COVID-19 lockdown related stress among young adults: The role of drug use disorder, neurotic health symptoms, and pathological smartphone use

References

• Abd Rahim, N. A., Siah, Y. H., Tee, X. Y., & Siah, P. C. (2021). Smartphone addiction: Its relationship to personality traits and types of smartphone use. International Journal of Technology in Education and Science, I(1), 128–140. https://doi.org/10.46328/ijtes.165
   Google Scholar
• Abramowitz, J. S., & Deacon, B. J. (2006). Psychometric properties and construct validity of the obsessive–compulsive inventory—Revised: Replication and extension with a clinical sample. Journal of Anxiety Disorders, 20(8), 1016–1035. https://doi.org/10.1016/j.janxdis.2006.03.001
   PubMed Web of Science ®Google Scholar
• Ahorsu, D. K., Lin, C.-Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2022). The fear of COVID-19 scale: Development and initial validation. International Journal of Mental Health and Addiction, 20(3), 1537–1545. https://doi.org/10.1007/s11469-020-00270-8
   PubMed Web of Science ®Google Scholar
• Alageel, A. A., Alyahya, R. A., Bahatheq, Y. A., Alzunaydi, N. A., Alghamdi, R. A., Alrahili, N. M., McIntyre, R. S., & Iacobucci, M. (2021). Smartphone addiction and associated factors among postgraduate students in an Arabic sample: A cross-sectional study. Biomedcentral Psychiatry, 21(302), 1–10. https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-021-03285-0
   PubMedGoogle Scholar
• Alhassan, A. A., Alqadhib, E. M., Taha, N. W., Alahmari, R. A., Salam, M., & Almutairi, A. F. (2018). The relationship between addiction to smartphone usage and depression among adults: A cross sectional study. Biomedcentral Psychiatry, 18(148). https://doi.org/10.1186/s12888-018-1745-4
   PubMedGoogle Scholar
• Alimoradi, Z., Ohayon, M. M., Griffiths, M. D., Lin, C.-Y., & Pakpour, A. H. (2022). Fear of COVID-19 and its association with mental health related factors: A systematic review and meta-analysis. BJPsych Open, 8(2), e73. https://doi.org/10.1192/bjo.2022.26
   PubMed Web of Science ®Google Scholar
• Alkhateeb, A., Alboali, R., Alharbi, W., & Saleh, O. (2020). Smartphone addiction and its complications related to health and daily activities among university students in Saudi Arabia: A multicenter study. Journal of Family Medicine and Primary Care, 9(7), 3220–3224. https://doi.org/10.4103/jfmpc.jfmpc_1224_19
   PubMedGoogle Scholar
• Alvarez, E. (2020). COVID-19 concerns lead to unusual bans in Dallas County. Retrieved July 7, 2022, from https://www.wfaa.com/article/news/health/coronavirus/covid-19-concerns-lead-tounusual-bans-in-dallas-county/287-a8a50a42-7e86-4094-82a4-6ca5aeb80e5e
   Google Scholar
• American Psychiatric Association. (2014). DSM-5. Manual Diagnóstico y Estadístico de Los Trastornos Mentales. Editorial Médica Panamericana.
