Internet addiction and addiction to computer games in the work of Russian psychologists

Abstract

Objectives. This literary review is devoted to domestic research in the field of psychology of Internet addiction and addiction to computer games. Background. The popularity of topics related to Internet technologies is explained by their novelty, great dynamism and poorly studied, which causes social anxiety, catalyzing the activity of scientists in this area. In addition, one can note the high rate of spread of cyberdictions, due to which some authors are in a hurry to call them a threat to society. The structure of the study. The article provides data on the criteria, diagnostic techniques, causes, programs for the prevention and rehabilitation of Internet addiction and computer games, gives psychological characteristics of addicts, and traces the current trends in research into this problem area. Conclusions. According to the results of domestic empirical studies, Internet users, Internet addicts and gamers have negative psychological characteristics. The Internet has a destructive influence on the person, which is manifested in the simplification of speech, isolationism, and Internet users have difficulties in communication, a tendency to negativity, inadequate self-esteem, etc. Internet addicts will be characterized by deviations in the intellectual, motivational spheres, interpersonal relationships, coping strategies, value orientations, and planning. Users who are addicted to computer games will be distinguished by inconsistency with social norms, an overestimation of their capabilities, an unformed form of self, and unmotivated actions. Currently, the grounds for highlighting the criteria for cyberdictions are being rethought, more and more publications are turning to the positive impact of the Internet and computer games, noting their resource potential.

Psychological and genetic characteristics and strategies of students’ digital behavior in the context of the formation of the digital ecosystem

“…Recent research has also delved into the personal determinants of online behavior. Studies have shown that both individual characteristics and elements of the value-semantic sphere are linked to problematic Internet use, online presence parameters, communication patterns, and self-presentation [30,2,31,32]. Regarding the association with DRD2 gene polymorphisms, it is noteworthy that statistically significant effects were observed primarily in relation to the active "destructive" digital behavior form.…”

Validation of the Russian version of the Social Media Disorder Scale (SMDS) questionnaire in adolescents

“…Объектом исследования была случайная выборка 3074 подростков 11-19 лет (46,1% мальчиков и 53,9% девочек) -учащихся 10 общеобразовательных учебных заведений 5 районов Красноярскакрупного промышленного и административного центра Красноярского края. Медиана возраста испытуемых составила 14 (13)(14)(15)(16) лет, подавляющее большинство (99,4%) из них находились в возрасте 12-18 лет. Младшие подростки (11-14 лет) составили 52,0%, старшие (15-19 лет) -48,0%.…”

“…В настоящее время существует консенсус в отношении диагностических критериев, позволяющий четко отграничить патологическую составляющую аддикции от нормального повседневного использования интернета подростками: клинический диагноз PSMU, как и генерализованная Materials and methods. After the procedures of direct and reverse translation of the questionnaire, the psychometric validation of the test was carried out on a Russian-speaking sample of 3074 adolescents aged 11-19 years (46.1% of boys and 53.9% of girls, median age 14 (13)(14)(15)(16)) years) -students of 10 educational institutions in Krasnoyarsk. The external validity of the SMDS-RU questionnaire was assessed using the following methods: Chen Internet Addiction Scale (CIAS) -to assess the presence of Internet addicted behavior; the Strengths and Challenges Questionnaire (SDQ) -to analyze the mental health of the subjects.…”

Prevention of Technology Addiction: Domestic Experience and Foreign Initiatives

“…Компаративный Например, Н. В. Кочетков указывает на границы распространенности форм технологической зависимости в регионах России от 4,3 до 22,8 % [11]. Подобные данные представлены также в трудах М. А. Южанина, подтверждающего, что в 2020 г.…”