A network analysis of problematic smartphone use symptoms in a student sample
Huang S, Lai X, Xue Y, Zhang C, Wang Y
Journal of behavioral addictions · 51 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- University or hospital
- Beijing Normal University
- University or hospital
- Tsinghua University
- University or hospital
- State Key Laboratory of Cognitive Neuroscience and Learning
- Government
- Fundamental Research Funds for the Central Universities
- University or hospital
- Central Universities
- Grants
- Fundamental Research Funds for the Central Universities (ZYGX2015J167)
Based on 5 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2021-01-15 · J Behav Addict · vol. 9 · issue 4 · pp. 1032–1043
- Publisher
- Akadémiai Kiadó
- Cited
- 96 citations · more than 99% of similar papers · 19.7× the field average
- Impact
- Top 10% most cited in its field
- References
- 80 works
- Access
- Open access (journal) · CC-BY-NC
- Research areas
- Impact of Technology on Adolescents · Mental Health Research Topics · Digital Mental Health Interventions
- Keywords
- smartphone addiction, core symptoms, loss of control, smartphone overuse, adolescents, students, symptom structure, addiction proneness, prevention
- MeSH
- humans, risk factors, behavior, addictive, students, male, smartphone, internet addiction disorder
5 authors
From CN
- Shunsen HuangBeijing Normal University; State Key Laboratory of Cognitive Neuroscience and Learning
- Xiaoxiong LaiBeijing Normal University; State Key Laboratory of Cognitive Neuroscience and Learning
- Ye XueBeijing Normal University; State Key Laboratory of Cognitive Neuroscience and Learning
- Cai ZhangBeijing Normal University
- Yun Wang · correspondingBeijing Normal University; State Key Laboratory of Cognitive Neuroscience and Learning
Abstract
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.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC).
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