Abstract
Experiencing peer phubbing is likely to affect adolescents’ quality of life negatively. The current study adopted structural equation modeling to explore the relationship between peer phubbing, individual mental health (i.e., psychological distress), behavior problems (i.e., problematic smartphone use), and physical functioning (i.e., daytime sleepiness and subjective sleep quality). The total sample contained 742 children and adolescents (395 females; Mean age = 15.39, SD = 1.66, range = 12–19). The results indicated that peer phubbing, psychological distress, and problematic smartphone use were positively related to daytime sleepiness but negatively correlated with subjective sleep quality. When age and gender were controlled, the link between peer phubbing and daytime sleepiness/subjective sleep quality was mediated sequentially by psychological distress and problematic smartphone use and sequentially by problematic smartphone use and psychological distress. The direct effect of peer phubbing was significant on daytime sleepiness but not subjective sleep quality. These findings suggested that peer phubbing could cause psychological distress to children and adolescents, increase their problematic smartphone use and daytime sleepiness, and decrease their subjective sleep quality. Interventions for children and adolescents with daytime sleepiness or poor subjective sleep quality should pay attention to their problematic smartphone use and the phubbing from their peers.
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References
Bandura, A. (1977). Social learning theory. Englewood Cliffs, N.J.: Prentice Hall.
Brand, M., Wegmann, E., Stark, R., Muller, A., Wolfling, K., Robbins, T. W., & Potenza, M. N. (2019). The interaction of person-affect-cognition-execution (i-pace) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience Biobehavoral Review, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032.
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific internet-use disorders: an interaction of person-affect-cognition-execution (i-pace) model. Neuroscience and Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033.
Burgoon, J. K. (1993). Interpersonal expectations, expectancy violations, and emotional communication. Journal of Language and Social Psychology, 12(1–2), 30–48. https://doi.org/10.1177/0261927x93121003.
Capilla Garrido, E., Issa, T., Gutiérrez Esteban, P., & Cubo Delgado, S. (2021). A descriptive literature review of phubbing behaviors. Heliyon, 7(5), e07037. https://doi.org/10.1016/j.heliyon.2021.e07037.
Chen, I. H., Ahorsu, D. K., Pakpour, A. H., Griffiths, M. D., Lin, C. Y., & Chen, C. Y. (2020). Psychometric properties of three simplified chinese online-related addictive behavior instruments among mainland chinese primary school students. Frontiers in Psychiatry, 11, 875–875. https://doi.org/10.3389/fpsyt.2020.00875.
Chen, I. H., Pakpour, A. H., Leung, H., Potenza, M. N., Su, J. A., Lin, C. Y., & Griffiths, M. D. (2020). Comparing generalized and specific problematic smartphone/internet use: longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress. Journal of Behavioral Addictions, 9(2), 410–419. https://doi.org/10.1556/2006.2020.00023.
China Internet Network Information Center (2021). The 48th China statistical report on the internet development. https://n2.sinaimg.cn/finance/a2d36afe/20210827/FuJian1.pdf
Chotpitayasunondh, V., & Douglas, K. M. (2016). How “phubbing” becomes the norm: the antecedents and consequences of snubbing via smartphone. Computers in Human Behavior, 63, 9–18. https://doi.org/10.1016/j.chb.2016.05.018.
Chu, X., Ji, S., Wang, X., Yu, J., Chen, Y., & Lei, L. (2021). Peer phubbing and social networking site addiction: the mediating role of social anxiety and the moderating role of family financial difficulty. Frontiers in Psychology, 12, 670065. https://doi.org/10.3389/fpsyg.2021.670065.
Csibi, S., Griffiths, M. D., Cook, B., Demetrovics, Z., & Szabo, A. (2018). The psychometric properties of the smartphone application-based addiction scale (sabas). International Journal of Mental Health and Addiction, 16(2), 393–403. https://doi.org/10.1007/s11469-017-9787-2.
De-Sola Gutiérrez, J., de Fonseca, R., F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7. https://doi.org/10.3389/fpsyt.2016.00175
Delaruelle, K., Dierckens, M., Vandendriessche, A., Deforche, B., & Poppe, L. (2020). Adolescents’ sleep quality in relation to peer, family and school factors: findings from the 2017/2018 hbsc study in flanders. Quality of Life Research, 30(1), 55–65. https://doi.org/10.1007/s11136-020-02614-2.
