Abstract
The present study investigated the indirect effects of active procrastination and mobile phone addiction on the relationship between academic workload and bedtime procrastination. A total of 474 Chinese undergraduates were recruited to complete assessments on academic workload, active procrastination, mobile phone addiction, and bedtime procrastination. The results revealed that academic workload not only directly impacts bedtime procrastination but also has an indirect influence through the mediating factors of active procrastination and mobile phone addiction. The sheer volume of work crowds out students’ time, destroying the procrastinator’s time structure centered around leisure and diminishing the enjoyment of tasks. Additionally, the stress of work also makes it easier for students to become addicted to mobile phones, leading them to use their sleep time to compensate for the time lost due to their workload. These findings shed light on the interaction between mobile phone addiction and the daily lives of college undergraduates, as well as how they mutually influence each other. The study underscores the importance of schools in alleviating the academic burden placed on students.
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References
Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency*. Criminology, 30(1), 47–88. https://doi.org/10.1111/j.1745-9125.1992.tb01093.x
An, H., Chung, S., & Suh, A. (2019). Validation of the Korean bedtime procrastination scale in young adults. Journal of Sleep Medicine, 16, 41–47. https://doi.org/10.13078/jsm.19030
Bai, H., Li, X., Wang, X., Tong, W., Li, Y., & Hu, W. (2023). Active procrastination incubates more creative thinking: The sequential mediating effect of personal mastery and creative self-concept. Creativity Research Journal, 1–13. https://doi.org/10.1080/10400419.2023.2171721
Bernecker, K., & Job, V. (2019). Too exhausted to go to bed: Implicit theories about willpower and stress predict bedtime procrastination. British Journal of Psychology, 111(1), 126–147. https://doi.org/10.1111/bjop.12382
Cain, N., & Gradisar, M. (2010). Electronic media use and sleep in school-aged children and adolescents: A review. Sleep Medicine, 11(8), 735–742. https://doi.org/10.1016/j.sleep.2010.02.006
Campbell, R. L., & Bridges, A. J. (2023). Bedtime procrastination mediates the relation between anxiety and sleep problems. Journal of Clinical Psychology, 79(3), 803–817. https://doi.org/10.1002/jclp.23440
Chauhan, R. S., MacDougall, A. E., Buckley, M. R., Howe, D. C., Crisostomo, M. E., & Zeni, T. (2020). Better late than early? Reviewing procrastination in organizations. Management Research Review, 43(10), 1289–1308. https://doi.org/10.1108/mrr-09-2019-0413
Choi, J. N., & Moran, S. V. (2009). Why not procrastinate? Development and validation of a new active procrastination scale. Journal of Social Psychology, 149(2), 195–211. https://doi.org/10.3200/SOCP.149.2.195-212
Chu, A. H., & Choi, J. N. (2005). Rethinking procrastination: Positive effects of “active” procrastination behavior on attitudes and performance. Journal of Social Psychology, 145(3), 245–264. https://doi.org/10.3200/SOCP.145.3.245-264
Corkin, D. M., Yu, S. L., & Lindt, S. F. (2011). Comparing active delay and procrastination from a self-regulated learning perspective. Learning and Individual Differences, 21(5), 602–606. https://doi.org/10.1016/j.lindif.2011.07.005
Coyne, S. M., Stockdale, L., & Summers, K. (2019). Problematic cell phone use, depression, anxiety, and self-regulation: Evidence from a three year longitudinal study from adolescence to emerging adulthood. Computers in Human Behavior, 96, 78–84. https://doi.org/10.1016/j.chb.2019.02.014
Dalal, D. K., & Carter, N. T. (2015). Negatively worded items negatively impact survey research. In More statistical and methodological myths and urban legends (pp. 112–132). Routledge/Taylor & Francis Group. https://doi.org/10.1177/1094428110391814
DeArmond, S., Matthews, R. A., & Bunk, J. (2014). Workload and procrastination: The roles of psychological detachment and fatigue. International Journal of Stress Management, 21(2), 137–161. https://doi.org/10.1037/a0034893
Deng, Y., Ye, B., & Yang, Q. (2022). COVID-19 related emotional stress and bedtime procrastination among college students in China: A moderated mediation model. Nature and Science of Sleep, 14, 1437–1447. https://doi.org/10.2147/NSS.S371292
Eid, M. (2000). A multitrait-multimethod model with minimal assumptions. Psychometrika, 65(2), 241–261. https://doi.org/10.1007/BF02294377
Eid, M., Lischetzke, T., Nussbeck, F. W., & Trierweiler, L. I. (2003). Separating trait effects from trait-specific method effects in multitrait-multimethod models: A multiple-indicator CT-C(M-1) model. Psychological Methods, 8(1), 38–60.
