Abstract
Extant research suggests that digital stress (DS) and its various components (Hall et al. in Psychol Assess 33(3):230–242, 2021) may mediate the association between social media use and psychosocial distress among adolescents and young adults. Yet no systematic review and meta-analysis has been conducted to examine the direct associations among DS components (i.e., approval anxiety, availability stress, fear of missing out [FOMO], connection overload, and online vigilance) and psychological outcomes. Thus, we aimed to comprehensively synthesize and quantify the association between these five DS components and psychosocial distress, and to examine whether these associations were statistically different from one another. Our search of PubMed, PsycINFO, and Communication and Mass Media Complete yielded a wide range of article abstracts across the five DS components. After reviewing inclusion and exclusion criteria, 7, 73, 60, 19, and 16 studies were included for availability stress, approval anxiety, FOMO, connection overload, and online vigilance, respectively. The results suggested that all five digital stress components had significant medium association with psychosocial distress (r = .26 to .34; p < .001). Age and sex did not significantly moderate the association between most digital stress components and psychosocial distress. However, age moderated the association between connection overload and psychosocial distress. Our findings further suggested no statistical differences among the associations between the five digital stress components and psychosocial distress. Notwithstanding its limitations, our outcomes help integrate the disparate effect sizes in the literature, indicate the strength of associations, and suggest directions for clinical intervention and future research.
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Notes
Notably, there is a substantial difference in the summary effect sizes between primary and secondary aim for connection overload and online vigilance. For connection overload there was a .04 decrease in effect size between the primary and secondary aim and for online vigilance there was a .07 increase. Since we excluded three studies for connection overload and two for online vigilance to protect the statistical power of availability stress, it can be inferred that the excluded studies were substantially influencing the effect size for these factors.
References
Aguinis, H., Beaty, J. C., Boik, R. J., & Pierce, C. A. (2005). Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review. Journal of Applied Psychology, 90(1), 94–107. https://doi.org/10.1037/0021-9010.90.1.94
American Psychological Association (APA). (2017). Multicultural Guidelines: An ecological approach to context, identity, and intersectionality. Retrieved from http://www.apa.org/about/policy/multicultural-guidelines.pdf
Baker, Z. G., Krieger, H., & LeRoy, A. S. (2016). Fear of missing out: Relationships with depression mindfulness and physical symptoms. Translational Issues in Psychological Science, 2(3), 275–282. https://doi.org/10.1037/tps0000075
Baron, N. (2008). Always on: Language in an online and mobile world. Oxford University Press.
Barry, C. T., Sidoti, C. L., Briggs, S. M., Reiter, S. R., & Lindsey, R. A. (2017). Adolescent social media use and mental health from adolescent and parent perspectives. Journal of Adolescence, 61, 1–11. https://doi.org/10.1016/j.adolescence.2017.08.005
Baym, N. K. (2015). Social media and the struggle for society. Social Media + Society. https://doi.org/10.1177/2056305115580477
Beck, A. T., Steer, R. A., & Brown, G. K. (1987). Beck depression inventory. Harcourt Brace Jovanovich.
Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: A systematic narrative review. Children and Youth Services Review, 41, 27–36. https://doi.org/10.1016/j.childyouth.2014.03.001
Bevan, J., Pfyl, J., & Barclay, B. (2012). Negative emotional and cognitive responses to being unfriended on Facebook: An exploratory study. Computers in Human Behavior, 28(4), 1458–1464. https://doi.org/10.1016/j.chb.2012.03.008
Beyens, I., Frison, E., & Eggermont, S. (2016). “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1–8. https://doi.org/10.1016/j.chb.2016.05.083
Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155. https://doi.org/10.1016/j.chb.2014.11.048
Brod, C. (1984). Technostress: The human cost of the computer revolution. Addison-Wesley.
Brooks, S., & Longstreet, P. (2015). Social networking’s peril: Cognitive absorption, social networking usage, and depression. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 9(4), 5. https://doi.org/10.5817/CP2015-4-5
Campisi, J., Bynog, P., McGehee, H., Oakland, J. C., Quirk, S., Taga, C., et al. (2012). Facebook, stress, and incidence of upper respiratory infection in undergraduate college students. Cyberpsychology, Behavior, and Social Networking, 15(12), 675–681. https://doi.org/10.1089/cyber.2012.0156
Card, N. A. (2015). Applied meta-analysis for social science research. Guilford Publications.
