Bedtime smartphone use and academic performance: A longitudinal analysis from the stressor-strain-outcome perspective

Marchant, 2019, Homo prostheticus? Intercorporeality and the emerging adult-smartphone assemblage, Inf Technol People, 32, 453, 10.1108/ITP-07-2017-0209

Škařupová, 2016, The effect of smartphone use on trends in European adolescents’ excessive Internet use, Behav Inf Technol, 35, 68, 10.1080/0144929X.2015.1114144

Billieux, 2015, Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research, Curr Addict Rep, 2, 156, 10.1007/s40429-015-0054-y

Paik, 2019, Prolonged bedtime smartphone use is associated with altered resting-state functional connectivity of the insula in adult smartphone users, Front Psychiatry, 10, 10.3389/fpsyt.2019.00516

Alshobaili, 2019, The effect of smartphone usage at bedtime on sleep quality among Saudi non- medical staff at King Saud University Medical City, J Fam Med Prim Care, 8, 1953, 10.4103/jfmpc.jfmpc_269_19

Wang, 2019, Relationship of sleep quality, smartphone dependence, and health-related behaviors in female junior college students, PLoS One, 14, 1, 10.1371/journal.pone.0214769

Elhai, 2020, COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults, J Affect Disord, 274, 576, 10.1016/j.jad.2020.05.080

Sañudo, 2020, Objectively-assessed physical activity, sedentary behavior, smartphone use, and sleep patterns preand during-COVID-19 quarantine in young adults from Spain, Sustainability, 12, 1, 10.3390/su12155890

Eliahu, Jeremy. (2014). 10 ways smartphones have completely ruined our lives. Thought Catalog. Retrieved Semptember 11, 2021, from https://thoughtcatalog.com/jim-eliahu/2014/04/10-ways-smartphones-have-completely-ruined-our-lives/.

Horwood, 2019, Problematic smartphone usage and subjective and psychological well-being, Comput Hum Behav, 97, 44, 10.1016/j.chb.2019.02.028

Han, 2018, How does the smartphone usage of college students affect academic performance?, J Comput Assist Learn, 35, 13, 10.1111/jcal.12306

Yildirim, 2016, A growing fear: prevalence of nomophobia among Turkish college students, Inf Dev, 32, 1322, 10.1177/0266666915599025

AlDabal, 2011, Metabolic, endocrine, and immune consequences of sleep deprivation, Open Respir Med J, 5, 31, 10.2174/1874306401105010031

Chang, 2015, Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness, Proc Natl Acad Sci, 112, 1232, 10.1073/pnas.1418490112

Kara, 2021, Duration of daily smartphone usage as an antecedent of nomophobia: exploring multiple mediation of loneliness and anxiety, Behav Inf Technol, 40, 85, 10.1080/0144929X.2019.1673485

Bates, T. (2019). Should university and college instructors ban cell phones in their classes? Online Learning and Distance Education Resources. Retrieved September 30, 2019, from https://www.tonybates.ca/2019/03/15/should-university-and-college-instructors-ban-cell-phones-in-their-classes/.

Bin, M., & Jun, L. (2021). China bans classroom mobile phone use over addiction concerns. People's Daily Online. Retrieved February 17, 2021, from http://en.people.cn/n3/2021/0201/c90000-9815129.html.

Yle. (2019). Teens trying to cut back on smartphone use. Yle news, Retrieved Semptember 17, 2021, from https://yle.fi/uutiset/osasto/news/teens_trying_to_cut_back_on_smartphone_use/10791779.

Liu, 2017, Mobile phone addiction and sleep quality in adolescents: mediation and moderation analyses, Acta Psychol Sin, 49, 1524, 10.3724/SP.J.1041.2017.01524

Ally, 2013, Open education resources and mobile technology to narrow the learning divide, Int Rev Res Open Distance Learn, 14, 14, 10.19173/irrodl.v14i2.1530

Zhang, 2021, Preparing first-year college students’ academic transition: what is the value of complementary web-based learning?, Comput Educ, 172, 10.1016/j.compedu.2021.104265

Rysavy, 2020, Working from home: how we managed our team remotely with technology, J Libr Adm, 60, 532, 10.1080/01930826.2020.1760569

