ArticleJournal of behavioral addictions2018
The validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents.
Article in Journal of behavioral addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of problematic smartphone use on children's and adolescents' quality of life: A systematic review.Acta paediatrica (Oslo, Norway : 1992) · 2021Pooled it
- An experimental examination of cognitive processes and response inhibition in patients seeking treatment for buying-shopping disorder.PloS one · 2019Trial
- Can implicit associations and approach-avoidance tendencies be observed in both problematic social network use and tobacco use disorder? Evidence from a laboratory study.Addictive behaviors reports · 2026Article
- Addiction spectrum disorder: a conceptual framework for comprehensive understanding of addictive disorders.Frontiers in psychology · 2026Article
- Facial Emotional Expression in Reaction to Internet Gaming Videos Among Young Adults: A Preliminary and Exploratory Study.Neuropsychopharmacology reports · 2025Article
- Explicit and implicit effects of gaming content on social media on the behavior of young adults.Frontiers in psychology · 2024Article
- How Mothers' Problematic Smartphone Use Affects Adolescents' Problematic Smartphone Use: Mediating Roles of Time Mothers Spend with Adolescents and Adolescents' Self-Esteem.Psychology research and behavior management · 2023Article
- The worst mistake 2.0? The digital revolution and the consequences of innovation.AI & society · 2022Article
- The Relationship between Children's School Adaptation, Academic Achievement, Happiness, and Problematic Smartphone Usage: A Multiple Informant Moderated Mediating Model.Applied research in quality of life · 2022Article
- Problematic smartphone use is associated with differences in static and dynamic brain functional connectivity in young adults.Frontiers in neuroscience · 2022Article
- Based on a Decision Tree Model for Exploring the Risk Factors of Smartphone Addiction Among Children and Adolescents in China During the COVID-19 Pandemic.Frontiers in psychiatry · 2021Article
- The Psychology of Addictive Smartphone Behavior in Young Adults: Problematic Use, Social Anxiety, and Depressive Stress.Frontiers in psychiatry · 2020Review
- Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates.Journal of behavioral addictions · 2018Article
- Maternal Depression and Children's Screen Overuse.Journal of Korean medical science · 2018Observational
- Role of Frontostriatal Connectivity in Adolescents With Excessive Smartphone Use.Frontiers in psychiatry · 2018Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Potential concerns are increasing that smartphone and Internet addictions may have deleterious effects on the mental health. Despite the recognition of the important role that implicit associations may have over explicit processes in addiction, such implicit associations have not been comprehensively investigated with respect to Internet addiction. Therefore, we modified the Implicit Association Test (IAT) for smartphone and Internet addictions and investigated its validity in children and adolescents. Methods In this experimental study, 78 at-risk children and adolescents ranging in age from 7 to 17 years completed an IAT modified with pictures captured from the most popular Internet games among youth. Furthermore, measures of Internet and smartphone addictions, mental health and problem behaviors, impulsive tendencies, self-esteem, daily stress, and quality of life were assessed simultaneously. Results Significant correlations were found between IAT D2SD scores and standardized scales for Internet (r = .28, p < .05) and smartphone (r = .33, p < .01) addictions. There were no significant correlations between IAT parameters and other scales measuring the constructs that are less relevant to the features of addiction, such as daily stress levels, impulsivity, and quality of life. Multiple regression analysis revealed that the IAT D2SD was independently and positively associated with smartphone addiction (p = .03) after controlling for other clinical correlates. Conclusions This study demonstrated good convergent and discriminant validity of this IAT as a novel measurement relating to Internet and smartphone addictions. Further longitudinal and prospective studies are needed to evaluate its potential utility in clinical and community settings.
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