Chen, W., & Lee, K. H. (2013). Sharing, liking, commenting, and distressed? The pathway between Facebook interaction and psychological distress. Cyberpsychology, Behavior, and Social Networking, 16(10), 728–734. https://doi.org/10.1089/cyber.2012.0272
Choi, J. (2022). Do Facebook and Instagram differ in their influence on life satisfaction? A study of college men and women in South Korea. Cyberpsychology Journal of Psychosocial Research on Cyberspace, 16(1), 2. https://doi.org/10.5817/CP2022-1-2
Chorpita, B. F., Yim, L., Moffitt, C., Umemoto, L. A., & Francis, S. E. (2000). Assessment of symptoms of DSM-IV anxiety and depression in children: A revised child anxiety and depression scale. Behaviour Research and Therapy, 38(8), 835–855. https://doi.org/10.1016/S0005-7967(99)00130-8
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Erlbaum.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.
Course-Choi, J., & Hammond, L. (2021). Social media use and adolescent wellbeing: A narrative review of longitudinal studies. Cyberpsychology, Behavior, and Social Networking, 24(4), 223–236. https://doi.org/10.1089/cyber.2020.0020
David, M. E., & Roberts, J. A. (2017). Phubbed and alone: Phone snubbing, social exclusion, and attachment to social media. Journal of the Association for Consumer Research, 2(2), 155–163. https://doi.org/10.1086/690940
Demirtepe-Saygılı, D., & Metin-Orta, I. (2021). An investigation of cyberloafing in relation to coping styles and psychological symptoms in an educational setting. Psychological Reports, 124(4), 1559–1587. https://doi.org/10.1177/00332941209502
Digital Information World. (2020). Study reveals parents’ top concerns about social media. (2020). Web Desk. Retrieved from https://www.digitalinformationworld.com/2020/09/58-percent-of-parents-think-social-media-has-a-net-negative-effect-on-their-teens.html
Durlak, J. A. (2009). How to select, calculate, and interpret effect sizes. Journal of Pediatric Psychology, 34(9), 917–928. https://doi.org/10.1093/jpepsy/jsp004
Elhai, J., Levine, J., Dvorak, R., & Hall, B. (2016). Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Computers in Human Behavior, 63, 509–516. https://doi.org/10.1016/j.addbeh.2019.04.020
Feinstein, B., Hershenberg, R., Bhatia, V., Latack, J., Meuwly, N., & Davila, J. (2013). Negative social comparison on Facebook and depressive symptoms: Rumination as a mechanism. Psychology of Popular Media Culture, 2(3), 161–170. https://doi.org/10.1037/a0033111
Fox, J., & Moreland, J. J. (2015). The dark side of social networking sies: An exploration of the relational and psychological stressors associated with Facebook use and affordances. Computers in Human Behavior, 45(11), 168–176. https://doi.org/10.1016/j.chb.2014.11.083
Frison, E., & Eggermont, S. (2016). “Harder, better, faster, stronger”: Negative comparison on Facebook and Adolescents’ life satisfaction are reciprocally related. Cyberpsychology, Behavior, and Social Networking, 19(3), 158–164. https://doi.org/10.1089/cyber.2015.0296
Gibbons, F. X., & Buunk, B. P. (1999). Individual differences in social comparison:Development of a scale of social comparison orientation. Journal of Personality and Social Psychology, 76(1), 129–142. https://doi.org/10.1037//0022-3514.76.1.129
Halfmann, A., & Rieger, D. (2019). Permanently on call: The effects of social pressure on smartphone users’ self-control, need satisfaction, and wellbeing. Journal of Computer-Mediated Communication, 24(4), 165–181. https://doi.org/10.1093/jcmc/zmz008
Hall, J. (2017). The experience of mobile entrapment in daily life. Journal of Media Psychology: Theories, Methods, and Applications, 29(3), 148–158. https://doi.org/10.1027/1864-1105/a000228
Hall, J. A., & Baym, N. K. (2012). Calling and texting (too much): Mobile maintenance expectations, (over)dependence, entrapment, and friendship satisfaction. New Media & Society, 14, 316–331. https://doi.org/10.1177/1461444811415047
