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Original Articles and Reviews

Social Media as Source of Information, Stress Symptoms, and Burden Caused by Coronavirus (COVID-19)

A Cross-National Investigation of Predictors

Published Online:https://doi.org/10.1027/1016-9040/a000452

Abstract. This cross-national study investigated the extent of social media use (SMU) as a source of information about COVID-19, and its relationship with the experienced burden caused by the pandemic. Representative data from eight countries (France, Germany, Poland, Russia, Spain, Sweden, the UK, the USA) were collected online (end of May to the beginning of June 2020). Of the overall 8,302 participants, 48.1% frequently used social media (SM) as a COVID-19 information source (range: 31.8% in Germany, to 65.4% in Poland). In the overall samples and in all country-specific samples, regression analyses revealed the experienced burden caused by COVID-19 to be positively associated with SMU and stress symptoms. Furthermore, stress symptoms partly mediated the relationship between SMU and the burden. The results emphasize the significant association between the use of SM as a source of information, individual emotional state, and behavior during the pandemic, as well as the significance of conscious and accurate use of SM specifically during the COVID-19 outbreak.

References

  • Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (2020). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 1–7. https://doi.org/10.1017/S003329172000224X First citation in articleGoogle Scholar

  • Appel, H., Gerlach, A. L., & Crusius, J. (2016). The interplay between Facebook use, social comparison, envy, and depression. Current Opinion in Psychology, 9, 44–49. https://doi.org/10.1016/j.copsyc.2015.10.006 First citation in articleCrossrefGoogle Scholar

  • Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, Article 101475. https://doi.org/10.1016/j.tele.2020.101475 First citation in articleCrossrefGoogle Scholar

  • Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLoS One, 12(1), Article e0169839. https://doi.org/10.1371/journal.pone.0169839 First citation in articleCrossrefGoogle Scholar

  • Bäuerle, A., Steinbach, J., Schweda, A., Beckord, J., Hetkamp, M., Weismüller, B., Kohler, H., Musche, V., Dörrie, N., & Teufel, M. (2020). Mental health burden of the COVID-19 outbreak in germany: Predictors of mental health impairment. Journal of Primary Care & Community Health, 11, 1–8. https://doi.org/10.1177/2150132720953682 First citation in articleCrossrefGoogle Scholar

  • Berryman, C., Ferguson, C. J., & Negy, C. (2018). Social media use and mental health among young adults. Psychiatric Quarterly, 89(2), 307–314. https://doi.org/10.1007/s11126-017-9535-6 First citation in articleCrossrefGoogle Scholar

  • Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119–123. First citation in articleCrossrefGoogle Scholar

  • Boursier, V., Gioia, F., Musetti, A., & Schimmenti, A. (2020). Facing loneliness and anxiety during the COVID-19 isolation: The role of excessive social media use in a sample of Italian adults. Frontiers in Psychiatry, 11, 1–10. https://doi.org/10.3389/fpsyt.2020.586222 First citation in articleCrossrefGoogle Scholar

  • Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.x First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., Cosci, F., Mansueto, G., & Margraf, J. (2021). The relationship between social media use, stress symptoms and burden caused by Coronavirus (COVID-19) in Germany and Italy: A cross-sectional and longitudinal investigation. Journal of Affective Disorders Reports, 3, Article 100067. https://doi.org/10.1016/j.jadr.2020.100067 First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., & Margraf, J. (2020a). Decrease of well-being and increase of online media use: Cohort trends in German university freshmen between 2016 and 2019. Psychiatry Research, 290, Article 113110. https://doi.org/10.1016/j.psychres.2020.113110 First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., & Margraf, J. (2020b). Predicting adaptive and maladaptive responses to the Coronavirus (COVID-19) outbreak: A prospective longitudinal study. International Journal of Clinical and Health Psychology, 20(3), 181–191. https://doi.org/10.1016/j.ijchp.2020.06.002 First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., Rohmann, E., Bierhoff, H.-W., Margraf, J., & Köllner, V. (2019). Relationships between addictive Facebook use, depressiveness, insomnia, and positive mental health in an inpatient sample: A German longitudinal study. Journal of Behavioral Addictions, 8(4), 703–713. https://doi.org/10.1556/2006.8.2019.63 First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., Schillack, H., & Margraf, J. (2020). Tell me why are you using social media (SM)! Relationship between reasons for use of SM, SM flow, daily stress, depression, anxiety, and addictive SM use – An exploratory investigation of young adults in Germany. Computers in Human Behavior, 113, Article 106511. https://doi.org/10.1016/j.chb.2020.106511 First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., Ströse, F., Schillack, H., & Margraf, J. (2020). Less Facebook use – More well-being and a healthier lifestyle? An experimental intervention study. Computers in Human Behavior, 108, Article 106332. https://doi.org/10.1016/j.chb.2020.106332 First citation in articleCrossrefGoogle Scholar

