A Longitudinal Investigation on the Reciprocal Relationship of Problematic Smartphone Use with Bedtime Procrastination, Sleep Quality, and Mental Health Among University Students
Status PubMed-not-MEDLINE Jazyk angličtina Země Nový Zéland Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
39359420
PubMed Central
PMC11446206
DOI
10.2147/prbm.s472299
PII: 472299
Knihovny.cz E-zdroje
- Klíčová slova
- anxiety, bedtime procrastination, depression, problematic smartphone use, sleep quality, stress symptoms,
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Problematic smartphone use (PSU) is linked to various mental health issues, but the relationship between PSU, bedtime procrastination, and mental health symptoms is unclear. Sleep factors related to PSU and its mental health effects have been understudied. This study explores the longitudinal associations between PSU, bedtime procrastination, sleep quality, and mental health in university students. METHODS: In this study, a total of 683 university students participated by completing questionnaires on Smart Phone Addiction (SAS) scale, Bedtime Procrastination Scale (BPS), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety Stress Scales 21 (DASS-21) across two different time points with six-months interval between them. The participants were selected using a cluster sampling technique from Quaid-e-Azam University, Islamabad, Pakistan. A cross-lagged model was utilized to assess the longitudinal association between these variables. RESULTS: Statistically significant reciprocal associations were found between PSU, bedtime procrastination, and mental health symptoms. PSU at Time 1 significantly predicted PSU at Time 2, bedtime procrastination at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Bedtime procrastination at Time 1 predicted PSU at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Sleep quality at Time 1 predicted bedtime procrastination at Time 2 and mental health symptoms at Time 2. Mental health symptoms at Time 1 predicted PSU at Time 2 and sleep quality at Time 2. CONCLUSION: The research findings have significantly advanced understanding of the longitudinal connections between PSU, bedtime procrastination, sleep quality, and mental health indicators. This enhanced comprehension is instrumental for psychological practitioners in devising targeted interventions to mitigate such issues among the university student demographic.
Department of Psychology Quaid e Azam University Islamabad Pakistan
Department of Social and Public Health Ohio University Athens OH 45701 USA
Faculty of Education University Malaya Kuala Lumpur 50603 Malaysia
Science and Research Centre Faculty of Health Sciences Palacký University Olomouc Olomouc Czechia
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Mok J-Y, Choi S-W, Kim D-J, et al. Latent class analysis on internet and smartphone addiction in college students. Neuropsychiatr Dis Treat. 2014;10:817. doi:10.2147/NDT.S59293 PubMed DOI PMC
Ben-Yehuda L, Greenberg L, Weinstein A. Internet addiction by using the smartphone-relationships between internet addiction, frequency of smartphone use and the state of mind of male and female students. J Reward Defic Syndr Addict Sci. 2016;2(1):22–27. doi:10.17756/jrdsas.2016-024 DOI
Jin Jeong Y, Suh B, Gweon G. Is smartphone addiction different from Internet addiction? Comparison of addiction-risk factors among adolescents. Behav Inf Technol. 2020;39(5):578–593. doi:10.1080/0144929X.2019.1604805 DOI
Lee S-Y, Lee D, Nam CR, et al. Distinct patterns of Internet and smartphone-related problems among adolescents by gender: latent class analysis. J Behav Addict. 2018;7(2):454–465. doi:10.1556/2006.7.2018.28 PubMed DOI PMC