   Google Scholar
• Ataş, A. H., & Çelik, B. (2019). Smartphone use of university students: Patterns, purposes, and situations. Malaysian Online Journal of Educational Technology, 7(2), 58–70 http://dx.doi.org/10.17220/mojet.2019.02.004
   Google Scholar
• Azaka, L. (2021). Combating smartphones addiction. Bournemouth, UK: Bournemouth University. https://doi.org/10.13140/RG.2.2.32365.61929
   Google Scholar
• Bassey, N. E., Akpaeti, A. J., & Udo, U. J. (2014). Labour choice decisions among cassava crop farmers in Akwa Ibom State, Nigeria. International Journal of Food and Agricultural Economics, 2(3), 145–156. https://www.cabdirect.org/cabdirect/abstract/20143400597
   Google Scholar
• Blasi, M. D., Giardina, A., Giordano, C., Coco, G. L., Tosto, C., Billieux, J., & Schimmenti, A. (2019). Problematic video game use as an emotional coping strategy: Evidence from a sample of MMORPG gamers. Journal of Behavioral Addictions, 8(1), 25–34. https://doi.org/10.1556/2006.8.2019.02
   PubMed Web of Science ®Google Scholar
• Bowden-Green, T., Hinds, J., & Joinson, A. (2021). Understanding neuroticism and social media: A systematic review. Personality and Individual Differences, 168(4), 110344. https://doi.org/10.1016/j.paid.2020.110344
   Web of Science ®Google Scholar
• Campbell, W. G. (2003). Addiction: A disease of volition caused by a cognitive impairment. Canadian Journal of Psychiatry, 48(10), 669–674. https://doi.org/10.1177/070674370304801005
   PubMed Web of Science ®Google Scholar
• Carbonell, X. (2020). El diagnóstico de adicción a videojuegos en el DSM-5 y la CIE-11: Retos y oportunidades para clínicos. Psychology Paper, 41(3), 81–90. https://doi.org/10.23923/pap.psicol2020.2935
   Google Scholar
• Cha, S. S., & Seo, B. K. (2018). Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use. Health Psychology Open, 5(1), 1–15. https://doi.org/10.1177/2055102918755046
   Web of Science ®Google Scholar
• Chanpa, N. B., Kotecha, I., Kumar, P., Tiwari, D. S., Vasavada, D. A., & Bhatt, R. B. (2020). Stigma and discrimination among doctors toward health‑care staff working at COVID‑19 sites. Arch Ment Health, 21(2), 77‑82. https://doi.org/10.4103/AMH.AMH_48_20
   Google Scholar
• Chen, I.-H., Chen, C.-Y., Pakpour, A. H., Griffiths, M. D., & Lin, C.-Y. (2020). Internet-related behaviors and psychological distress among schoolchildren during COVID-19 school suspension. Journal of the American Academy of Child and Adolescent Psychiatry, 159(10), 1099–1102. https://doi.org/10.1016/j.jaac.2020.06.007
   Google Scholar
• Chen, C.-Y., Chen, I.-H., O’Brien, K. S., Latner, J. D., & Lin, C.-Y. (2021a). Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak. International Journal of Obesity, 45(3), 677–686. https://doi.org/10.1038/s41366-021-00741-5
   Web of Science ®Google Scholar
• Chen, I.-H., Chen, C.-Y., Liu, C.-H., Ahorsu, D. K., Griffiths, M. D., Chen, Y.-P., Kuo, Y.-J., Lin, C.-Y., Pakpour, A. H., & Wang, S.-M. (2021b). Internet addiction and psychological distress among Chinese schoolchildren before and during the COVID-19 outbreak: A latent class analysis. Journal of Behavioral Addictions, 10(3), 731–746. https://doi.org/10.1556/2006.2021.00052
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Cheng, J., Burke, M., & Davis, E. G. (2019, May 4-9). Understanding perceptions of problematic Facebook use: When people experience negative life impact and a lack of control. Proceedings of the CHI’19 Conference on human factors in computing systems, Glasgow, UK, pp. 1–13. https://doi.org/10.1145/3290605.3300429
   Google Scholar
• Coghlan, A. J., Gold, S. R., Dohrenwend, E. F., & Zimmerman, R. S. (1973). A psychobehavioral residential drug abuse program: A new adventure in adolescent psychiatry. International Journal of the Addictions, 8(5), 767–777. https://doi.org/10.3109/10826087309071067
   PubMed Web of Science ®Google Scholar
• Costa, P. T., Jr., & McCrae, R. R. (2008). The revised NEO personality inventory (NEO-PI-R). In G. J. Boyle, G. Matthews, & D. H. Saklofske (Eds.), The SAGE handbook of personality theory and assessment, Personality measurement and testing (Vol. 2, pp. 179–198). Sage Publications. https://doi.org/10.4135/9781849200479.n9
   Google Scholar
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
   Web of Science ®Google Scholar