  • Brailovskaia, J., Teismann, T., & Margraf, J. (2020). Positive mental health mediates the relationship between Facebook Addiction Disorder and suicide-related outcomes: A longitudinal approach. Cyberpsychology, Behavior, and Social Networking, 23(5), 346–350. https://doi.org/10.1089/cyber.2019.0563 First citation in articleCrossrefGoogle Scholar

  • Bridgman, A., Merkley, E., Loewen, P. J., Owen, T., Ruths, D., Teichmann, L., & Zhilin, O. (2020). The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media. Harvard Kennedy School Misinformation Review, 1(3), 1–18. https://doi.org/10.37016/mr-2020-028 First citation in articleGoogle Scholar

  • Budhwani, H., & Sun, R. (2020). Creating COVID-19 stigma by referencing the novel coronavirus as the “Chinese virus” on Twitter: Quantitative analysis of social media data. Journal of Medical Internet Research, 22(5), Article e19301. https://doi.org/10.2196/19301 First citation in articleCrossrefGoogle Scholar

  • Carbonell, X., & Panova, T. (2017). A critical consideration of social networking sites’ addiction potential. Addiction Research & Theory, 25(1), 48–57. https://doi.org/10.1080/16066359.2016.1197915 First citation in articleCrossrefGoogle Scholar

  • Carter, H., Drury, J., Rubin, G. J., Williams, R., & Amlôt, R. (2015). Applying crowd psychology to develop recommendations for the management of mass decontamination. Health Security, 13(1), 45–53. https://doi.org/10.1089/hs.2014.0061 First citation in articleCrossrefGoogle Scholar

  • Cellini, N., Canale, N., Mioni, G., & Costa, S. (2020). Changes in sleep pattern, sense of time and digital media use during COVID‐19 lockdown in Italy. Journal of Sleep Research, 29(4), Article e13074. https://doi.org/10.1111/jsr.13074 First citation in articleCrossrefGoogle Scholar

  • Cismaru, M., Cismaru, R., Ono, T., & Nelson, K. (2011). “Act on climate change”: An application of protection motivation theory. Social Marketing Quarterly, 17(3), 62–84. https://doi.org/10.1080/15245004.2011.595539 First citation in articleCrossrefGoogle Scholar

  • Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020). Does time spent using social media impact mental health? An eight year longitudinal study. Computers in Human Behavior, 104, Article 106160. https://doi.org/10.1016/j.chb.2019.106160 First citation in articleCrossrefGoogle Scholar

  • Drouin, M., McDaniel, B. T., Pater, J., & Toscos, T. (2020). How parents and their children used social media and technology at the beginning of the COVID-19 pandemic and associations with anxiety. Cyberpsychology, Behavior, and Social Networking, 23(11), 727–736. https://doi.org/10.1089/cyber.2020.0284 First citation in articleCrossrefGoogle Scholar

  • Drury, J., Cocking, C., & Reicher, S. (2009). The nature of collective resilience: Survivor reactions to the 2005 London bombings. International Journal of Mass Emergencies and Disasters, 27(1), 66–95. First citation in articleGoogle Scholar

  • Eikenberry, S. E., Mancuso, M., Iboi, E., Phan, T., Eikenberry, K., Kuang, Y., Kostelich, E., & Gumel, A. B. (2020). To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic. Infectious Disease Modelling, 5, 293–308. https://doi.org/10.1016/j.idm.2020.04.001 First citation in articleCrossrefGoogle Scholar