Kim, 2017, A daily investigation of smartphone use and affective well-being at work, Acad Manag Proc, 2017, 15780, 10.5465/AMBPP.2017.15780abstract

Zhang, 2020, Effects of smartphone addiction on sleep quality among Chinese university students: the mediating role of self-regulation and bedtime procrastination, Addict Behav, 111, 10.1016/j.addbeh.2020.106552

Barkley, 2016, College students’ mobile telephone use is positively associated with sedentary behavior, Am J Lifestyle Med, 10, 437, 10.1177/1559827615594338

Rod, 2018, Overnight smartphone use: a new public health challenge? A novel study design based on high-resolution smartphone data, PLoS One, 13, 1, 10.1371/journal.pone.0204811

Fu, 2021, Exploring an adverse impact of smartphone overuse on academic performance via health issues: a stimulus-organism-response perspective, Behav Inf Technol, 40, 663, 10.1080/0144929X.2020.1716848

Lemola, 2014, Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age, J Youth Adolesc, 44, 405, 10.1007/s10964-014-0176-x

Adams, 2013, Adolescent sleep and cellular phone use: recent trends and implications for research, Health Serv Insights, 6, 6

Gamble, 2014, Adolescent sleep patterns and night-time technology use: results of the Australian Broadcasting Corporation's Big Sleep survey, PLoS One, 9, 10.1371/journal.pone.0111700

Chen, 2016, Mobile phone addition levels and negative emotions among Chinese young adults: the mediating role of interpersonal problems, Comput Hum Behav, 55, 856, 10.1016/j.chb.2015.10.030

Darcin, 2016, Smartphone addiction and its relationship with social anxiety and loneliness, Behav Inf Technol, 35, 520, 10.1080/0144929X.2016.1158319

Hawi, 2017, Relationships among smartphone addiction, anxiety, and family relations, Behav Inf Technol, 36, 1046, 10.1080/0144929X.2017.1336254

Lin, Y., Liu, Y., & Fan, W. (2020). How does Mobile ICT Affect Psychological Unease? A Longitudinal Study. Twenty-Fourth Pacific Asia Conference on Information Systems, Dubai, UAE, 1–14.

Tan, 2019, Parental attachment, smartphone addiction and stress among undergraduate students, Int J Educ Psychol Couns, 4, 149

Lin, Y. (2019). How does Nomophobia Impact Life Satisfaction? Exploring the Mediating Effect of Psychological Disorders. Selected Papers of the IRIS, Issue Nr 10 (2019). 7..

Demirci, 2015, Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students, J Behav Addict, 4, 85, 10.1556/2006.4.2015.010

Lepp, 2014, The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students, Comput Hum Behav, 31, 343, 10.1016/j.chb.2013.10.049

Chen, 2015, Investigating the relationship between thinking style and personal electronic device use and its implications for academic performance, Comput Hum Behav, 52, 177, 10.1016/j.chb.2015.05.042

Lepp, 2015, The relationship between cell phone use and academic performance in a sample of U.S. college students, SAGE Open, 5, 1, 10.1177/2158244015573169

Junco, 2011, Perceived academic effects of instant messaging use, Comput Educ, 56, 370, 10.1016/j.compedu.2010.08.020

Junco, 2012, No A 4 U: the relationship between multitasking and academic performance, Comput Educ, 59, 505, 10.1016/j.compedu.2011.12.023

Kates, 2018, The effects of mobile phone use on academic performance: a meta-analysis, Comput Educ, 127, 107, 10.1016/j.compedu.2018.08.012

Lin, 2017, Investigating predictors of smartphone dependency symptoms and effects on academic performance, improper phone use and perceived sociability, Int J Mob Commun, 15, 655, 10.1504/IJMC.2017.086881

Tossell, 2015, You can lead a horse to water but you cannot make him learn: smartphone use in higher education, Br J Educ Technol, 46, 713, 10.1111/bjet.12176

Kibona, 2015, Smartphones’ effects on academic performance of higher learning students, J Multidiscip Eng Sci Technol, 2, 777

Chen, 2016, Does multitasking with mobile phones affect learning? A review, Comput Hum Behav, 54, 34, 10.1016/j.chb.2015.07.047

Mendoza, 2018, The effect of cellphones on attention and learning: the influences of time, distraction, and nomophobia, Comput Hum Behav, 86, 52, 10.1016/j.chb.2018.04.027

