Psychometric analysis of simulated psychopathology during sick leave

Authors

  • Ignacio Jauregui Lobera Instituto de Ciencias de la Conducta y Universidad Pablo de Olavide de Sevilla.

DOI:

https://doi.org/10.19230/jonnpr.1965

Keywords:

Simulation, sick leave of work, psychopathology, psychometry, predictors

Abstract

Simulation from a categorical or diagnostic perspective, has turned into a more dimensional point of  view, so it is possible to establish different “levels” of simulation. In order to analyse, from a  psychometric perspective, the possible prediction of simulated behaviour based on common measures of  general psychopathology, the objective of the current study was to analyse possible predictors of the Structured Symptomatic Simulation Inventory (SIMS) scores considering as dependent variables the  total SIMS score, the SIMS subscales scores, and the cut-off points usually suggested to  discriminate between “no suspected simulation”/“suspected simulation”, which usually are 14 and 16. In  terms of possible predictors, a set of variables were established: a) categorical (sex, type of  treatment - psychopharmacological, psychotherapeutic, combined-, type of work activity, being self- employed or not, presence-absence of a history of psychopathology (both familial and personal),  presence or not of associated physical pathology, diagnosis -according to ICDJONNPR. 10- and the final proposal -return to work, sick leave  extended, proposal of permanent work incapacity-); and b) continuous (perceived stress -general and  current), self-esteem, results of a screening questionnaire for personality disorders and scores on a  symptoms questionnaire. In addition, a descriptive study of all variables was carried out and possible  differences of genre were analysed.

 

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Published

2017-10-31