ArticlePloS one2016
Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 226 citations in OpenAlex.
- Meta-Analysis of Internet Gaming Disorder Prevalence: Assessing the Impacts of DSM-5 and ICD-11 Diagnostic Criteria.International journal of environmental research and public health · 2024Pooled it
- Longitudinal modifiable risk and protective factors of internet gaming disorder: A systematic review and meta-analysis.Journal of behavioral addictions · 2023Pooled it
- Effects of exercise and psychological interventions on smartphone addiction among university students: A systematic review.Frontiers in psychology · 2022Pooled it
- Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure.International journal of environmental research and public health · 2018Pooled it
- Psychological Factors Applicable to App Development for Overcoming Problematic Smartphone Use: A Structural Equation Modeling Approach.Psychiatry investigation · 2026Article
- The Mediating Role of Self-Control and Shame Between Sensitivity to Punishment and Intimacy.Brain and behavior · 2026Article
- Investigation of phubbing behavior in attention deficit hyperactivity disorder and cognitive disengagement syndrome: a case-control study in adolescent.BMC psychiatry · 2026Article
- Future time perspective and cyberloafing in Chinese adolescents: the multiple mediating role of self-control and excessive smartphone use.BMC psychology · 2026Article
- Mobile Phone Craving in Spain: Associations with Impulsivity, Anxiety, Gaming Problem, and Gambling Severity.Behavioral sciences (Basel, Switzerland) · 2026Article
- Mobile phone dependency and subclinical depressive-anxiety symptom co-occurrence in college students: a cross-lagged panel network analysis.BMC public health · 2025Article
- Smartphone addiction and its association with accident risk in Iranian adults.Scientific reports · 2025Article
- Applying the Interaction of Person-Affect-Cognition-Execution Model to Addictive Behaviors in East Asian Countries: Feasibility and Considerations.Journal of the Korean Academy of Child and Adolescent Psychiatry · 2025Article
- The relationship between social support and smartphone addiction: the mediating role of negative emotions and self-control.BMC psychiatry · 2025Article
- App-Based Ecological Momentary Assessment of Problematic Smartphone Use During Examination Weeks in University Students: 6-Week Observational Study.Journal of medical Internet research · 2025Observational
- Associations between HEXACO personality traits, substance use disorders, and behavioral addictions: a protocol for a comprehensive systematic review and meta-analysis.Systematic reviews · 2025Article
- Women expert gamers: portrait of an understudied population.Frontiers in psychology · 2025Article
- Determining the relationship of food neophobia, digital addiction, body image perception on social media with dietary inflammatory index among adolescents.Frontiers in public health · 2025Article
- Exploring Gender Differences in Internet Addiction and Psychological Factors: A Study in a Spanish Sample.Brain sciences · 2024Article
- The associations among type D personality and nomophobia, metacognitions about smartphone use, smartphone addiction in Chinese university freshmen: a two-wave study.BMC psychiatry · 2024Article
- Understanding the relationships among adolescents' internet dependence, reward, cognitive control processing, and learning burnout: a network perspective in China.BMC psychiatry · 2024Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP). Participants were 2,573 men and 2,281 women (n = 4,854) aged 20-49 years (Mean ± SD: 33.47 ± 7.52); participants completed the following questionnaires: the Korean Smartphone Addiction Proneness Scale (K-SAPS) for adults, the Behavioral Inhibition System/Behavioral Activation System questionnaire (BIS/BAS), the Dickman Dysfunctional Impulsivity Instrument (DDII), and the Brief Self-Control Scale (BSCS). In addition, participants reported their demographic information and smartphone usage pattern (weekday or weekend average usage hours and main use). We analyzed the data in three steps: (1) identifying predictors with logistic regression, (2) deriving causal relationships between SAP and its predictors using a Bayesian belief network (BN), and (3) computing optimal cut-off points for the identified predictors using the Youden index. Identified predictors of SAP were as follows: gender (female), weekend average usage hours, and scores on BAS-Drive, BAS-Reward Responsiveness, DDII, and BSCS. Female gender and scores on BAS-Drive and BSCS directly increased SAP. BAS-Reward Responsiveness and DDII indirectly increased SAP. We found that SAP was defined with maximal sensitivity as follows: weekend average usage hours > 4.45, BAS-Drive > 10.0, BAS-Reward Responsiveness > 13.8, DDII > 4.5, and BSCS > 37.4. This study raises the possibility that personality factors contribute to SAP. And, we calculated cut-off points for key predictors. These findings may assist clinicians screening for SAP using cut-off points, and further the understanding of SA risk factors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.