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. 2020 Jun 9:11:1110.
doi: 10.3389/fpsyg.2020.01110. eCollection 2020.

Validation of the Levenson Self-Report Psychopathy Scale in Bulgarian Substance-Dependent Individuals

Elena Psederska  1   2 , Georgi P Yankov  3 , Kiril Bozgunov  1 , Vencislav Popov  4 , Georgi Vasilev  1 , Jasmin Vassileva  5   6
Affiliations

Validation of the Levenson Self-Report Psychopathy Scale in Bulgarian Substance-Dependent Individuals

Elena Psederska et al. Front Psychol. .

Abstract

The co-occurrence of psychopathy and substance use disorders (SUDs) is associated with higher relapse rates and increased risk of violent offending. Studies on the validity of psychopathy measures in community samples and substance-dependent individuals (SDIs) are scarce. The aim of the current study was to examine the psychometric properties of the Levenson Self-Report Psychopathy Scale (LSRP) in a sample of Bulgarian SDIs and non-dependent controls. We tested 615 participants: 106 heroin users, 91 amphetamine users, 123 polysubstance users, and 295 controls. Confirmatory factor analyses replicated the tri-factor structure of the LSRP (egocentric, antisocial, callous). The scale demonstrated acceptable reliability and validity. SDIs scored significantly higher than controls on the total scale and subscales of the LSRP, indicating good discriminant validity. Overall, results indicate that the LSRP is a valid instrument for measuring psychopathy in Bulgarian community samples.

Keywords: Bulgaria; adaptation; assessment; psychopathy; substance use disorders.

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References

    1. Ahn W.-Y., Vasilev G., Lee S.-H., Busemeyer J., Kruschke J. K., Bechara A., et al. (2014). Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users. Front. Psychol. 5:849. 10.3389/fpsyg.2014.00849 - DOI - PMC - PubMed
    1. Ahn W. Y., Vassileva J. (2016). Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence. Drug Alcoh. Depend 161 247–257. 10.1016/j.drugalcdep.2016.02.008 - DOI - PMC - PubMed
    1. Alterman A. I., Rutherford M. J., Cacciola J. S., McKay J. R., Boardman C. R. (1998). Prediction of 7 months methadone maintenance treatment response by four measures of antisociality. Drug Alcoh. Depend 49 217–223. 10.1016/s0376-8716(98)00015-5 - DOI - PubMed
    1. American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th Edn Washington, DC: American Psychiatric Association.
    1. Bagby R. M., Parker J. D., Taylor G. J. (1994a). The twenty-item Toronto Alexithymia Scale—I. Item selection and cross-validation of the factor structure. J. Psychos. Res. 38 23–32. 10.1016/0022-3999(94)90005-1 - DOI - PubMed