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030
Evans, D. R., Boggero, I. A., & Segerstrom, S. C. (2015). The nature of self-regulatory fatigue and “ego depletion”: Lessons from physical fatigue. Personality and Social Psychology Review, 20(4), 291–310. https://doi.org/10.1177/1088868315597841
Fan, X. W., Yang, Y., Wang, S., Zhang, Y. J., Wang, A. X., Liao, X. L.,… & Wang, Y. J. (2022). Impact of persistent poor sleep quality on post-stroke anxiety and depression: A national prospective clinical registry study. Nature and Science of Sleep, 14, 1125–1135. https://doi.org/10.2147/NSS.S357536
Guo, J., Meng, D., Ma, X., Zhu, L., Yang, L., & Mu, L. (2020). The impact of bedtime procrastination on depression symptoms in Chinese medical students. Sleep and Breathing, 24(3), 1247–1255. https://doi.org/10.1007/s11325-020-02079-0
Herzog-Krzywoszanska, R., & Krzywoszanski, L. (2019). Bedtime procrastination, sleep-related behaviors, and demographic factors in an online survey on a Polish sample. Frontiers in Neuroscience, 13, 963. https://doi.org/10.3389/fnins.2019.00963
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Jun, S., & Choi, E. (2015). Academic stress and Internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282–287. https://doi.org/10.1016/j.chb.2015.03.001
Khang, H., Kim, J. K., & Kim, Y. (2013). Self-traits and motivations as antecedents of digital media flow and addiction: The Internet, mobile phones, and video games. Computers in Human Behavior, 29(6), 2416–2424. https://doi.org/10.1016/j.chb.2013.05.027
Kim, K. R., & Seo, E. H. (2015). The relationship between procrastination and academic performance: A meta-analysis. Personality and Individual Differences, 82, 26–33. https://doi.org/10.1016/j.paid.2015.02.038
Kim, S., Fernandez, S., & Terrier, L. (2017). Procrastination, personality traits, and academic performance: When active and passive procrastination tell a different story. Personality and Individual Differences, 108, 154–157. https://doi.org/10.1016/j.paid.2016.12.021
Kroese, F. M., De Ridder, D. T., Evers, C., & Adriaanse, M. A. (2014). Bedtime procrastination: Introducing a new area of procrastination. Frontiers in Psychology, 5, 611. https://doi.org/10.3389/fpsyg.2014.00611
Kuang-Tsan, C., & Fu-Yuan, H. (2017). Study on relationship among university students’ life stress, smart mobile phone addiction, and life satisfaction. Journal of Adult Development, 24(2), 109–118. https://doi.org/10.1007/s10804-016-9250-9
Leung, L. (2008). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children and Media, 2(2), 93–113. https://doi.org/10.1080/17482790802078565
Lian, L., You, X., Huang, J., & Yang, R. (2016). Who overuses Smartphones? Roles of virtues and parenting style in Smartphone addiction among Chinese college students. Computers in Human Behavior, 65, 92–99. https://doi.org/10.1016/j.chb.2016.08.027
Liu, Q.-Q., Zhou, Z.-K., Yang, X.-J., Kong, F.-C., Niu, G.-F., & Fan, C.-Y. (2017a). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. Computers in Human Behavior, 72, 108–114. https://doi.org/10.1016/j.chb.2017.02.042
Liu, W., Pan, Y., Luo, X., Wang, L., & Pang, W. (2017b). Active procrastination and creative ideation: The mediating role of creative self-efficacy. Personality and Individual Differences, 119, 227–229. https://doi.org/10.1016/j.paid.2017.07.033
Liu, Q.-Q., Zhang, D.-J., Yang, X.-J., Zhang, C.-Y., Fan, C.-Y., & Zhou, Z.-K. (2018). Perceived stress and mobile phone addiction in Chinese adolescents: A moderated mediation model. Computers in Human Behavior, 87, 247–253. https://doi.org/10.1016/j.chb.2018.06.006
Ma, X., Meng, D., Zhu, L., Xu, H., Guo, J., Yang, L.,… & Mu, L. (2022). Bedtime procrastination predicts the prevalence and severity of poor sleep quality of Chinese undergraduate students. Journal of American College Health, 70(4), 1104–1111. https://doi.org/10.1080/07448481.2020.1785474
Ma, X., Zhu, L., Guo, J., Zhao, Y., Fu, Y., & Mu, L. (2021). Reliability and validity of the Bedtime Procrastination Scale in Chinese college students. Chinese Journal of Clinical Psychology, 29(4), 717–720.