Hawi, 2016, To excel or not to excel : strong evidence on the adverse effect of smartphone addiction on academic performance, Comput Educ, 98, 81, 10.1016/j.compedu.2016.03.007

Nayak, 2018, Relationship among smartphone usage, addiction, academic performance and the moderating role of gender: a study of higher education students in India, Comput Educ, 123, 164, 10.1016/j.compedu.2018.05.007

King, 2013, Nomophobia: dependency on virtual environments or social phobia?, Comput Hum Behav, 29, 140, 10.1016/j.chb.2012.07.025

Koeske, 1993, A preliminary test of a stress-strain-outcome model for reconceptualizing the burnout phenomenon, J Soc Serv Res, 17, 107, 10.1300/J079v17n03_06

Ayyagari, 2011, Technostress: technological antecedents and implications, MIS Q, 35, 831, 10.2307/41409963

Cao, 2018, Excessive use of mobile social networking sites and poor academic performance: antecedents and consequences from stressor-strain-outcome perspective, Comput Hum Behav, 85, 163, 10.1016/j.chb.2018.03.023

Cheung, 2013, Effect of emotional dissonance on organizational citizenship behavior: testing the stressor-strain-outcome model, J Psychol Interdiscip Appl, 147, 89, 10.1080/00223980.2012.676576

Um, 1998, Role stressors, burnout, mediators, and job satisfaction: a stress-strain-outcome model and an empirical test, Soc Work Res, 22, 100, 10.1093/swr/22.2.100

Ragu-Nathan, 2008, The consequences of technostress for end users in organizations : conceptual development and empirical validation, Inf Syst Res, 19, 417, 10.1287/isre.1070.0165

Tarafdar, 2019, The technostress trifecta - techno eustress, techno distress and design: theoretical directions and an agenda for research, Inf Syst J, 29, 6, 10.1111/isj.12169

Shi, 2020, Effects of social media overload on academic performance: a stressor–strain–outcome perspective, Asian J Commun, 30, 179, 10.1080/01292986.2020.1748073

Malik, 2020, Correlates of social media fatigue and academic performance decrement: a large cross-sectional study, Inf Technol People, 10.1108/ITP-06-2019-0289

Turley, 2000, Atmospheric effects on shopping behavior: a review of the experimental evidence, J Bus Res, 49, 193, 10.1016/S0148-2963(99)00010-7

Hogarth, 2011, Parallel goal-directed and habitual control of human drug-seeking: implications for dependence vulnerability, J Exp Psychol Anim Behav Process, 37, 261, 10.1037/a0022913

Billieux, 2008, The Role of impulsivity in actual and problematic use of the mobile phone, Appl Cogn Psychol, 22, 1195, 10.1002/acp.1429

Csibi, 2018, The psychometric properties of the smartphone application-based addiction scale (SABAS), Int J Ment Health Addict, 16, 393, 10.1007/s11469-017-9787-2

Ward, 2017, Brain drain: the mere presence of one's own smartphone reduces available cognitive capacity, J Assoc Consum Res, 2, 140, 10.1086/691462

Tamura, 2017, Association between excessive use of mobile phone and insomnia and depression among Japanese adolescents, Int J Environ Res Public Health, 14, 1, 10.3390/ijerph14070701

Dissing, 2021, Daytime and nighttime smartphone use: a study of associations between multidimensional smartphone behaviours and sleep among 24,856 Danish adults, J Sleep Res, 30, e13356, 10.1111/jsr.13356

Huang, 2020, Smartphone use and sleep quality in Chinese college students: a preliminary study, Front Psychiatry, 11, 10.3389/fpsyt.2020.00352

Dewald, 2010, The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: a meta-analytic review, Sleep Med Rev, 14, 179, 10.1016/j.smrv.2009.10.004

Piro, 2018, Prevalence of sleep disorders and their impact on academic performance in medical students/University of Duhok, Sleep Biol Rhythm, 16, 125, 10.1007/s41105-017-0134-6

Curcio, 2006, Sleep loss, learning capacity and academic performance, Sleep Med Rev, 10, 323, 10.1016/j.smrv.2005.11.001

Wilmer, 2017, Smartphones and cognition: a review of research exploring the links between mobile technology habits and cognitive functioning, Front Psychol, 8, 1, 10.3389/fpsyg.2017.00605