  • Erku, D. A., Belachew, S. A., Abrha, S., Sinnollareddy, M., Thomas, J., Steadman, K. J., & Tesfaye, W. H. (2021). When fear and misinformation go viral: Pharmacists’ role in deterring medication misinformation during the’infodemic’surrounding COVID-19. Research in Social and Administrative Pharmacy, 17(1), 1954–1963. https://doi.org/10.1016/j.sapharm.2020.04.032 First citation in articleCrossrefGoogle Scholar

  • Galea, S., Merchant, R. M., & Lurie, N. (2020). The mental health consequences of COVID-19 and physical distancing: The need for prevention and early intervention. JAMA Internal Medicine, 180(6), 817–818. https://doi.org/10.1001/jamainternmed.2020.1562 First citation in articleCrossrefGoogle Scholar

  • Gandhi, M., & Rutherford, G. W. (2020). Facial masking for COVID-19 – Potential for “variolation” as we await a vaccine. New England Journal of Medicine, 383(18), Article e101. https://doi.org/10.1056/NEJMp2026913 First citation in articleCrossrefGoogle Scholar

  • Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS One, 15(4), Article e0231924. https://doi.org/10.1371/journal.pone.0231924 First citation in articleCrossrefGoogle Scholar

  • Garfin, D. R., Holman, E. A., & Silver, R. C. (2015). Cumulative exposure to prior collective trauma and acute stress responses to the Boston marathon bombings. Psychological Science, 26, 675–683. https://doi.org/10.1177/0956797614561043 First citation in articleCrossrefGoogle Scholar

  • Garfin, D. R., Silver, R. C., & Holman, E. A. (2020). The novel coronavirus (COVID-2019) outbreak: Amplification of public health consequences by media exposure. Health Psychology, 39(5), 355–357. https://doi.org/10.1037/hea0000875 First citation in articleCrossrefGoogle Scholar

  • Gershman, J. (2020). A guide to state coronavirus reopenings and lockdowns. The Wall Street Journal. https://www.wsj.com/articles/a-state-by-state-guide-to-coronavirus-lockdowns-11584749351?mod=theme_coronavirus-ribbon First citation in articleGoogle Scholar

  • Goel, A., & Gupta, L. (2020). Social media in the times of COVID-19. Journal of Clinical Rheumatology, 26(6), 220–223. https://doi.org/10.1097/RHU.0000000000001508 First citation in articleCrossrefGoogle Scholar

  • González-Padilla, D. A., & Tortolero-Blanco, L. (2020). Social media influence in the COVID-19 Pandemic. International Brazilian Journal of Urology, 46, 120–124. https://doi.org/10.1590/s1677-5538.ibju.2020.s121 First citation in articleCrossrefGoogle Scholar

  • Gottlieb, M., & Dyer, S. (2020). Information and disinformation: Social media in the COVID‐19 crisis. Academic Emergency Medicine, 27(7), 640–641. https://doi.org/10.1111/acem.14036 First citation in articleCrossrefGoogle Scholar

  • Gouvernement. (2020). Coronavirus COVID-19. https://www.gouvernement.fr/en/coronavirus-covid-19 First citation in articleGoogle Scholar

  • Hasell, J., Mathieu, E., Beltekian, D., Macdonald, B., Giattino, C., Ortiz-Ospina, E., Roser, M., & Ritchie, H. (2021). A cross-country database of COVID-19 testing. Scientific Data, 7(345), 1–7. https://doi.org/10.1038/s41597-020-00688-8 First citation in articleGoogle Scholar

  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis. Guilford Press. First citation in articleGoogle Scholar

  • Holman, E. A., Garfin, D. R., Lubens, P., & Silver, R. C. (2020). Media exposure to collective trauma, mental health, and functioning: does it matter what you see? Clinical Psychological Science, 8(1), 111–124. https://doi.org/10.1177/2167702619858300 First citation in articleCrossrefGoogle Scholar

