Problematic overstudying, Big Five personality, and music performance anxiety: associations with well-being and GPA
Słowa kluczowe:
academic performance, learning engagement, personality, musical performance anxiety, study addictionAbstrakt
Background:
Problematic overstudying is a compulsive and pathological overinvolvement in studying leading to harm and considerable functional impairments. It is conceptualized as “study addiction,” a precursor to work addiction. It has been investigated within the addictive behaviours framework in general populations of students for over a decade. A previous study analysed the problem among young musicians as a particularly vulnerable group. It found some important differences in potential personality risk factors among music academy students compared to general populations of students and showed an im-portant role of social anxiety. The current study aimed to validate these findings in a separate larger sample and extend them by investigating the role of music performance anxiety (MPA).
Participants and procedure:
The study was conducted among 213 students of music academies. Valid and reliable measures of study addiction, MPA, Big Five personality and well-being were used.
Results:
The results showed that MPA played a similar role as social anxiety in terms of being a predictor, mediator, and moderator of the main replicated effects supporting the hypothesised mechanisms regulating study addiction. However, extraversion was not associated with study addiction in multiple hierarchical regression analysis, but conscientiousness and neuroticism were. Study addiction was associated with indicators of decreased well-being, above and beyond MPA, and personality.
Conclusions:
These results show that MPA plays an analogous role to social anxiety and that the role of Big Five personality in study addiction among young musicians requires further investigation due to inconsistent findings.
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Bibliografia
American Psychiatric Association (2022). Diagnostic and statistical manual of mental disorders: DSM-5- TR (5th ed., text rev.). APA Publishing. https://doi. org/10.1176/appi.books.9780890425787.
Atroszko, P. A. (2014). Developing brief scales for educational research: Reliability of single-item self-report measures of learning engagement and exam stress. In M. McGreevy & R. Rita (Eds.), Proceedings of the 1st Biannual CER Comparative European Research Conference (pp. 172–175). Sciemcee.
Atroszko, P. A. (2015). The structure of study addiction: Selected risk factors and the relationship with stress, stress coping and psychosocial functioning (Unpublished doctoral thesis). University of Gdansk, Poland.
Atroszko, P. A. (2022a). Non-drug addiction: Addiction to work. In V. B. Patel & V. R. Preedy (Eds.), Handbook of substance misuse and addictions (pp. 2981–3012). Springer. https://doi.org/10.1007/978- 3-030-67928-6_3-1.
Atroszko, P. A. (2022b). Inventory for early screening of work addiction-related behaviors in high school and undergraduate students: features and applications. In V. B. Patel & V. R. Preedy (Eds.), Handbook of substance misuse and addictions (pp. 3157–3198). Springer. https://doi.org/10.1007/978- 3-030-67928-6_3-1.
Atroszko, P. A., Andreassen, C. S., Griffiths, M. D., & Pallesen, S. (2015). Study addiction – a new area of psychological study: Conceptualization, assessment, and preliminary empirical findings. Journal of Behavioral Addictions, 4, 75–84. https:// doi.org/10.1556/2006.4.2015.007.
Atroszko, P. A., Andreassen, C. S., Griffiths, M. D., & Pallesen, S. (2016a). The relationship between study addiction and work addiction: a cross-cultural longitudinal study. Journal of Behavioral Addictions, 5, 708–714. https://doi.org/10.1556/2006.5.2016.076.
Atroszko, P. A., Andreassen, C. S., Griffiths, M. D., & Pallesen, S. (2016b). Study addiction: a crosscultural longitudinal study examining temporal stability and predictors of its changes. Journal of Behavioral Addictions, 5, 357–362. https://doi.org/ 10.1556/2006.5.2016.024.
Atroszko, B., & Atroszko, P. A. (2020). Educational pressure and development of study addiction, work addiction and other mental disorders. Ars Educandi, 17, 11–39. https://doi.org/10.26881/ae.2020.17.01.
Atroszko, P. A., & Atroszko, B. (2019). Type-A personality competitiveness component linked to increased cardiovascular risk is positively related to study addiction but not to study engagement. Current Science, 117, 1184. https://doi.org/10.18520/cs/ v117/i7/1184-1188.
Atroszko, P. A., Atroszko, B., & Charzyńska, E. (2021). Subpopulations of addictive behaviors in different sample types and their relationships with gender, personality, and well-being: Latent profile vs. latent class analysis. International Journal of Environmental Research and Public Health, 18, 8590. https://doi.org/10.3390/ijerph18168590.