Lin Y-H, Chang L-R, Lee Y-H, Tseng H-W, Kuo TBJ, Chen S-H. Development and validation of the Smartphone Addiction Inventory (SPAI). PLoS One. 2014;9(6):e98312. doi:10.1371/journal.pone.0098312 PubMed DOI PMC
Kwon M, Lee J-Y, Won W-Y, et al. Development and validation of a smartphone addiction scale (SAS). PLoS One. 2013;8(2):e56936. doi:10.1371/journal.pone.0056936 PubMed DOI PMC
Kim D, Lee Y, Lee J, Nam JK, Chung Y. Development of Korean smartphone addiction proneness scale for youth. PLoS One. 2014;9(5):e97920. doi:10.1371/journal.pone.0097920 PubMed DOI PMC
Merlo LJ, Stone AM, Bibbey A. Measuring problematic mobile phone use: development and preliminary psychometric properties of the PUMP scale. J Addict. 2013;2013:1–7. doi:10.1155/2013/912807 PubMed DOI PMC
Mustafaoglu R, Yasaci Z, Zirek E, Griffiths MD, Ozdincler AR. The relationship between smartphone addiction and musculoskeletal pain prevalence among young population: a cross-sectional study. Korean J Pain. 2021;34(1):72–81. doi:10.3344/kjp.2021.34.1.72 PubMed DOI PMC
Suliman A, Jawaher T, Mohamed A, et al. The association between mobile phone use and severe traffic injuries: a case-control study from Saudi Arabia. Int J Environ Res Public Health. 2019;16(15):1. PubMed PMC
Yang J, Fu X, Liao X, Li Y. Association of problematic smartphone use with poor sleep quality, depression, and anxiety: a systematic review and meta-analysis. Psychiatry Res. 2020;284:112686. doi:10.1016/j.psychres.2019.112686 PubMed DOI
Khan A, McLeod G, Hidajat T, Edwards EJ. Excessive smartphone use is associated with depression, anxiety, stress, and sleep quality of Australian adults. J Med Syst. 2023;47(1):109. doi:10.1007/s10916-023-02005-3 PubMed DOI PMC
Augner C, Vlasak T, Aichhorn W, Barth A. The association between problematic smartphone use and symptoms of anxiety and depression—a meta-analysis. J Public Health. 2023;45(1):193–201. doi:10.1093/pubmed/fdab350 PubMed DOI
Kliestik T, Scott J, Musa H, Suler P. Addictive smartphone behavior, anxiety symptom severity, and depressive stress. Anal Metaphys. 2020;19:45–51.
Che Y, Fang D, Cai L, et al. Mediation of resilience in the association between personality traits and suicidal ideation among Chinese adolescents. Front Psychol. 2022;2022:13. PubMed PMC
Kobylińska D, Zajenkowski M, Lewczuk K, Jankowski KS, Marchlewska M. The mediational role of emotion regulation in the relationship between personality and subjective well-being. Curr Psychol. 2022;41(6):4098–4111. doi:10.1007/s12144-020-00861-7 DOI
Akyunus M, Gençöz T, Karakose S. The mediator role of negative cognitive emotion regulation strategies between interpersonal problems and borderline personality beliefs. J Ration Cogn Ther. 2021;39(3):322–334. doi:10.1007/s10942-020-00373-0 DOI
Yang X, Hu H, Zhao C, Xu H, Tu X, Zhang G. A longitudinal study of changes in smart phone addiction and depressive symptoms and potential risk factors among Chinese college students. BMC Psychiatry. 2021;21(1):252. doi:10.1186/s12888-021-03265-4 PubMed DOI PMC
Zhao C, He J, Du M, et al. A cross-lagged study of the associations among problematic smartphone use, depressive symptoms, and suicidal ideation in Chinese university students. Curr Psychol. 2024;43(18):16796–16807. doi:10.1007/s12144-023-04560-x PubMed DOI PMC
Cui G, Yin Y, Li S, et al. Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: a cross-lagged panel analysis. BMC Psychiatry. 2021;21(1):449. doi:10.1186/s12888-021-03451-4 PubMed DOI PMC
Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: a review of the literature and conceptual frameworks. J Anxiety Disord. 2019;62:45–52. doi:10.1016/j.janxdis.2018.11.005 PubMed DOI
