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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...

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Autores principales: Huang, Shunsen, Lai, Xiaoxiong, Xue, Ye, Zhang, Cai, Wang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akadémiai Kiadó 2020
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.
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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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