Atroszko, P. A., Buźniak, A., Woropay Hodziejewicz, N., Kierzkowski, M., & Lawendowski, R. (2023a). Identifying individual vulnerabilities and problematic behaviours hindering musicians’ development: Obsessive-compulsive personality disorder vs. study addiction. Musicae Scientiae, 27, 889912. https://doi.org/10.1177/10298649231184920.
Atroszko, P. A., Charzyńska, E., Buźniak, A., Czerwiński, S. K., Griffiths, M. D., Jankowska, A., Kamble, S., Mizik, Z., Pontes, H., Shane, J., Sussman, S., Woropay-Hordziejewicz, N., & Pallesen, S. (2023b). Validity, reliability, and cross-cultural comparability of a problematic overstudying scale across European, North American, and Asian countries. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-023-01128-5.
Atroszko, P. A., Demetrovics, Z., & Griffiths, M. D. (2020). Work addiction, obsessive-compulsive personality disorder, burn-out, and global burden of disease: Implications from the ICD-11. International Journal of Environmental Research and Public Health, 17, 660. https://doi.org/10.3390/ijerph 17020660.
Atroszko, P. A., Sawicki, A., & Kamble, S. (2019). Crosscultural pilot study on the relationship between study addiction and narcissism among undergraduate students in Poland and India. Health Psychology Report, 7, 325–333. https://doi.org/10.5114/ hpr.2019.88058.
Bereznowski, P., Atroszko, P. A., & Konarski, R. (2023a). Work addiction, work engagement, job burnout, and perceived stress: A network analy sis. Frontiers in Psychology, 14, 1130069. https://doi. org/10.3389/fpsyg.2023.1130069.
Bereznowski, P., Bereznowska, A., Atroszko, P. A., & Konarski, R. (2023b). Work addiction and work engagement: a network approach to cross-cultural data. International Journal of Mental Health and Addiction, 21, 2052–2076. https://doi.org/10.1007/ s11469-021-00707-8.
Breitenfeld, D., Krištofić, B., Breitenfeld, T., Vodanović, M., Kostelić, I., Šimunec, I., & Jagetić, T. (2014). Fatal diseases of composers due to tobacco smoking and other addictions. Alcoholism and Psychiatry Research, 50, 139–153. https://doi. org/10.1007/978-981-10-7530-8_14.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 385–396. https://doi. org/10.2307/2136404.
Credé, M., Harms, P., Niehorster, S., & Gaye-Valentine, A. (2012). An evaluation of the consequences of using short measures of the big five personality traits. Journal of Personality and Social Psychology, 102, 874–888. https://doi.org/10.1037/a0027403.
Charzyńska, E., Sussman, S., & Atroszko, P. A. (2021). Profiles of potential behavioral addictions’ severity and their associations with gender, personality, and well-being: a person-centered approach. Addictive Behaviors, 119, 106941. https://doi.org/ 10.1016/j.addbeh.2021.106941.
Czerwiński, S. K., Lawendowski, R., Kierzkowski, M., & Atroszko, P. A. (2023). Can perseverance of effort become maladaptive? Study addiction moderates the relationship between this component of grit and well-being among Music Academy students. Musicae Scientiae, 27, 568–595. https://doi. org/10.1177/10298649221095135.
Dobos, B., Piko, B. F., & Kenny, D. T. (2019). Music performance anxiety and its relationship with social phobia and dimensions of perfectionism. Research Studies in Music Education, 41, 310–326. https://doi. org/10.1177/1321103X18804295.
Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The Mini-IPIP scales: Tiny-yeteffective measures of the Big Five factors of personality. Psychological Assessment, 18, 192–203. https://doi.org/10.1037/1040-3590.18.2.192.
Everts, R., & Haynes, J. (2021). Taking care of business: The routines and rationales of early-career musicians in the Dutch and British music industries. International Journal of Cultural Studies, 24, 731– 748. https://doi.org/10.1177/13678779211004610.
Fehm, L., & Schmidt, K. (2006). Performance anxiety in gifted adolescent musicians. Journal of Anxiety Disorders, 20, 98–109. https://doi.org/10.1016/ j.janxdis.2004.11.011.
Godzwon, J. M., Wielewska, M. K., & Atroszko, P. A. (2022). The relationship of study addiction with social support and satisfaction with intimate re lationships. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-022- 00874-2.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: a regressionbased approach. Guilford Press.
Hook, J. N., & Valentiner, D. P. (2006). Are specific and generalized social phobias qualitatively distinct? Clinical Psychology: Science and Practice, 9, 379–395. https://doi.org/10.1093/clipsy.9.4.379.
