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Effects of smartphone addiction on sleep quality among Chinese university students: The mediating role of self-regulation and bedtime procrastination
Abstract
The steep rise of smartphone use has raised public concerns about smartphone addiction and its associated negative health consequences, such as poor sleep quality; however, limited research has examined the psychological mechanisms underlying these associations. The current study tested the effects of smartphone addiction on poor sleep quality, through self-regulation and bedtime procrastination, among 427 Chinese undergraduate students, aged 18 or older (M = 19.36; female = 66%), who voluntarily completed an anonymous online questionnaire. The results showed that 1/3 of participants reported poor subjective sleep quality. Smartphone addiction and bedtime procrastination had a significant positive relationship, whereas self-regulation had a significant negative association, with poor sleep quality (which was assessed by sleep latency, sleep duration, and subjective sleep quality). Despite its nonsignificant direct effects, the indirect effects of smartphone addiction, via both self-regulation and bedtime procrastination, on the three indicators of poor sleep quality were statistically significant. The findings have supported the premise that both bedtime procrastination and poor self-regulation are risk-enhancing mediators on the association between smartphone addiction on poor sleep quality. Therefore, they should be considered in intervention programs (e.g., self-regulation skill training) to reduce smartphone addiction and improve sleep quality and physical wellbeing among…
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“los autores encontraron que tanto la procrastinación a la hora de dormir y la mala autorregulación son mediadores que aumentan el riesgo en la asociación entre la adicción a los teléfonos inteligentes y la mala calidad del sueño.”
From Uso de redes sociales y procrastinación en estudiantes universitarios: una revisión sistemática (2023) · cites this paper as Zhang y Wu (2020)
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Metadata
- Authors
- Zhang, M. X., & Wu, A. M. S.
- Affiliations
- University of Macau (MO)
- Corresponding author
- Wu, Anise M.S.
- Venue
- Addictive Behaviors
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 111
- Pages
- 106552
- ISSN
- 0306-4603 (ISSN-L)
- OpenAlex
- W3042732665
- Cited by
- 265
- References
- 67
- Citations by year
- 2026: 35 · 2025: 39 · 2024: 52 · 2023: 47 · 2022: 60 · 2021: 29 · 2020: 2
- FWCI
- 33.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Addictive Behaviors (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Universidade de Macau
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Workaholism, burnout, and well-being
- Keywords
- smartphone addiction, sleep quality, self-regulation, bedtime procrastination, university students, sleep latency, sleep duration, subjective sleep quality, mediation, Chinese university students
- MeSH terms
- Self-Control, Smartphone, Procrastination, Internet Addiction Disorder, Adolescent, China, Female, Humans, Sleep, Students, Universities
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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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