ArticlePloS one2022
Duration, frequency, and time distortion: Which is the best predictor of problematic smartphone use in adolescents? A trace data study.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Adolescents' Perspectives on Self-Regulation and Need for Change in Digital Media Use: A Focus Group Study.Journal of adolescence · 2026Article
- The Relationship Between Problematic Smartphone Use and Time Distortion: The Serial Mediating Effects of Loneliness and Fear of Missing Out.The Psychiatric quarterly · 2026Article
- Heterogeneous Associations Between Objectively Measured Screen Time and Sleep in Early Adolescence.Technology, mind, and behavior · 2026Article
- Escape into Social Media? A 4-Week Tracking Study on Nomophobia and Smartphone Coping.Healthcare (Basel, Switzerland) · 2026Article
- Problematic mobile phone and social media use among adolescents and its relationship with cyberbullying, cybervictimisation and social anxiety.Scientific reports · 2026Article
- University students' acceptance of generative artificial intelligence tools: a mixed-methods study on opinions, attitudes, and behavioral intentions.BMC psychology · 2026Article
- Does learning burnout link physical exercise and problematic short-video use? Evidence from a three-wave random-intercept cross-lagged panel model and supplementary machine-learning analysis among Chinese high school students.Frontiers in psychology · 2026Article
- Differential Effects of Short- and Long-Term Negative Affect on Smartphone Usage: The Moderating Role of Locus of Control.Behavioral sciences (Basel, Switzerland) · 2025Article
- Article
- Appnome analysis reveals small or no associations between social media app-specific usage and adolescent well-being.Scientific reports · 2024Article
- Lack of Parental Control Is Longitudinally Associated With Higher Smartphone Addiction Tendency in Young Children: A Population-Based Cohort Study.Journal of Korean medical science · 2024Article
- Association between smartphone overdependence and mental health in South Korean adolescents: a secondary data analysis.Child health nursing research · 2024Article
- Technostress and time spent online. A cross-cultural comparison for teachers and students.Frontiers in psychology · 2024Article
- Problematic Smartphone Use and Its Relationship With Anxiety and Suicidal Ideation Among South Korean Adolescents.Psychiatry investigation · 2023Article
- Time Spent on Mobile Apps Matters: A Latent Class Analysis of Patterns of Smartphone Use among Adolescents.International journal of environmental research and public health · 2023Article
- The impact of screen time and green time on mental health in children and adolescents during the COVID-19 pandemic.Computers in human behavior reports · 2022Article
- Dynamics of adolescents' smartphone use and well-being are positive but ephemeral.Scientific reports · 2022Article
- Article
- Article
- Testing the validity of the smartphone pervasiveness scale for adolescents with self-reported objective smartphone use data.Digital healthArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Problematic smartphone use (PSU) during adolescence has been associated with negative short- and long-term consequences for personal well-being and development. Valid and reliable predictors and indicators of PSU are urgently needed, and digital trace data can add valuable information beyond self-report data. The present study aimed to investigate whether trace data (duration and frequency of smartphone use), recorded via an app installed on participants' smartphone, are correlated with self-report data on smartphone use. Additionally, the present study aimed to explore which usage indicators, i.e., duration, frequency, and time distortion of smartphone use, better predict PSU levels cross-sectionally and longitudinally, one year later. Results from a sample of 84 adolescents showed that adolescents tend to rely on the frequency of smartphone use when reporting on the time they spent with the smartphone. Traced duration of smartphone use as well as time distortion, i.e., over-estimation, are significant predictors of PSU. Methodological issues and theoretical implications related to predictors and indicators of PSU are discussed.
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