Hall, J. A., Steele, R. G., Christofferson, J. L., & Mihailova, T. (2021). Development and initial evaluation of a multidimensional digital stress scale. Psychological Assessment, 33(3), 230–242. https://doi.org/10.1037/pas0000979
Hamilton, J. L., Nesi, J., & Choukas-Bradley, S. (2022). Reexamining social media and socioemotional well-being among adolescents through the lens of the COVID-19 pandemic: A theoretical review and directions for future research. Perspectives on Psychological Science, 17(3), 662–679. https://doi.org/10.1177/17456916211014189
Hancock, I., Liu, S. X., French, M., Luo, M., & Mieczkowski, H. (2019). Social media use and wellbeing: A meta-analysis. 69th Annual International Communication Association Conference, Washington
Harrigan, M. M., Benz, I., Hauck, C., LaRocca, E., Renders, R., & Roney, S. (2021). The dialectical experience of the fear of missing out for US American iGen emerging adult college students. Journal of Applied Communication Research, 49(4), 424–440. https://doi.org/10.1080/00909882.2021.1898656
Hefner, C. Z. D., & Vorderer, P. (2016). Digital stress: Permanent connectedness and multitasking. In L. Reinecke & M.-B. Oliver (Eds.), Handbook of media use and wellbeing (pp. 23–249). Routledge.
Huang, C. (2017). Time spent on social network sites and psychological wellbeing: A meta-analysis. Cyberpsychology, Behavior, and Social Networking, 20(6), 346–354. https://doi.org/10.1089/cyber.2016.0758
Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751–768. https://doi.org/10.1521/jscp.2018.37.10.751
Johannes, N., Veling, H., Dora, J., Meier, A., Reinecke, L., & Buijzen, M. (2018). Mind-wandering and mindfulness as mediators of the relationship between online vigilance and well-being. Cyberpsychology, Behavior, and Social Networking, 21(12), 761–767. https://doi.org/10.1089/cyber.2018.0373
Junco, R. (2013). Comparing actual and self-reported measures of Facebook use. Computers in Human Behavior, 29(3), 626–631. https://doi.org/10.1016/j.chb.2012.11.007
Kamal, N., Rabbani, S., Samdani, H., Shujaat, S., & Ahmad, M. (2020). Social media usage, overload and exhaustion: A performance perspective. International Review of Management and Marketing, 10(5), 19–26. https://doi.org/10.32479/irmm.10190
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
Kim, H. W., Chan, H. C., & Gupta, S. (2015). Social media for business and society. Asia Pacific Journal of Information Systems, 25(2), 329–336.
Kim, J., & Lee, J. E. R. (2011). The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being. CyberPsychology, Behavior, and Social Networking, 14(6), 359–364. https://doi.org/10.1089/cyber.2010.0374
King, D. L., Billieux, J., Mueller, K., & Delfabbro, P. H. (2022). Clinical interventions for technology-based problems. In Mental health in a digital world (pp. 435–457). https://doi.org/10.1016/B978-0-12-822201-0.00016-2
Kneidinger-Müller, B. (2017). Mobile communication as invader in face-to-face interactions: An analysis of predictors for parallel communication habits. Computers in Human Behavior, 73, 328–335. https://doi.org/10.1016/j.chb.2017.03.055
Krasnova, H., Widjaja, T., Buxmann, P., Wenninger, H., & Benbasat, I. (2015). Research note—why following friends can hurt you: An exploratory investigation of the effects of envy on social networking sites among college-age users. Information Systems Research, 26(3), 585–605. https://doi.org/10.1287/isre.2015.0588
Lampel, J., & Bhalla, A. (2007). The role of status seeking in online communities: Giving the gift of experience. Journal of Computer-Mediated Communication, 12(2), 434–455. https://doi.org/10.1111/j.1083-6101.2007.00332.x
LaRose, R., Connolly, R., Lee, H., Li, K., & Hales, K. D. (2014). Connection overload? A cross cultural study of the consequences of social media connection. Information Systems Management, 31(1), 59–73. https://doi.org/10.1080/10580530.2014.854097
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.
