The DOI matches its Crossref record; 66 of the 67 references it cites were found in a registry or an index.
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…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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)
Citations
Cites
(2013) · Cited by 44,563
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Qu, X. (2007) · Technometrics · doi:10.1198/tech.2007.s455 · Cited by 14,759
National Sleep Foundation's sleep time duration recommendations: methodology and results summary.
Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., DonCarlos, L., Hazen, N., Herman, J., Katz, E. S., Kheirandish-Gozal, L., et al. (2015) · Sleep Health · doi:10.1016/j.sleh.2014.12.010 · Cited by 4,404
Steel, P. (2007) · Psychological bulletin · doi:10.1037/0033-2909.133.1.65 · Cited by 3,417
Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications
Goldstein, R. Z., & Volkow, N. D. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3119 · Cited by 2,749
Neurobiologic advances from the brain disease model of addiction
Volkow, N. D., Koob, G. F., & McLellan, A. T. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1511480 · Cited by 2,008
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.030 · Cited by 1,689
Demirci, K., Akgönül, M., & Akpinar, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.010 · Cited by 1,529
Electronic media use and sleep in school-aged children and adolescents: A review
Cain, N., & Gradisar, M. (2010) · Sleep Medicine · doi:10.1016/j.sleep.2010.02.006 · Cited by 1,376
Thomée, S., Härenstam, A., & Hagberg, M. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-66 · Cited by 1,269
Cognitive neuroscience of self-regulation failure
Heatherton, T. F., & Wagner, D. D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.005 · Cited by 1,033
Modeling habitual and addictive smartphone behavior
van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.039 · Cited by 1,031
Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2350-x · Cited by 838
Bian, M., & Leung, L. (2015) · Social Science Computer Review · doi:10.1177/0894439314528779 · Cited by 669
Development and validation of the Smartphone Addiction Inventory (SPAI)
Lin, Y.-H., Chang, L.-R., Lee, Y.-H., Tseng, H.-W., Kuo, T. B. J., & Chen, S.-H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098312 · Cited by 611
The role of impulsivity in actual and problematic use of the mobile phone
Billieux, J., Van der Linden, M., & Rochat, L. (2008) · Applied Cognitive Psychology · doi:10.1002/acp.1429 · Cited by 604
Addiction circuitry in the human brain
Volkow, N. D., Wang, G.-J., Fowler, J. S., & Tomasi, D. (2012) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010611-134625 · Cited by 592
A neurocognitive approach to understanding the neurobiology of addiction
Noël, X., Brevers, D., & Bechara, A. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.018 · Cited by 466
Bedtime procrastination: introducing a new area of procrastination
Kroese, F. M., De Ridder, D. T. D., Evers, C., & Adriaanse, M. A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00611 · Cited by 404
Long, J., Liu, T.-Q., Liao, Y.-H., Qi, C., He, H.-Y., Chen, S.-B., & Billieux, J. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1083-3 · Cited by 384
Hawi, N. S., & Samaha, M. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.007 · Cited by 360
A psychometric analysis of the self-regulation questionnaire
Carey, K. B., Neal, D. J., & Collins, S. E. (2004) · Addictive Behaviors · doi:10.1016/j.addbeh.2003.08.001 · Cited by 357
Chen, L., Yan, Z., Tang, W., Yang, F., Xie, X., & He, J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.10.030 · Cited by 334
Huber, R., Treyer, V., Borbély, A. A., Schuderer, J., Gottselig, J. M., Landolt, H., Werth, E., Berthold, T., Kuster, N., Buck, A., et al. (2002) · Journal of Sleep Research · doi:10.1046/j.1365-2869.2002.00314.x · Cited by 333
