URBAN FACTOR OF INTERNET ADDICTIVE BEHAVIOR OF UPPER-FORM PUPILS

Keywords: time perspective, self-determination, personal qualities, natural reality, virtual reality, way of life

Abstract

Task. Empirical establishment of the influence of the urbanization factor on personal characteristics and perspective self-determination in upper-form pupils prone to Internet addictive behavior in the modern information society. Methods. The empirical study involved 70 pupils of 10-11 forms of secondary general education schools, including 37 pupils from rural areas and 33 pupils from urban areas. The theoretical basis of the study were the provisions of the relative concept of J. Newton. The following methods were used: K. Young method; A. Zhychkina Internet addiction scale; F. Zimbardo method (ZPTI). Spearman correlation analysis and Mann-Whitney U test. Results. It is statistically proven that the severity of Internet addictive behavior in urban upper-form pupils, compared with rural ones, is significantly higher (U=84,5; p<0,001 and U=275,0; p<0,001). For the whole group, a close connection was established between the expressiveness of Internet addictive behavior and the following components of the time perspective: negative past (under K. Young: r=-0,373; p=0,001); positive past (under A. Zhychkina: r=-0,240; p=0,045); future (under A. Zhychkina: r=-0,346; p=0,003); hedonistic present (under K. Young: r=0,317; p=0,008). It was determined that urban upper-form pupils, compared to rural ones, are more focused on the hedonistic present (U=399,5; p=0,013) and less on the negative past (U=222,50; p<0,001) and future (U=441,50; p=0,046). It was found that urban pupils, compared with rural, have a more pronounced neuroticism (U=353,0; p=0,002), depression (U=330,0; p=0,001), reactive aggression (U=309,0; p<0,001), emotional lability (U=315,0; p<0.001). For the whole group, a direct relationship between the severity of Internet addictive behavior and spontaneous aggression was determined (under K. Young: r=0,363; p=0,003). Conclusions. In urban upper-form pupils, compared to rural ones, Internet addictive behavior is more pronounced. It is claimed that the limitation of the development of Internet addiction for rural pupils is significant physical activity, close connection with the natural environment, employment in vital economic activities. Urban upper-form pupils are primarily focused on intrapersonal processes; rural pupils are more inclined to interact with the environment, which reduces the risk of Internet addictive defeat. The selfdetermination of rural upper-form pupils is more based on the experience of the past and focused on the future, and this contradicts the formation of Internet addictive behavior. Urban upper-form pupils are more attuned to the hedonistic present that is inherent in Internet addiction.

References

1. Акімов С.К. Особливості впливу інтернет-адикції на ціннісні орієнтації особистості у контексті часової перспективи. Актуальні проблеми психології Психологія творчості. 2012. Т. 12. Вип. 15. Ч. І. С. 16–23.
2. Акопов А.Ю. Свобода от зависимости. Социальные болезни Личности. Санкт-Петербург : Речь, 2008. 224 с.
3. Войскунский А.Е., Смыслова О.В. Киберзаболевание в системах виртуальной реальности: ключевые факторы и сенсорная интеграция. Психологический журнал ИП РАН. 2020. Т. 41. № 1. С. 56–64.
4. Ільницька Л.А. Особливості локусу контролю особистості, схильної до інтернет-адиктивної поведінки. Наука і освіта. 2017. № 7. С. 31–36. URL: https://doi.org/10.24195/2414-4665-2017-7-5 (дата звернення: 19.07.2021).
5. Нюттен Ж. Мотивация, действие и перспектива будущего. Москва : Смысл, 2004. 608 с.
6. Плохих В.В., Акимов С.К. Особенности реализации когнитивных процессов у интернет-аддиктов. Психологический журнал ИП РАН. 2014. Т. 35. № 3. С. 78–84.
7. Плохіх В. В., Кадуха О. С. Інтелектуальні здібності у студентів з адиктивною схильністю щодо прослуховування музики. Науковий вісник Херсонського державного університету. Серія «Психологічні науки». 2021. № 1. С. 32–40.
8. Семинар с доктором медицины Милтоном Г. Эриксоном (Уроки гипноза) / ред. и комент. Д.К. Зейга. Москва : Психотерапия, 2015. 324 с.
9. Opinion of students on online education during the COVID-19 pandemic. Human Behavior and Emerging Technologies / P. Chakraborty et al. 2021. Volume 3. Issue 3. P. 357–365. URL: https://doi.org/10.1002/hbe2.240 (дата звернення: 15.07.2021).
10. Glaner M.F. Aptidão física relacionada à saúde de adolescentes rurais e urbanos em relação a critérios de referência. Rev Bras Educ Fís Esp. 2005. Volume 19. Issue 1. P. 13–24.
11. Koca T.T. Berk E. Influence of internet addiction on academic, sportive, and recreative activities in adolescents. Journal of Public Health: From Theory to Practice. 2019. Issue 27. P. 531–536. URL: https://doi.org/10.1007/s10389-018-0965-x (дата звернення: 08.07.2021).
12. Kuss D.J., Griffiths M.D., Binder J.F. Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior. 2013. Volume 29. Issue 3. P. 959–966.
13. Mohamed G., Bernouss R. A cross-sectional study on Internet addiction among Moroccan high school students, its prevalence and association with poor scholastic performance. International Journal of Adolescence and Youth. 2020. Volume 25. Issue 1. P. 479–490. URL: https://doi.org/10.1080/02673843.2019.1674165 (дата звернення: 17.07.2021).
14. Internet Addiction in High School Students and Its Relationship With the Symptoms of Mental Disorders. Iranian Rehabilitation Journal / P. Mohammadkhani et al. 2017. Volume 15. Issue 2. P. 141–148. URL: https://doi.org/10.18869/NRIP.IRJ.15.2.141 (дата звернення: 19.08.2021).
15. Perceived benefits, facilitators, disadvantages, and barriers for physical activity amongst South Asian adolescents in India and Canada. J Phys Act Health / D. Rajaraman et al. 2015. Volume 12. Issue 7. P. 931–941.
16. Internet addiction detection rate among college students in the People’s Republic of China: a metaanalysis. Child Adolesc Psychiatry Ment. Health / Y. Shao et al. 2018. Issue 12. P.25. URL: https://doi.org/10.1186/s13034-018-0231-6 (дата звернення: 03.08.2021).
17. Physical activity and associated socio-demographic factors among school adolescents in Jiangsu Province, China. Preventive Medicine: An International Journal Devoted to Practice and Theory / Z. Shi et al. 2006. Volume 43. Issue 3. P. 218–221. URL: https://doi.org/10.1016/j.ypmed.2006.04.017 (дата звернення: 10.07.2021).
18. Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China. Addict Behav Rep / M. Xin et al. 2017. Issue 7. P. 14–18.
19. The Psychological Impact of the COVID-19 Pandemic on Teenagers in China. Journal of Adolescent Health / C. Zhang et al. 2020. Volume 67. Issue 6. P. 747–755. DOI: 10.1016/j.jadohealth.2020.08.026
Published
2021-12-01
Pages
62-69
Section
SECTION 1 GENERAL PSYCHOLOGY; PSYCHOLOGY OF PERSONALITY