• Dang, S., Penney, L. S., Trivedi, R., Noel, P. H., Pugh, M. J., Finley, E., Pung, J. A., Van Houtven, C. H., & Leykum, L. (2020). Caring for Caregivers During COVID-19. Journal of American Geriatric Society, 68(10), 2197‑2201. https://doi.org/10.1111/jgs.16726
   Web of Science ®Google Scholar
• Ding, D., & Li, J. (2017). Smartphone overuse: A growing public health issue. Journal of Psychology & Psychotherapy, 7(1), 289. https://doi.org/10.4172/2161-0487.1000289
   Google Scholar
• Dubey, M. J., Ghosh, R., Chatterjee, S., Biswas, P., Chatterjee, S., & Dubey, S. (2020). COVID-19 and addiction. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 817–823. https://doi.org/10.1016/j.dsx.2020.06.008
   PubMed Web of Science ®Google Scholar
• Fegert, J. M., Vitiello, B., Plener, P. L., & Clemens, V. (2020). Challenges and burden of the Coronavirus 2019 (COVID-19) pandemic for child and adolescent mental health: A narrative review to highlight clinical and research needs in the acute phase and the long return to normality. Child Adolescence Psychiatry Mental Health, 14(20). https://doi.org/10.1186/s13034-020-00329-3
   Google Scholar
• Fernandes, B., Biswas, U. N., Tan-Mansukhani, R., Vallejo, A., & Essau, C. A. (2020). The impact of COVID-19 lockdown on internet use and escapism in adolescents. Revista de Psicología Clínica con Niños y Adolescentes, 7(3), 59–65. https://doi.org/10.21134/rpcna.2020.mon.2056
   Web of Science ®Google Scholar
• Foddy, B., & Savulescu, J. (2010). Relating addiction to disease, disability, autonomy, and the good life. Philosophy Psychiatry Psychologica, 17(1), 35–42. https://doi.org/10.1353/ppp.0.0284
   Google Scholar
• Fung, X. C. C., Siu, A., Potenza, M. N., O’Brien, K. S., Latner, J. D., Chen, C.-Y., Chen, I.-H., & 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, 675839. https://doi.org/10.3389/fpsyt.2021.675839
   PubMed Web of Science ®Google Scholar
• Gold, S. R., & Coghlan, A. J. (1976). Locus of control and self-esteem among adolescent drug abusers: Effects of residential treatment. Drug Forum, 5(2), 185–191. https://psycnet.apa.org/record/1977-11077-001
   Google Scholar
• Gómez-Galán, J., Martínez-López, J. A., Lázaro-Pérez, C., & Sánchez-Serrano, J. L. S. (2020). Social networks consumption and addiction in college students during the COVID-19 pandemic: Educational approach to responsible use. Sustainability, 12(7737), 1–17. https://doi.org/10.3390/su12187737
   PubMedGoogle Scholar
• Google. (2019). I/O, Public announcement, developer conference, shoreline amphitheatre. Mountain View.
   Google Scholar
• Griffiths, M. D., Van Rooij, A. J., Kardefelt-Winther, D., Starcevic, V., Király, O., Pallesen, S., Müller, K., Dreier, M., Carras, M., Prause, N., King, D. L., Aboujaoude, E., Kuss, D. J., Pontes, H. M., Lopez Fernandez, O., Nagygyorgy, K., Achab, S., Billieux, J., Quandt, T., … Demetrovics, Z. (2016). Working towards an international consensus on criteria for assessing internet gaming disorder: A critical commentary on Petry et al (2014). Addiction, 111(1), 167–175. https://doi.org/10.1111/add.13057
   PubMed Web of Science ®Google Scholar
• Gutiérrez, D-S., J., de Fonseca, R., F., & Rubio, G. (2016). Cell-Phone addiction: A Review. Frontier Psychiatry, 7(175), 1-15. https://doi.org/10.3389/fpsyt.2016.00175
   PubMed Web of Science ®Google Scholar
• Haischer, M. H., Beilfuss, R., Hart, M. R., Opielinski, L., Wrucke, D., Zirgaitis, G., Uhrich, T. D., & Hunter, S. K. (2020). Who is wearing a mask? Gender, age, and location-related differences during the COVID‑19 pandemic. PLoS One, 15(10), e0240785. https://doi.org/10.1371/journal.pone.0240785
   PubMed Web of Science ®Google Scholar
• Herane, B. N., & Niño, M. D. (2021). Understanding how race, ethnicity, and gender shape mask‑wearing adherence during the COVID‑19 pandemic: Evidence form the COVID impact survey. Journal of Racial Ethnics Health Disparities, 19, 1–8. https://doi.org/10.1007/s40615-020-00941-1
   Google Scholar
• Iloma, D. O., Imbur, M. T., & Effiong, J. E. (2017). Dynamics of drug use and experience of stress among students of tertiary institutions in Nigeria. African Journal of Drug & Alcohol Studies, 16(2), 115–126. https://www.ajol.info/index.php/ajdas/issue/view/19729
   Google Scholar
