The Effect of Impulsivity on Phubbing: Perceived Stress and Online Vigilance as Mediators

Authors

DOI:

https://doi.org/10.46328/ijres.7152

Keywords:

Phubbing, Impulsivity, Online vigilance, Stress, Self-control

Abstract

Phubbing refers to the act of ignoring someone in a social environment by focusing on a smartphone rather than engaging in conversation. This behavior can negatively influence the quality of interpersonal relationships, relationship satisfaction, and feelings of well-being. The purpose of this study was to examine the mediating role of stress and online vigilance in the relationship between impulsivity and phubbing. The research data were obtained from 403 university students using the scales of self-control, perceived stress, online vigilance and phubbing. All the analyses were conducted using JASP, a program based on R software. The results of the study revealed that impulsivity predicts phubbing and that three indirect pathways existed: separate mediated effect of stress, separate mediated effect of online vigilance, and serial mediated effect of stress and online vigilance. This research provides valuable insights into the psychological structures associated with phubbing, as well as the potential mediating variables that may explain these relationships.

References

Abraham, M. A. (2024). Automation or autonomy? The relatedness of online vigilance, self-control and intrinsic need satisfaction to compulsive Internet use. Retrieved October 15, 2024, from https://europepmc.org/article/ppr/ppr804278#full-text-links

Ansell, E. B., Gu, P., Tuit, K., & Sinha, R. (2012). Effects of cumulative stress and impulsivity on smoking status. Human Psychopharmacology, 27(2), 200–208. https://doi.org/10.1002/hup.1269

Balta, S., Emirtekin, E., Kircaburun, K., & Griffiths, M. D. (2020). Neuroticism, trait fear of missing out, and phubbing: The mediating role of state fear of missing out and problematic Instagram use. International Journal of Mental Health and Addiction, 18, 628–639.

Benvenuti, M., Błachnio, A., Przepiorka, A. M., Daskalova, V. M., & Mazzoni, E. (2020). Factors related to phone snubbing behavior in emerging adults: The phubbing phenomenon. In M. Desjarlais (Ed.), The Psychology and Dynamics Behind Social Media Interactions (pp. 164-187). IGI Global.

Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8(4), 299-307.

Billieux, J., Van der Linden, M., & Rochat, L. (2008). The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 22(9), 1195–1210.

Billieux, J., Van der Linden, M., d'Acremont, M., Ceschi, G., & Zermatten, A. (2007). Does impulsivity relate to perceived dependence on and actual use of the mobile phone?. Applied cognitive psychology, 21(4), 527–537.

Bitar, Z., Akel, M., Salameh, P., Obeid, S., & Hallit, S. (2023). Phubbing among Lebanese young adults: Scale validation and association with mental health (depression, anxiety, and stress). Current Psychology, 42(23), 19709–19720.

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 & Biobehavioral Reviews, 71, 252-266.

Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, 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 & Biobehavioral Reviews, 104, 1-10.

Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In K.A. Bollen & J.S. Long (Eds.), Testing Structural Equation Models (pp. 136-162). Sage.

Canale, N., Vieno, A., Doro, M., Rosa Mineo, E., Marino, C., & Billieux, J. (2019). Emotion-related impulsivity moderates the cognitive interference effect of smartphone availability on working memory. Scientific reports, 9(1), 18519.

Chiu, S. I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49–57.

Cho, H. Y., Kim, D. J., & Park, J. W. (2017). Stress and adult smartphone addiction: Mediation by self‐control, neuroticism, and extraversion. Stress and Health, 33(5), 624–630.

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.

Chotpitayasunondh, V., & Douglas, K. M. (2018b). Measuring phone snubbing behavior: Development and validation of the Generic Scale of Phubbing (GSP) and the Generic Scale of Being Phubbed (GSBP). Computers in Human Behavior, 88, 5–17.

Chotpitayasunondh, V., & Douglas, K. M. (2018a). The effects of “phubbing” on social interaction. Journal of Applied Social Psychology, 48(6), 304–316.

