The Relationship between Problematic Technology Use and Mental Health Problems in the COVID-19 Pandemic: A Meta-Analysis

Year 2023, Volume: 5 Issue: 1, 374 - 385, 30.06.2023

Erdal Hamarta , Önder Baltacı , Ömer Faruk Akbulut , Muhammed Akat

https://doi.org/10.51535/tell.1283101

Abstract

Objective: The COVID-19 pandemic has had a negative impact on individuals both psychologically and socially. The current research shows that problematic technology use and mental health problems increased during the pandemic period.
Method: In this study, studies examining the relationship between problematic technology use and mental health problems in the COVID-19 pandemic were examined and a meta-analysis was conducted. The present meta-analysis focused on the problematic technology use (i.e., internet addiction, smartphone addiction, social media addiction, and game addiction) and mental health problems in the COVID-19 pandemic. Searches were conducted for relevant studies using the ProQuest, PubMed, Science Direct, Scopus, Web of Science, ERIC, and TR Dizin databases. A total of 56 studies met the inclusion criteria. A total of 53,047 participants were reached in these studies.
Results: Rosenthal’s classic fail-safe N analysis reveals that the meta-analysis result is statistically significant (p=.000). Moreover, the fact that the Begg and Mazumdar rank correlation is not significant indicates the absence of publication bias (p=0.28). In addition, no missing studies were found in Duval and Tweedie’s trim and fill analysis. The results demonstrated that problematic technology use was moderately positively correlated with mental health problems (r=0.33, n=53.047). In addition, the Q statistic (1833.059) examined to control heterogeneity shows that all variables are heterogeneous. The results of the I2 statistic (93.4%) show that a high level of heterogeneity has been achieved.
Discussion: This finding shows that problematic technology use was associated with various mental health problems during the pandemic period.

Keywords

Problematic technology use, Mental health, COVID-19, Pandemic, Meta-analysis

References

• Akat, M., & Karataş, K. (2020). Psychological effects of COVID-19 pandemic on society and its reflections on education. Electronic Turkish Studies, 15(4), 1–13. Retrieved from https://turkishstudies.net/files/turkishstudies/dcaa79c7-552f-4373-915f-8c0d54323bfc.pdf
• Akın, A., & Iskender, M. (2011). Internet addiction and depression, anxiety and stress. International Online Journal of Educational Sciences, 3(1), 138–148. Retrieved from https://www.ajindex.com/dosyalar/makale/acarindex-1423904412.pdf
• *Al. Qudah, M. F., Albursan, I. S., Hammad, H. I., Alzoubi, A. M., Bakhiet, S. F., Almanie, A. M., … Al-Khadher, M. M. (2021). Anxiety about COVID-19 infection, and its relation to smartphone addiction and demographic variables in middle eastern countries. International Journal of Environmental Research and Public Health, 18(21), 11016. https://doi.org/10.3390/ijerph182111016
• Alheneidi, H., AlSumait, L., AlSumait, D., & Smith, A. P. (2021). Loneliness and problematic internet use during COVID-19 lock-down. Behavioral Sciences, 11(1), 5. https://doi.org/https://doi.org/10.3390/bs11010005
• *Ambrosini, F., Truzoli, R., Vismara, M., Vitella, D., & Biolcati, R. (2022). The effect of cyberchondria on anxiety, depression and quality of life during COVID-19: the mediational role of obsessive-compulsive symptoms and Internet addiction. Heliyon, 8(5), e09437. https://doi.org/https://doi.org/10.1016/j.heliyon.2022.e09437
• *Arpaci, I., Karatas, K., Kiran, F., Kusci, I., & Topcu, A. (2022). Mediating role of positivity in the relationship between state anxiety and problematic social media use during the COVID-19 pandemic. Death Studies, 46(10), 2287–2297. https://doi.org/10.1080/07481187.2021.1923588
• *Arslan, G., Yıldırım, M., & Zangeneh, M. (2022). Coronavirus anxiety and psychological adjustment in college students: Exploring the role of college belongingness and social media addiction. International Journal of Mental Health and Addiction, 20(3), 1546–1559. https://doi.org/10.1007/s11469-020-00460-4
• *Ballarotto, G., Marzilli, E., Cerniglia, L., Cimino, S., & Tambelli, R. (2021). How does psychological distress due to the COVID-19 pandemic impact on internet addiction and Instagram addiction in emerging adults? International Journal of Environmental Research and Public Health, 18(21), 11382. https://doi.org/10.3390/ijerph182111382