Magalhaes, P., Pereira, B., Oliveira, A., Santos, D., Nunez, J. C., & Rosario, P. (2021). The mediator role of routines on the relationship between general procrastination, academic procrastination and perceived importance of sleep and bedtime procrastination. International Journal of Environmental Research and Public Health, 18(15), 7796. https://doi.org/10.3390/ijerph18157796
Mah, C. D., Kezirian, E. J., Marcello, B. M., & Dement, W. C. (2018). Poor sleep quality and insufficient sleep of a collegiate student-athlete population. Sleep Health, 4(3), 251–257. https://doi.org/10.1016/j.sleh.2018.02.005
Maheshwari, G., & Shaukat, F. (2019). Impact of poor sleep quality on the academic performance of medical students. Cureus, 11(4), e4357. https://doi.org/10.7759/cureus.4357
Majeur, D., Leclaire, S., Raymond, C., Leger, P. M., Juster, R. P., & Lupien, S. J. (2020). Mobile phone use in young adults who self-identify as being “Very stressed out” or “Zen”: An exploratory study. Stress and Health, 36(5), 606–614. https://doi.org/10.1002/smi.2947
Mansano-Schlosser, T. C., Ceolim, M. F., & Valerio, T. D. (2017). Poor sleep quality, depression and hope before breast cancer surgery. Applied Nursing Research, 34, 7–11. https://doi.org/10.1016/j.apnr.2016.11.010
Mao, B., Chen, S., Wei, M., Luo, Y., & Liu, Y. (2022). Future time perspective and bedtime procrastination: The mediating role of dual-mode self-control and problematic smartphone use. International Journal of Environmental Research and Public Health, 19(16), 10334. https://doi.org/10.3390/ijerph191610334
Mei, S., Hu, Y., Wu, X., Cao, R., Kong, Y., Zhang, L.,… & Li, L. (2022). Health risks of mobile phone addiction among college students in China. International Journal of Mental Health and Addiction, 21(4), 2650–2665. https://doi.org/10.1007/s11469-021-00744-3
Ni, S., Li, H., Xu, J., & Choi, J. (2011). Revision of a new active procrastination scale for Chinese undergraduates. Chinese Journal of Clinical Psychology, 19(4), 462–465.
Okun, M. L., Mancuso, R. A., Hobel, C. J., Schetter, C. D., & Coussons-Read, M. (2018). Poor sleep quality increases symptoms of depression and anxiety in postpartum women. Journal of Behavioral Medicine, 41(5), 703–710. https://doi.org/10.1007/s10865-018-9950-7
Orhero, A. E., Okereka, O. P., & Okolie, U. C. (2023). Role Stressor and Work Adjustment of University Lecturers in Delta State. Ianna Journal of Interdisciplinary Studies, 5(1), 124–135. https://iannajournalofinterdisciplinarystudies.com/index.php/1/article/view/114.
Peng, Y., Zhou, H., Zhang, B., Mao, H., Hu, R., & Jiang, H. (2022). Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: The mediating roles of rumination and the moderating role of self-control. Personality and Individual Differences, 185, 111222. https://doi.org/10.1016/j.paid.2021.111222
Pinxten, M., De Laet, T., Van Soom, C., Peeters, C., & Langie, G. (2019). Purposeful delay and academic achievement. A critical review of the Active Procrastination Scale. Learning and Individual Differences, 73, 42–51. https://doi.org/10.1016/j.lindif.2019.04.010
Rahe, C., Czira, M. E., Teismann, H., & Berger, K. (2015). Associations between poor sleep quality and different measures of obesity. Sleep Medicine, 16(10), 1225–1228. https://doi.org/10.1016/j.sleep.2015.05.023
Reise, S. P., Morizot, J., & Hays, R. D. (2007). The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Quality of Life Research, 16(Suppl 1), 19–31. https://doi.org/10.1007/s11136-007-9183-7
Sagherian, K., McNeely, C., Cho, H., & Steege, L. M. (2023). Nurses’ rest breaks and fatigue: The roles of psychological detachment and workload. Western Journal of Nursing Research, 45(10), 885–893. https://doi.org/10.1177/01939459231189787
Schmidt, L. I., Baetzner, A. S., Dreisbusch, M. I., Mertens, A., & Sieverding, M. (2023). Postponing sleep after a stressful day: Patterns of stress, bedtime procrastination, and sleep outcomes in a daily diary approach. Stress and Health. https://doi.org/10.1002/smi.3330
Schulz, A. D., Schöllgen, I., & Fay, D. (2019). The role of resources in the stressor–detachment model. International Journal of Stress Management, 26(3), 306–314. https://doi.org/10.1037/str0000100
Shaked, L., & Altarac, H. (2022). The possible contribution of procrastination and perception of self-efficacy to academic achievement. Journal of Further and Higher Education, 47(2), 197–214. https://doi.org/10.1080/0309877x.2022.2102414
