ArticleBMC psychiatry2023
Network structure of mobile phone addiction and anxiety symptoms among rural Chinese adolescents.
Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 22 citations in OpenAlex.
- Unveiling symptom-level pathways: a network analysis of fear of missing out and mobile phone addiction among Chinese college students.BMC psychology · 2026Article
- Mobile phone addiction among nursing interns and its related influencing factors: a cross-sectional network analysis.BMC nursing · 2026Article
- The mediating role of social avoidance between relative deprivation and smartphone addiction: a random intercept cross-lagged panel model study.BMC psychology · 2026Article
- Mobile Phone Addiction, Perceived Stress, and Morningness-Eveningness Preference in Nursing Students: A Computer-Simulated Network Analysis.Journal of nursing management · 2026Article
- Depressive symptoms precede and drive problematic smartphone use in Chinese medical students: a longitudinal network analysis.Frontiers in psychology · 2026Article
- Adolescent Smartphone Overdependence in South Korea: A Place-Stratified Evaluation of Conceptually Informed AI/ML Modeling.International journal of environmental research and public health · 2025Article
- Mobile phone dependency and subclinical depressive-anxiety symptom co-occurrence in college students: a cross-lagged panel network analysis.BMC public health · 2025Article
- Mapping the links between problematic smartphone use, exercise procrastination, and self-control: a network analysis.BMC psychology · 2025Article
- The association between bedtime smartphone use and anxiety symptoms: a network analysis of Chinese residents.BMC psychiatry · 2025Article
- The Effect of Self-Esteem on Mobile Phone Addiction Among College Students: Sequential Mediating Effects of Online Upward Social Comparison and Social Anxiety.Psychology research and behavior management · 2025Article
- New perspectives on mobile phone addiction based on network analysis.Frontiers in psychiatry · 2025Article
- Adverse childhood experiences and subsequent experiences of intimate partner violence in adulthood: a gender perspective.Epidemiology and psychiatric sciences · 2024Article
- Article
- Development and Validation of a Nomogram for Predicting Suicidal Ideation Among Rural Adolescents in China.Psychology research and behavior management · 2024Article
- A Network Structure of Mental Health and Problematic Mobile Phone Use Among Middle School Students.Psychology research and behavior management · 2024Article
- Age Differences in the Associations Between Interpersonal Relationships and Short-Form Video Addiction Symptoms: A Network Analysis.Psychology research and behavior management · 2024Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence of mobile phone addiction among adolescents in rural areas of China is increasing year by year, and has already exceeded that of some cities. And phone addiction increases the risk of anxiety and poor sleep. Therefore, this study used network analysis to investigate the relationship between mobile phone addiction and anxiety symptoms, and the predictability to sleep quality.
methodsFrom September 2021 to March 2022, a total of 1920 rural adolescents in Xuzhou, China were included. The survey included information on phone addiction, anxiety symptoms, and sleep quality. Network analysis was used to estimate the network structure of adolescents' mobile phone addiction and anxiety symptoms. LOWESS curve and linear regression were used to test the predictive ability of node-centrality on sleep quality.
resultsIn the network of mobile phone addiction-anxiety symptoms, the most influential symptoms were Failure to cut down the time, Anxiety if not used for some time, and Alleviate loneliness. Irritability was the most prominent bridging symptom. Gender difference had no effect on network structure. Nodes in the network are not predictive of sleep quality.
conclusionFailure to cut down the time is the most important symptom, suggesting that measures should be taken to reduce the amount of time spent on mobile phones. For example, increase outdoor exercise, increase the real company of friends and family, in order to reduce the occurrence of mobile phone addiction and anxiety.
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