000151293 001__ 151293
000151293 005__ 20250307114715.0
000151293 0247_ $$2doi$$a10.1007/s00414-021-02572-5
000151293 0248_ $$2sideral$$a124229
000151293 037__ $$aART-2021-124229
000151293 041__ $$aeng
000151293 100__ $$aMonaro, M.
000151293 245__ $$aA model to differentiate WAD patients and people with abnormal pain behaviour based on biomechanical and self-reported tests
000151293 260__ $$c2021
000151293 5060_ $$aAccess copy available to the general public$$fUnrestricted
000151293 5203_ $$aThe prevalence of malingering among individuals presenting whiplash-related symptoms is significant and leads to a huge economic loss due to fraudulent injury claims. Various strategies have been proposed to detect malingering and symptoms exaggeration. However, most of them have been not consistently validated and tested to determine their accuracy in detecting feigned whiplash. This study merges two different approaches to detect whiplash malingering (the mechanical approach and the qualitative analysis of the symptomatology) to obtain a malingering detection model based on a wider range of indices, both biomechanical and self-reported. A sample of 46 malingerers and 59 genuine clinical patients was tested using a kinematic test and a self-report questionnaire asking about the presence of rare and impossible symptoms. The collected measures were used to train and validate a linear discriminant analysis (LDA) classification model. Results showed that malingerers were discriminated from genuine clinical patients based on a greater proportion of rare symptoms vs. possible self-reported symptoms and slower but more repeatable neck motions in the biomechanical test. The fivefold cross-validation of the LDA model yielded an area under the curve (AUC) of 0.84, with a sensitivity of 77.8% and a specificity of 84.7%.
000151293 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000151293 590__ $$a2.791$$b2021
000151293 591__ $$aMEDICINE, LEGAL$$b4 / 17 = 0.235$$c2021$$dQ1$$eT1
000151293 592__ $$a0.883$$b2021
000151293 593__ $$aPathology and Forensic Medicine$$c2021$$dQ1
000151293 594__ $$a4.6$$b2021
000151293 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000151293 700__ $$aDe Rosario, H.
000151293 700__ $$aBaydal-Bertomeu, J.M.
000151293 700__ $$0(orcid)0009-0003-4093-8108$$aBernal-Lafuente, M.$$uUniversidad de Zaragoza
000151293 700__ $$aMasiero, S.
000151293 700__ $$aMacía-Calvo, M.
000151293 700__ $$aCantele, F.
000151293 700__ $$aSartori, G.
000151293 7102_ $$11012$$2613$$aUniversidad de Zaragoza$$bDpto. Farmac.Fisiol.y Med.L.F.$$cÁrea Medicina Legal y Forense
000151293 773__ $$g135 (2021), 1637–1646$$pInt. j. leg. med.$$tINTERNATIONAL JOURNAL OF LEGAL MEDICINE$$x0937-9827
000151293 8564_ $$s900883$$uhttps://zaguan.unizar.es/record/151293/files/texto_completo.pdf$$yVersión publicada
000151293 8564_ $$s2503904$$uhttps://zaguan.unizar.es/record/151293/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000151293 909CO $$ooai:zaguan.unizar.es:151293$$particulos$$pdriver
000151293 951__ $$a2025-03-07-09:31:31
000151293 980__ $$aARTICLE