Leisure activities of young drug users and non-drug users: association with five personality factors
The article presents the survey data of 4422 Kharkiv students from higher education institutions of III-IV accreditation levels, among whom 8.1 % used drugs during the last year. Using the validated and adapted BFI-10 screening questionnaire for the rapid diagnosis of five personality factors, the association of personality factors with drug use in the 12 months before the study has been established. The analysis of the leisure activities of student youth in Kharkiv shows that it is quite stable. The most common forms of leisure are spending free time on the Internet, going for walks and socialising with friends, studying and doing homework, watching films and TV programmes (including on the Internet), as well as hobbies and interests. Individual sports activities, reading books, going to cafes and restaurants with friends, playing computer games, and working or having a part-time job are of medium prevalence. The least common forms of active recreation were bowling or billiards, attending a sports section, concerts, clubs or discos. Doing homework (r=0.103, p<0.01), watching TV programmes (r=0.083, p<0.01) and playing sports individually (r=0.063, p<0.01) have a negative correlation with drug use. Low values of the big five personality factors “C” – conscientiousness (r=0.063, p<0.01) and work in free time (r=–0.136, p<0.01) – have a positive correlation with drug use.
Factor analysis has allowed to identify and meaningfully interpret eight factors that describe the internal structure of leisure activities of student youth in Kharkiv. Only one factor was found to be related to drug use which is the factor of “Earning money for drugs”, which consists of low values of the personal factor “Consciousness” and the dominance of work over studies in the structure of leisure time. Two factors related to computer game playing have also been identified such as “psychopathic gaming behaviour” and “neurotic gaming behaviour”. The findings allow to draw a conclusion that should be used in building prevention programmes: the risk of drug use increases in individuals with a low level of the Big Five C personality factor – consciousness – and the dominance of work and part-time jobs in the structure of leisure over the main activity of the student which is studying.
Serdiuk, О. О., & Bazyma, В. О. (2021). Adaptation of the five-factor BFI-10 personality screening questionnaire and testing of its diagnostic properties on the example of drug users. Law and Safety, 83(4), 100–110. https://doi.org/10.32631/pb.2021.4.10.
Bitenskyi, V. S., Lychko, A. Ye., & Khersonskyi, B. H. (1992). Psychological factors in the development of substance abuse in adolescents. Psychological Journal, 12(4), 86–89.
Mykilskyi, S. N., & Karpova, O. P. (2000). Studying the personality traits of drug addicts-offenders according to the SMOT test. Experimental and Clinical Medicine, 3, 100–103.
Linsky, I. V., & Savkina, T. V. (2000). Psychological features as factors of predisposition to the development of mental and behavioral disorders due to the use of psychoactive substances. Ukrainian Medical Almanac, 3(2), 84–86.
Berezin, S. V., & Lisetskii, K. (Eds). (2001). Psychological foundations for the prevention of drug addiction in the family. Samara University Publishing House.
Noyan A. (2017). The Effects of Personality Traits and Leisure Time Behaviours on Life Satisfaction: A Study of Turkish and Australian Students. International Journal of Management and Applied Science, 3(3), 28–33.
Kovacs, A. (2007). The leisure personality: Relationships between personality, leisure satisfaction, and life satisfaction. Dissertation Abstracts International Section A: Humanities and Social Sciences, 68. https://psycnet.apa.org/record/2007-99211-049.
Asquith, S. L., Wang, X., Quintana, D. S., & Abraham, A. (2022). The role of personality traits and leisure activities in predicting wellbeing in young people. BMC Psychology, 10. https://doi.org/10.1186/s40359-022-00954-x.
Sander, J., Schumann, P., Richter, D., & Specht, J. (2021). Leisure Activities as a Driver of Personality Development? A Random-Intercept Cross-lagged Panel Model Across 13 Years in Adulthood. Collabra: Psychology, 7(1). https://doi.org/10.1525/collabra.23473.
Kuper, N., Kroencke, L., Harari, G. M., & Denissen, J. J. A. (2023). Who benefits from which activity? On the relations between personality traits, leisure activities, and well-being. Journal of Personality and Social Psychology, 125(1), 141–172. https://doi.org/10.1037/pspp0000438.
Serdiuk, O. O., Burlaka, V. V., Danylenko, H. M. et al. (2021). Youth and drugs – 2021: results of monitoring of addictive behavior among youth in Kharkiv 1995–2020 and the student module of the Ukrainian Longitudinal Study (ULS+). Kharkiv National University of Internal Affairs. https://doi.org/10.32631/dr2021.
Maksymenko, S. D., Kokun, O. M., Panok, V. H. et al. (2022). Ukrainian Longitudinal Study (ULS): Methodological recommendations for the use of psychodiagnostic tools of the second wave of research. National Academy of Sciences of Ukraine, G. S. Kostyuk Institute of Psychology. https://doi.org/10.32631/uls2022.
Rammstedt, B., & John, O. (2007). Measuring personality in one minute or less: A 10 item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41(1), 203–212. https://doi.org/10.1016/j.jrp.2006.02.001.
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