Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan
Summary. The increased maladaptive Internet use and associated psychosomatic disorders in modern adolescents is an urgent medical problem. The aim of the study was to research the gender prevalence and pattern structure of various types of online behavior in adolescents from Abakan (Khakassia). Mate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Russian |
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Federal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian Federation
2021-10-01
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| Series: | Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева |
| Subjects: | |
| Online Access: | https://www.bekhterevreview.com/jour/article/view/589 |
| _version_ | 1797694480897277952 |
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| author | L. S. Evert S. Yu. Tereshchenko Yu. R. Kostyuchenko N. B. Semenova |
| author_facet | L. S. Evert S. Yu. Tereshchenko Yu. R. Kostyuchenko N. B. Semenova |
| author_sort | L. S. Evert |
| collection | DOAJ |
| description | Summary. The increased maladaptive Internet use and associated psychosomatic disorders in modern adolescents is an urgent medical problem. The aim of the study was to research the gender prevalence and pattern structure of various types of online behavior in adolescents from Abakan (Khakassia). Material and methods. A one-time screening examination of random samples of students from 4 schools in the city of Abakan was carried out from April to May 2019. It was examined 1360 adolescents (49.5% of boys and 50.5% of girls) aged 12-18 years (mean age 14.7 ± 1.3). Online behavior was assessed using the Chen Internet Addiction Scale (CIAS) based on the total CIAS score. There were 2 groups (boys and girls) for the indicators to be analyzed, with the data processed using the “Statistica 12” program. Results. Adaptive Internet use (AIU) is typical for 56.5% of Abakan adolescents, Non-adaptive maladaptive (NIU) — for 37.6% and Internet-dependent, pathological Internet use (PIU) — for 5.9%. The incidence and pattern structure of various types of online behavior are associated with gender. The prevalence of maladaptive types of online behavior is higher among girls: non-adaptive (42.4% versus 32.8% in boys) and pathological (8.0% versus 3.7%). There are significant gender differences in the Com, Wit, Tol scales, key symptoms of Internet addiction (KSIA), Problems Associated with Internet Addiction (PAIA) and the total CIAS score of the Chen scale. Girls have higher average scores for all subscales of the Chen questionnaire, i.e. both key symptoms of Internet addiction, and the total CIAS score. Conclusion. The prevalence of maladaptive types of online behavior among adolescents in Abakan and also a high association with gender confirm the relevance of the problem and indicate the further research in the given area is needed. |
| first_indexed | 2024-03-12T02:58:35Z |
| format | Article |
| id | doaj.art-e70ce2b74ede4560a9635104e662afe6 |
| institution | Directory Open Access Journal |
| issn | 2313-7053 2713-055X |
| language | Russian |
| last_indexed | 2024-03-12T02:58:35Z |
| publishDate | 2021-10-01 |
| publisher | Federal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian Federation |
| record_format | Article |
| series | Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева |
| spelling | doaj.art-e70ce2b74ede4560a9635104e662afe62023-09-03T15:08:43ZrusFederal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian FederationОбозрение психиатрии и медицинской психологии имени В.М. Бехтерева2313-70532713-055X2021-10-0155310110910.31363/2313-7053-2021-56-3-101-109413Gender prevalence and pattern structure of various online behaviors among adolescents in AbakanL. S. Evert0S. Yu. Tereshchenko1Yu. R. Kostyuchenko2N. B. Semenova3Federal Research Center «Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences», Research Institute for Medical Problems in the North - separate subdivision of FRC KSC SB RAS Ministry of Science and Higher Education of the Russian Federation; Khakass State University named after N.F. Katanova, Medical Psychological and Social InstituteFederal Research Center «Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences», Research Institute for Medical Problems in the North - separate subdivision of FRC KSC SB RAS Ministry of Science and Higher Education of the Russian FederationFederal Research Center «Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences», Research Institute for Medical Problems in the North - separate subdivision of FRC KSC SB RAS Ministry of Science and Higher Education of the Russian FederationFederal Research Center «Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences», Research Institute for Medical Problems in the North - separate subdivision of FRC KSC SB RAS Ministry of Science and Higher Education of the Russian FederationSummary. The increased maladaptive Internet use and associated psychosomatic disorders in modern adolescents is an urgent medical problem. The aim of the study was to research the gender prevalence and pattern structure of various types of online behavior in adolescents from Abakan (Khakassia). Material and methods. A one-time screening examination of random samples of students from 4 schools in the city of Abakan was carried out from April to May 2019. It was examined 1360 adolescents (49.5% of boys and 50.5% of girls) aged 12-18 years (mean age 14.7 ± 1.3). Online behavior was assessed using the Chen Internet Addiction Scale (CIAS) based on the total CIAS score. There were 2 groups (boys and girls) for the indicators to be analyzed, with the data processed using the “Statistica 12” program. Results. Adaptive Internet use (AIU) is typical for 56.5% of Abakan adolescents, Non-adaptive maladaptive (NIU) — for 37.6% and Internet-dependent, pathological Internet use (PIU) — for 5.9%. The incidence and pattern structure of various types of online behavior are associated with gender. The prevalence of maladaptive types of online behavior is higher among girls: non-adaptive (42.4% versus 32.8% in boys) and pathological (8.0% versus 3.7%). There are significant gender differences in the Com, Wit, Tol scales, key symptoms of Internet addiction (KSIA), Problems Associated with Internet Addiction (PAIA) and the total CIAS score of the Chen scale. Girls have higher average scores for all subscales of the Chen questionnaire, i.e. both key symptoms of Internet addiction, and the total CIAS score. Conclusion. The prevalence of maladaptive types of online behavior among adolescents in Abakan and also a high association with gender confirm the relevance of the problem and indicate the further research in the given area is needed.https://www.bekhterevreview.com/jour/article/view/589adolescentsonline behaviorgender differencespatterns of online behavior |
| spellingShingle | L. S. Evert S. Yu. Tereshchenko Yu. R. Kostyuchenko N. B. Semenova Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева adolescents online behavior gender differences patterns of online behavior |
| title | Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan |
| title_full | Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan |
| title_fullStr | Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan |
| title_full_unstemmed | Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan |
| title_short | Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan |
| title_sort | gender prevalence and pattern structure of various online behaviors among adolescents in abakan |
| topic | adolescents online behavior gender differences patterns of online behavior |
| url | https://www.bekhterevreview.com/jour/article/view/589 |
| work_keys_str_mv | AT lsevert genderprevalenceandpatternstructureofvariousonlinebehaviorsamongadolescentsinabakan AT syutereshchenko genderprevalenceandpatternstructureofvariousonlinebehaviorsamongadolescentsinabakan AT yurkostyuchenko genderprevalenceandpatternstructureofvariousonlinebehaviorsamongadolescentsinabakan AT nbsemenova genderprevalenceandpatternstructureofvariousonlinebehaviorsamongadolescentsinabakan |