ArticleFrontiers in public health2022
The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 24 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
- Network analysis and directed acyclic graph of smartphone addiction and multiple mental health factors in youths.BMC psychology · 2026Article
- Cognitive-affective network structure in adolescents with non-suicidal self-injury: implications for clinical intervention.Frontiers in psychiatry · 2026Article
- Food addiction in behavioral addictions: a network approach.Frontiers in psychology · 2026Article
- Network analysis of the relationships among activities of daily living disability, cognitive impairment, and depression in Chinese older adults.BMC public health · 2025Article
- New perspectives on mobile phone addiction based on network analysis.Frontiers in psychiatry · 2025Article
- Stress and Interpersonal Relationships in Medical Students During Public Health Emergencies: A Network Analysis.Advances in medical education and practice · 2025Article
- Interaction Among Smartphone Addiction, Behavioral Inhibition/Activation Systems and Mental Health Factors Among Chinese Undergraduate Student: A Study Using Network Analysis.Psychology research and behavior management · 2025Article
- Mental Health Concerns in Patients with COVID-19: A Network Analysis.Psychology research and behavior management · 2025Article
- Smartphone Application-Based Addiction Scale: Psychometric Evidence Across Nine Asian Regions Using Advanced Analytic Methods.Brain and behavior · 2024Article
- The Relationships Between Suicidal Ideation, Meaning in Life, and Affect: a Network Analysis.International journal of mental health and addiction · 2023Article
- Effect of Mobile Phone Addiction on Physical Exercise in University Students: Moderating Effect of Peer Relationships.International journal of environmental research and public health · 2023Article
- Network analysis of affect, emotion regulation, psychological capital, and resilience among Chinese males during the late stage of the COVID-19 pandemic.Frontiers in public health · 2023Article
- Network analysis of acute stress reaction in a sample of Chinese male military college students.Frontiers in psychiatry · 2023Article
- Effect of physical exercise on sleep quality in college students: Mediating role of smartphone use.PloS one · 2023Article
- The interplay of personality traits, anxiety, and depression in Chinese college students: a network analysis.Frontiers in public health · 2023Article
- Impulse control deficits among patients with nonsuicidal self-injury: a mediation analysis based on structural imaging.Journal of psychiatry & neuroscience : JPNArticle
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Behavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis. Methods: A regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively. Results: In addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 "motor impulsivity" was strongly associated with PSU2 "conflict" and PSU6 "relapse"; BASR "BAS-reward responsiveness" was strongly associated with PSU5 "withdrawal." Nodes BASR "BAS-reward responsiveness" and PSU6 "relapse" were the most central variables, while nodes BASR "BAS-reward responsiveness" and I2 "motor impulsivity" were the strongest bridge variables. Conclusion: The connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.
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