• Baltacı, Ö., Akbulut, Ö. F., & Yılmaz, E. (2021). A current risk factor in problematic internet use: The COVID-19 pandemic. Humanistic Perspective, 3(1), 97–121. https://doi.org/10.47793/hp.872503
• Baltacı, Ö., Akbulut, Ö. F., & Zafer, R. (2020). Problematic internet use in the COVID-19 pandemic: A qualitative study. Kirsehir Ahi Evran University Journal of Health Sciences Institute, 1(3), 126–140. Retrieved from https://dergipark.org.tr/en/pub/ahievransaglik/issue/64424/979283
• BBC Türkçe. (2020). Coronavirus: My name is Turkey's fight against Covid-19. Retrieved from https://www.bbc.com/turkce/haberler-turkiye-52899914
• Benke, C., Autenrieth, L. K., Asselmann, E. ve Pané-Farré, C. A. (2020). Lockdown, quarantine measures, and social distancing: Associations with depression, anxiety and distress at the beginning of the COVID-19 pandemic among adults from Germany. Psychiatry Research, 293, 113462. https://doi.org/10.1016/j.psychres.2020.113462
• Berman, N. G., & Parker, R. A. (2002). Meta-analysis: Neither quick nor easy. BMC Medical Research Methodology, 2, 1–9. Retrieved from http://www.biomedcentral.com/1471-2288/2/10
• Block, J. J. (2008). Issues for DSM-V: Internet addiction. The American Journal of Psychiatry, (165), 306–307. https://doi.org/10.1176/appi.ajp.2007.07101556
• Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein R., H. (2011). Introduction to meta-analysis. John Wiley & Sons.
• *Bottesi, G., Marino, C., Vieno, A., Ghisi, M., & Spada, M. M. (2022). Psychological distress in the context of the COVID-19 pandemic: the joint contribution of intolerance of uncertainty and cyberchondria. Psychology & Health, 37(11), 1396–1413. https://doi.org/10.1080/08870446.2021.1952584
• Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089–1097. https://doi.org/10.1016/j.chb.2010.03.012
• *Catling, J. C., Bayley, A., Begum, Z., Wardzinski, C., & Wood, A. (2022). Effects of the COVID-19 lockdown on mental health in a UK student sample. BMC Psychology, 10(1), 118. https://doi.org/10.1186/s40359-022-00732-9
• *Chang, C. I., Fong Sit, H., Chao, T., Chen, C., Shen, J., Cao, B., … Hall, B. J. (2022). Exploring subtypes and correlates of internet gaming disorder severity among adolescents during COVID-19 in China: A latent class analysis. Current Psychology, 1-12. https://doi.org/10.1007/s12144-022-03133-8
• *Chatthong, W., Khemthong, S., & Rueankam, M. (2021). Relationship between sleep, digital usage and emotional states in Thai occupational therapy students. Asia Pacific Journal of Health Management, 16(4), 116–124. Retrieved from https://search.informit.org/doi/10.3316/informit.256123155351535
• Chen, C. Y., Chen, I. H., O’Brien, K., Latner, J. D., & Lin, C. Y. (2020). Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak. Research Square, 1–20. https://doi.org/https://doi.org/10.21203/rs.3.rs-27322/v1
• Chen, R. N., Liang, S. W., Peng, Y., Li, X. G., Chen, J. B., Tang, S. Y. ve Zhao, J. B. (2020). Mental health status and change in living rhythms among college students in China during the COVID-19 pandemic: A large-scale survey. Journal of Psychosomatic Research, 137, 110219. https://doi.org/10.1016/j.jpsychores.2020.110219
• *Chen, C.-Y., Chen, I.-H., Hou, W.-L., Potenza, M. N., O’Brien, K. S., Lin, C.-Y., & Latner, J. D. (2022). The relationship between children’s problematic internet-related behaviors and psychological distress during the onset of the COVID-19 pandemic: A longitudinal study. Journal of Addiction Medicine, 16(2), e73–e80. https://doi.org/10.1097/ADM.0000000000000845
• *Chen, I.-H., Chen, C.-Y., Pakpour, A. H., Griffiths, M. D., Lin, C.-Y., Li, X.-D., & Tsang, H. W. H. (2021). Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation modeling study. Journal of Behavioral Addictions, 10(1), 135–148. https://doi.org/https://doi.org/10.1556/2006.2021.00006
• *Cheng, C., & Lau, Y.-C. (2022). Social media addiction during COVID-19-mandated physical distancing: Relatedness needs as motives. International Journal of Environmental Research and Public Health, Vol. 19. https://doi.org/10.3390/ijerph19084621
• Cochran, W. G. (1954). The combination of estimates from different experiments. Biometrics, 10(1), 101–129. Retrieved from https://doi.org/10.2307/3001666
• Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education. Routledge Falmer.
