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A network analysis of problematic smartphone use symptoms in a student sample
BACKGROUND AND AIMS: Previous research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students. METHODS: This...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969737/ https://www.ncbi.nlm.nih.gov/pubmed/33372911 http://dx.doi.org/10.1556/2006.2020.00098 |
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author | Huang, Shunsen Lai, Xiaoxiong Xue, Ye Zhang, Cai Wang, Yun |
author_facet | Huang, Shunsen Lai, Xiaoxiong Xue, Ye Zhang, Cai Wang, Yun |
author_sort | Huang, Shunsen |
collection | PubMed |
description | BACKGROUND AND AIMS: Previous research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students. METHODS: This research investigated 26,950 grade 4 students (male = 13,271) and 11,687 grade 8 students (male = 5,739) using the smartphone addiction proneness scale (SAPS). The collected data were analyzed using a network analysis method, which can provide centrality indexes to determine the core symptoms of PSU. The two networks from the different groups were compared using a permutation test. RESULTS: The results indicated that the core symptoms of students' problematic smartphone use were the loss of control and continued excessive use across the two samples. DISCUSSION AND CONCLUSIONS: These findings suggest that loss of control is a key feature of problematic smartphone use. The results also provide some evidence relevant to previous research from the perspective of network analysis and some suggestions for future treatment or prevention of students' problematic smartphone use. |
format | Online Article Text |
id | pubmed-8969737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-89697372022-04-11 A network analysis of problematic smartphone use symptoms in a student sample Huang, Shunsen Lai, Xiaoxiong Xue, Ye Zhang, Cai Wang, Yun J Behav Addict Full-Length Report BACKGROUND AND AIMS: Previous research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students. METHODS: This research investigated 26,950 grade 4 students (male = 13,271) and 11,687 grade 8 students (male = 5,739) using the smartphone addiction proneness scale (SAPS). The collected data were analyzed using a network analysis method, which can provide centrality indexes to determine the core symptoms of PSU. The two networks from the different groups were compared using a permutation test. RESULTS: The results indicated that the core symptoms of students' problematic smartphone use were the loss of control and continued excessive use across the two samples. DISCUSSION AND CONCLUSIONS: These findings suggest that loss of control is a key feature of problematic smartphone use. The results also provide some evidence relevant to previous research from the perspective of network analysis and some suggestions for future treatment or prevention of students' problematic smartphone use. Akadémiai Kiadó 2020-12-24 /pmc/articles/PMC8969737/ /pubmed/33372911 http://dx.doi.org/10.1556/2006.2020.00098 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/Open Access. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated. |
spellingShingle | Full-Length Report Huang, Shunsen Lai, Xiaoxiong Xue, Ye Zhang, Cai Wang, Yun A network analysis of problematic smartphone use symptoms in a student sample |
title | A network analysis of problematic smartphone use symptoms in a student sample |
title_full | A network analysis of problematic smartphone use symptoms in a student sample |
title_fullStr | A network analysis of problematic smartphone use symptoms in a student sample |
title_full_unstemmed | A network analysis of problematic smartphone use symptoms in a student sample |
title_short | A network analysis of problematic smartphone use symptoms in a student sample |
title_sort | network analysis of problematic smartphone use symptoms in a student sample |
topic | Full-Length Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969737/ https://www.ncbi.nlm.nih.gov/pubmed/33372911 http://dx.doi.org/10.1556/2006.2020.00098 |
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