Lee, H., Connolly, R., Li, K. Hales, K., & LaRose, R. (2013). Impacts of social media connection demands: A study of Irish college students. America’s Conference on Information Systems (AMCIS) 2013 Proceedings. Retrieved from https://aisel.aisnet.org/amcis2013/SocialTechnicalIssues/GeneralPresentations/6/
Lee, D. S., Jiang, T., Crocker, J., & Way, B. M. (2022). Social media use and its link to physical health indicators. Cyberpsychology, Behavior, and Social Networking, 25(2), 87–93. https://doi.org/10.1089/cyber.2021.0188
Li, J.-B., Mo, P. K., Lau, J. T., Su, X.-F., Zhang, X., Wu, A. M., Mai, J.-C., & Chen, Y.-X. (2018). Online social networking addiction and depression: The results from a large-scale prospective cohort study in Chinese adolescents. Journal of Behavioral Addictions, 7(3), 686–696. https://doi.org/10.1556/2006.7.2018.69
Li, J., Qi, J., Wu, L., Shi, N., Li, X., Zhang, Y., & Zheng, Y. (2021). The continued use of social commerce platforms and psychological anxiety—the roles of influencers, informational incentives and FOMO. International Journal of Environmental Research and Public Health, 18(22), 12254. https://doi.org/10.3390/ijerph182212254
Lo, J. (2019). Exploring the buffer effect of receiving social support on lonely and emotionally unstable social networking users. Computers in Human Behavior, 90, 103–116. https://doi.org/10.1016/j.chb.2018.08.052
Lupinacci, L. (2021). ‘Absentmindedly scrolling through nothing’: Liveness and compulsory continuous connectedness in social media. Media, Culture & Society, 43(2), 273–290. https://doi.org/10.1177/0163443720939454
Mai, L. M., Freudenthaler, R., Schneider, F. M., & Vorderer, P. (2015). “I know you’ve seen it!” Individual and social factors for users’ chatting behavior on Facebook. Computers in Human Behavior, 49, 296–302. https://doi.org/10.1016/j.chb.2015.01.074
Marciano, L., Ostroumova, M., Schulz, P. J., & Camerini, A. L. (2022). Digital media use and adolescents’ mental health during the COVID-19 pandemic: A systematic review and meta-analysis. Frontiers in Public Health, 9, 2208. https://doi.org/10.3389/fpubh.2021.793868
McCauley, E., Gudmundsen, G., Schloredt, K., Martell, C., Rhew, I., Hubley, S., & Dimidjian, S. (2016). The Adolescent Behavioral Activation Program: Adapting behavioral activation as a treatment for depression in adolescence. Journal of Clinical Child and Adolescent Psychology, 45(3), 291–304. https://doi.org/10.1080/15374416.2014.979933
McCrae, N., Gettings, S., & Purssell, E. (2017). Social media and depressive symptoms in childhood and adolescence: A systematic review. Adolescent Research Review, 2(4), 315–330. https://doi.org/10.1007/s40894-017-0053-4
McHugh, B. C., Wisniewski, P., Rosson, M. B., & Carroll, J. M. (2018). When social media traumatizes teens: The roles of online risk exposure, coping, and post-traumatic stress. Internet Research, 28(5), 1169–1188. https://doi.org/10.1108/IntR-02-2017-0077
Meier, A., & Reinecke, L. (2020). Computer-mediated communication, social media, and mental health: A conceptual and empirical meta-review. Communication Research. https://doi.org/10.1177/0093650220958224
Misra, S., & Stokols, D. (2012). Psychological and health outcomes of perceived information overload. Environment and Behavior, 44(6), 737–759. https://doi.org/10.1177/0013916511404408
Morin-Major, J. K., Marin, M.-F., Durand, N., Wan, N., Juster, R.-P., & Lupien, S. J. (2016). Facebook behaviors associated with diurnal cortisol in adolescents: Is befriending stress with depressive symptoms. Journal of Abnormal Child Psychology, 43(8), 1427–1438. https://doi.org/10.1016/j.psyneuen.2015.10.005
Morrison, L. G., Geraghty, A. W., Lloyd, S., Goodman, N., Michaelides, D. T., Hargood, C., ... & Yardley, L. (2018). Comparing usage of a web and app stress management intervention: An observational study. Internet interventions, 12, 74–82 https://doi.org/10.1016/j.invent.2018.03.006