• *Cui, X., & Chi, X. (2021). The relationship between social support and ınternet addiction among Chinese adolescents during the COVID-19 pandemic: A multiple mediation model of resilience and post-traumatic stress disorder symptoms. Psychology Research and Behavior Management, 14, 1665–1674. https://doi.org/10.2147/PRBM.S305510
• *De Pasquale, C., Pistorio, M. L., Sciacca, F., & Hichy, Z. (2021). Relationships between anxiety, perceived vulnerability to disease, and smartphone use during coronavirus disease 2019 pandemic in a sample of Italian college students. Frontiers in Psychology, 12, 692503. https://doi.org/10.3389/fpsyg.2021.692503
• *Dikmen, M. (2021). Examining the role of depression levels of university students on social media addiction in the COVID-19 outbreak: A structural equation model. Journal of Dependence, 22(1), 20–30. https://doi.org/10.51982/bagimli.790750
• Dong, H., Yang, F., Lu, X., & Hao, W. (2020). Internet addiction and related psychological factors among children and adolescents in China during the coronavirus disease 2019 (COVID-19) epidemic. Frontiers in Psychiatry, 11, 751. https://doi.org/10.3389/fpsyt.2020.00751
• *Duan, L., Shao, X., Wang, Y., Huang, Y., Miao, J., Yang, X., & Zhu, G. (2020). An investigation of mental health status of children and adolescents in china during the outbreak of COVID-19. Journal of Affective Disorders, 275, 112–118. https://doi.org/10.1016/j.jad.2020.06.029
• *Elhai, J. D., McKay, D., Yang, H., Minaya, C., Montag, C., & Asmundson, G. J. G. (2021). Health anxiety related to problematic smartphone use and gaming disorder severity during COVID-19: Fear of missing out as a mediator. Human Behavior and Emerging Technologies, 3(1), 137–146. https://doi.org/https://doi.org/10.1002/hbe2.227
• *Elhai, J. D., Yang, H., McKay, D., & Asmundson, G. J. (2020). COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. Journal of Affective Disorders, 274, 576–582. https://doi.org/https://doi.org/10.1016/j.jad.2020.05.080
• Fernandes, B., Maia, B. R., & Pontes, H. M. (2019). Internet addiction or problematic internet use? Which term should be used? Psicologia Usp, 30, e190020. https://doi.org/10.1590/0103-6564e190020
• *Fung, X. C. C., Siu, A. M. H., Potenza, M. N., O’Brien, K. S., Latner, J. D., Chen, C.-Y., … Lin, C.-Y. (2021). Problematic use of internet-related activities and perceived weight stigma in schoolchildren: A longitudinal study across different epidemic periods of COVID-19 in China. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.675839
• *Gecaite-Stonciene, J., Saudargiene, A., Pranckeviciene, A., Liaugaudaite, V., Griskova-Bulanova, I., Simkute, D., … Burkauskas, J. (2021). Impulsivity mediates associations between problematic internet use, anxiety, and depressive symptoms in students: A cross-sectional COVID-19 study. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.634464
• Gómez-Galán, J., Martínez-López, J. Á., Lázaro-Pérez, C., & Sarasola Sánchez-Serrano, J. L. (2020). Social networks consumption and addiction in college students during the COVID-19 pandemic: Educational approach to responsible use. Sustainability, 12(18), 7737. https://doi.org/10.3390/su12187737
• *Guelmami, N., Ben Khalifa, M., Chalghaf, N., Kong, J. D., Amayra, T., Wu, J., … Bragazzi, N. L. (2021). Development of the 12-Item Social Media Disinformation Scale and its association with social media addiction and mental health related to COVID-19 in Tunisia: Survey-based pilot case study. JMIR Form Res, 5(6), e27280. https://doi.org/10.2196/27280
