Understanding juveniles' problematic smartphone use and related influencing factors: A network perspective
Huang S, Lai X, Li Y, Luo Y, Wang Y
Journal of behavioral addictions · 37 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
- Government
- National Office for Philosophy and Social Sciences
- Government
- Major Program of the National Social Science Fund of China
- Grants
- National Office for Philosophy and Social Sciences (ZD153)
Based on 2 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2021-08-18 · J Behav Addict · vol. 10 · issue 3 · pp. 811–826
- Publisher
- Akadémiai Kiadó
- Cited
- 57 citations · more than 99% of similar papers · 12.7× the field average
- Impact
- Top 10% most cited in its field
- References
- 137 works
- Access
- Open access (journal) · CC-BY-NC
- Research areas
- Impact of Technology on Adolescents · Child Development and Digital Technology · Digital Mental Health Interventions
- Keywords
- smartphone addiction, adolescents, children, self-control, loss of control, parent-child relationship, peer attitudes, peer pressure, fear of missing out, family environment, school environment, influencing factors, network analysis
- MeSH
- humans, fear, interpersonal relations, adolescent, child, male, smartphone
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
- Yajun LiHenan University
- Yuhan LuoBeijing Normal University; State Key Laboratory of Cognitive Neuroscience and Learning
- Yun Wang · correspondingBeijing Normal University; State Key Laboratory of Cognitive Neuroscience and Learning
Abstract
Background and aims
To understand the interaction between problematic smartphone use (PSU) and related influencing factors (individual variables, family environment, and school environment) and to determine the most influential factors affecting the use of smartphones by juveniles to implement effective interventions in the future.
Methods
A total of 3,442 children and adolescents (3,248 actual participants (males = 1,638, average age = 12.27 ± 2.36)) were included in the study. This study measured juveniles' PSU and its influencing factors: individual variables (4 factors), family environments (13 factors), and school environments (5 factors). This study employed a network analysis approach for data assessment.
Results
This study found that there were several central influencing factors (such as self-control ability, loss of control, parent-child relationship, and peer attitudes towards smartphone use) and bridge factors (such as peer attitudes towards smartphone use, peer pressure for smartphone use, and fear of missing out).
Discussion and conclusions
Juveniles' PSU included several core symptoms and critical influencing factors. Intervention based on these factors may be effective, timely, and inexpensive.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC).
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