ADOLESCENTS’ INVOLVEMENT IN SOCIAL MEDIA: BEFORE AND DURING COVID-19 PANDEMIC
Abstract
Social media are an indispensable modern adolescents’ daily ritual. The present study investigates the specifics of social media influence on the adolescents’ psychological wellbeing in everyday life and during Covid-19. The research hypothesis stated that excessive social media use could provide loneliness, depression, and lack of sleep. The investigation is based on data received from interviews, questionnaires, and statistical analysis. A group of 516 psychology and medical students (78.8% females, 21.2% males) aged 15-21 took part in the study via Google Form survey conducted in Odesa I.I. Mechnikov National University, Ukraine. The participants’ overall well-being, loneliness, level of stress were assessed in correlation with personality characteristics and tendency to social media disorder. The obtained results showed that the more time adolescents spend on social media, the more real-life relationships decrease due to online isolation in social terms. The predictors of social media disorder are difficulties in relationships with family, time spent on social media and psycho-emotional background. It is determined that the social media use creates the illusion of participation and importance for a large circle of people. The study provides evidence that the unsatisfactory level of modern adolescents’ well-being can be explained by the passive use of social media, which provokes emotional lability, irritability, depression, and sleep deprivation.
References
Adolescence: A period needing special attention. (2014). Health for the World’s adolescents report. Geneva: World Health Organization; Available at: http://apps.who.int/adolescent/second-decade/section2/page1/recognizing-adolescence.html.
Bech P. (2004). Measuring the dimensions of psychological general well-being by the WHO-5. QoL Newsletter, 32, 15-16.
Buffardi, E. L., & Campbell, W. K. (2008). Narcissism and social networking web sites. Personality and Social Psychology Bulletin, 34, 1303-1314. https://doi.org/10.1177/0146167208320061
Cain N., Gradisar M. (2010). Electronic media use and sleep in school-aged children and adolescents: A review. Sleep Med. Sep, 11 (8), 735-42. https://doi.org/10.1016/j.sleep.2010.02.006. Epub 2010 Jul 29. et al
Cheung, Christy & Chiu, Pui-Yee & Lee, Matthew. (2011). Online Social Networks: Why do Students use Facebook? Computers in Human Behavior. 27. 1337-1343. 10.1016 / j.chb.2010.07.028.
Eijnden, Regina & Lemmens, Jeroen & Valkenburg, Patti. (2016). The Social Media Disorder Scale: Validity and psychometric properties. Computers in Human Behavior. 61. 478-487. 10.1016/j.chb.2016.03.038.
Exelmans L, Van den Bulck J. (2016). The use of media as a sleep aid in adults. Behav Sleep Med, 14 (2), 121-133. https://doi.org/10.1080/15402002.2014.963582.
Fahrenberg, J., Hampel, R. & Selg, H. (2010). Freiburger Persönlichkeitsinventar (8., erweiterte Aufl.). Göttingen: Hogrefe.
Gringras P, Middleton B, Skene DJ, Revell VL. (2015). Bigger, brighter, bluer-better? current light-emitting devices - adverse sleep properties and preventive strategies. Front Public Health, 3, 233. https://doi.org/10.3389/fpubh.2015.00233.
IBM Corp. (2015). IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp
Kaur, R. & Bashir, H. (2015). Impact of Social Media on Mental Health of Adolescents. International Journal of Education, 5, 22-29. https://doi.org/10.25215/0403.134
Korchagina S.G. (2008). The psychology of loneliness: a textbook. - Moscow: Moscow Psychological and Social Institutе.
Masi, C. M., Chen, H. Y., Hawkley, L. C., & Cacioppo, J. T. (2011). A meta-analysis of interventions to reduce http://hes.ccsenet.org Higher Education Studies Vol. 9, no. 2; 2019 20 loneliness. Personality and Social Psychology Review, 15 (3), 219-266. https://doi.org/10.1177/1088868310377394
Rosen, L. D., Cheever, N. A., & Carrier, L. M. (2012). iDisorder: Understanding our obsession with technology and overcoming its hold on us. New York, NY: Palgrave Macmillan
Sampasa-Kanyinga Hugues and Lewis Rosamund F. (2015). Frequent Use of Social Networking Sites Is Associated with Poor Psychological Functioning Among Children and Adolescents. Cyberpsychology, Behavior, and Social Networking, 18(7), 380-385.http://doi.org/10.1089/cyber.2015.0055
Society for Adolescent Health and Medicine (2017). Young Adult Health and Well-Being: A Position Statement of the Society for Adolescent Health and Medicine. The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 60(6), 758–759. https://doi.org/10.1016/j.jadohealth.2017.03.021
Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007). The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): Development and UK validation. Health and Quality of Life Outcomes, 5, Article 63. https://doi.org/10.1186/1477-7525-5-63
Topp, Christian & Østergaard, Søren & Søndergaard, Susan & Bech, Per. (2015). The WHO-5 Well-Being Index: A systematic review of the literature. Psychotherapy and psychosomatics, 84, 167-176. https://doi.org/10.1159/000376585
Van den Bulck J. (2004) Television viewing, computer game playing, and Internet use and self-reported time to bed and time out of bed in secondary-school children. Sleep.; 27 (1): 101–4.
Wilson, K., Fornasier, S., & White, K. M. (2010). Psychological predictors of young adults’ use of social networking sites. Cyberpsychology, Behavior, and Social Networking, 13, 173-177. https://doi.org/10.1089/cyber.2009.0094
World Health Organization. (2002). Breastfeeding and maternal medication : recommendations for drugs in the Eleventh WHO Model List of Essential Drugs. World Health Organization. https://apps.who.int/iris/handle/10665/62435
World Health Organization. (2005). Nutrition in adolescence : issues and challenges for the health sector : issues in adolescent health and development. World Health Organization. https://apps.who.int/iris/handle/10665/43342
Yao, M. Z., & Zhong, Z. J. (2014). Loneliness, social contacts and Internet addiction: A cross-lagged panel study. Computers in Human Behavior, 30, 164-170. https://doi.org/10.1016/j.chb.2013.08.007
Yen, Ju-Yu & Ko, Chih-Hung & Wu, Hsiu-Yueh & Yang, Ming-Jen. (2007). The Comorbid Psychiatric Symptoms of Internet Addiction: Attention Deficit and Hyperactivity Disorder (ADHD), Depression, Social Phobia, and Hostility. The Journal of adolescent health: official publication of the Society for Adolescent Medicine, 41, 93-8. https://doi.org/10.1016/j.jadohealth.2007.02.002. PubMed: 17577539
Young, N. L., Kuss, D. J., Griffiths, M. D., & Howard, C. J. (2017). Passive Facebook use, Facebook addiction, and associations with escapism: An experimental vignette study. Computers in Human Behavior, 71, 24–31.
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