Internet addiction predictors: analysis of psychological factors

Author:

Trusova A. V.1,Grechanyi S. V.2,Soldatkin V. A.3,Yakovlev A. N.4,Ilyuk R. D.5,Chuprova N. A.6,Nikolishin А. Е.6,Ponizovskiy P. A.6,Kibitov A. A.7,Vantej V. B.4,Gromyko D. I.5,Dolgih N. N.4,Erofeeva N. A.5,Ilichev A. B.2,Magomedova E. A.3,Nechaeva A. I.5,Pashkevich N. V.4,Pozdnyak V. V.2,Semenova Y. S.5,Sidorov A. A.3,Khanykov V. V.6,Khutoryanskaya J. V.2,Krupitsky E. M.8,Shmukler A. B.6,Egorov A. Yu.9,Kibitov A. O.10

Affiliation:

1. V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology; Saint Petersburg University

2. Saint-Petersburg State Pediatric Medical University

3. Rostov State Medical University

4. Lipetsk Regional Addiction Hospital

5. V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology

6. Serbsky National Medical Research Centre on Psychiatry and Addictions

7. Lomonosov Moscow State University

8. V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology; Pavlov First Saint Petersburg State Medical University

9. Saint Petersburg University; Sechenov Institute of Evolutionary Physiology and Biochemistry Russian Academy of Sciences; North-Western State Medical University named after I.I. Mechnikov

10. Serbsky National Medical Research Centre on Psychiatry and Addictions; V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology

Abstract

The article presents the results of a study of individual psychological factors that are potentially significant for the development of Internet addiction (IA), carried out as part of the Russian interdisciplinary research project to identify a system of high-risk markers for developing IA. As a result of the analysis, a model of psychological predictors of IA was obtained, which includes personality characteristics — high nonplanning impulsiveness (as a lack of forethought and ability to follow future plans), and low self-direction (concerning to Cloninger’s psychobiological model of personality). Additionally, childhood experiences of living in a community with a high level of violence were included in the model as one of the psychological predictors. The male gender also entered one of the final models as a risk factor for the development of IA. The results can be used as the basis for the development of targeted psychological assistance programs and preventive measures aimed at improving the specific characteristics of inhibitory control and the development of self-awareness.

Publisher

V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology

Reference18 articles.

1. Bakirov LR. Psychometric indicators of Internet addiction in student computer users. Nevrologicheskii vestnik. Zhurnal imeni V.M. Bekhtereva. 2015; 2:94-96. (in Russ.)

2. Egorov AY, Charnaya DI, Khutorianskaya YV, Pavlov AV, Grechanyi SV. Internet-dependent behavior in adolescents with mental disorders. Obozrenie psikhiatrii i meditsinskoi psikhologii imeni V.M.Bekhtereva. 2018; 4:35-45. (in Russ.) https://doi.org/10.31363/2313-7053-2018-4-35-45

3. Kibitov AO, Trusova AV, Egorov AYu. Internet addiction: clinical, biological, genetic and psychological aspects. Voprosy narkologii. 2019; 3:22-47. (in Russ.)

4. Malygin V.L., Feklisov K.A., Iskandirova A.S., Antonenko A.A., Smirnova E.A., Khomeriki N.S. Internet-zavisimoe povedenie. Kriterii i metody diagnostiki. Uchebnoe posobie dlya studentov fakul’teta klinicheskoi psikhologii po distsipline spetsializatsii «Psikhologicheskaya korrektsiya addiktivnogo povedeniya». M.: MGMSU, 2011. (in Russ.)

5. Malygin VL, Khomeriki NS, Antonenko A.A. Individually-psychological qualities of adolescents as risk-factors for development of internet-addictive behaviour. Med. psihol. Ross. 2015;1(30):7.

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