Islam M. Link between excessive smartphone use and sleeping disorders and depression among South Korean University students. Healthcare. 2021;9:1213. doi:10.3390/healthcare9091213 PubMed DOI PMC
Nikolic A, Bukurov B, Kocic I, et al. Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students. Front Public Health. 2023;11:1252371. doi:10.3389/fpubh.2023.1252371 PubMed DOI PMC
Zou L, Wu X, Tao S, et al. Mediating effect of sleep quality on the relationship between problematic mobile phone use and depressive symptoms in college students. Front Psychiatry. 2019;10:822. doi:10.3389/fpsyt.2019.00822 PubMed DOI PMC
Aabrooi S, Shafiqueii S, Javediii A, Fatimaiv A, Khanv O, RiazVi S. Frequency of cervicogenic headache in students due to usage of smart devices-cross sectional survey. Pakistan J Rehabil. 2022;11(2):36–41. doi:10.36283/pjr.zu.11.2/007 DOI
Mandhwani S, Zia S, Shaikh ES, Duarte D, Tanveer E. Association between cell phone usage and musculoskeletal disorders in school going children. J Musculoskelet Res. 2022;25(01):2250003. doi:10.1142/S0218957722500038 DOI
Demirci K, Akgönül M, Akpinar A. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict. 2015;4(2):85–92. doi:10.1556/2006.4.2015.010 PubMed DOI PMC
Wang W, Du X, Guo Y, et al. The associations between sleep situations and mental health among Chinese adolescents: a longitudinal study. Sleep Med. 2021;82:71–77. doi:10.1016/j.sleep.2021.03.009 PubMed DOI
Peltz JS, Rogge RD, Bodenlos JS, Kingery JN, Pigeon WR. Changes in psychological inflexibility as a potential mediator of longitudinal links between college students’ sleep problems and depressive symptoms. J Context Behav Sci. 2020;15:110–122. doi:10.1016/j.jcbs.2019.12.003 DOI
Ghafoor RZ, Nawaz S, Zahra T, Hakeem TA. Effect of smartphone addiction on academic performance; Mediation of self-regulation and bedtime procrastination. Pakistan J Med Heal Sci. 2022;16(09):618. doi:10.53350/pjmhs22169618 DOI
Rehman S, Rehman E, Liu B. Potential correlation between self-compassion and bedtime procrastination: the mediating role of emotion regulation. Psychol Res Behav Manag. 2023;16(1):4709–4723. doi:10.2147/PRBM.S431922 PubMed DOI PMC
Rozgonjuk D, Kattago M, Täht K. Social media use in lectures mediates the relationship between procrastination and problematic smartphone use. Comput Human Behav. 2018;89:191–198. doi:10.1016/j.chb.2018.08.003 DOI
Li L, Gao H, Xu Y. The mediating and buffering effect of academic self-efficacy on the relationship between smartphone addiction and academic procrastination. Comput Educ. 2020;159:104001. doi:10.1016/j.compedu.2020.104001 DOI
Sirois FM, Melia-Gordon ML, Pychyl TA. “I’ll look after my health, later”: an investigation of procrastination and health. Pers Individ Dif. 2003;35(5):1167–1184. doi:10.1016/S0191-8869(02)00326-4 DOI
Li X, Buxton OM, Kim Y, Haneuse S, Kawachi I. Do procrastinators get worse sleep? Cross-sectional study of US adolescents and young adults. SSM-Population Heal. 2020;10:100518. doi:10.1016/j.ssmph.2019.100518 PubMed DOI PMC
Kwon M, Kim D-J, Cho H, Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One. 2013;8(12):e83558. doi:10.1371/journal.pone.0083558 PubMed DOI PMC
Khalily MT, Loona MI, Bhatti MM, Ahmad I, Saleem T. Smartphone addiction and its associated factors among students in twin cities of Pakistan. JPMA. 2020;70(8):1357–1362. PubMed
Kroese FM, De Ridder DTD, Evers C, Adriaanse MA. Bedtime procrastination: introducing a new area of procrastination. Front Psychol. 2014;5:89333. doi:10.3389/fpsyg.2014.00611 PubMed DOI PMC
Kroese FM, Nauts S, Kamphorst BA, Anderson JH, de Ridder DTD. Bedtime procrastination: a behavioral perspective on sleep insufficiency. Procrast Health Well-Being Elsevier. 2016;2016:93–119.
