ArticleFrontiers in psychiatry2022
Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Unveiling symptom-level pathways: a network analysis of fear of missing out and mobile phone addiction among Chinese college students.BMC psychology · 2026Article
- Statistical evidence in psychological networks.Nature human behaviour · 2026Article
- Social media addiction in five major mental disorders: a cross-sectional comparative study.BMC psychiatry · 2026Article
- Salience and tolerance are not indicators of problematic social media use: Evidence from the Social Media Disorder Scale and the Bergen Social Media Addiction Scale.Journal of behavioral addictions · 2025Article
- Psychopathological Correlates of Dysfunctional Smartphone and Social Media Use: The Role of Personality Disorders in Technological Addiction and Digital Life Balance.European journal of investigation in health, psychology and education · 2025Article
- A model to understand risk behavior: Interoception awareness and motivational systems in the binge watching.Heliyon · 2025Article
- Article
- The role of impulsivity and emotional dysregulation in smartphone overdependence explored through network analysis.Scientific reports · 2025Article
- A Network Analysis of Emotional Intelligence in Chinese Preschool Teachers.Behavioral sciences (Basel, Switzerland) · 2024Article
- Smartphone Application-Based Addiction Scale: Psychometric Evidence Across Nine Asian Regions Using Advanced Analytic Methods.Brain and behavior · 2024Article
- Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students.International journal of environmental research and public health · 2024Article
- Age Differences in the Associations Between Interpersonal Relationships and Short-Form Video Addiction Symptoms: A Network Analysis.Psychology research and behavior management · 2024Article
- Psychosomatic health status and corresponding comorbid network analysis of college students in traditional Chinese medicine schools.Frontiers in psychiatry · 2024Article
- An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis.BMC psychiatry · 2023Article
- The Relationships Between Suicidal Ideation, Meaning in Life, and Affect: a Network Analysis.International journal of mental health and addiction · 2023Article
- Long-term effects of repeated multitarget high-definition transcranial direct current stimulation combined with cognitive training on response inhibition gains.Frontiers in neuroscience · 2023Article
- Network analysis of acute stress reaction in a sample of Chinese male military college students.Frontiers in psychiatry · 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
- The interplay of personality traits, anxiety, and depression in Chinese college students: a network analysis.Frontiers in public health · 2023Article
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7 authors.
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Abstract
Background: Prior studies have revealed the relationships between impulsivity and social media addiction (SMA) and between impulsivity and problematic smartphone use (PSU) based on total scores on standardized self-report scales. However, there has been a lack of studies exploring how the dimensions of impulsivity and components of SMA or PSU are interrelated. The present study aimed to investigate the structural relationships between the dimensions of impulsivity and components of SMA and PSU and determine the critical bridge node using network analysis. Methods: A total of 325 healthy adults aged 18-36 years participated in the study. SMA and PSU were assessed using the Bergen Social Media Addiction Scale (BSMAS) and Smartphone Application-Based Addiction Scale (SABAS), respectively. Impulsivity was measured by the Barratt Impulsiveness Scale Version 11 (BIS-11). Network analysis was used to construct an SMA-Impulsivity network and a PSU-Impulsivity network. Bridge centrality (bridge expected influence, BEI) was estimated to identify influential bridge nodes. Results: In addition to relationships within each community, network analysis revealed that the dimensions of impulsivity were closely associated with the components of SMA and PSU. Particularly, I2 "motor impulsivity" had a relatively strong connection with SMA3 "mood modification" and SMA4 "relapse" in the SMA-Impulsivity network, and with PSU2 "conflict" and PSU5 "withdrawal" in the PSU-Impulsivity network. Moreover, I2 "motor impulsivity" was identified as the most critical bridge node in both networks. Conclusion: These findings demonstrate potential pathways between different dimensions of impulsivity and the components of SMA and PSU, providing new evidence relevant to understanding the underlying mechanisms that account for how highly impulsive individuals develop SMA and PSU, and highlight the critical bridge node-motor impulsivity-that may be a promising and effective target for the prevention and treatment of SMA and PSU.
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