Dewald, J. F., Meijer, A. M., Oort, F. J., Kerkhof, G. A., & Bögels, S. M. (2010). The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: a meta-analytic review. Sleep Medicine Reviews, 14(3), 179–189. https://doi.org/10.1016/j.smrv.2009.10.004.
Drapeau, A., Marchand, A., & Beaulieu-Prevost, D. (2012). Epidemiology of psychological distress. In Mental illnesses - understanding, prediction and control. InTech. https://doi.org/10.5772/30872
Fabris, M. A., Marengo, D., Longobardi, C., & Settanni, M. (2020). Investigating the links between fear of missing out, social media addiction, and emotional symptoms in adolescence: the role of stress associated with neglect and negative reactions on social media. Addictive Behaviors, 106, 106364. https://doi.org/10.1016/j.addbeh.2020.106364.
Gao, W., **, S., & Liu, X. (2020). Gender differences in depression, anxiety, and stress among college students: a longitudinal study from China. Journal of Affective Disorders, 263, 292–300. https://doi.org/10.1016/j.jad.2019.11.121.
Gariepy, G., Danna, S., Gobiņa, I., Rasmussen, M., Gaspar de Matos, M., Tynjälä, J., Janssen, I., Kalman, M., Villeruša, A., Husarova, D., Brooks, F., Elgar, F. J., Klavina-Makrecka, S., Šmigelskas, K., Gaspar, T., & Schnohr, C. (2020). How are adolescents slee**? Adolescent sleep patterns and sociodemographic differences in 24 european and north american countries. Journal of Adolescent Health, 66(6), S81–S88. https://doi.org/10.1016/j.jadohealth.2020.03.013.
Grandner, M. A. (2019). Social-ecological model of sleep health. In M. A. Grandner (Ed.), Sleep and health (pp. 45–53). Academic Press. https://doi.org/10.1016/B978-0-12-815373-4.00005-8
Grandner, M. A., & Fernandez, F. X. (2021). The translational neuroscience of sleep: a contextual framework. Science, 374(6567), 568–573. https://doi.org/10.1126/science.abj8188.
Hao, L., Liu, D., Yin, J., Lin, B., Zhang, X., & Jiang, Q. (2021). Peer phubbing and selfie liking: the roles of attention seeking and gender. Social Behavior and Personality, 49(7), 1–13. https://doi.org/10.2224/sbp.10468.
Hoffman, B. R., Monge, P. R., Chou, C. P., & Valente, T. W. (2007). Perceived peer influence and peer selection on adolescent smoking. Addictive Behaviors, 32(8), 1546–1554. https://doi.org/10.1016/j.addbeh.2006.11.016.
Jamieson, D., Beaudequin, D. A., McLoughlin, L. T., Parker, M. J., Lagopoulos, J., & Hermens, D. F. (2020). Associations between sleep quality and psychological distress in early adolescence. Journal of Child & Adolescent Mental Health, 32(2–3), 77–86. https://doi.org/10.2989/17280583.2020.1811288.
Jeong, S. H., Kim, H., Yum, J. Y., & Hwang, Y. (2016). What type of content are smartphone users addicted to?: Sns vs. Games. Computers in Human Behavior, 54, 10–17. https://doi.org/10.1016/j.chb.2015.07.035.
Jia, J., Tong, W., Zhang, J., Liu, F., & Fang, X. (2021). Trajectory of problematic internet use across the college years: the role of peer internet overuse behavior and peer attitude toward internet overuse. Journal of Adolescence, 86, 64–76. https://doi.org/10.1016/j.adolescence.2020.12.006.
Kang, Y., Liu, S., Yang, L., Xu, B., Lin, L., **e, L., Zhang, W., Zhang, J., & Zhang, B. (2020). 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. Frontiers in Psychiatry, 11. https://doi.org/10.3389/fpsyt.2020.00634
Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. https://doi.org/10.1016/j.chb.2013.10.059.
Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–93. https://doi.org/10.1080/02673843.2019.1590851.
Krystal, A. D., & Edinger, J. D. (2008). Measuring sleep quality. Sleep Medicine, 9, S10–S17. https://doi.org/10.1016/s1389-9457(08)70011-x.