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.

Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98-104. doi:10.1037/0021-9010.78.1.98

Courtemanche, A. B., Brewer, A. T., Hauslaib, S., Diller, J., Giamanco, A., & Lafortune, A. (2024). An Evaluation of Daily Perceived Stress and Impulsive Decision Making: A Pilot Study. The Psychological Record, 74(1), 145–149.

Cudeck, R., & Browne, M. W. (1983). Cross-validation of covariance structures. Multivariate Behavioral Research, 18(2), 147–167. doi:10.1207/s15327906mbr1802_2

Davey, S., Davey, A., Raghav, S. K., Singh, J. V., Singh, N., Blachnio, A., & Przepiórkaa, A. (2018). Predictors and consequences of “Phubbing” among adolescents and youth in India: An impact evaluation study. Journal of Family and Community Medicine, 25(1), 35–42.

Dawe, S., Gullo, M. J., & Loxton, N. J. (2004). Reward drive and rash impulsiveness as dimensions of impulsivity: Implications for substance misuse. Addictive Behaviors, 29(7), 1389–1405. doi:10.1016/j.addbeh.2004.06.004

DeVellis, R. F. (2017). Scale Development: Theory and Applications (4th ed.). Thousand Oaks, CA: Sage.

Duradoni, M., Raimondi, T., Buttà, F., & Guazzini, A. (2023). Moving beyond an addiction framework for phubbing: Unraveling the influence of intrinsic motivation, boredom, and online vigilance. Human Behavior and Emerging Technologies, 2023(1), 6653652.

Eskin, M., Harlak, H., Demirkıran, F., & Dereboy, Ç. (2013). Algılanan stres ölçeğinin Türkçeye uyarlanması: güvenirlik ve geçerlik analizi. New/Yeni Symposium Journal, 51(3), 132–140.

Fields, S. A., Lange, K., Ramos, A., Thamotharan, S., & Rassu, F. (2014). The relationship between stress and delay discounting: a meta-analytic review. Behavioural pharmacology, 25(5 and 6), 434–444.

Freytag, A., Knop-Huelss, K., Meier, A., Reinecke, L., Hefner, D., Klimmt, C., & Vorderer, P. (2021). Permanently online—always stressed out? The effects of permanent connectedness on stress experiences. Human Communication Research, 47(2), 132–165.

Garson, G.D. (2006). Structural Equation Modelling. North Carolina: G. David Garson and Statistical Associates Publishing.

Gorsuch, R. L. (2015). Factor Analysis. Routledge.

Göksün, D. O. (2019). Sosyotelist olma ve sosyotelizme maruz kalma ölçeklerinin Türkçeye uyarlanması. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 21(3), 657–671.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Sage.

Hamilton, K. R., Ansell, E. B., Reynolds, B., Potenza, M. N., & Sinha, R. (2013). Self-reported impulsivity, but not behavioral choice or response impulsivity, partially mediates the effect of stress on drinking behavior. Stress, 16(1), 3–15. https://doi.org/10.3109/10253890.2012.671397

Hefner, D., & Freytag, A. (2024). Consciously connected: the role of mindfulness for mobile phone connectedness and stress. Media Psychology, 27(4), 503–532.

Jamadi, A., RajabipoorMeybodi, A.R., Hosseini, E., & Doaei, Z.S. (2023). Identifying the antecedents and consequences of phubbing. International Journal of Human Capital in Urban Management, 8(4), 515–528. Doi: 10.22034/IJHCUM.2023.04.06

Johannes, N., Meier, A., Reinecke, L., Ehlert, S., Setiawan, D. N., Walasek, N., ...Veling, H. (2020). The relationship between online vigilance and affective well-being in everyday life: Combining smartphone logging with experience sampling. Media Psychology, 1–25.