Mossie, Z., & Wang, J. H. (2020). Vulnerable community identification using hate speech detection on social media. Information Processing & Management, 57(3), 102087. https://doi.org/10.1016/j.ipm.2019.102087
Nelson, A. M., & Fleming, R. (2019) Gender differences in diet and social media: An explorative study. Appetite, 142, 104383. https://doi.org/10.1016/j.appet.2019.104383
Nesi, J. (2020). The impact of social media on youth mental health: Challenges and opportunities. North Carolina Medical Journal, 81(2), 116–121. https://doi.org/10.18043/ncm.81.2.116
Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018a). Transformation of adolescent peer relations in the social media context: Part 1—A theoretical framework and application to dyadic peer relationships. Clinical Child and Family Psychology Review, 21(3), 267–294. https://doi.org/10.1007/s10567-018-0261-x
Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018b). Transformation of adolescent peer relations in the social media context: Part 2—application to peer group processes and future directions for research. Clinical Child and Family Psychology Review, 21, 295–319. https://doi.org/10.1007/s10567-018-0262-9
Nesi, J., & Prinstein, M. J. (2015). Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Journal of Abnormal Child Psychology, 43(8), 1427–1438. https://doi.org/10.1007/s10802-015-0020-0
Nick, E. A., Kilic, Z., Nesi, J., Telzer, E. H., Lindquist, K. A., & Prinstein, M. J. (2022). Adolescent digital stress: Frequencies, correlates, and longitudinal association with depressive symptoms. Journal of Adolescent Health, 70(2), 336–339. https://doi.org/10.1016/j.jadohealth.2021.08.025
Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51–60. https://doi.org/10.1016/j.adolescence.2016.12.008
Odgers, C. L., & Jensen, M. R. (2020). Annual research review: Adolescent mental health in the digital age: Facts, fears, and future directions. Journal of Child Psychology and Psychiatry, 61, 336–348. https://doi.org/10.1111/jcpp.13190
Otte, C. (2011). Cognitive behavioral therapy in anxiety disorders: Current state of the evidence. Dialogues in Clinical Neuroscience, 13(4), 413–421. https://doi.org/10.31887/DCNS.2011.13.4/cotte
Pang, H. (2021). Identifying associations between mobile social media users’ perceived values, attitude, satisfaction, and EWOM engagement: The moderating role of affective factors. Telematics and Informatics, 59, 101561. https://doi.org/10.1016/j.tele.2020.101561
Pew Research Center. (2018). Social Media Use in 2018. Pew Research Center. Retrieved from https://www.pewresearch.org/internet/2018/03/01/social-media-use-in-2018/
Plaisime, M., Robertson-James, C., Mejia, L., Núñez, A., Wolf, J., & Reels, S. (2020). Social media and teens: A needs assessment exploring the potential role of social media in promoting health. Social Media Society, 6(1), 2056305119886025. https://doi.org/10.1177/2056305119886025
Primack, B. A., Karim, S. A., Schensa, A., Bowman, N., Knight, J., & Sidani, J. E. (2019). Positive and negative experiences on social media and perceived social isolation. American Journal of Health Promotion, 33(6), 859–868. https://doi.org/10.1177/0890117118824196
Prinstein, M. J., Nesi, J., & Telzer, E. H. (2020). Commentary: An updated agenda for the study of digital media use and adolescent development–future directions following Odgers & Jensen (2020). Journal of Child Psychology and Psychiatry, 61(3), 349–352. https://doi.org/10.1111/jcpp.13219
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014
Radovic, A., Gmelin, T., Stein, B. D., & Miller, E. (2017). Depressed adolescents’ positive and negative use of social media. Journal of Adolescence, 55(1), 5–15. https://doi.org/10.1016/j.adolescence.2016.12.002
Reinecke, L., & Eden, A. (2017). Media use and well-being: An introduction to the special issue. Journal of Media Psychology: Theories, Methods, and Applications, 29(3), 111–114. https://doi.org/10.1027/1864-1105/a000227