  • Holman, E. A., Garfin, D. R., & Silver, R. C. (2014). Media’s role in broadcasting acute stress following the Boston Marathon bombings. Proceedings of the National Academy of Sciences, 111(1), 93–98. https://doi.org/10.1073/pnas.1316265110 First citation in articleCrossrefGoogle Scholar

  • 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 First citation in articleCrossrefGoogle Scholar

  • Hussain, W. (2020). Role of social media in COVID-19 pandemic. The International Journal of Frontier Sciences, 4(2), 59–60. https://doi.org/10.37978/tijfs.v4i2.144 First citation in articleCrossrefGoogle Scholar

  • Iordache, D. D., & Pribeanu, C. (2016). Exploring the motives of using Facebook – A multidimensional approach. Revista Romana de Interactiune Om-Calculator, 9(1), 19–34. First citation in articleGoogle Scholar

  • Kim, J., & Lee, J. E. (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 First citation in articleCrossrefGoogle Scholar

  • Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., Adib, E., Zarka, J., Traboulsi, C., Akl, E. W., & Baddour, K. (2020). Coronavirus goes viral: Quantifying the COVID-19 misinformation epidemic on Twitter. Cureus, 12(3), Article e7255. https://doi.org/10.7759/cureus.7255 First citation in articleGoogle Scholar

  • Kraemer, H. C., Kazdin, A. E., Offord, D. R., Kessler, R. C., Jensen, P. S., & Kupfer, D. J. (1997). Coming to terms with the terms of risk. Archives of General Psychiatry, 54(4), 337–343. https://doi.org/10.1001/archpsyc.1997.01830160065009 First citation in articleCrossrefGoogle Scholar

  • Kramer, A. D., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(14), 8788–8790. https://doi.org/10.1073/pnas.1320040111 First citation in articleCrossrefGoogle Scholar

  • Lin, Y., Hu, Z., Alias, H., & Wong, L. P. (2020). Influence of mass and social media on psychobehavioral responses among medical students during the downward trend of COVID-19 in Fujian, China: Cross-Sectional study. Journal of Medical Internet Research, 22(7), Article e19982. https://doi.org/10.2196/19982 First citation in articleCrossrefGoogle Scholar

  • Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales (2nd ed.). Psychology Foundation. First citation in articleGoogle Scholar

  • Mai, J.-E. (2016). Looking for information: A survey of research on information seeking, needs, and behavior (4th ed.). Emerald Group Publishing. First citation in articleGoogle Scholar

  • Malecki, K., Keating, J. A., & Safdar, N. (2020). Crisis communication and public perception of COVID-19 risk in the era of social media. Clinical Infectious Diseases, 72(4), 697–702. https://doi.org/10.1093/cid/ciaa758 First citation in articleCrossrefGoogle Scholar

  • Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018). A comprehensive meta-analysis on problematic Facebook use. Computers in Human Behavior, 83, 262–277. https://doi.org/10.1016/j.chb.2018.02.009 First citation in articleCrossrefGoogle Scholar

  • McMurtry, A. (2020). Spain fights 73 COVID-19 outbreaks as cases jump to 543. https://www.aa.com.tr/en/europe/spain-fights-73-covid-19-outbreaks-as-cases-jump-to-543/1905290 First citation in articleGoogle Scholar

  • Nabi, R. L., Prestin, A., & So, J. (2013). Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being. Cyberpsychology, Behavior, and Social Networking, 16(10), 721–727. https://doi.org/10.1089/cyber.2012.0521 First citation in articleCrossrefGoogle Scholar

  • Naumer, C. M., & Fisher, K. E. (2010). Information needs. Encyclopedia of library and information sciences, 1, 2452–2458. https://doi.org/10.1081/E-ELIS3-120043243 First citation in articleGoogle Scholar

  • Newman, N., Fletcher, R., Kalogeropoulos, A., & Nielsen, R. K. (2019). Reuters Institute Digital News Report 2019. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/inline-files/DNR_2019_FINAL.pdf First citation in articleGoogle Scholar