• *Güldal, Ş., Kılıçoğlu, N. A., & Kasapoğlu, F. (2022). Psychological flexibility, coronavirus anxiety, humor and social media addiction during COVID-19 pandemic in Turkey. International Journal for the Advancement of Counselling, 44(2), 220–242. https://doi.org/10.1007/s10447-021-09461-x
• *Guner, H. (2021). Moderator effect of COVID-19 fear on “mediating role of boredom proneness in relationship between internet addiction and DASS-21.” Educational Process: International Journal, 10(2), 83–99. https://dx.doi.org/10.22521/edupij.2021.102.5
• *Hallauer, C. J., Rooney, E. A., Yang, H., Meng, Q., Montag, C., & Elhai, J. D. (2021). Anxiety sensitivity mediates relations between anxiety (but not depression) and problematic smartphone use severity, adjusting for age and sex, in Chinese adolescents early in the COVID-19 pandemic. Human Behavior and Emerging Technologies, 3(5), 788–797. https://doi.org/10.1002/hbe2.319
• *Hao, Z., Jin, L., Huang, J., & Wu, H. (2022). Stress, academic burnout, smartphone use types and problematic smartphone use: The moderation effects of resilience. Journal of Psychiatric Research, 150, 324–331. https://doi.org/10.1016/j.jpsychires.2022.03.019
• *Hao, Z., Jin, L., Huang, J., Lyu, R., & Cui, Q. (2021). Academic burnout and problematic smartphone use during the COVID-19 pandemic: The effects of anxiety and resilience. Frontiers in Psychiatry, 12, 725740. https://doi.org/10.3389/fpsyt.2021.725740
• Hashemi, S. G. S., Hosseinnezhad, S., Dini, S., Griffiths, M. D., Lin, C. Y., & Pakpour, A. H. (2020). The mediating effect of the cyberchondria and anxiety sensitivity in the association between problematic internet use, metacognition beliefs, and fear of COVID-19 among Iranian online population. Heliyon, 6(10), e05135. https://doi.org/10.1016/j.heliyon.2020.e05135
• Ho, R. C., Zhang, M. W. B., Tsang, T. Y., Toh, A. H., Pan, F., Lu, Y., … Mak, K.-K. (2014). The association between internet addiction and psychiatric co-morbidity: a meta-analysis. BMC Psychiatry, 14(1), 183. https://doi.org/10.1186/1471-244X-14-183
• *Jahan, I., Hosen, I., Al Mamun, F., Kaggwa, M. M., Griffiths, M. D., & Mamun, M. A. (2021). How has the COVID-19 pandemic ımpacted ınternet use behaviors and facilitated problematic ınternet use? A Bangladeshi study. Psychology Research and Behavior Management, 14, 1127–1138. https://doi.org/10.2147/PRBM.S323570
• Jiang, R. (2020). Knowledge, attitudes and mental health of university students during the COVID-19 pandemic in China. Children and Youth Services Review, 119, 105494. https://dx.doi.org/10.1016%2Fj.childyouth.2020.105494
• *Jiang, M., Zhao, Y., Wang, J., Hua, L., Chen, Y., Yao, Y., & Jin, Y. (2022). Serial multiple mediation of the correlation between ınternet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic. Psychiatry Investigation, 19(1), 9–15. https://doi.org/10.30773/pi.2021.0147
• *Jin, L., Hao, Z., Huang, J., Akram, H. R., Saeed, M. F., & Ma, H. (2021). Depression and anxiety symptoms are associated with problematic smartphone use under the COVID-19 epidemic: The mediation models. Children and Youth Services Review, 121, 105875. https://doi.org/10.1016/j.childyouth.2020.105875
• *Júnior, L. J. F. S., Ribeiro, C. H. T., de Sousa Fortes, L., Barbosa, B. T., & da Silva Neto, L. V. (2021). Smartphone addiction is associated with symptoms of anxiety, depression, stress, tension, confusion, and insomnia: A cross-sectional and comparative study with physically and non-physically active adults in self-isolation during the COVID-19 pandemic. Salud Mental, 44(4), 193–200. https://doi.org/10.17711/SM.0185-3325.2021.025