Reinecke, L., Meier, A., Aufenanger, S., Beutel, M. E., Dreier, M., Quiring, O., Stark, B., Wölfling, K., & Müller, K. W. (2018). Permanently online and permanently procrastinating? The mediating role of internet use for the effects of trait procrastination on psychological health and well-being. New Media & Society, 20(3), 862–880. https://doi.org/10.1177/1461444816675437
Ricciardelli, L. A., Nackerud, L., Quinn, A. E., Sewell, M., & Casiano, B. (2020). Social media use, attitudes, and knowledge among social work students: Ethical implications for the social work profession. Social Sciences & Humanities Open, 2(1), 100008. https://doi.org/10.1016/j.ssaho.2019.100008
Rideout, V., Peebles, A., Mann, S., & Robb, M. B. (2022). Common Sense census: Media use by tweens and teens. Common Sense Media. Retrieved from https://www.commonsensemedia.org/sites/default/files/research/report/8-18-census-integrated-report-final-web_0.pdf
Roberts, J. A., & David, M. E. (2020). The social media party: Fear of missing out (FoMO) social media intensity connection and well-being. International Journal of Human–Computer Interaction, 36(4), 386–392. https://doi.org/10.1080/10447318.2019.1646517
Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638–641. https://doi.org/10.1037/0033-2909.86.3.638
Rui, J., & Stefanone, M. A. (2013). Strategic self-presentation online: A cross-cultural study. Computers in Human Behavior, 29(1), 110–118. https://doi.org/10.1016/j.chb.2012.07.022
Sabik, N. J., Falat, J., & Magagnos, J. (2020). When self-worth depends on social media feedback: Associations with psychological wellbeing. Sex Roles, 82, 411–421. https://doi.org/10.1007/s11199-019-01062-8
Saxton, G. D., & Wang, L. (2014). The social network effect: The determinants of giving through social media. Nonprofit and Voluntary Sector Quarterly, 43(5), 850–868. https://doi.org/10.1177/0899764013485159
Sim, J., & Wright, C. C. (2005). The Kappa statistic in reliability studies: Use, interpretation, and sample size requirements. Physical Therapy, 85(3), 257–268. https://doi.org/10.1093/ptj/85.3.257
Song, H., Zmyslinski-Seelig, A., Kim, J., Drent, A., Victor, A., Omori, K., & Allen, M. (2014). Does Facebook make you lonely?: A meta analysis. Computers in Human Behavior, 36(214), 446–452. https://doi.org/10.1016/j.chb.2014.04.011
Steele, R. G., Hall, J. A., & Christofferson, J. L. (2020). Conceptualizing digital stress in adolescents and young adults: Toward the development of an empirically based model. Clinical Child and Family Psychology Review, 23(1), 15–26. https://doi.org/10.1007/s10567-019-00300-5
Sterne, J. A., Sutton, A. J., Ioannidis, J. P., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rücker, G., Harbord, R. M., Schmid, C. H., Tetzlaff, J., Deeks, J. J., Peters, J., Macaskill, P., Schwarzer, G., Duval, S., Altman, D. G., Moher, D., & Higgins, J. P. (2011). Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ, 343, d4002. https://doi.org/10.1136/bmj.d4002
Thomée, S., Dellve, L., Harenstam, A., & Hagberg, M. (2010). Perceived connections between information and communication technology use and mental symptoms among young adults - a qualitative study. BMC Public Health, 10, 66. https://doi.org/10.1186/1471-2458-10-66
Thomée, S., Härenstam, A., & Hagberg, M. (2012). Computer use and stress, sleep disturbances, and symptoms of depression among young adults—a prospective cohort study. BMC Psychiatry, 12(1), 176. https://doi.org/10.1186/1471-244x-12-176
Thorisdottir, I. E., Sigurvinsdottir, R., Kristjansson, A. L., Allegrante, J. P., Lilly, C. L., & Sigfusdottir, I. D. (2020). Longitudinal association between social media use and psychological distress among adolescents. Preventive Medicine, 131, 106270. https://doi.org/10.1016/j.ypmed.2020.106270