  • Ng, Y. J., Yang, Z. J., & Vishwanath, A. (2018). To fear or not to fear? Applying the social amplification of risk framework on two environmental health risks in Singapore. Journal of Risk Research, 21, 1487–1501. https://doi.org/10.1080/13669877.2017.1313762 First citation in articleCrossrefGoogle Scholar

  • Ni, M. Y., Yang, L., Leung, C. M. C., Li, N., Yao, X. I., Wang, Y., Leung, G. M., Cowling, B. J., & Liao, Q. (2020). Mental health, risk factors, and social media use during the COVID-19 epidemic and cordon sanitaire among the community and health professionals in Wuhan, China: Cross-sectional survey. JMIR Mental Health, 7(5), Article e19009. https://doi.org/10.2196/19009 First citation in articleCrossrefGoogle Scholar

  • Orben, A. (2020a). The Sisyphean cycle of technology panics. Perspectives on Psychological Science, 15(5), 1143–1157. https://doi.org/10.1177/1745691620919372 First citation in articleCrossrefGoogle Scholar

  • Orben, A. (2020b). Teenagers, screens and social media: A narrative review of reviews and key studies. Social Psychiatry and Psychiatric Epidemiology, 55(4), 407–414. https://doi.org/10.1007/s00127-019-01825-4 First citation in articleCrossrefGoogle Scholar

  • Orben, A., Dienlin, T., & Przybylski, A. K. (2019). Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National Academy of Sciences, 116(21), 10226–10228. https://doi.org/10.1073/pnas.1902058116 First citation in articleCrossrefGoogle Scholar

  • Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182. https://doi.org/10.1038/s41562-018-0506-1 First citation in articleCrossrefGoogle Scholar

  • Orben, A., Weinstein, N., & Przybylski, A. K. (2020). Only holistic and iterative change will fix digital technology research. Psychological Inquiry, 31(3), 235–241. https://doi.org/10.1080/1047840X.2020.1820221 First citation in articleCrossrefGoogle Scholar

  • Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770–780. https://doi.org/10.1177/0956797620939054 First citation in articleCrossrefGoogle Scholar

  • Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020). Fear of Missing Out (FoMO) and social media’s impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram, and Snapchat Use Disorders mediate that association? Addictive Behaviors, 110, Article 106487. https://doi.org/10.1016/j.addbeh.2020.106487 First citation in articleCrossrefGoogle Scholar

  • Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2021). Comparing Smartphone, WhatsApp, Facebook, Instagram, and Snapchat: Which platform elicits the greatest use disorder symptoms? Cyberpsychology, Behavior, and Social Networking, 24(2), 129–134. https://doi.org/10.1089/cyber.2020.0156 First citation in articleCrossrefGoogle Scholar

  • Schmitt, J. B., Debbelt, C. A., & Schneider, F. M. (2018). Too much information? Predictors of information overload in the context of online news exposure. Information, Communication & Society, 21(8), 1151–1167. https://doi.org/10.1080/1369118X.2017.1305427 First citation in articleCrossrefGoogle Scholar

  • Scholten, S., Velten, J., Bieda, A., Zhang, X. C., & Margraf, J. (2017). Testing measurement invariance of the Depression, Anxiety, and Stress Scales (DASS-21) across four countries. Psychological Assessment, 29(11), 1376–1390. https://doi.org/10.1037/pas0000440 First citation in articleCrossrefGoogle Scholar

  • Scholten, S., Velten, J., & Margraf, J. (2018). Mental distress and perceived wealth, justice and freedom across eight countries: The invisible power of the macrosystem. PLoS One, 13(5), Article e0194642. https://doi.org/10.1371/journal.pone.0194642 First citation in articleCrossrefGoogle Scholar

  • Scholten, S., Velten, J., Neher, T., & Margraf, J. (2017). Wealth, justice and freedom: Objective and subjective measures predicting poor mental health in a study across eight countries. SSM-Population Health, 3, 639–648. https://doi.org/10.1016/j.ssmph.2017.07.010 First citation in articleCrossrefGoogle Scholar