(1998) · Springer eBooks · doi:10.1007/978-1-4899-1934-2 · Cited by 311
Proposed Diagnostic Criteria for Smartphone Addiction
Lin, Y.-H., Chiang, C.-L., Lin, P.-H., Chang, L.-R., Ko, C.-H., Lee, Y.-H., & Lin, S.-H. (2016) · PLOS ONE · doi:10.1371/journal.pone.0163010 · Cited by 303
Dong, G., Lu, Q., Zhou, H., & Zhao, X. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.09.002 · Cited by 296
Ding, W.-N., Sun, J.-H., Sun, Y.-W., Chen, X., Zhou, Y., Zhuang, Z.-G., Li, L., Zhang, Y., Xu, J.-R., & Du, Y.-S. (2014) · Behavioral and Brain Functions · doi:10.1186/1744-9081-10-20 · Cited by 294
CHEUNG, L. M., & Wong, W. S. (2010) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2010.00883.x · Cited by 284
Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model
Liu, Q.-Q., Zhou, Z.-K., Yang, X.-J., Kong, F.-C., Niu, G.-F., & Fan, C.-Y. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.042 · Cited by 278
Kroese, F. M., Evers, C., Adriaanse, M. A., & de Ridder, D. T. D. (2014) · Journal of Health Psychology · doi:10.1177/1359105314540014 · Cited by 277
Smartphone usage and increased risk of mobile phone addiction: A concurrent study
Parasuraman, S., Sam, A., Yee, S. K., Chuon, B. C., & Ren, L. (2017) · International Journal of Pharmaceutical Investigation · doi:10.4103/jphi.jphi_56_17 · Cited by 260
Yang, Z., Asbury, K., & Griffiths, M. D. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-018-9961-1 · Cited by 241
Kim, E., & Koh, E. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.02.037 · Cited by 230
A Follow-Up Psychometric Analysis of the Self-Regulation Questionnaire.
Neal, D. J., & Carey, K. B. (2005) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.19.4.414 · Cited by 229
Xie, Y.-F., Szeto, G., Dai, J., & Madeleine, P. (2016) · Ergonomics · doi:10.1080/00140139.2015.1056237 · Cited by 223
Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?
Yu, S., & Sussman, S. Y. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17020422 · Cited by 210
Addiction and the Brain: Development, Not Disease
Lewis, M. D. (2017) · Neuroethics · doi:10.1007/s12152-016-9293-4 · Cited by 202
Stages of dysfunctional decision-making in addiction
Verdejo‐García, A., Chong, T. T. ‐., Stout, J. C., Yücel, M., & London, E. D. (2017) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.02.003 · Cited by 198
Rozgonjuk, D., Kattago, M., & Täht, K. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.003 · Cited by 176
The effect of electromagnetic fields emitted by mobile phones on human sleep
Loughran, S., Wood, A., Barton, J. M., Croft, R. J., Thompson, B., & Stough, C. K. K. (2005) · Neuroreport · doi:10.1097/01.wnr.0000186593.79705.3c · Cited by 169
Chen, J., Liang, Y., Mai, C., Zhong, X., & Qu, C. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00511 · Cited by 164
de Ruiter, M. B., Oosterlaan, J., Veltman, D. J., van den Brink, W., & Goudriaan, A. E. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.08.010 · Cited by 160
Internet addiction and procrastination among Chinese young adults: A moderated mediation model
Geng, J., Han, L., Gao, F., Jou, M., & Huang, C.-C. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.013 · Cited by 160
Lam, L. (2014) · Current Psychiatry Reports · doi:10.1007/s11920-014-0508-2 · Cited by 152
Self-Regulation and the Addictive Behaviors
Brown, J. M. (1998) · Springer eBooks · doi:10.1007/978-1-4899-1934-2_5 · Cited by 143
Prevalence of smart phone addiction, sleep quality and associated behaviour problems in adolescents
Soni, R., Upadhyay, R., & Jain, M. (2017) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20170142 · Cited by 137
Sleep quality as a mediator of problematic smartphone use and clinical health symptoms
Xie, X., Dong, Y. H., & Wang, J. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.40 · Cited by 136
