2025.108252_b0235","unstructured":"Thorn, E., Kimmel, S. C., & Chaka, M. (2018). A Framework for Automated Driving System Testable Cases and Scenarios (No. DOT HS 812 623). United States. Department of Transportation. National Highway Traffic Safety Administration."},{"key":"10.1016\/j.aap.2025.108252_b0240","article-title":"Editorial: brain-inspired autonomous driving","volume":"19","author":"Tsur","year":"2025","journal-title":"Front. Neurorob."},{"key":"10.1016\/j.aap.2025.108252_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.ynstr.2022.100452","article-title":"The neural correlates of psychosocial stress: a systematic review and meta-analysis of spectral analysis EEG studies","volume":"18","author":"Vanhollebeke","year":"2022","journal-title":"Neurobiol. Stress"},{"key":"10.1016\/j.aap.2025.108252_b0250","series-title":"2017 IEEE Intelligent Vehicles Symposium (IV)","first-page":"218","article-title":"Analysis of Unprotected Intersection Left-Turn Conflicts based on Naturalistic Driving Data","author":"Wang","year":"2017"},{"issue":"3","key":"10.1016\/j.aap.2025.108252_b0255","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1080\/15389588.2023.2291337","article-title":"Existence of connected and autonomous vehicles in mixed traffic: impacts on safety and environment","volume":"25","author":"Wei","year":"2024","journal-title":"Traffic Inj. Prev."},{"issue":"4","key":"10.1016\/j.aap.2025.108252_b0260","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.trf.2007.01.001","article-title":"Effect of restricted sight distances on driver behaviors during unprotected left-turn phase at signalized intersections","volume":"10","author":"Yan","year":"2007","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2025.108252_b0265","article-title":"Neuromorphic context-dependent learning framework with fault-tolerant spike routing","author":"Yang","year":"2023","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"key":"10.1016\/j.aap.2025.108252_b0270","doi-asserted-by":"crossref","first-page":"58443","DOI":"10.1109\/ACCESS.2020.2983149","article-title":"A Survey of autonomous driving: common practices and emerging technologies","volume":"8","author":"Yurtsever","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.aap.2025.108252_b0275","series-title":"2019 4th International Conference on Electrical Information and Communication Technology (EICT)","first-page":"1","article-title":"Stress Identification during Sustained Mental Task and Brain Relaxation Modeling with \u03b2\/\u03b1 Band Power Ratio","author":"Yusuf","year":"2019"},{"issue":"1","key":"10.1016\/j.aap.2025.108252_b0280","article-title":"Exploring factors impacting paths of left\u2010turning vehicles from minor road approach at unsignalized intersections","volume":"2016","author":"Zhang","year":"2016","journal-title":"Math. Probl. Eng."},{"key":"10.1016\/j.aap.2025.108252_b0285","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.aap.2011.11.019","article-title":"Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator","volume":"45","author":"Zhao","year":"2012","journal-title":"Accid. Anal. Prev."},{"issue":"9","key":"10.1016\/j.aap.2025.108252_b0290","doi-asserted-by":"crossref","first-page":"2494","DOI":"10.3390\/s20092494","article-title":"Stress evaluation in simulated autonomous and manual driving through the analysis of skin potential response and electrocardiogram signals","volume":"20","author":"Zontone","year":"2020","journal-title":"Sensors"}],"container-title":["Accident Analysis &amp; Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457525003409?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457525003409?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T05:11:28Z","timestamp":1774329088000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457525003409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":57,"alternative-id":["S0001457525003409"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2025.108252","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Insights from psychophysiological workload analysis of human-driven vehicle drivers in interactions with autonomous vehicles","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2025.108252","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108252"}}