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An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing
Open accessAbstract
Over the past decade, there have been an increasing number of studies that have investigated problematic and/or ‘addictive’ smartphone use. The present study explored the prevalence and correlates of problematic smartphone use (PSU) among Chinese university students. Few studies have investigated relationships between PSU and factors such as academic anxiety, academic procrastination, self-regulation, and subjective wellbeing. The present study proposed and tested a hypothetical model of relationships between PSU and these factors. A total of 475 Chinese university students completed a paper-based survey during class breaks. The survey comprised a battery of psychometric scales translated into Chinese translations examining the study variables (i.e., academic anxiety, academic procrastination, self-regulation, life satisfaction, and PSU). Path analysis was applied to test the hypothetical model. A good model fit was found (CFI = 1.00, RMSEA = 0.008), in which PSU predicted academic procrastination ( β = 0.21, p < 0.001) and academic anxiety ( β = 0.18, p < 0.01). Also, self-regulation predicted PSU ( β = − 0.35, p < 0.001), academic anxiety ( β = − 0.29, p < 0.001), academic procrastination ( β = 0.23, p < 0.001) and life satisfaction ( β = 0.23, p < 0.001). PSU mediated the relationships between self-regulation, and both academic anxiety and academic procrastination. The present study enhances our understanding of the role of problematic smartphone use in relation to academic behaviour, mental health and wellbeing of college students.
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“Nuestra investigación coincide con los datos de otras investigaciones que vinculan el uso conflictivo de las redes sociales con un menor rendimiento académico (Dontre, 2021; Lv & Wang, 2023; Yang et al., 2019).”
From Phubbing y redes sociales: Análisis de una muestra de universitarios del Perú: El phubbing (2025) · cites this paper as Yang et al., 2019
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Metadata
- Authors
- Yang, Z., Asbury, K., & Griffiths, M. D.
- Affiliations
- University of York (GB)
- Nottingham Trent University (GB)
- Corresponding author
- Yang, Zeyang
- Venue
- International Journal of Mental Health and Addiction
- Published
- 2018-07-09
- Volume
- 17
- Issue
- 3
- Pages
- 596-614
- ISSN
- 1557-1874 (ISSN-L)
- 1557-1882
- OpenAlex
- W2874553049
- Cited by
- 241
- References
- 79
- Citations by year
- 2026: 18 · 2025: 34 · 2024: 31 · 2023: 46 · 2022: 43 · 2021: 40 · 2020: 20 · 2019: 8 · 2018: 1
- FWCI
- 39.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Mental Health and Addiction (publishedVersion, cc-by)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion, cc-by)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Funders
- University of York
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Perfectionism, Procrastination, Anxiety Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Keywords
- smartphone addiction, academic anxiety, academic procrastination, self-regulation, subjective well-being, life satisfaction, university students, Chinese students, academic behavior, mental health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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