Hinsch, C., & Sheldon, K. M. (2013) · Journal of Consumer Behaviour · doi:10.1002/cb.1453 · Cited by 135
Tao, S., Wu, X., Zhang, Y., Zhang, S., Tong, S., & Tao, F. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14020185 · Cited by 125
Using Mental Imagery to Deliver Self-Regulation Techniques to Improve Sleep Behaviors
Loft, M., & Cameron, L. D. (2013) · Annals of Behavioral Medicine · doi:10.1007/s12160-013-9503-9 · Cited by 123
Smartphone addiction risk and daytime sleepiness in Korean adolescents
Chung, J. E., Choi, S. A., Kim, K. T., Yee, J., Kim, J. H., Seong, J. W., Seong, J. M., Kim, J. Y., Lee, K. E., & Gwak, H. S. (2018) · Journal of Paediatrics and Child Health · doi:10.1111/jpc.13901 · Cited by 99
Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF)
Lin, Y., Pan, Y., Lin, S., & Chen, S. (2016) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1525 · Cited by 97
Cell phone addiction and psychological and physiological health in adolescents
Shoukat, S. (2019) · EXCLI journal · doi:10.17179/excli2018-2006 · Cited by 95
Exelmans, L., & Van den Bulck, J. (2021) · Communication Research · doi:10.1177/0093650216686877 · Cited by 88
Grant, J. E., & Chamberlain, S. R. (2013) · American Journal on Addictions · doi:10.1111/ajad.12112 · Cited by 78
Kwan, H. C., & Leung, M. T. (2017) · IAFOR Journal of Psychology & the Behavioral Sciences · doi:10.22492/ijpbs.3.1.06 · Cited by 77
Longitudinal associations between self-regulation and health across childhood and adolescence.
Bub, K. L., Robinson, L. E., & Curtis, D. S. (2016) · Health Psychology · doi:10.1037/hea0000401 · Cited by 73
How is problematic smartphone use related to adolescent depression? A moderated mediation analysis
Wang, P., Liu, S., Zhao, M., Yang, X., Zhang, G., Chu, X., Wang, X., Zeng, P., & Lei, L. (2019) · Children and Youth Services Review · doi:10.1016/j.childyouth.2019.104384 · Cited by 69
Gao, L., Zhang, J., Xie, H., Nie, Y., Zhao, Q., & Zhou, Z. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106363 · Cited by 69
Peltz, J. S., Rogge, R. D., & O’Connor, T. G. (2018) · Journal of Family Psychology · doi:10.1037/fam0000491 · Cited by 48
The role of self-regulation in predicting sleep hygiene in university students
Todd, J., & Mullan, B. A. (2012) · Psychology Health & Medicine · doi:10.1080/13548506.2012.701756 · Cited by 47
The Influence of Mobile Phone Addiction on Procrastination: A Moderated Mediating Model
Liu, L. Q., Min, G., Yue, S. T., & Cheng, L. S. (2018) · Journal of Ergonomics · doi:10.4172/2165-7556.1000232 · Cited by 15
Wang, Y., & Zhang, Y. (2015) · Zhongguo xinli weisheng zazhi · Cited by 11
Research works printed but not linked: 1
- Heatherton, 2011, Cognitive neuroscience of self-regulation failure, Trends in Cognitive Sciences, 15, 132, 10.1016/j.tics.2010.12.005 · DOI · Paper page
Cited by
Sorted by citations
Li, Y., Li, G., Liu, L., & Wu, H. L. (2020) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00057 · Cited by 352
Smartphone Addiction and Associated Health Outcomes in Adult Populations: A Systematic Review
Ratan, Z. A., Parrish, A., Zaman, S. B., Alotaibi, M. S., & Hosseinzadeh, H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182212257 · Cited by 338
Smartphone addiction and depression, anxiety: The role of bedtime procrastination and self-control
Geng, Y., Gu, J., Wang, J., & Zhang, R. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.06.062 · Cited by 309
Cui, G., Yin, Y., Li, S., Chen, L., Liu, X., Tang, K., & Li, Y. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03451-4 · Cited by 171
Alotaibi, M., Fox, M., Coman, R., Ratan, Z., & Hosseinzadeh, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063710 · Cited by 144
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
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 ›
Are you an author, or do you see a problem with this page? Request a review