Laberge, L., Gallais, B., Auclair, J., Dauvilliers, Y., Mathieu, J., & Gagnon, C. (2020). Predicting daytime sleepiness and fatigue: a 9-year prospective study in myotonic dystrophy type 1. Journal of Neurology, 267(2), 461–468. https://doi.org/10.1007/s00415-019-09592-7.
Lapierre, M. A., Zhao, P., & Custer, B. E. (2019). Short-term longitudinal relationships between smartphone use/dependency and psychological well-being among late adolescents. Journal of Adolescent Health, 65, 607–612. https://doi.org/10.1016/j.jadohealth.2019.06.001.
Li, B., Wang, P., **e, X., Chen, Y., Wang, W., Liu, C., Zhao, M., Zhu, M., & Mao, N. (2022). Father phubbing and adolescents’ depressive symptoms: Perceived father acceptance as a mediator and resilience as a moderator. The Journal of Psychology, 156(5), 349–366. https://doi.org/10.1080/00223980.2022.2044745.
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: exploring the question, weighing the merits. Structural equation modeling: a multidisciplinary journal, 9(2), 151–173. https://doi.org/10.1207/S15328007SEM0902_1.
Liu, N., Zhang, F., Wei, C., Jia, Y., Shang, Z., Sun, L., Wu, L., Sun, Z., Zhou, Y., Wang, Y., & Liu, W. (2020). Prevalence and predictors of ptss during covid-19 outbreak in China hardest-hit areas: gender differences matter. Psychiatry Research, 287, 112921. https://doi.org/10.1016/j.psychres.2020.112921.
Liu, S., Wing, Y. K., Hao, Y., Li, W., Zhang, J., & Zhang, B. (2018). The associations of long-time mobile phone use with sleep disturbances and mental distress in technical college students: a prospective cohort study. Sleep, 42(2), https://doi.org/10.1093/sleep/zsy213.
Liu, X. C., Yang, Y. Y., Liu, Z. Z., Chen, H., Fan, F., & Jia, C. X. (2017). Psychometric assessment of the chinese adolescent daytime sleepiness scale (cadss). Sleep and Biological Rhythms, 15(3), 207–216. https://doi.org/10.1007/s41105-017-0106-x.
Lo, K., Woo, B., Wong, M., & Tam, W. (2018). Subjective sleep quality, blood pressure, and hypertension: a meta-analysis. The Journal of Clinical Hypertension, 20(3), 592–605. https://doi.org/10.1111/jch.13220.
Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the depression, anxiety and stress scales (2nd ed.) Sydney, Australia. Psychological Foundation of Australia.
Matsumoto, Y., Kaneita, Y., Itani, O., Otsuka, Y., & Kinoshita, Y. (2022). Longitudinal epidemiological study of subjective sleep quality in japanese adolescents to investigate predictors of poor sleep quality. Sleep and Biological Rhythms, 20(1), 87–96. https://doi.org/10.1007/s41105-021-00343-8.
Niu, G., Yao, L., Wu, L., Tian, Y., Xu, L., & Sun, X. (2020). Parental phubbing and adolescent problematic mobile phone use: the role of parent-child relationship and self-control. Children and Youth Services Review, 116, 105247. https://doi.org/10.1016/j.childyouth.2020.105247.
Ohayon, M. M. (2008). From wakefulness to excessive sleepiness: what we know and still need to know. Sleep Medicine Reviews, 12(2), 129–141. https://doi.org/10.1016/j.smrv.2008.01.001.
Pancani, L., Gerosa, T., Gui, M., & Riva, P. (2020). “Mom, dad, look at me”: the development of the parental phubbing scale. Journal of Social and Personal Relationships, 38(2), 0265407520964866. https://doi.org/10.1177/0265407520964866.
Roberts, J. A., & David, M. E. (2016). My life has become a major distraction from my cell phone: Partner phubbing and relationship satisfaction among romantic partners. Computers in Human Behavior, 54, 134–141. https://doi.org/10.1016/j.chb.2015.07.058.
Roeser, R. W., Midgley, C., & Urdan, T. C. (1996). Perceptions of the school psychological environment and early adolescents’ psychological and behavioral functioning in school: the mediating role of goals and belonging. Journal of Educational Psychology, 88(3), 408–422. https://doi.org/10.1037/0022-0663.88.3.408.
Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: basic psychological needs in motivation, development, and wellness. New York: Guilford Press.
