Internet Addiction and Quality of Life of Adolescents Who Apply to Family Medicine Outpatient Clinics During the COVID-19 Pandemic Process

Year 2021, , 282 - 288, 01.09.2021

Ece Özaykan Emin Pala , Suleyman Ersoy

https://doi.org/10.19127/bshealthscience.897980

Abstract

The aim of the study was to evaluate the internet addiction and quality of life of adolescents admitted to family medicine outpatient clinics and to examine the relationship between this situation and the pandemic process. This cross-sectional study included 126 adolescent who applied to Family Medicine Polyclinics between July 10 and September 10, 2020. A socio demographic questionnaire, young internet addiction scale (YIAT-SF), World Health Organization Quality of Life Short form, Turkish Version (WHOQOL-BREF-TR) were applied to determine the level of internet addiction and quality of life by calculation of total score. 50% of the adolescents in our study were females and 50% were males. The mean age was 13.2 years ± 3.2 years (median: 13 years) and 82 of the children (65.08%) were attending primary school-secondary school, and 44 (34.92%) were attending high school. In the survey, it was seen that they had less social friendship and playing on the street as their social environment are based on social media. It was seen that 87% of the adolescents who participated in the survey had internet connection at home. The use of social media during the pandemic process increased and even adolescents who did not post anything in the social media before the pandemic process shared their posts more frequently. During the pandemic process, sleep disturbances, increased daily sleep hours and weight gain was observed. In the Covid-19 period an increase in internet addiction and a decrease in the quality of life were seen in adolescents.

