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Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia
INTRODUCTION: An urgent problem all over the world is the growing number of adolescents with maladaptive (Internet addicted) Internet use. OBJECTIVES: To study the prevalence of various types of online behavior in adolescents in the southern regions of Siberia (Caucasians and Mongoloids). METHODS: 4...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471110/ http://dx.doi.org/10.1192/j.eurpsy.2021.1498 |
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author | Semenova, N. L, L. Evert Kostyuchenko, Y. Tereshchenko, S. |
author_facet | Semenova, N. L, L. Evert Kostyuchenko, Y. Tereshchenko, S. |
author_sort | Semenova, N. |
collection | PubMed |
description | INTRODUCTION: An urgent problem all over the world is the growing number of adolescents with maladaptive (Internet addicted) Internet use. OBJECTIVES: To study the prevalence of various types of online behavior in adolescents in the southern regions of Siberia (Caucasians and Mongoloids). METHODS: 4351 adolescents aged 12-18 in the city of Krasnoyarsk and the city of Abakan (Republic of Khakassia) were surveyed. Ethnicity is determined by the nationality of the mother. Online behavior was studied using the Chen Internet Addiction Scale (CIAS): adaptive internet use (API) – 27-42 points, non-adaptive (NPI) – 43-64 points and pathological (PPI) ≥ 65 points. The indicators were compared in 2 groups: Caucasians and Mongoloids. The program “Statistica 12” was used, the percentage of the share, the significance of the differences (p) and the values of the Pearson χ(2) test were indicated. RESULTS: Caucasians by their mothers accounted for 3663 (84.2%) and the share of Mongoloids reached 688 (15.8%). AIP was recorded in 44.0% of Caucasians and 7.9% of Mongoloids (p <0.0001; χ2 = 1474.99), NPI was recorded in 34.7% of Caucasians and 6.2% of Mongoloids (p <0.0001; χ2 = 1084.65), PPI was found in 5.5% of Caucasians and 1.7% of Mongoloids (p <0.0001; χ2 = 90.49). CONCLUSIONS: Ethnic features of the prevalence of online behavior in adolescents in the southern regions of Siberia include a higher frequency of NPI and PPI in Caucasians compared to Mongoloids. The reported study was funded by RFBR according to the research project № 18-29-22032\18. CONFLICT OF INTEREST: The reported study was funded by RFBR according to the research project № 18-29-22032\18. |
format | Online Article Text |
id | pubmed-9471110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94711102022-09-29 Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia Semenova, N. L, L. Evert Kostyuchenko, Y. Tereshchenko, S. Eur Psychiatry Abstract INTRODUCTION: An urgent problem all over the world is the growing number of adolescents with maladaptive (Internet addicted) Internet use. OBJECTIVES: To study the prevalence of various types of online behavior in adolescents in the southern regions of Siberia (Caucasians and Mongoloids). METHODS: 4351 adolescents aged 12-18 in the city of Krasnoyarsk and the city of Abakan (Republic of Khakassia) were surveyed. Ethnicity is determined by the nationality of the mother. Online behavior was studied using the Chen Internet Addiction Scale (CIAS): adaptive internet use (API) – 27-42 points, non-adaptive (NPI) – 43-64 points and pathological (PPI) ≥ 65 points. The indicators were compared in 2 groups: Caucasians and Mongoloids. The program “Statistica 12” was used, the percentage of the share, the significance of the differences (p) and the values of the Pearson χ(2) test were indicated. RESULTS: Caucasians by their mothers accounted for 3663 (84.2%) and the share of Mongoloids reached 688 (15.8%). AIP was recorded in 44.0% of Caucasians and 7.9% of Mongoloids (p <0.0001; χ2 = 1474.99), NPI was recorded in 34.7% of Caucasians and 6.2% of Mongoloids (p <0.0001; χ2 = 1084.65), PPI was found in 5.5% of Caucasians and 1.7% of Mongoloids (p <0.0001; χ2 = 90.49). CONCLUSIONS: Ethnic features of the prevalence of online behavior in adolescents in the southern regions of Siberia include a higher frequency of NPI and PPI in Caucasians compared to Mongoloids. The reported study was funded by RFBR according to the research project № 18-29-22032\18. CONFLICT OF INTEREST: The reported study was funded by RFBR according to the research project № 18-29-22032\18. Cambridge University Press 2021-08-13 /pmc/articles/PMC9471110/ http://dx.doi.org/10.1192/j.eurpsy.2021.1498 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Semenova, N. L, L. Evert Kostyuchenko, Y. Tereshchenko, S. Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
title | Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
title_full | Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
title_fullStr | Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
title_full_unstemmed | Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
title_short | Ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
title_sort | ethnic differences in the prevalence of online behaviors in adolescents in the southern regions of siberia |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471110/ http://dx.doi.org/10.1192/j.eurpsy.2021.1498 |
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