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HEXACO as predictors of smartphone addiction in a college setting
There are many factors that can associate with smartphone addiction, and personality traits are included. With the popularity of mobile phones, smartphone addiction has become increasingly common. To differentiate the association between various personality traits and smartphone addiction, a survey...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558886/ https://www.ncbi.nlm.nih.gov/pubmed/37809552 http://dx.doi.org/10.1016/j.heliyon.2023.e19617 |
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author | Zhao, Longlong |
author_facet | Zhao, Longlong |
author_sort | Zhao, Longlong |
collection | PubMed |
description | There are many factors that can associate with smartphone addiction, and personality traits are included. With the popularity of mobile phones, smartphone addiction has become increasingly common. To differentiate the association between various personality traits and smartphone addiction, a survey was conducted in northern China (mainland). With the help of bivariate analysis and regression analysis, three conclusions could be drawn. To begin with, there is a negative association between Honesty-Humility (H–H)/Agreeableness (A)/Conscientiousness (C)/Openness to experience (O) and smartphone addiction, whereas there is a positive association between Emotionality (E)/eXtraversion (X) and smartphone addiction. Secondly, Emotionality, Agreeableness, Conscientiousness and Openness to experience could explain a 27.14% variance in smartphone addiction. Thirdly, Emotionality, eXtraversion and Agreeableness more significantly predict smartphone addiction than the other three personality traits. |
format | Online Article Text |
id | pubmed-10558886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105588862023-10-08 HEXACO as predictors of smartphone addiction in a college setting Zhao, Longlong Heliyon Research Article There are many factors that can associate with smartphone addiction, and personality traits are included. With the popularity of mobile phones, smartphone addiction has become increasingly common. To differentiate the association between various personality traits and smartphone addiction, a survey was conducted in northern China (mainland). With the help of bivariate analysis and regression analysis, three conclusions could be drawn. To begin with, there is a negative association between Honesty-Humility (H–H)/Agreeableness (A)/Conscientiousness (C)/Openness to experience (O) and smartphone addiction, whereas there is a positive association between Emotionality (E)/eXtraversion (X) and smartphone addiction. Secondly, Emotionality, Agreeableness, Conscientiousness and Openness to experience could explain a 27.14% variance in smartphone addiction. Thirdly, Emotionality, eXtraversion and Agreeableness more significantly predict smartphone addiction than the other three personality traits. Elsevier 2023-08-30 /pmc/articles/PMC10558886/ /pubmed/37809552 http://dx.doi.org/10.1016/j.heliyon.2023.e19617 Text en © 2023 The Author https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Zhao, Longlong HEXACO as predictors of smartphone addiction in a college setting |
title | HEXACO as predictors of smartphone addiction in a college setting |
title_full | HEXACO as predictors of smartphone addiction in a college setting |
title_fullStr | HEXACO as predictors of smartphone addiction in a college setting |
title_full_unstemmed | HEXACO as predictors of smartphone addiction in a college setting |
title_short | HEXACO as predictors of smartphone addiction in a college setting |
title_sort | hexaco as predictors of smartphone addiction in a college setting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558886/ https://www.ncbi.nlm.nih.gov/pubmed/37809552 http://dx.doi.org/10.1016/j.heliyon.2023.e19617 |
work_keys_str_mv | AT zhaolonglong hexacoaspredictorsofsmartphoneaddictioninacollegesetting |