  • Siegrist, M., & Zingg, A. (2014). The role of public trust during pandemics: Implications for crisis communication. European Psychologist, 19(1), 23–32. https://doi.org/10.1027/1016-9040/a000169 First citation in articleLinkGoogle Scholar

  • Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., Iosifidis, C., & Agha, R. (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery, 76, 71–76. https://doi.org/10.1016/j.ijsu.2020.02.034 First citation in articleCrossrefGoogle Scholar

  • Srivastava, K. C., Shrivastava, D., Chhabra, K. G., Naqvi, W., & Sahu, A. (2020). Facade of media and social media during COVID-19: A review. International Journal of Research in Pharmaceutical Sciences, 11(SPL 1), 142–149. https://doi.org/10.26452/ijrps.v11iSPL1.2288 First citation in articleCrossrefGoogle Scholar

  • Sunjaya, A. P., & Jenkins, C. (2020). Rationale for universal face masks in public against COVID‐19. Respirology, https://doi.org/10.1111/resp.13834 First citation in articleCrossrefGoogle Scholar

  • Thompson, R. R., Garfin, D. R., Holman, E. A., & Silver, R. C. (2017). Distress, worry, and functioning following a global health crisis: A national study of Americans’ responses to Ebola. Clinical Psychological Science, 5, 513–521. https://doi.org/10.1177/2167702617692030 First citation in articleCrossrefGoogle Scholar

  • Tromholt, M. (2016). The Facebook Experiment: Quitting Facebook Leads to Higher Levels of Well-Being. Cyberpsychology, Behavior, and Social Networking, 19(11), 661–666. https://doi.org/10.1089/cyber.2016.0259 First citation in articleCrossrefGoogle Scholar

  • Tucker, K. L., Ozer, D. J., Lyubomirsky, S., & Boehm, J. K. (2006). Testing for measurement invariance in the Satisfaction With Life Scale: A comparison of Russians and North Americans. Social Indicators Research, 78(2), 341–360. https://doi.org/0.1007/s11205-005-1037-5 First citation in articleCrossrefGoogle Scholar

  • Urban, D., & Mayerl, J. (2006). Regressionsanalyse: Theorie, Technik und Anwendung (2 Aufl.) [Regression analysis: Theory, technique, and application (2nd ed.)]. VS Verlag für Sozialwissenschaften. First citation in articleGoogle Scholar

  • 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 First citation in articleCrossrefGoogle Scholar

  • Vuorre, M., Orben, A., & Przybylski, A. K. (2021). There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clinical Psychological Science, https://doi.org/10.1177/2167702621994549 First citation in articleCrossrefGoogle Scholar

  • Woods, H. C., & Scott, H. (2016). #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41–49. https://doi.org/10.1016/j.adolescence.2016.05.008 First citation in articleCrossrefGoogle Scholar

  • World Health Organization. (2020a). Considerations in adjusting public health and social measures in the context of COVID-19. WHO WHO/2019-nCoV/Adjusting_PH_measures/2020.1-eng.pdf First citation in articleGoogle Scholar

  • World Health Organization. (2020b). Coronavirus disease 2019 (COVID-19): Situation Report, 51. WHO. https://apps.who.int/iris/bitstream/handle/10665/331475/nCoVsitrep11Mar2020-eng.pdf First citation in articleGoogle Scholar

  • Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M. W., Gill, H., Phan, L., Chen-Li, D., Iacobucci, M., Ho, R., & Majeed, A. (2020). Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of Affective Disorders, 277(1), 55–64. https://doi.org/10.1016/j.jad.2020.08.001 First citation in articleCrossrefGoogle Scholar

  • Zarotti, N., Povah, C., & Simpson, J. (2020). Mindfulness mediates the relationship between cognitive reappraisal and resilience in higher education students. Personality and Individual Differences, 156, Article 109795. https://doi.org/10.1016/j.paid.2019.109795 First citation in articleCrossrefGoogle Scholar

  • Zhong, B., Huang, Y., & Liu, Q. (2021). Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak. Computers in Human Behavior, 114, Article 106524. https://doi.org/10.1016/j.chb.2020.106524 First citation in articleCrossrefGoogle Scholar