• Iloma, D. O., Nnam, M. U., Effiong, J. E., Eteng, M. J., Okechukwu, G., & Ajah, B. O. (2022). Exploring socio-demographic factors, avoiding being a victim, and fear of crime in a Nigerian university. Security Journal, 1–20. https://doi.org/10.1057/s41284-022-00336-3
   Web of Science ®Google Scholar
• Islam, M. S., Sujan, M. S. H., Tasnim, R., Mohona, R. A., Ferdous, M. Z., Kamruzzaman, S., Toma, T. Y., Sakib, M. N., Pinky, K. N., Islam, M. R., Siddique, M. A. B., Anter, F. S., Hossain, A., Hossen, I., Sikder, M. T., & Pontes, H. M. (2021). Problematic smartphone and social media use among Bangladeshi college and university students amid COVID-19: The role of psychological well-being and pandemic related factors. Frontiers Psychiatry, 12, 647386, 1-12. https://doi.org/10.3389/fpsyt.2021.647386
   PubMed Web of Science ®Google Scholar
• Jacobs, D. F. (1986). A general theory of addictions: A new theoretical model. Journal of Gambling Behaviour, 2(1), 15–31. https://doi.org/10.1007/bf01019931
   Google Scholar
• Kayis, A. R., Satici, B., Deniz, M. E., Satici, S. A., & Griffiths, M. D. (2021). Fear of COVID-19, loneliness, smartphone addiction, and mental wellbeing among the Turkish general population: A serial mediation model. Behaviour & Information Technology, 1–13. https://doi.org/10.1080/0144929X.2021.1933181
   Web of Science ®Google Scholar
• Khubchandani, J., Saiki, D., & Kandiah, J. (2020). Masks, gloves, and the COVID‑19 pandemic: Rapid assessment of public behaviors in the United States. Epidemiologia, 1(1), 16‑22. https://doi.org/10.3390/epidemiologia1010004
   PubMedGoogle Scholar
• Kim, H., Cho, M. K., Ko, H., Yoo, J. E., & Song, Y. M. (2020). Association between Smartphone Usage and Mental Health in South Korean Adolescents: The 2017 Korea Youth Risk Behavior Web-Based Survey. Korean Journal of Family Medicine, 41(2), 98–104. https://doi.org/10.4082/kjfm.18.0108
   PubMed Web of Science ®Google Scholar
• Kim, H. S., Hodgins, D. C., Kim, B., & Wild, T. C. (2020). Transdiagnostic or disorder specific? Indicators of substance and behavioural addictions nominated by people with lived experience. Journal of Clinical Medicine, 9(2), 334–346. https://doi.org/10.3390/jcm9020334
   PubMed Web of Science ®Google Scholar
• Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., Demetrovics, Z., Gjoneska, B., Billieux, J., Brand, M., Abbott, M. W., Chamberlain, S. R., Corazza, O., Burkauskas, J., Sales, C. M. D., Montag, C., Lochner, C., Grünblatt, E., Wegmann, E., … Demetrovics, Z. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Comprehensive Psychiatry, 100, 152180. https://doi.org/10.1016/j.comppsych.2020.152180
   PubMed Web of Science ®Google Scholar
• Krystal, H., & Raskin, H. A. (1970). Drug dependence: Aspects of ego functions. Wayne State University Press.
   Google Scholar
• Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. PloS One, 8(12), e83558. https://doi.org/10.1371/journal.pone.0083558
   PubMed Web of Science ®Google Scholar
• Lazarus, A. (1976). Multi-modal behaviour therapy. Springer.
   Google Scholar
• Legleye, S., Karila, L., Beck, F., & Reynaud, M. (2009). Validation of the CAST, a general population cannabis abuse screening test. Journal of Substance Use, 12(4), 233–242. https://doi.org/10.1080/14659890701476532
   Google Scholar
• Leung, H., Pakpour, A. H., Strong, C., Lin, Y.-C., Tsai, M.-C., Graffiths, M. D., Lin, C.-Y., & Chen, I.-H. (2020). Measurement invariance across young adults from Hong Kong and Taiwan among three Internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application_Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale_Short Form (IGDS-SF9) (Study Part A). Addict Behav, 101, 105969. http://dx.doi.org/10.1016/j.addbeh.2019.04.027
   PubMed Web of Science ®Google Scholar
• Liu, E., & Arledge, S. (2022). Individual characteristics and demographics associated with mask wearing during the COVID-19 pandemic in the United States. Asian Journal of Social Health and Behavior, 5(1), 3–9. https://doi.org/10.4103/shb.shb_148_21
   Google Scholar
• Lopez-Fernandez, O. (2015). Short version of the smartphone addiction scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors, 64, 275–280. http://dx.doi.org/10.1016/j.addbeh.2015.11.013
   PubMed Web of Science ®Google Scholar
• López-Fernández, O., & Kuss, D. (2020). Preventing harmful internet use-related addiction. International Journal of Environmental Resource of Public Health, 17(11), 3797. https://doi.org/10.3390/ijerph17113797