Sampasa-Kanyinga, H., Chaput, J. P., Hamilton, H. A., & Colman, I. (2018). Bullying involvement, psychological distress, and short sleep duration among adolescents. Social Psychiatry and Psychiatric Epidemiology, 53(12), 1371–1380. https://doi.org/10.1007/s00127-018-1590-2.
Semenza, D. C., Jackson, D. B., Testa, A., & Meldrum, R. C. (2020). Adolescent sleep problems and susceptibility to peer influence. Youth & Society, 54(2), 179–200. https://doi-org.ezproxy.cityu.edu.hk/10.1177/0044118X20969024.
Shanahan, L., Copeland, W. E., Angold, A., Bondy, C. L., & Costello, E. J. (2014). Sleep problems predict and are predicted by generalized anxiety/depression and oppositional defiant disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 53(5), 550-558. https://doi.org/10.1016/j.jaac.2013.12.029.
Shen, Y., Meng, F., Tan, S. N., Zhang, Y., Anderiescu, E. C., Abeysekera, R. E., Luo, X., & Zhang, X. Y. (2019). Excessive daytime sleepiness in medical students of hunan province: prevalence, correlates, and its relationship with suicidal behaviors. Journal of Affective Disorders, 255, 90–95. https://doi.org/10.1016/j.jad.2019.05.036.
Stanković, M., Nešić, M., Čičević, S., & Shi, Z. (2021). Association of smartphone use with depression, anxiety, stress, sleep quality, and internet addiction. Empirical evidence from a smartphone application. Personality and Individual Differences, 168, 110342. https://doi.org/10.1016/j.paid.2020.110342.
Su, S., Larsen, H., Cousijn, J., Wiers, R. W., & Van Den Eijnden, R. J. J. M. (2022). Problematic smartphone use and the quantity and quality of peer engagement among adolescents: a longitudinal study. Computers in Human Behavior, 126, 107025. https://doi.org/10.1016/j.chb.2021.107025.
Tomczyk, Ł., & Lizde, E. S. (2022). Nomophobia and phubbing: Wellbeing and new media education in the family among adolescents in bosnia and herzegovina. Children and Youth Services Review, 137, 106489. https://doi.org/10.1016/j.childyouth.2022.106489.
Tu, K. M., & Cai, T. (2020). Reciprocal associations between adolescent peer relationships and sleep. Sleep Health, 6(6), 743–748. https://doi.org/10.1016/j.sleh.2020.01.019.
van Geel, M., Goemans, A., & Vedder, P. H. (2016). The relation between peer victimization and slee** problems: a meta-analysis. Sleep Medicine Reviews, 27, 89–95. https://doi.org/10.1016/j.smrv.2015.05.004.
Wallace, M. L., Kissel, N., Hall, M. H., Germain, A., Matthews, K. A., Troxel, W. M., Franzen, P. L., Buysse, D. J., Reynolds, C. III, & Monk, T. (2022). Age trends in actigraphy and self-report sleep across the lifespan: findings from the pittsburgh lifespan sleep databank. Psychosomatic Medicine, 84(4), 410–420. https://doi.org/10.1097/PSY.0000000000001060.
Wang, L., Liu, Q., Heizhati, M., Yao, X., Luo, Q., & Li, N. (2020). Association between excessive daytime sleepiness and risk of cardiovascular disease and all-cause mortality: a systematic review and meta-analysis of longitudinal cohort studies. Journal of the American Medical Directors Association, 21(12), 1979–1985. https://doi.org/10.1016/j.jamda.2020.05.023.
Wang, Z., & Jiang, S. (2022). Influence of parental neglect on cyberbullying perpetration: Moderated mediation model of smartphone addiction and self-regulation. Health & Social Care in the Community, 00, 1–11. https://doi.org/10.1111/hsc.13787.
**e, X., Guo, Q., & Wang, P. (2021). Childhood parental neglect and adolescent internet gaming disorder: from the perspective of a distal—proximal—process—outcome model. Children and Youth Services Review, 120, https://doi.org/10.1016/j.childyouth.2020.105564.
**e, X., & **e, J. (2020). Parental phubbing accelerates depression in late childhood and adolescence: a two-path model. Journal of Adolescence, 78, 43–52. https://doi.org/10.1016/j.adolescence.2019.12.004.
