Which Dark Personality Traits Could Predict Insomnia? The Mediated Effects of Perceived Stress and Ethical Judgments

Seyed Hojjat Zamani Sani; Gianpiero Greco; Zahra Fathirezaie; Georgian Badicu; Mohammad Taghi Aghdasi; Kosar Abbaspour; Francesco Fischetti

doi:10.3390/bs13020122

Which Dark Personality Traits Could Predict Insomnia? The Mediated Effects of Perceived Stress and Ethical Judgments

Behav Sci (Basel). 2023 Feb 1;13(2):122. doi: 10.3390/bs13020122.

Authors

Seyed Hojjat Zamani Sani¹, Gianpiero Greco², Zahra Fathirezaie¹, Georgian Badicu³, Mohammad Taghi Aghdasi¹, Kosar Abbaspour¹, Francesco Fischetti²

Affiliations

¹ Motor Behavior Faculty, Physical Education and Sport Sciences Faculty, University of Tabriz, Tabriz 51666, Iran.
² Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Study of Bari, 70124 Bari, Italy.
³ Department of Physical Education and Special Motricity, Faculty of Physical Education and Mountain Sports, Transilvania University of Braşov, 500068 Braşov, Romania.

Abstract

This study aimed to investigate the relationship between dark personality traits and insomnia by considering the mediated effects of perceived stress and ethical judgments. This descriptive and correlational study was conducted with 464 university athlete students from individual and team sports. Dark Triad Scale (DTS), Insomnia Severity Index (ISI), Perceived Stress Scale (PSS), and Moral Content Judgment in Sport Questionnaire (MCJSQ) were used. Significant correlation coefficients were observed between the dark personality traits and other variables. Regression analysis showed that psychopathy (about 19%) and ethical judgments (about 16%) could predict insomnia. It was shown that among dark personality traits, psychopathy along with ethical judgments could predict insomnia.

Keywords: dark personality traits; ethical judgments; insomnia; perceived stress.

Grants and funding

This research was funded by the University of Tabriz, International and Academic Cooperation Directorate, in the framework of the TabrizU-300 program.