Diamond, 2020, Standing up for health – improving mental wellbeing during COVID-19 isolation by reducing sedentary behaviour, J Affect Disord, 277, 232, 10.1016/j.jad.2020.07.137

Wright, 2009, The effects of physical activity on physical and mental health among individuals with bipolar disorder: a systematic review, Ment Health Phys Act, 2, 86, 10.1016/j.mhpa.2009.09.001

2018

Pigozzi, 2020, Elderly or ageless? Physical activity in the aged orthopaedic patient, J Clin Med, 9, 1, 10.3390/jcm9103243

Bloodworth, 2012, Sport, physical activity and well-being: an objectivist account, Sport Educ Soc, 17, 497, 10.1080/13573322.2011.608948

Whelan, 2020, How the social dimension of fitness apps can enhance and undermine wellbeing: a dual model of passion perspective, Inf Technol People

Kern, 2015, A multidimensional approach to measuring well-being in students: application of the PERMA framework, J Posit Psychol, 10, 262, 10.1080/17439760.2014.936962

Eriksson-Backa, 2012, Health information literacy in everyday life: a study of Finns aged 65–79 years, Health Inform J, 18, 83, 10.1177/1460458212445797

Mengi, 2020, An institution-based study to assess the prevalence of Nomophobia and its related impact among medical students in Southern Haryana, India, J Fam Med Prim Care, 9, 2303, 10.4103/jfmpc.jfmpc_58_20

Samaha, 2016, Relationships among smartphone addiction, stress, academic performance, and satisfaction with life, Comput Hum Behav, 57, 321, 10.1016/j.chb.2015.12.045

Chen, 2008, University students’ internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation, Cyberpsychol Behav, 11, 467, 10.1089/cpb.2007.0128

Castagnetti, 2009, Effort allocation in tournaments: the effect of gender on academic performance in Italian universities, Econ Educ Rev, 28, 357, 10.1016/j.econedurev.2008.06.004

Huang, 2008, The Chinese version of ICIQ: a useful tool in clinical practice and research on urinary incontinence, Neurourol Urodyn, 27, 522, 10.1002/nau.20546

Reich, 2012, Friending, iMing, and hanging out face-to-face: overlap in adolescents’ online and offline social networks, Dev Psychol, 48, 356, 10.1037/a0026980

Edinger, 2004, Derivation of research diagnostic criteria for insomnia: report of an American Academy of Sleep Medicine work group, Sleep, 27, 1567, 10.1093/sleep/27.8.1567

Yildirim, 2015, Exploring the dimensions of nomophobia: development and validation of a self-reported questionnaire, Comput Hum Behav, 49, 130, 10.1016/j.chb.2015.02.059

Booth, 2001, The reliability and validity of the physical activity questions in the WHO health behaviour in schoolchildren (HSBC) survey: a population study, Br J Sports Med, 35, 263, 10.1136/bjsm.35.4.263

Wong, 2000, The relations among causality orientations, academic experience, academic performance, and academic commitment, Pers Soc Psychol Bull, 26, 315, 10.1177/0146167200265005

Norman, 1989, Issues in the use of change scores in randomized trials, J Clin Epidemiol, 42, 1097, 10.1016/0895-4356(89)90051-6

Demerouti, 2012, Work orientations in the job demands-resources model, J Manag Psychol, 27, 557, 10.1108/02683941211252428

Gefen, 2011, An update and extension to SEM guidelines for administrative and social science research, MIS Q, 35, 10.2307/23044042

Hulland, 2015, Use of partial least squares (PLS) in strategic management research: a review of four recent studies, Strateg Manag J, 20, 195, 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7

Hu, 1999, Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives, Struct Equ Model, 6, 1, 10.1080/10705519909540118

Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J Mark Res, 18, 39, 10.1177/002224378101800104

Fornell, 1982, Two structural equation models : LISREL and PLS applied to consumer exit-voice theory, J Mark Res, 19, 440, 10.1177/002224378201900406

Sugawara, 2014, Properties of AdeABC and AdeIJK efflux systems of Acinetobacter baumannii compared with those of the AcrAB-TolC system of Escherichia coli, Antimicrob Agents Chemother, 58, 7250, 10.1128/AAC.03728-14