Yang, J., Fu, X., Liao, X., & Li, Y. (2020). Association of problematic smartphone use with poor sleep quality, depression, and anxiety: a systematic review and meta-analysis. Psychiatry Research, 284, 112686. https://doi.org/10.1016/j.psychres.2019.112686.
Yuan, G., Elhai, J. D., & Hall, B. J. (2021). The influence of depressive symptoms and fear of missing out on severity of problematic smartphone use and internet gaming disorder among chinese young adults: a three-wave mediation model. Addictive Behaviors, 112, 106648. https://doi.org/10.1016/j.addbeh.2020.106648.
Yun, C. H., Kim, H., Lee, S. K., Suh, S., Lee, S. H., Park, S. H., Thomas, R. J., Au, R., & Shin, C. (2015). Daytime sleepiness associated with poor sustained attention in middle and late adulthood. Sleep Medicine, 16(1), 143–151. https://doi.org/10.1016/j.sleep.2014.07.028.
Zeringue, M. M., Erath, S. A., & El-Sheikh, M. (2021). Exposure to peer aggression and adolescent sleep problems: moderation by parental acceptance. Journal of Family Psychology, 35(7), 897–905. https://doi.org/10.1037/fam0000713.
Zhang, J., Zhang, X., Zhang, K., Lu, X., Yuan, G., Yang, H., Guo, H., Zhu, Z., Wang, T., Hao, J., Sun, Y., Su, P., Yang, L., & Zhang, Z. (2022). An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder. Journal of Affective Disorders, 305, 94–101. https://doi.org/10.1016/j.jad.2022.02.008.
Zhang, Y., Ding, Q., & Wang, Z. (2021). Why parental phubbing is at risk for adolescent mobile phone addiction: a serial mediating model. Children and Youth Services Review, 121. https://doi.org/10.1016/j.childyouth.2020.105873.
Zhao, J., Ye, B., & Li, Y. (2021). Peer phubbing and chinese college students’ smartphone addiction during covid-19 pandemic: the mediating role of boredom proneness and the moderating role of refusal self-efficacy. Psychology Research and Behavior Management, 14, 1725–1736. https://doi.org/10.2147/PRBM.S335407.
Zhao, J., Ye, B., & Yu, L. (2021). Peer phubbing and chinese college students’ smartphone addiction during covid-19 pandemic: the mediating role of boredom proneness and the moderating role of refusal self-efficacy. Psychological Research and Behavioral Management, 14, 1725–1736. https://doi.org/10.2147/prbm.S335407.
Zhou, H., Dang, L., Lam, L. W., Zhang, M. X., & Wu, A. M. S. (2021). A cross-lagged panel model for testing the bidirectional relationship between depression and smartphone addiction and the influences of maladaptive metacognition on them in chinese adolescents. Addictive Behaviors, 120, 106978. https://doi.org/10.1016/j.addbeh.2021.106978.
Zou, P., Wang, X., Sun, L., Liu, K., Hou, G., Yang, W., Liu, C., Yang, H., Zhou, N., Zhang, G., Ling, X., Liu, J., Cao, J., Ao, L., & Chen, Q. (2020). Poorer sleep quality correlated with mental health problems in college students: a longitudinal observational study among 686 males. Journal of Psychosomatic Research, 136, 110177. https://doi.org/10.1016/j.jpsychores.2020.110177.
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The authors would like to thank teachers and students of Dongxi Secondary School in Chongqing, China for their assistance in collecting the data.
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Yumei Li: Conceptualization, Methodology, Investigation, Data curation, Formal analysis, Visualization, Writing - original draft, Writing - Review & Editing, Project administration.
Wenlong Mu: Writing - original draft, Writing - Review & Editing.
Chaoran Sun: Writing - original draft, Writing - Review & Editing.
Sylvia Y.C.L. Kwok: Writing - Review & Editing, Supervision, Project administration.
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Li, Y., Mu, W., Sun, C. et al. Surrounded by Smartphones: Relationship Between Peer Phubbing, Psychological Distress, Problematic Smartphone use, Daytime Sleepiness, and Subjective Sleep Quality. Applied Research Quality Life 18, 1099–1114 (2023). https://doi.org/10.1007/s11482-022-10136-x
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DOI: https://doi.org/10.1007/s11482-022-10136-x