Shang, Z., Cao, Y., Cui, Z., & Zuo, C. (2023). Positive delay? The influence of perceived stress on active procrastination. South African Journal of Business Management, 54(1), 3988. https://doi.org/10.4102/sajbm.v54i1.3988
Smit, B. W., & Barber, L. K. (2016). Psychologically detaching despite high workloads: The role of attentional processes. Journal of Occupational Health Psychology, 21(4), 432–442. https://doi.org/10.1037/ocp0000019
Song, T. J., Cho, S. J., Kim, W. J., Yang, K. I., Yun, C. H., & Chu, M. K. (2018). Poor sleep quality in migraine and probable migraine: A population study. The Journal of Headache and Pain, 19(1), 58. https://doi.org/10.1186/s10194-018-0887-6
Sonnentag, S. (2011). Recovery from fatigue: The role of psychological detachment. In Cognitive fatigue: Multidisciplinary perspectives on current research and future applications (pp. 253–272). American Psychological Association. https://doi.org/10.1037/12343-012
Sonnentag, S., Kuttler, I., & Fritz, C. (2010). Job stressors, emotional exhaustion, and need for recovery: A multi-source study on the benefits of psychological detachment. Journal of Vocational Behavior, 76(3), 355–365. https://doi.org/10.1016/j.jvb.2009.06.005
Spector, P. E., & Jex, S. M. (1998). Development of four self-report measures of job stressors and strain: Interpersonal Conflict at Work Scale, Organizational Constraints Scale, Quantitative Workload Inventory, and Physical Symptoms Inventory. Journal of Occupational Health Psychology, 3(4), 356–367. https://doi.org/10.1037//1076-8998.3.4.356
Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1), 65–94. https://doi.org/10.1037/0033-2909.133.1.65
Sun, W., Yuan, J., Yu, Y., Wang, Z., Shankar, N., Ali, G.,… & Shan, G. (2016). Poor sleep quality associated with obesity in men. Sleep and Breathing, 20(2), 873–880. https://doi.org/10.1007/s11325-015-1193-z
Teoh, A. N., Ooi, E. Y. E., & Chan, A. Y. (2021). Boredom affects sleep quality: The serial mediation effect of inattention and bedtime procrastination. Personality and Individual Differences, 171, 110460. https://doi.org/10.1016/j.paid.2020.110460
Tommasi, F., Ceschi, A., Du Plooy, H., Michailidis, E., & Sartori, R. (2023). The influence of workday experience on smartphones uses in commuting from work to home. Transportation Research Part F: Traffic Psychology and Behaviour, 97, 268–277. https://doi.org/10.1016/j.trf.2023.07.016
Yang, X. J., Liu, Q. Q., Lian, S. L., & Zhou, Z. K. (2020). Are bored minds more likely to be addicted? The relationship between boredom proneness and problematic mobile phone use. Addictive Behaviors, 108, 106426. https://doi.org/10.1016/j.addbeh.2020.106426
Zhang, Y., Li, S., & Yu, G. (2021). The longitudinal relationship between boredom proneness and mobile phone addiction: Evidence from a cross-lagged model. Current Psychology, 41(12), 8821–8828. https://doi.org/10.1007/s12144-020-01333-8
Zhang, A., Xiong, S., Peng, Y., Zeng, Y., Zeng, C., Yang, Y., & Zhang, B. (2022a). Perceived stress and mobile phone addiction among college students: The roles of self-control and security. Front Psychiatry, 13, 1005062. https://doi.org/10.3389/fpsyt.2022.1005062
Zhang, B., Liang, H., Luo, Y., Peng, Y., Qiu, Z., Mao, H.,… & Xiong, S. (2022b). Loneliness and mobile phone addiction in Chinese college students: A moderated mediation model. Journal of Psychology in Africa, 32(6), 605–610. https://doi.org/10.1080/14330237.2022.2121474
Zhang, X., Gao, F., Kang, Z., Zhou, H., Zhang, J., Li, J.,… & Liu, B. (2022c). Perceived academic stress and depression: The mediation role of mobile phone addiction and sleep quality. Frontiers in Public Health, 10, 760387. https://doi.org/10.3389/fpubh.2022.760387
Zhu, Y., Huang, J., & Yang, M. (2022). Association between chronotype and sleep quality among Chinese college students: The role of bedtime procrastination and sleep hygiene awareness. International Journal of Environmental Research and Public Health, 20(1), 197. https://doi.org/10.3390/ijerph20010197
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Zhuo, R. Examining bedtime procrastination through the lens of academic stressors among undergraduate students: academic stressors including mediators of mobile phone addiction and active procrastination. Curr Psychol (2024). https://doi.org/10.1007/s12144-024-06038-w
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DOI: https://doi.org/10.1007/s12144-024-06038-w