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Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children
AIM: In this research, we attempted at exploring the relationships among urban left-behind children’s internet-addiction, personality traits and mental health. METHODS: In the form of three relevant questionnaires (Adolescent Pathological Internet Use Scale, Eysenck Personality Questionnaire, Childr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Canadian Center of Science and Education
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802149/ https://www.ncbi.nlm.nih.gov/pubmed/25946911 http://dx.doi.org/10.5539/gjhs.v7n4p60 |
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author | Ge, Ying Se, Jun Zhang, Jingfu |
author_facet | Ge, Ying Se, Jun Zhang, Jingfu |
author_sort | Ge, Ying |
collection | PubMed |
description | AIM: In this research, we attempted at exploring the relationships among urban left-behind children’s internet-addiction, personality traits and mental health. METHODS: In the form of three relevant questionnaires (Adolescent Pathological Internet Use Scale, Eysenck Personality Questionnaire, Children’s Edition in Chinese and Mental Health Test), 796 urban left-behind children in China were investigated, concerning internet-addiction, personality traits and mental health. RESULTS: (1) The internet-addiction rate of urban left-behind children in China reached10.8%—a relatively high figure, with the rate among males higher than that among females. In terms of internet-addition salience, the figure of urban left-behind children was obviously higher than that of non-left-behind children. (2) In China, the personality deviation rate of the overall left-behind children was 15.36%; while the personality deviation rate of the internet-addicted urban left-behind children was 38.88%, a figure prominently higher than that of the non-addicted urban left-behind children group, with the rate among females higher than that among males. (3) The mental health problem rate of the overall urban left-behind children in China was 8.43%; while the rate of the internet-addicted urban left-behind children was 27.77%, a figure significantly higher than that of the non-addicted urban left-behind children. (4) There were significant relationships among internet-addiction, personality traits and mental health. The total score of internet-addiction and its related dimensions can serve as indicators of personality neuroticism, psychoticism and the total scores of mental health. |
format | Online Article Text |
id | pubmed-4802149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Canadian Center of Science and Education |
record_format | MEDLINE/PubMed |
spelling | pubmed-48021492016-04-21 Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children Ge, Ying Se, Jun Zhang, Jingfu Glob J Health Sci Articles AIM: In this research, we attempted at exploring the relationships among urban left-behind children’s internet-addiction, personality traits and mental health. METHODS: In the form of three relevant questionnaires (Adolescent Pathological Internet Use Scale, Eysenck Personality Questionnaire, Children’s Edition in Chinese and Mental Health Test), 796 urban left-behind children in China were investigated, concerning internet-addiction, personality traits and mental health. RESULTS: (1) The internet-addiction rate of urban left-behind children in China reached10.8%—a relatively high figure, with the rate among males higher than that among females. In terms of internet-addition salience, the figure of urban left-behind children was obviously higher than that of non-left-behind children. (2) In China, the personality deviation rate of the overall left-behind children was 15.36%; while the personality deviation rate of the internet-addicted urban left-behind children was 38.88%, a figure prominently higher than that of the non-addicted urban left-behind children group, with the rate among females higher than that among males. (3) The mental health problem rate of the overall urban left-behind children in China was 8.43%; while the rate of the internet-addicted urban left-behind children was 27.77%, a figure significantly higher than that of the non-addicted urban left-behind children. (4) There were significant relationships among internet-addiction, personality traits and mental health. The total score of internet-addiction and its related dimensions can serve as indicators of personality neuroticism, psychoticism and the total scores of mental health. Canadian Center of Science and Education 2015-07 2014-12-16 /pmc/articles/PMC4802149/ /pubmed/25946911 http://dx.doi.org/10.5539/gjhs.v7n4p60 Text en Copyright: © Canadian Center of Science and Education http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Articles Ge, Ying Se, Jun Zhang, Jingfu Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children |
title | Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children |
title_full | Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children |
title_fullStr | Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children |
title_full_unstemmed | Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children |
title_short | Research on Relationship Among Internet-Addiction, Personality Traits and Mental Health of Urban Left-Behind Children |
title_sort | research on relationship among internet-addiction, personality traits and mental health of urban left-behind children |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802149/ https://www.ncbi.nlm.nih.gov/pubmed/25946911 http://dx.doi.org/10.5539/gjhs.v7n4p60 |
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