   PubMed Web of Science ®Google Scholar
• López-Fernández, O., & Kuss, D. (2020). Preventing Harmful Internet Use-Related Addiction Problems in Europe: A Literature Review and Policy Options. International Journal of Environmental Resource of Public Health, 17(11), 3797. https://doi.org/10.3390/ijerph17113797
   PubMed Web of Science ®Google Scholar
• Lu, M. Y., Ahorsu, D. K., Kukreti, S., Strong, C., Lin, Y. H., Kuo, Y. J., Chen, Y.-P., Lin, C.-Y., Chen, P.-L., Ko, N.-Y., & Ko, W.-C. (2021). The prevalence of post‑traumatic stress disorder symptoms, sleep problems, and psychological distress among COVID‑19 Frontline Healthcare Workers in Taiwan. Frontiers in Psychiatry, 12, 705657. https://doi.org/10.3389/fpsyt.2021.705657
   PubMed Web of Science ®Google Scholar
• Maestri, L. (2019). Other, Financial Times. Retrieved September 10, 2021, from https://www.ft.com
   Google Scholar
• Mahase, E. (2020). China coronavirus: WHO declares international emergency as death toll exceeds 200. BMJ, 368. https://doi.org/10.1136/bmj.m408
   Google Scholar
• Mahmoudi, H., Saffari, M., Movahedi, M., Sanaeinasab, H., Rashidi‑Jahan, H., Pourgholami, M., Barshan, J., Ghiami, M., Khoshmanesh, S., Potenza, M. N., Lin, C.-Y., & Hakpour, A. H. (2021). A mediating role for mental health in associations between COVID‑19‑related self‑stigma, PTSD, quality of life, and insomnia among patients recovered from COVID-19. Brain Behaviour, 11(5), e02138. https://doi.org/10.1002/brb3.2138
   PubMed Web of Science ®Google Scholar
• Mahoney, M. J. (1977). Reflections on the cognitive learning trend in psychotherapy. American Psychologist, 32(1), 5–13. https://doi.org/10.1037/0003-066X.32.1.5
   PubMed Web of Science ®Google Scholar
• Marciano, L., Camerini, A.-L., & Schulz, P. J. (2020). Neuroticism in the digital age: A meta-analysis. Computers in Human Behavior Reports, 2, 100026. Article. https://doi.org/10.1016/j.chbr.2020.100026
   Google Scholar
• Marciano, L., Camerini, A.-L., & Schulz, P. J. (2022). Neuroticism and internet addiction: What is next? A systematic conceptual review. Personality and Individual Differences, 182(4), 1–10. https://doi.org/10.1016/j.paid.2021.111260
   Google Scholar
• Matsumoto, T., Usami, T., Yamamoto, T., Funada, D., Murakami, M., Okita, K., & Shimane, T. (2021). Impact of COVID −19-related stress on methamphetamine users in Japan. Psychiatry and Clinical Neurosciences, 75(7), 236–238. https://doi.org/10.1111/pcn.13220
   PubMed Web of Science ®Google Scholar
• Mccrann, S., Loughman, J., Butler, J. S., Paudel, N., & Flitcroft, D. I. (2021). Smartphone use as a possible risk factor for myopia. Clinical and Experimental Optometry, 104(1), 35–41. https://doi.org/10.1111/cxo.13092
   PubMed Web of Science ®Google Scholar
• McKay, D. (2020). COVID-19 stress and substance use: Current issues and future preparations. Journal of Anxiety Disorders, 74, 102274. https://doi.org/10.1016/j.janxdis.2020.102274
   PubMed Web of Science ®Google Scholar
• Montag, C., Sindermann, C., Rozgonjuk, D., Yang, S., Elhai, J. D., & Yang, H. (2021). Investigating links between fear of COVID-19, neuroticism, social networks use disorder, and smartphone use disorder tendencies. Frontiers in Psychology, 12, 682837, 1-9. https://doi.org/10.3389/fpsyg.2021.682837
   Web of Science ®Google Scholar
• National Population Projection. (2016). Project population. Retrieved October 3, 2021, from https://www.google.com/search?q=Akwa+Ibom+State+population+projection&ie=utf-8&oe=utf-8&client=firefox-b-m
   Google Scholar
• Nelson, E. E., & Nnam, M. U. (2020). “ … I can use any syringe I find”: Contextual determinants of HIV risk in public injecting settings in Nigeria. Drugs and Alcohol Today, 20(4), 371–381. https://doi.org/10.1108/DAT-05-2020-0031
   Web of Science ®Google Scholar
• Nigeria Centre for Disease Control. (2020, June 27). COVID-19 Nigeria. Retrieved September 10, 2021, from https://covid19.ncdc.gov.ng/
   Google Scholar
• Nigeria Centre for Disease Control. (2021, August 20). COVID-19 Nigeria. Retrieved September 10, 2021, from https://covid19.ncdc.gov.ng/
   Google Scholar