• *Karakose, T. (2022). Assessing the relationships between internet addiction, depression, COVID-19-related fear, anxiety, and suspicion among graduate students in educational administration: A structural equation modeling analysis. Sustainability, 14(9), 5356. https://doi.org/10.3390/su14095356
• *Karakose, T., Yirci, R., & Papadakis, S. (2022). Examining the associations between COVID-19-related psychological distress, social media addiction, COVID-19-related burnout, and depression among school principals and teachers through structural equation modeling. International Journal of Environmental Research and Public Health, 19(4), 1951. https://doi.org/10.3390/ijerph19041951
• *Kılınçel, Ş., & Muratdağı, G. (2021). Evaluation of factors affecting social media addiction in adolescents during the COVID-19 pandemic. Annals of Clinical and Analytical Medicine, 12(4), 447–451. https://doi.org/10.4328/ACAM.20541
• King, D. L., Delfabbro, P. H., Billieux, J., & Potenza, M. N. (2020). Problematic online gaming and the COVID-19 pandemic. Journal of Behavioral Addictions, 9(2), 184-186. https://doi.org/10.1556/2006.2020.00016
• Lemenager, T., Neissner, M., Koopmann, A., Reinhard, I., Georgiadou, E., Müller, A., … Hillemacher, T. (2021). COVID-19 lockdown restrictions and online media consumption in Germany. International Journal of Environmental Research and Public Health, 18(1). https://doi.org/10.3390/ijerph18010014
• *Liang, L., Li, C., Meng, C., Guo, X., Lv, J., Fei, J., & Mei, S. (2022). Psychological distress and internet addiction following the COVID-19 outbreak: Fear of missing out and boredom proneness as mediators. Archives of Psychiatric Nursing, 40, 8–14. https://doi.org/10.1016/j.apnu.2022.03.007
• *Lım, K., Zulkıflı, N., Karupıah, G., Mıundy, P., NG, C., & Low, S. (2021). Development of Social Media Addiction Scale for COVID-19 pandemic (SMACOP). Med & Health, 16(2), 237–248. https://doi.org/10.17576/MH.2021.1602.18
• *Lin, C. Y., Broström, A., Griffiths, M. D., & Pakpour, A. H. (2020). Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia. Internet Interventions, 21, 100345. https://doi.org/10.1016/j.invent.2020.100345
• Lin, M. P. (2020). Prevalence of internet addiction during the COVID-19 outbreak and its risk factors among junior high school students in Taiwan. International Journal of Environmental Research and Public Health, 17(22), 8547. https://doi.org/10.3390/ijerph17228547
• Lin, Y. J., Hsiao, R. C., Liu, T. L., & Yen, C. F. (2019). Bidirectional relationships of psychiatric symptoms with internet addiction in college students: A prospective study. Journal of the Formosan Medical Association, 1–8. https://doi.org/10.1016/j.jfma.2019.10.006
• *Liu, H., Zhou, Z., Huang, L., Zhu, E., Yu, L., & Zhang, M. (2022). Prevalence of smartphone addiction and its effects on subhealth and insomnia: a cross-sectional study among medical students. BMC Psychiatry, 22(1), 305. https://doi.org/10.1186/s12888-022-03956-6
• *Liu, S., Zou, S., Zhang, D., Wang, X., & Wu, X. (2022). Problematic Internet use and academic engagement during the COVID-19 lockdown: The indirect effects of depression, anxiety, and insomnia in early, middle, and late adolescence. Journal of Affective Disorders, 309, 9–18. https://doi.org/10.1016/j.jad.2022.04.043
• *Luo, R., Li, Q., Meng, G., Zheng, Y., Hu, K., Zhang, X., … Liu, X. (2022). The association between intolerance of uncertainty and Internet addiction during the second wave of the coronavirus disease 2019 pandemic: A multiple mediation model considering depression and risk perception. PsyCh Journal, 11(3), 383–391. https://doi.org/10.1002/pchj.545
• *Majeed, M., Irshad, M., Fatima, T., Khan, J., & Hassan, M. M. (2020). Relationship between problematic social media usage and employee depression: A moderated mediation model of mindfulness and fear of COVID-19. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.557987
