Adan F Ton Loy, Jeong-Eun Lee, George Asimakopoulos, McKenna S Sakamoto, Victoria C Merritt
{"title":"对于有远期创伤性脑损伤病史的寻求治疗的退伍军人来说,症状归因比症状认可更能预测PVT失败:试点研究。","authors":"Adan F Ton Loy, Jeong-Eun Lee, George Asimakopoulos, McKenna S Sakamoto, Victoria C Merritt","doi":"10.1080/23279095.2023.2293979","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To examine relationships between performance validity testing (PVT), neurobehavioral symptom endorsement, and symptom attribution in Veterans with a history of mild traumatic brain injury (mTBI).</p><p><strong>Method: </strong>Participants included treatment-seeking Veterans (n = 37) with remote mTBI histories who underwent a neuropsychological assessment and completed a modified version of the Neurobehavioral Symptom Inventory (NSI) to assess symptom endorsement and symptom attribution (the latter evaluated by having Veterans indicate whether they believed each NSI symptom was caused by their mTBI). Veterans were divided into two subgroups, PVT-Valid (n = 25) and PVT-Invalid (n = 12).</p><p><strong>Results: </strong>Independent samples t-tests showed that two of five symptom endorsement variables and all five symptom attribution variables were significantly different between PVT groups (PVT-Invalid > PVT-Valid; Cohen's <i>d</i> = 0.67-1.02). Logistic regression analyses adjusting for PTSD symptoms showed that symptom endorsement (Nagelkerke's <i>R<sup>2</sup></i> = .233) and symptom attribution (Nagelkerke's <i>R<sup>2</sup></i> = .279) significantly distinguished between PVT groups. According to the Wald criterion, greater symptom endorsement (OR = 1.09) and higher attribution of symptoms to mTBI (OR = 1.21) each reliably predicted PVT-failure.</p><p><strong>Conclusions: </strong>While both symptom endorsement and symptom attribution were significantly associated with PVT-failure, our preliminary results suggest that symptom attribution is a stronger predictor of PVT-failure. Results highlight the importance of assessing symptom attribution to mTBI in this population.</p>","PeriodicalId":51308,"journal":{"name":"Applied Neuropsychology-Adult","volume":" ","pages":"1606-1611"},"PeriodicalIF":1.5000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Symptom attribution is a stronger predictor of PVT-failure than symptom endorsement in treatment-seeking Veterans with remote mTBI history: A pilot study.\",\"authors\":\"Adan F Ton Loy, Jeong-Eun Lee, George Asimakopoulos, McKenna S Sakamoto, Victoria C Merritt\",\"doi\":\"10.1080/23279095.2023.2293979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To examine relationships between performance validity testing (PVT), neurobehavioral symptom endorsement, and symptom attribution in Veterans with a history of mild traumatic brain injury (mTBI).</p><p><strong>Method: </strong>Participants included treatment-seeking Veterans (n = 37) with remote mTBI histories who underwent a neuropsychological assessment and completed a modified version of the Neurobehavioral Symptom Inventory (NSI) to assess symptom endorsement and symptom attribution (the latter evaluated by having Veterans indicate whether they believed each NSI symptom was caused by their mTBI). Veterans were divided into two subgroups, PVT-Valid (n = 25) and PVT-Invalid (n = 12).</p><p><strong>Results: </strong>Independent samples t-tests showed that two of five symptom endorsement variables and all five symptom attribution variables were significantly different between PVT groups (PVT-Invalid > PVT-Valid; Cohen's <i>d</i> = 0.67-1.02). Logistic regression analyses adjusting for PTSD symptoms showed that symptom endorsement (Nagelkerke's <i>R<sup>2</sup></i> = .233) and symptom attribution (Nagelkerke's <i>R<sup>2</sup></i> = .279) significantly distinguished between PVT groups. According to the Wald criterion, greater symptom endorsement (OR = 1.09) and higher attribution of symptoms to mTBI (OR = 1.21) each reliably predicted PVT-failure.</p><p><strong>Conclusions: </strong>While both symptom endorsement and symptom attribution were significantly associated with PVT-failure, our preliminary results suggest that symptom attribution is a stronger predictor of PVT-failure. 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Symptom attribution is a stronger predictor of PVT-failure than symptom endorsement in treatment-seeking Veterans with remote mTBI history: A pilot study.
Objective: To examine relationships between performance validity testing (PVT), neurobehavioral symptom endorsement, and symptom attribution in Veterans with a history of mild traumatic brain injury (mTBI).
Method: Participants included treatment-seeking Veterans (n = 37) with remote mTBI histories who underwent a neuropsychological assessment and completed a modified version of the Neurobehavioral Symptom Inventory (NSI) to assess symptom endorsement and symptom attribution (the latter evaluated by having Veterans indicate whether they believed each NSI symptom was caused by their mTBI). Veterans were divided into two subgroups, PVT-Valid (n = 25) and PVT-Invalid (n = 12).
Results: Independent samples t-tests showed that two of five symptom endorsement variables and all five symptom attribution variables were significantly different between PVT groups (PVT-Invalid > PVT-Valid; Cohen's d = 0.67-1.02). Logistic regression analyses adjusting for PTSD symptoms showed that symptom endorsement (Nagelkerke's R2 = .233) and symptom attribution (Nagelkerke's R2 = .279) significantly distinguished between PVT groups. According to the Wald criterion, greater symptom endorsement (OR = 1.09) and higher attribution of symptoms to mTBI (OR = 1.21) each reliably predicted PVT-failure.
Conclusions: While both symptom endorsement and symptom attribution were significantly associated with PVT-failure, our preliminary results suggest that symptom attribution is a stronger predictor of PVT-failure. Results highlight the importance of assessing symptom attribution to mTBI in this population.
期刊介绍:
pplied Neuropsychology-Adult publishes clinical neuropsychological articles concerning assessment, brain functioning and neuroimaging, neuropsychological treatment, and rehabilitation in adults. Full-length articles and brief communications are included. Case studies of adult patients carefully assessing the nature, course, or treatment of clinical neuropsychological dysfunctions in the context of scientific literature, are suitable. Review manuscripts addressing critical issues are encouraged. Preference is given to papers of clinical relevance to others in the field. All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further considerations are peer reviewed by independent, anonymous expert referees. All peer review is single-blind and submission is online via ScholarOne Manuscripts.