Huang, W. L., & Yu, H. (2022). Social support in university music students’ coping with performance anxiety: People, strategies and performance situations. Music Education Research, 24, 124–135. https://doi. org/10.1080/14613808.2022.2028752.
Kemp, A. E. (1996). The musical temperament: Psychology and personality of musicians. Oxford University Press.
Kenny D. (2009, December). The factor structure of the revised Kenny Music Performance Anxiety Inventory. Paper presented at the International Symposium on Performance Science, Auckland, New Zealand.
Kenny, D. T. (2011). The psychology of music performance anxiety. Oxford University Press.
Kircaburun, K., Süral, İ., March, E., Balta, S., Emirtekin, E., & Griffiths, M. D. (2021). Study addiction and ‘dark’ personality traits: a crosssectional survey study among emerging adults. Journal of Addictive Diseases, 39, 307–315. https:// doi.org/10.1080/10550887.2021.1872469.
Lawendowski, R., Bereznowski, P., Wróbel, W. K., Kierzkowski, M., & Atroszko, P. A. (2020). Study addiction among musicians: Measurement, and relationship with personality, social anxiety, performance, and psychosocial functioning. Musicae Scientiae, 24, 449–474. https://doi.org/10.1177/10298649 18822138.
Long, J. A. (2020). Package “interactions”. Retrieved from https://cran.rproject.org/web/packages/interactions/interactions.pdf.
Marchant-Haycox, S. E., & Wilson, G. D. (1992). Personality and stress in performing artists. Personality and Individual Differences, 13, 1061–1068. https://doi.org/10.1016/0191-8869(92)90021-G.
Mor, S., Day, H. I., Flett, G. L., & Hewitt, P. L. (1995). Perfectionism, control, and components of performance anxiety in professional artists. Cognitive Therapy and Research, 19, 207–225. https://doi. org/10.1007/BF02229695.
Mula, M., & Trimble, M. R. (2009). Music and madness: Neuropsychiatric aspects of music. Clinical Medicine, 9, 83–86. https://doi.org/10.7861/clinmedicine.9-1-83.
Oksanen, A. (2013). Addiction and rehabilitation in autobiographical books by rock artists, 1974–2010. Drug and Alcohol Review, 32, 53–59. https://doi. org/10.1111/j.1465-3362.2012.00474.x.
R Core Team (2020). R: a language and environment for statistical computing. R Foundation for Statisti - cal Computing.
Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47, 609–612. https://doi. org/10.1016/j.jrp.2013.05.009.
Skevington, S. M., Lotfy, M., O’Connell, K. A., & WHOQOL Group (2004). The World Health Organization’s WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A report from the WHOQOL group. Quality of Life Research, 13, 299–310. https://doi.org/10.1023/B:QURE.0000018 486.91360.00.
Spahn, C., Voltmer, E., Mornell, A., & Nusseck, M. (2017). Health status and preventive health be - havior of music students during university educa - tion: Merging prior results with new insights from a German multicenter study. Musicae Scientiae, 21, 213–229. https://doi.org/10.1177/1029864917698197.
Stoeber, J., & Eismann, U. (2007). Perfectionism in young musicians: Relations with motivation, effort, achievement, and distress. Personality and Individual Differences, 43, 2182–2192. https://doi. org/10.1016/j.paid.2007.06.036.
Vaag, J., Bjørngaard, J. H., & Bjerkeset, O. (2016). Symptoms of anxiety and depression among Nor - wegian musicians compared to the general work - force. Psychology of Music, 44, 234–248. https://doi. org/10.1177/0305735614564910.
Vaag, J., Bjerkeset, O., & Sivertsen, B. (2021). Anxi - ety and depression symptom level and psycho - therapy use among music and art students com - pared to the general student population. Frontiers in Psychology, 12, 607927. https://doi.org/10.3389/ fpsyg.2021.607927.
Wilson, G. D. (2002). Psychology for performing artists (2nd ed.). Whurr Publishers.
Wiedemann, A., Vogel, D., Voss, C., & Hoyer, J. (2021). How does music performance anxiety relate to other anxiety disorders? Psychology of Music, 50, 204–217. https://doi.org/10.1177/0305735620988600.
Woropay-Hordziejewicz, N. A., Buźniak, A., Lawen - dowski, R., & Atroszko, P. A. (2022). Compulsive study behaviors are associated with eating dis - orders and have independent negative effects on well-being: a structural equation model study among young musicians. Sustainability, 14, 8617. https://doi.org/10.3390/su14148617.
Wróbel, W. K. (2020). Study addiction among high school students: Measurement and relationship with psychopathology, personality, quality of life, and school variables. (Unpublished master’s the - sis). University of Gdansk, Poland.