• Nnam, M. U., Owan, E. J., Idike, A. N., Ibiam, O. E., Agboti, C. I., Kanu, C., & Okechukwu, G. (2020). Voices from ‘Igbo Bunks’: A qualitative study of the complicity of law-enforcement agents in marijuana use in a Nigerian Community. International Journal of Law, Crime and Justice, 62, 100411. https://doi.org/10.1016/j.ijlcj.2020.100411
   Web of Science ®Google Scholar
• Nnam, M. U., Ordu, G. E. O., Ukah, J. A., Eteng, M. J., Arua, C. C., Okechukwu, G., & Obasi, C. O. (2021). ‘When I take drugs, I don’t care’: Insights into the operational dynamics of male violent offenders in a correctional centre. International Journal of Offender Therapy and Comparative Criminology, 1–21. https://doi.org/10.1177/0306624X211022653
   Web of Science ®Google Scholar
• Nordenfelt, L. (2010). On concepts and theories of addiction. Philosophy Psychiatry Psychologica, 17(1), 27–30. https://doi.org/10.1353/ppp.0.0271.
   Google Scholar
• Ornell, F., Moura, H. F., Scherer, J. N., Pechansky, F., Kessler, F. H. P., & von Diemen, L. (2020). The COVID-19 pandemic and its impact on substance use: Implications for prevention and treatment. Psychiatry Resources, 289, 113096. https://doi.org/10.1016/j.psychres.2020.113096
   PubMed Web of Science ®Google Scholar
• Osahon, I. R., & Memudu, A. E. (2020). Perception and healthy attitudes of Nigerians to Covid-19. Acta Scientific Medical Sciences, 4(6), 18–19. https://actascientific.com/ASMS/pdf/ASMS-04-0637.pdf
   Google Scholar
• Osailan, A. (2021). The relationship between smartphone usage duration (using smartphone’s ability to monitor screen time) with hand-grip and pinch-grip strength among young people: An observational study. BMC Musculoskeletal Disorder, 22(1), 186–193. https://doi.org/10.1186/s12891-021-04054-6
   PubMed Web of Science ®Google Scholar
• Pakpour, A. H., Liu, C. H., Hou, W. L., Chen, Y. P., Li, Y. P., Kuo, Y. J., Lin, C.-Y., & Scarf, D. (2021). Comparing fear of COVID‑19 and preventive COVID‑19 infection behaviors between Iranian and Taiwanese older people: Early reaction may be a key. Frontiers in Public Health, 9, 740333. https://doi.org/10.3389/fpubh.2021.740333
   PubMed Web of Science ®Google Scholar
• Papageorge, N., Zahn, M. V., Belot, M., van den Broek‑altenburg, E., Choi, S., Jamison, J. C., & Tripodi, E. (2021). Sociodemographic factors associated with self‑protecting behavior during the COVID‑19 pandemic. Journal of Population Economics, 34(2), 691‑738. https://doi.org/10.1007/s00148-020-00818-x
   PubMed Web of Science ®Google Scholar
• Parasuraman, S., Sam, A. T., Yee, S. W. K., Chuon, B. L. C., & Ren, L. Y. (2017). Smartphone usage and increased risk of mobile phone addiction: A concurrent study. International Journal of Pharmacology Investment, 7(3), 125–131. https://doi.org/10.4103/jphi.JPHI_56_17
   PubMedGoogle Scholar
• Pera, A. (2020). The Psychology of Addictive Smartphone Behavior in Young Adults: Problematic Use, Social Anxiety, and Depressive Stress. Frontiers in Psychiatry, 11, 573473. https://doi.org/10.3389/fpsyt.2020.573473
   PubMed Web of Science ®Google Scholar
• Polat, S., Petekkaya, E., & Göker, P. (2021). A literature review on the effects of the smartphone use from anatomy point of view. Archives Medical Review Journal, 30(4), 236–242. https://doi.org/10.17827/aktd.966354
   Google Scholar
• Prasiska, D. I., Muhlis, A. A., & Megatsari, H. (2022). Effectiveness of the emergency public activity restrictions on COVID-19 epidemiological parameter in East Java Province, Indonesia: An ecological study. Asian Journal of Social Health and Behavior, 5(1), 33–39. https://doi.org/10.4103/shb.shb_90_21
   Google Scholar
• Rammstedt, B., & John, O. P. (2007). Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41(1), 203–212. https://doi.org/10.1016/j.jrp.2006.02.001
   Web of Science ®Google Scholar
• Rieger, M. O. (2020). To wear or not to wear? Factors influencing wearing face masks in Germany during the COVID‑19 pandemic. Social Health Behaviour, 3(2), 50‑54. https://doi.org/10.4103/SHB.SHB_23_20
   Google Scholar
• Robinson, L., Smith, M., & Segal, J. (2020). Smartphone addiction. Retrieved September 10, 2021, from https://www.helpguide.org/articles/addictions/smartphone-addiction.htm
   Google Scholar
• Rogers, R. W., & Prentice-Dunn, S. (1997). Protection motivation theory. In D. S. Gochman (Ed.), Handbook of health behaviour research 1: Personal and social determinants (pp. 113–132). Plenum Press.