Kroese FM, Evers C, Adriaanse MA, de Ridder DTD. Bedtime procrastination: a self-regulation perspective on sleep insufficiency in the general population. J Health Psychol. 2016;21(5):853–862. doi:10.1177/1359105314540014 PubMed DOI
Hill VM, Rebar AL, Ferguson SA, Shriane AE, Vincent GE. Go to bed! A systematic review and meta-analysis of bedtime procrastination correlates and sleep outcomes. Sleep Med Rev. 2022;66:101697. doi:10.1016/j.smrv.2022.101697 PubMed DOI
Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. doi:10.1016/0165-1781(89)90047-4 PubMed DOI
Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the beck depression and anxiety inventories. Behav Res Ther. 1995;33(3):335–343. doi:10.1016/0005-7967(94)00075-U PubMed DOI
Meredith W. Measurement invariance, factor analysis and factorial invariance. Psychometrika. 1993;58:525–543. doi:10.1007/BF02294825 DOI
Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model a Multidiscip J. 1999;6(1):1–55. doi:10.1080/10705519909540118 DOI
Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res. 2003;8(2):23–74.
Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model a Multidiscip J. 2007;14(3):464–504. doi:10.1080/10705510701301834 DOI
Urieta P, Sorrel MA, Aluja A, Balada F, Lacomba E, García LF. Exploring the relationship between personality, decision-making styles, and problematic smartphone use. Curr Psychol. 2022;2022:1–18.
Zhong Y, Ma H, Liang Y-F, Liao C-J, Zhang -C-C, Jiang W-J. Prevalence of smartphone addiction among Asian medical students: a meta-analysis of multinational observational studies. Int J Soc Psychiatry. 2022;68(6):1171–1183. doi:10.1177/00207640221089535 PubMed DOI
Green M, Kovacova M, Valaskova K. Smartphone addiction risk, depression psychopathology, and social anxiety. Anal Metaphys. 2020;19:52–58.
Lăzăroiu G, Kovacova M, Siekelova A, Vrbka J. Addictive behavior of problematic smartphone users: the relationship between depression, anxiety, and stress. Rev Contemp Philos. 2020;19:50–56.
Park S-Y, Yang S, Shin C-S, Jang H, Park S-Y. Long-term symptoms of mobile phone use on mobile phone addiction and depression among Korean adolescents. Int J Environ Res Public Health. 2019;16(19):3584. doi:10.3390/ijerph16193584 PubMed DOI PMC
Jun S. The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Comput Human Behav. 2016;58:179–186. doi:10.1016/j.chb.2015.12.061 DOI
Coyne SM, Stockdale L, Summers K. Problematic cell phone use, depression, anxiety, and self-regulation: evidence from a three year longitudinal study from adolescence to emerging adulthood. Comput Human Behav. 2019;96:78–84. doi:10.1016/j.chb.2019.02.014 DOI
Kang Y, Liu S, Yang L, et al. Testing the bidirectional associations of mobile phone addiction behaviors with mental distress, sleep disturbances, and sleep patterns: a one-year prospective study among Chinese college students. Front Psychiatry. 2020;11:634. doi:10.3389/fpsyt.2020.00634 PubMed DOI PMC
Breslau N, Roth T, Rosenthal L, Andreski P. Sleep disturbance and psychiatric disorders: a longitudinal epidemiological study of young adults. Biol Psychiatry. 1996;39(6):411–418. doi:10.1016/0006-3223(95)00188-3 PubMed DOI
Baglioni C, Nanovska S, Regen W, et al. Sleep and mental disorders: a meta-analysis of polysomnographic research. Psychol Bull. 2016;142(9):969. doi:10.1037/bul0000053 PubMed DOI PMC
Rehman S, Addas A, Rahman MA, Shahiman MA, Li Z. Sequential mediation analysis of physical activity, healthy diet, BMI, and academic burnout in the Pakistani educational landscape. Sci Rep. 2024;14(1):7737. doi:10.1038/s41598-024-58126-3 PubMed DOI PMC
Stanković M, Nešić M, Čičević S, Shi Z. Association of smartphone use with depression, anxiety, stress, sleep quality, and internet addiction. Empirical evidence from a smartphone application. Pers Individ Dif. 2021;168:110342. doi:10.1016/j.paid.2020.110342 DOI
Rafeeq S, Naman MS, Ijaz MT, Touseef M, Rai IA, Chaudhry MA. Association of excessive smartphone use with sleep in students of a private medical college in Lahore, Pakistan. Rawal Med J. 2021;46(4):947–950.