Karadağ, E., Tosuntaş, Ş. B., Erzen, E., Duru, P., Bostan, N., Şahin, B. M., Çulha, İ., & Babadağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model. Journal of Behavioral Addictions, 4(2), 60–74.

Karakoyun, F. (2021). Çevrimiçi tetikte olma ölçeğinin Türkçe'ye uyarlanması. Eğitim Teknolojisi Kuram ve Uygulama, 11(2), 358–374.

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.

Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509–523.

Kim, Y., Jeong, J. E., Cho, H., Jung, D. J., Kwak, M., Rho, M. J., & Choi, I. Y. (2016). Personality factors predicting smartphone addiction predisposition: Behavioral inhibition and activation systems, impulsivity, and self-control. PLOS ONE, 11(8), e0159788.

Kline, R. B. (2015). Principles and Practice of Structural Equation Modelling. Guilford Publications.

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.

Leung, L. (2007). Stressful life events, motives for Internet use, and social support among digital kids. CyberPsychology & Behavior, 10(2), 204–214.

Lewin, K. M., Kaur, A., & Meshi, D. (2023). Problematic social media use and impulsivity. Current Addiction Reports, 10(3), 553–562.

Li, Y. X., Zhang, Y. H., Yang, R., Lian, S. L., Yan, L., & Zhu, X. M. (2023). Relationship between perceived social norms and phubbing: individual control and fear of missing out as mediators. International Journal of Mental Health and Addiction, 21(3), 1898–1913.

Li, Y., Li, G., Liu, L., & Wu, H. (2020). Correlations between mobile phone addiction and anxiety, depression, impulsivity, and poor sleep quality among college students: A systematic review and meta-analysis. Journal of Behavioral Addictions, 9(3), 551–571.

Liu, Y., Gao, Q., Ma, L. (2021). Taking Micro-breaks at work: Effects of watching funny short-form videos on subjective experience, physiological stress, and task performance. In: Rau, PL.P. (eds), Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development. HCII 2021. Lecture Notes in Computer Science, vol 12772. Springer.

Lv, S., & Wang, H. (2023). The Effect of College Students’ Boredom Proneness on Phubbing: The Chain‐Mediating Effects of Fear of Missing Out and Online Vigilance. Perspectives in Psychiatric Care, 2023(1): 9713789.

Maftei, A., & Măirean, C. (2024). Keep talking, I need to check my phone! Online vigilance and phubbing: The role of loneliness and moral disengagement. Ethics & Behavior, 34(6), 410–424.

Mcdaniel, B. T., Galovan, A. M., Cravens, J. D., & Drouin, M. (2018). “Technoference” and implications for mothers’ and fathers’ couple and coparenting relationship quality. Computers in Human Behavior, 80, 303–313.

Mehrotra, A., Pejovic, V., Vermeulen, J., Hendley, R., & Musolesi, M. (2016, May). My phone and me: understanding people's receptivity to mobile notifications. In Proceedings of the 2016 CHI conference on human factors in computing systems (pp. 1021-1032).

Moeller, F. G., Barratt, E. S., Dougherty, D. M., Schmitz, J. M., & Swann, A. C. (2001). Psychiatric aspects of impulsivity. American Journal of Psychiatry, 158(11), 1783–1793.

Nebioglu, M., Konuk, N., Akbaba, S., & Eroglu, Y. (2012). The investigation of validity and reliability of the Turkish version of the Brief Self-Control Scale. Klinik Psikofarmakoloji Bülteni-Bulletin of Clinical Psychopharmacology, 22(4), 340–351.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). New York: McGraw-Hill.

Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105–114.

Petkovski, M., Rosen, C., Lehmann, N., Baune, L., Steinrücke, J., & Dominguez-Rodriguez, A. (2025). The relationships between online vigilance, mental health, stress, and fear of missing out: A cross-sectional study. Acta Psychologica, 260, 105577.