   Google Scholar
• Sandya, P. D., Shetty, K. V., Jaise, J., Manikappa, S. K., & Pai, N. B. (2022). Stress and burden among caregivers of persons with bipolar affective disorder during the COVID-19 pandemic in India. Asian Journal of Social Health and Behaviour, 5(2), 51–56. https://doi.org/10.4103/shb.shb_158_21
   Google Scholar
• Sangma, R. D., Kumar, P., Nerli, L. M., Khanna, A. M., Vasavada, D. A., & Tiwari, D. S. (2022). Social stigma and discrimination in Coronavirus Disease-2019 survivors and its changing trend: A longitudinal study at tertiary care center Gujarat, India. Asian Journal of Social Health and Behavior, 5(2), 68–74. https://doi.org/10.4103/shb.shb_12_22
   Google Scholar
• Sarwar, M., & Soomro, T. R. (2013). Impact of smartphone’s on society. European Journal of Science Resources, 98(2), 216–226.http://www.europeanjournalofscientificresearch.com
   Google Scholar
• Savci, A., Damar, H. T., Comez, S., & Bilik, O. (2021). Effects of smartphone addiction and cyberloafing behaviour of nursing students on their clinical decision-making during clinical practice. International Journal of Caring Sciences, 14(1), 534–542.
   Google Scholar
• Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016). Social networking sites, depression, and anxiety: A systematic review. JMIR Mental Health, 3(4), 50–64. https://doi.org/10.2196/mental.5842
   PubMed Web of Science ®Google Scholar
• Singh, B., Singh, P., Singh, U., Jangid, P., & Gupta, R. (2020). Students’ perceived stress and internet addiction during the Lockdown in India. Individual Journal of Private Psychiatry, 14(1), 30–34. https://doi.org/10.5005/jp-journals-10067-0055
   Google Scholar
• Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19(356), 1–10. https://doi.org/10.1186/s12888-019-2350-x
   PubMedGoogle Scholar
• Solecki, S. (2020). The smart use of smartphones in pediatrics. Journal of Pediatric Nursing, 55, 6–9. https://doi.org/10.1016/j.pedn.2020.06.001
   PubMed Web of Science ®Google Scholar
• Statista. (2021a). Smartphone users worldwide. Retrieved December 10, 2020, from www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/2016–2021
   Google Scholar
• Statista. (2021b). Internet users in the world 2021. Retrieved September 10, 2021, from https://www.statista.com/statistics/617136/digital-population-worldwide/
   Google Scholar
• Sun, Y., Li, Y., Bao, Y., Meng, S., Sun, Y., Schumann, G., & Shi, J. (2020). Brief report: Increased addictive internet and substance use behaviour during the COVID‐19 pandemic in China. The American Journal on Addictions, 29(4), 268–270. https://doi.org/10.1111/ajad.13066
   PubMed Web of Science ®Google Scholar
• Sussman, S., & Sussman, A. N. (2011). Considering the definition of addiction. International Journal of Environment Resource and Public Health, 8(10), 4025–4038. https://doi.org/10.3390/ijerph8104025
   PubMed Web of Science ®Google Scholar
• Taylor, S. (2019). The psychology of pandemics: Preparing for the next global outbreak of infectious disease. Cambridge Scholars Publishing.