Keywords

: Covid-19, Internet Addiction, Adolescent, Quality of life

References

• Banerjee D. 2020. The COVID-19 outbreak: Crucial role the psychiatrists can play. Asian J Psychiatry, 50: 102014.
• Chen X, Xu Q, Lin H, Zhu J, Chen Y, Zhao Q, Wang N. 2020. Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China. BMC Pub Health, 21: 1370.
• 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. Front in Psychiatry, 11: 751.
• Dong X, Wang Y, Chen Y, Wang X, Zhu J, Wang N, Fu C. 2018. Poor sleep quality and influencing factors among rural adults in Deqing, China. Sleep and Breath, 22(4): 1213-1220.
• 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. J Affective Disor, 275: 112-118.
• Eser E, Fidaner H, Fidaner C, Eser SY, Elbi H, Göker E. 1999. WHOQOL-BREF TR: a suitable instrument for the assessment of quality of life for use in the health care settings in Turkey. Quality of Life Res, 8: 647-647.
• Ezpeleta L, Navarro JB, de la Osa N, Trepat E, Penelo E. 2020. Life conditions during COVID-19 lockdown and mental health in Spanish adolescents. Int J Environ Res and Pub Health, 17(19): 7327.
• Fayazi M, Hasani J. 2017. Structural relations between brain-behavioral systems, social anxiety, depression and internet addiction: With regard to revised Reinforcement Sensitivity Theory (r-RST). Comp in Human Behav, 72: 441-448.
• King DL, Delfabbro PH. 2014. The cognitive psychology of Internet gaming disorder. Clinical Psychology Rev, 34(4): 298-308.
• Ko CH, Yen JY, Yen CF, Chen CS, Weng CC, Chen CC. 2008. The association between Internet addiction and problematic alcohol use in adolescents: the problem behavior model. Cyber Psychology & Behav, 11(5): 571-576.
• Kutlu M, Savcı M, Demir Y, Aysan F. 2016. Young internet bağımlılığı testi kısa formunun türkçe uyarlaması: üniversite öğrencileri ve ergenlerde geçerlilik ve güvenilirlik çalışması. Anadolu Psikiyatri Derg, 17(1): 69-76.
• Lau JTF, Yang X, Tsui H, Kim JH. 2003. Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. J Epidemiol & Commun Health, 57(11): 864-870.
• Lemfadli Y, Samlani Z, Errami AA, Oubaha S, Krati K. 2020. The impact of the COVID-19 pandemic on quality of life and well-being in Morocco, 2020: 2020060287.
• Meral BF, Cavkaytar A. 2014. Otizmli çocuk ailelerinin aile yaşam kalitesi algıları. Kastamonu Eğitim Derg, 23(3): 1363-1380.
• Metintaş S, Emrah ATAY. 2019. Dermatolojik hastalarda araştırma yöntemleri. ESTÜDAM Halk Sağlığı Derg, 4: 1-26.
• Otto C, Reiss F, Voss C, Wüstner A, Meyrose AK, Hölling H, Ravens-Sieberer U. 2020. Mental health and well-being from childhood to adulthood: design, methods and results of the 11-year follow-up of the BELLA study. European Child & Adol Psychiatry, 2020: 1-19. DOI: 10.1007/s00787-020-01630-4.
• Patrick SW, Henkhaus LE, Zickafoose JS, Lovell K, Halvorson A, Loch S, Davis MM. 2020. Well-being of parents and children during the COVID-19 pandemic: a national survey. Pediatrics, 146(4): e2020016824.
• Pawlikowski M, Altstötter-Gleich C, Brand M. 2013. Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Comp in Human Behav, 29(3): 1212-1223.
• Pulvirenti F, Cinetto F, Milito C, Bonanni L, Pesce AM, Leodori G, Quinti I. 2020. Health-related quality of life in common variable immunodeficiency Italian patients switched to remote assistance during the COVID-19 pandemic. The J Allergy and Clinical Immun: In Prac, 8(6): 1894-1899.
• 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 J on Addict, 29(4): 268-270.
• Suryaman M, Cahyono Y, Muliansyah D, Bustani O, Suryani P, Fahlevi M, Munthe AP. 2020. COVID-19 pandemic and home online learning system: Does it affect the quality of pharmacy school learning. Syst Rev in Pharmacy, 11(8): 524-530.
• Tang J, Yu Y, Du Y, Ma Y, Zhang D, Wang J. 2014. Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addictive Behav, 39(3): 744-747.
• Volpe J. 1996. Effects of domestic violence on children and adolescents: An overview. American Acad of Experts in Trauma Stress, 1996: 1-4.
• Wang YY, Long J, Liu YH, Liu TQ, Billieux J. 2020. Factor structure and measurement invariance of the problematic mobile phone use questionnaire-short version across gender in Chinese adolescents and young adults. BMC Psychiatry, 20(1): 1-9.
• WHO. 2021. URL: https://www.who.int/health-topics/adolescent-health#tab=tab_1, (accessed date: 20.04.2021).
• WHOQoL Group. 1994. The development of the World Health Organization quality of life assessment instrument (the WHOQOL). In Quality of life assessment: International perspectives. Springer, Berlin, Heidelberg, Germany, pp. 41-57.
• Yeasmin S, Banik R, Hossain S, Hossain MN, Mahumud R, Salma N, Hossain MM. 2020. Impact of COVID-19 pandemic on the mental health of children in Bangladesh: A cross-sectional study. Children and Youth Services Rev, 117: 105277.
• Zhang SX, Wang Y, Rauch A, Wei F. 2020. Health, distress and life satisfaction of people in China one month into the COVID-19 outbreak. Distress and Life Satisfaction of People in China One Month into the COVID-19 Outbreak (3/12/2020). LANCET, URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3555216 (access date: 03.03.2021)
• Zhang Y, Ma ZF. 2020. Impact of the COVID-19 pandemic on mental health and quality of life among local residents in Liaoning Province, China: A cross-sectional study. Int J Envir Res and Public Health, 17(7): 2381.
• Zhou SJ, Zhang LG, Wang LL, Guo ZC, Wang JQ, Chen JC, Chen JX. 2020. Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19. European Child & Adol Psychiatry, 29(6): 749-758.