Raykov, T. (1997). Scale reliability, Cronbach's coefficient alpha, and violations of essential tau-equivalence with fixed congeneric components. Multivariate Behavioral Research, 32(4), 329–353. doi:10.1207/s15327906mbr3204_2

Reinecke, L., Klimmt, C., Meier, A., Reich, S., Hefner, D., Knop-Huelss, …Vorderer, P. (2018). Permanently online and permanently connected: Development and validation of the Online Vigilance Scale. PLOS ONE, 13(10): e0205384.

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, 34–141. doi:10.1016/j.chb.2015.07.058

Roberts, J. A., Pullig, C., & Manolis, C. (2015). I need my smartphone: A hierarchical model of personality and cell-phone addiction. Personality and Individual Differences, 79, 13–19.

Schneider, F. M., & Hitzfeld, S. (2021). I ought to put down that phone but I phub nevertheless: Examining the predictors of phubbing behavior. Social Science Computer Review, 39(6), 1075–1088.

Seldin, K., Lengua, L. J., & King, K. M. (2023). The relation between stress and impulsivity during the first year of college. Journal of Personality, 91(5), 1189–1206.

Snodgrass, J. G., Lacy, M. G., Dengah II, H. F., Eisenhauer, S., Batchelder, G., & Cookson, R. J. (2014). A vacation from your mind: Problematic online gaming is a stress response. Computers in Human Behavior, 38, 248–260.

Stieger, S., Schmid, I., Altenburger, P., & Lewetz, D. (2023). Short-, medium-, and long-term impact of watching humorous video clips on stress and well-being: An experience sampling method-based field experiment. Computers in Human Behavior Reports, 10, 100270.

Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8(3), 220-247.

Tangney, J.P., Baumeister, R.F., Boone, A.L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72(2), 271–324.

Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books

Van Deursen, A. J., Bolle, C. L., Hegner, S. M., & Kommers, P. A. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411–420.

Verduyn, P., Ybarra, O., Résibois, M., Jonides, J., & Kross, E. (2017). Do social network sites enhance or undermine subjective well‐being? A critical review. Social Issues and Policy Review, 11(1), 274–302.

Vorderer, P., Hefner, D., Reinecke, L., & Klimmt, C. (2018). Permanently online and permanently connected: A new paradigm in communication research?. In P. Vorderer, D. Hefner, L. Reinecke, & C. Klimmt (Eds.), Permanently Online, Permanently Connected: Living and Communicating in a POPC World (pp. 3-9). Routledge.

Vorderer, P., Krömer, N., & Schneider, F. M. (2016). Permanently online–Permanently connected: Explorations into university students’ use of social media and mobile smart devices. Computers in Human Behavior, 63, 694–703.

Wang, J. L., Wang, H. Z., Gaskin, J., & Wang, L. H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181–188.

Whiteside, S. P., & Lynam, D. R. (2001). The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and individual differences, 30(4), 669–689.

Wickord, L. C., & Quaiser-Pohl, C. M. (2022). Does the type of smartphone usage behavior influence problematic smartphone use and the related stress perception?. Behavioral Sciences, 12(4), 99.

Yang, H., Liu, B., & Fang, J. (2021). Stress and problematic smartphone use severity: Smartphone use frequency and fear of missing out as mediators. Front Psychiatry, 12, 659288. doi:10.3389/fpsyt.2021.659288

Zahra, R., Iqbal, H. M. Z., & Javaid, I. (2024). Impact of Phubbing on cognitive abilities among impulsive individuals in work settings. Annals of Human and Social Sciences, 5(3), 54-62.

Zahrai, K., Veer, E., Ballantine, P. W., de Vries, H. P., & Prayag, G. (2022). Either you control social media or social media controls you: Understanding the impact of self‐control on excessive social media use from the dual‐system perspective. Journal of Consumer Affairs, 56(2), 806–848.

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2026-03-01

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The Effect of Impulsivity on Phubbing: Perceived Stress and Online Vigilance as Mediators. (2026). International Journal of Research in Education and Science, 12(2), 346-364. https://doi.org/10.46328/ijres.7152