• Malesza, M., & Kaczmarek, M. C. (2020). Predictors of anxiety during the COVID-19 pandemic in Poland. Personality and Individual Differences, 170, 110419. https://doi.org/10.1016/j.paid.2020.110419
• *Milasauskiene, E., Burkauskas, J., Podlipskyte, A., Király, O., Demetrovics, Z., Ambrasas, L., & Steibliene, V. (2021). Compulsive internet use scale: Psychometric properties and associations with sleeping patterns, mental health, and well-being in lithuanian medical students during the coronavirus disease 2019 pandemic. Frontiers in Psychology, 12, 685137. https://doi.org/10.3389/fpsyg.2021.685137
• *Moniri, R., Pahlevani Nezhad, K., & Lavasani, F. F. (2022). Investigating anxiety and fear of COVID-19 as predictors of ınternet addiction with the mediating role of self-compassion and cognitive emotion regulation. Frontiers in Psychiatry, 13, 841870. https://doi.org/10.3389/fpsyt.2022.841870
• Panno, A., Carbone, G. A., Massullo, C., Farina, B., & Imperatori, C. (2020). COVID-19 related distress is associated with alcohol problems, social media and food addiction symptoms: insights from the Italian experience during the lockdown. Frontiers in Psychiatry, 11, 577135. https://doi.org/10.3389/fpsyt.2020.577135
• *Peng, Y., Zhou, H., Zhang, B., Mao, H., Hu, R., & Jiang, H. (2022). Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: The mediating roles of rumination and the moderating role of self-control. Personality and Individual Differences, 185, 111222. https://doi.org/10.1016/j.paid.2021.111222
• Pierce, M., Hope, H., Ford, T., Hatch, S., Hotopf, M., John, A., … Abel, K. M. (2020). Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. The Lancet Psychiatry, 7(10), 883–892. https://doi.org/10.1016/S2215-0366(20)30308-4
• Planchuelo-Gómez, Á., Odriozola-González, P., Irurtia, M. J., & de Luis-García, R. (2020). Longitudinal evaluation of the psychological impact of the COVID-19 crisis in Spain. Journal of Affective Disorders, 277, 842–849. https://doi.org/10.1016/j.jad.2020.09.018
• Prakash, S., Yadav, J. S., & Singh, T. B. (2020). An online cross-sectional study to assess the prevalence of internet addiction among people staying at their home during lockdown due to COVID-19. Int J Indian Psychol, 8(3), 424–432. https://doi.org/10.25215/0803.052
• Priego-Parra, B. A., Triana-Romero, A., Pinto-Gálvez, S. M., Ramos, C. D., Salas-Nolasco, O., Reyes, M. M., … Remes-Troche, J. M. (2020). Anxiety, depression, attitudes, and internet addiction during the initial phase of the 2019 coronavirus disease (COVID-19) epidemic: A cross-sectional study in México. MedRxiv. https://doi.org/10.1101/2020.05.10.20095844
• *Prodanova, J., & Kocarev, L. (2021). Is job performance conditioned by work-from-home demands and resources? Technology in Society, 66, 101672. https://doi.org/10.1016/j.techsoc.2021.101672
• *Sediri, S., Zgueb, Y., Ouanes, S., Ouali, U., Bourgou, S., Jomli, R., & Nacef, F. (2020). Women’s mental health: acute impact of COVID-19 pandemic on domestic violence. Archives of Women’s Mental Health, 23(6), 749–756. https://doi.org/10.1007/s00737-020-01082-4
• *Seyed Hashemi, S. G., Hosseinnezhad, S., Dini, S., Griffiths, M. D., Lin, C.-Y., & Pakpour, A. H. (2020). The mediating effect of the cyberchondria and anxiety sensitivity in the association between problematic internet use, metacognition beliefs, and fear of COVID-19 among Iranian online population. Heliyon, 6(10), e05135. https://doi.org/10.1016/j.heliyon.2020.e05135