Twenge, J. M., & Martin, G. N. (2020). Gender differences in associations between digital media use and psychological well-being: Evidence from three large datasets. Journal of Adolescence, 79, 91–102. https://doi.org/10.1016/j.adolescence.2019.12.018
United States Surgeon General (2023). Social media and youth mental health: The U.S. Surgeon General’s Advisory. Retrieved 12 June 2023 from https://www.hhs.gov/sites/default/files/sg-youth-mental-health-social-media-advisory.pdf
Valkenburg, P. M., Beyens, I., Pouwels, J. L., van Driel, I. I., & Keijsers, L. (2022). Social media browsing and adolescent well-being: Challenging the “Passive Social Media Use Hypothesis.” Journal of Computer-Mediated Communication, 27(1), zmab015. https://doi.org/10.1093/jcmc/zmab015
Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. CyberPsychology & Behavior, 9(5), 584–590. https://doi.org/10.1089/cpb.2006.9.584
Verbeij, T., Pouwels, J. L., Beyens, I., & Valkenburg, P. M. (2021). The accuracy and validity of self-reported social media use measures among adolescents. Computers in Human Behavior Reports, 3, 100090. https://doi.org/10.1016/j.chbr.2021.100090
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. https://doi.org/10.1111/sipr.12033
Vogels, E. A., Gelles-Watnick, R., & Massarat, N. (2022). Teens, social media and technology 2022. Retrieved from https://policycommons.net/artifacts/2644169/teens-social-media-and-technology-2022/3667002/
Vorderer, P., & Klimmt, C. (2020). The mobile user’s mindset in a permanently online, permanently connected society. The Oxford Handbook of Mobile Communication and Society. https://doi.org/10.1093/oxfordhb/9780190864385.013.4
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. https://doi.org/10.1016/j.chb.2016.05.085
Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: An empirical investigation. Computers in Human Behavior, 24(6), 3002–3013. https://doi.org/10.1016/j.chb.2008.05.007
Weinstein, A. A., Lydick, S. E., & Biswabharati, S. (2014). Exercise and its relationship to psychological health and wellbeing. In A. R. Gomes, R. Resende, & A. Albuquerque (Eds.), Psychology of emotions, motivations and actions. Positive human functioning from a multidimensional perspective, Vol. 2. Promoting healthy lifestyles (pp. 147–166). Nova Science Publishers.
Widmann, M. (2020.) Cohen’s Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls. Retrieved from https://thenewstack.io/cohens-kappa-what-it-is-when-to-use-it-and-how-to-avoid-its-pitfalls/
Wolfers, L. N., Festl, R., & Utz, S. (2020). Do smartphones and social network sites become more important when experiencing stress? Results from longitudinal data. Computers in Human Behavior, 109, 106339. https://doi.org/10.1016/j.chb.2020.106339
Wolniewicz, C., Tiamiyu, M., Weeks, J., & Elhai, J. (2018). Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Research, 262, 618–623. https://doi.org/10.1016/j.psychres.2017.09.058
Yang, C.-C., Smith, C., Pham, T., & Ariati, J. (2023). Digital social multitasking (DSMT), digital stress, and socioemotional wellbeing among adolescents. Cyberpsychology Journal of Psychosocial Research on Cyberspace. https://doi.org/10.5817/CP2023-1-6
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904–914. https://doi.org/10.1016/j.im.2016.03.006
Acknowledgements
The authors wish to thank Dr. Neal Kingston for helping with conceptualization and problemsolving during statistical analysis. Special thanks to Avery Poindexter, Versha Rajvani, Claire Pursell, and Caitlyn Browne for reviewing articles in full text and helping with initial coding of article abstracts.
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Khetawat, D., Steele, R.G. Examining the Association Between Digital Stress Components and Psychological Wellbeing: A Meta-Analysis. Clin Child Fam Psychol Rev 26, 957–974 (2023). https://doi.org/10.1007/s10567-023-00440-9
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DOI: https://doi.org/10.1007/s10567-023-00440-9