Comrey, 1995, Career assessment and the Comrey personality scales, J Career Assess, 3, 140, 10.1177/106907279500300203

Petter, 2007, Specifying formative constructs in information systems research, MIS Q, 31, 623, 10.2307/25148814

Cenfetelli, 2009, Interpretation of formative measurement in information systems research, MIS Q, 33, 689, 10.2307/20650323

Hair, 1998

Falk, 1992, 2

Nitzl, 2016, Mediation analysis in partial least squares path modelling, helping researchers discuss more sophisticated models, Ind Manag Data Syst, 116, 1849, 10.1108/IMDS-07-2015-0302

Mackinnon, 1993, Estimating mediated effects in prevention studies, Eval Rev, 17, 144, 10.1177/0193841X9301700202

Preacher, 2011, Supplemental material for effect size measures for mediation models: quantitative strategies for communicating indirect effects, Psychol Methods, 16, 93, 10.1037/a0022658

Akingbola, 2019, Antecedents, consequences, and context of employee engagement in nonprofit organizations, Rev Public Pers Adm, 39, 46, 10.1177/0734371X16684910

Wen, 2015, Monotonicity of effect sizes: questioning kappa-squared as mediation effect size measure, Psychol Methods, 20, 193, 10.1037/met0000029

Ng, 2020, A quasi-experiment on using guided mobile learning interventions in ESL classrooms: time use and academic performance, Educ Inf Technol, 25, 4699, 10.1007/s10639-020-10191-7

Hershberger, 2010, Professionalism: self-control matters, Med Teach, 32, 36, 10.3109/01421590903199676

Lindner, 2017, A new perspective on the interplay between self-control and cognitive performance: modeling progressive depletion patterns, PLoS One, 12, 1, 10.1371/journal.pone.0180149

Bjerre-Nielsen, 2020, The negative effect of smartphone use on academic performance may be overestimated: evidence from a 2-year panel study, Psychol Sci, 31, 1351, 10.1177/0956797620956613

Verbeek, 2017

Ayandele, 2020, Addictive use of smartphone, depression and anxiety among female undergraduates in Nigeria: a cross-sectional study, J Health Res, 34, 443, 10.1108/JHR-10-2019-0225

Gill, 2012, Distraction: an assessment of smartphone usage in health care work settings, Risk Manag Healthc Policy, 5, 105, 10.2147/RMHP.S34813

Netz, 2005, Physical activity and psychological well-being in advanced age: a meta-analysis of intervention studies, Psychol Aging, 20, 272, 10.1037/0882-7974.20.2.272

Warburton, 2006, Health benefits of physical activity: the evidence, Can Med Assoc J, 174, 801, 10.1503/cmaj.051351

Pickett, 2012, Physical activity and depression: a multiple mediation analysis, Ment Health Phys Act, 5, 125, 10.1016/j.mhpa.2012.10.001

Parry, 2021, A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use, Nat Hum Behav, 5, 1535, 10.1038/s41562-021-01117-5

Baert, 2020, Smartphone use and academic performance: correlation or causal relationship?, Kyklos, 73, 22, 10.1111/kykl.12214

Kim, 2019, Association between high adolescent smartphone use and academic impairment, conflicts with family members or friends, and suicide attempts, PLoS One, 14, 1, 10.1371/journal.pone.0219831

Grant, 2019, Problematic smartphone use associated with greater alcohol consumption,mental health issues, poorer academic performance, and impulsivity, J Behav Addict, 8, 335, 10.1556/2006.8.2019.32

Winskel, 2019, Smartphone use and study behavior: a Korean and Australian comparison, Heliyon, 5, e02158, 10.1016/j.heliyon.2019.e02158

Demir, 2019, Effects of smartphone overuse on headache, sleep and quality of life in migraine patients, Neurosciences, 24, 115, 10.17712/nsj.2019.2.20180037

Elhai, 2018, Depression and social anxiety in relation to problematic smartphone use: the prominent role of rumination, Internet Res, 28, 315, 10.1108/IntR-01-2017-0019

Chung, 2018, Smartphone addiction risk and daytime sleepiness in Korean adolescents, J Paediatr Child Health, 54, 800, 10.1111/jpc.13901

Fırat, 2018, The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics, Psychiatry Res, 270, 97, 10.1016/j.psychres.2018.09.015