   Google Scholar
• Taylor, S., Landry, C., Paluszek, M., Fergus, T. A., McKay, D., & Asmundson, G. J. G. (2020). Development and initial validation of the COVID stress scales. Journal of Anxiety Disorders, 72, 1–32. https://doi.org/10.1016/j.janxdis.2020.102232
   Web of Science ®Google Scholar
• Toh, S. H., Coenen, P., Howie, E. K., Mukherjee, S., Mackey, D. A., & Straker, L. M. (2019). Mobile touch screen device use and associations with musculoskeletal symptoms and visual health in a nationally representative sample of Singaporean adolescents. Ergonomics, 62(6), 778–793. https://doi.org/10.1080/00140139.2018.1562107
   PubMed Web of Science ®Google Scholar
• Trąbczyński, P. K., Isurina, G. L., & Grandilevskaya, I. V. (2019). The experience of using the Neurotic Personality Questionnaire KON-2006 in Russia. Archives of Psychiatry and Psychotherapy, 21(1), 74–86. https://doi.org/10.12740/APP/104379
   Web of Science ®Google Scholar
• Udonquak, A. (2020, April 2). Akwa Ibom rejects NCDC test results on five coronavirus cases. Business Day. Retrieved September 10, 2021, from https://www.google.com/amp/s/businessday.ng/coronavirus/article/akwa-ibom-rejects-ncdc-test-result-on-five-covid-19-cases/amp/
   Google Scholar
• Viplav, V. (2020). Health care workers are facing several challenges during COVID‑19 pandemic. The Times of India. Retrieved July 7, 2022, from https://timesofindia.indiatimes.com/readersblog/newspost/health-care-workers-are-facing-several-challenges-during-covid-19-pandemic-dr-prof-raju-vaishya-11529/
   Google Scholar
• Volkow, N. D. (2020). Collision of the COVID-19 and addiction epidemics. Annual International Medicine, 173(1), 61–62. https://doi.org/10.7326/M20-1212
   PubMed Web of Science ®Google Scholar
• Wong, H. Y., Mo, H. Y., & Potenza, M. N. (2020). Relationships between severity of Internet gaming disorder, severity of problematic social media use, sleep quality and psychological distress. International Journal of Environmental Research and Public Health, 17(6), 1879. https://doi.org/10.3390/ijerph17061879
   PubMed Web of Science ®Google Scholar
• World Health Organisation. (2018). ICD-11: International statistical classification of diseases and related health problems (11th ed.).
   Google Scholar
• World Health Organisation. (2020a). Coronavirus disease (COVID-2019): Situation report. Retrieved July 7, 2022, from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200401-sitrep-72-covid-19.pdf?sfvrsn¼3dd8971b_2
   Google Scholar
• World Health Organisation. (2020b). A guide to preventing and addressing social stigma associated with COVID‑19. Retrieved July 7, 2022, from https://www.who.int/publications/m/item/a-guide-to-preventing-and-addressing-social-stigma-associated-with-covid-19
   Google Scholar
• Xiang, M., Zhang, Z., & Kuwahara, K. (2020). Impact of COVID-19 pandemic on children and adolescents’ lifestyle behaviour larger than expected. Progress in Cardiovascular Diseases, 63(4), 531–532. https://doi.org/10.1016/j.pcad.2020.04.013
   PubMed Web of Science ®Google Scholar
• Yang, X., Hu, H., Zhao, C., Xu, H., Tu, X., & Zhang, G. (2021). A longitudinal study of changes in smart phone addiction and depressive symptoms and potential risk factors among Chinese college students. Biomedcentral Psychiatry, 21(252), 1–9. https://doi.org/10.1186/s12888-021-03265-4
   PubMedGoogle Scholar
• Zhang, M. X., Chen, J. H., Tong, K. K., Yu, E. W. Y., & Wu, A. M. S. (2021). Problematic smartphone use during the COVID-19 Pandemic: Its association with pandemic-related and generalized beliefs. International Journal of Environmental Research, 18(11), 1–11. https://doi.org/10.3390/ijerph18115724
   Web of Science ®Google Scholar
• Zhao, C., Xu, H., Lai, X., Yang, X., Tu, X., Ding, N., Lv, Y., & Zhang, G. (2021). Effects of online social support and perceived social support on the relationship between perceived stress and problematic smartphone usage among Chinese undergraduates. Psychology Research and Behavior Management, 14, 529–539. https://doi.org/10.2147/PRBM.S302551
   PubMed Web of Science ®Google Scholar