Ejaz W, Altay S, Naeem G. Smartphone use and well-being in Pakistan: comparing the effect of self-reported and actual smartphone use. Digit Heal. 2023;9:20552076231186076. PubMed PMC
Lee JE, Jang S-I, Ju YJ, Kim W, Lee HJ, Park E-C. Relationship between Mobile phone addiction and the incidence of poor and short sleep among Korean adolescents: a longitudinal study of the Korean Children & Youth Panel Survey. J Korean Med Sci. 2017;32(7):1166–1172. doi:10.3346/jkms.2017.32.7.1166 PubMed DOI PMC
Tamura H, Nishida T, Tsuji A, Sakakibara H. Association between excessive use of mobile phone and insomnia and depression among Japanese adolescents. Int J Environ Res Public Health. 2017;14(7):701. doi:10.3390/ijerph14070701 PubMed DOI PMC
Zaman M, Babar MS, Babar M, et al. Prevalence of gaming addiction and its impact on sleep quality: a cross-sectional study from Pakistan. Ann Med Surg. 2022;78:103641. doi:10.1016/j.amsu.2022.103641 PubMed DOI PMC
Surani AA, Zahid S, Surani A, Ali S, Mubeen M, Khan RH. Sleep quality among medical students of Karachi, Pakistan. J Pak Med Assoc. 2015;65(4):380–382. PubMed
Bokhari NM, Zafar M. Daytime sleepiness and sleep quality among undergraduate Medical students in Sialkot, Pakistan. Dr Sulaiman Al Habib Med J. 2020;2(2):51–55. doi:10.2991/dsahmj.k.200514.002 DOI
Sirois FM. Procrastination and stress: a conceptual review of why context matters. Int J Environ Res Public Health. 2023;20(6):5031. doi:10.3390/ijerph20065031 PubMed DOI PMC
Mehmood H, Siddiqui DA. The mediatory role of active, and passive procrastination in the impact of personality traits, and other factors on students’ academic performance and well-being in higher education institutions of Pakistan. Available SSRN. 2023;2023:1.
Steel P. The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure. Psychol Bull. 2007;133(1):65. doi:10.1037/0033-2909.133.1.65 PubMed DOI
Iftikhar A, Liaquat AW, Shahid H. Mediating effect of academic amotivation between smartphone addiction and academic procrastination among university students. Online Media Soc. 2022;3:202–212.
Van Eerde W, Venus M. A daily diary study on sleep quality and procrastination at work: the moderating role of trait self-control. Front Psychol. 2018;9:2029. doi:10.3389/fpsyg.2018.02029 PubMed DOI PMC
Tice DM, Baumeister RF. Longitudinal study of procrastination, performance, stress, and health: the costs and benefits of dawdling. Psychol Sci. 1997;8(6):454–458. doi:10.1111/j.1467-9280.1997.tb00460.x DOI
Tochigi M, Usami S, Matamura M, et al. Annual longitudinal survey at up to five time points reveals reciprocal effects of bedtime delay and depression/anxiety in adolescents. Sleep Med. 2016;17:81–86. doi:10.1016/j.sleep.2015.08.024 PubMed DOI
Sirois F, Pychyl T. Procrastination and the priority of short‐term mood regulation: consequences for future self. Soc Personal Psychol Compass. 2013;7(2):115–127. doi:10.1111/spc3.12011 DOI