• *Singh, S., Datta, M., Gupta, P., & Batra, S. (2022). Predictors of ‘problematic internet use’ among adolescents and adults amid the pandemic in India. Clinical Epidemiology and Global Health, 15, 101036. https://doi.org/10.1016/j.cegh.2022.101036
• Siste, K., Hanafi, E., Lee Thung Sen, H. C., Adrian, L. P. S., Limawan, A. P., Murtani, B. J., & Suwartono, C. (2020). The impact of physical distancing and associated factors towards internet addiction among adults in Indonesia during COVID-19 pandemic: A nationwide web-based study. Frontiers in Psychiatry, 11, 580977. https://doi.org/10.3389/fpsyt.2020.580977
• *Song, Y., Sznajder, K., Cui, C., Yang, Y., Li, Y., & Yang, X. (2022). Anxiety and its relationship with sleep disturbance and problematic smartphone use among Chinese medical students during COVID-19 home confinement — A structural equation model analysis. Journal of Affective Disorders, 296, 315–321. https://doi.org/10.1016/j.jad.2021.09.095
• Statista. (2021). Coronavirus: impact on online usage in the U.S. - Statistics & Facts. Retrieved from https://www.statista.com/topics/6241/coronavirus-impact-on-online-usage-in-the-us/
• Sun, Y., Li, Y., Bao, Y., Meng, S., Sun, Y., Schumann, G., … Shi, J. (2020). Brief report: increased addictive internet and substance use behavior during the COVID‐19 pandemic in China. The American Journal on Addictions, 29(4), 268–270. https://doi.org/10.1111/ajad.13066
• *Taş, F. (2022). Perceived stress, social support and social media addiction in university students during the COVID-19 pandemic. Journal of Dependence, 23(1), 95–104. https://doi.org/10.51982/bagimli.983412
• *Teng, Z., Pontes, H. M., Nie, Q., Griffiths, M. D., & Guo, C. (2021). Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study. Journal of Behavioral Addictions, 10(1), 169–180. https://doi.org/10.1556/2006.2021.00016
• *Ting, C. H., & Essau, C. (2021). Addictive behaviours among university students in Malaysia during COVID-19 pandemic. Addictive Behaviors Reports, 14, 100375. https://doi.org/10.1016/j.abrep.2021.100375
• *Vismara, M., Vitella, D., Biolcati, R., Ambrosini, F., Pirola, V., Dell’Osso, B., & Truzoli, R. (2021). The impact of COVID-19 pandemic on searching for health-related ınformation and cyberchondria on the general population in Italy. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.754870
• *Wegmann, E., Brandtner, A., & Brand, M. (2021). Perceived strain due to COVID-19-related restrictions mediates the effect of social needs and fear of missing out on the risk of a problematic use of social networks. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.623099
• World Health Organization. (2022a). Advice for the public: Coronavirus disease (COVID-19). Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public
• World Health Organization. (2022b). WHO coronavirus (COVID-19) dashboard. Retrieved from https://covid19.who.int/?mapFilter=cases
• *Zalewska, A., Gałczyk, M., Sobolewski, M., & Białokoz-Kalinowska, I. (2021). Depression as compared to level of physical activity and internet addiction among Polish physiotherapy students during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18. https://doi.org/10.3390/ijerph181910072
• *Zhang, Y., Hou, Z., Wu, S., Li, X., Hao, M., & Wu, X. (2022). The relationship between internet addiction and aggressive behavior among adolescents during the COVID-19 pandemic: Anxiety as a mediator. Acta Psychologica, 227, 103612. https://doi.org/10.1016/j.actpsy.2022.103612
• *Zwilling, M. (2022). The impact of nomophobia, stress, and loneliness on smartphone addiction among young adults during and after the COVID-19 pandemic: An Israeli case analysis. Sustainability, 14. https://doi.org/10.3390/su14063229