Yıl: 2022 Cilt: 11 Sayı: 3 Sayfa Aralığı: 1147 - 1152 Metin Dili: İngilizce DOI: 10.5455/medscience.2022.04.091 İndeks Tarihi: 12-10-2022

The COVID-19 fear and loneliness as the predictors of social media addiction in young

Öz:
Young people use social media more than others, and this comes to the fore with COVID-19. This research aims to analyze to what extent the COVID-19 fear and lone liness which affect social media addiction in young adults and to what extent this effect changes as per gender. In this research, the UCLA Loneliness Scale-8, the Fear of COVID-19 Scale, and the Social Media Addiction Scale were used. Through convenience sampling, a total of 507 young adults aged 18-24 years were selected for the research sample. In the evaluation of research data, frequencies, percentages, correlation coefficients and multiple linear regression analysis were used. The mean duration of time spent on social media was 4.26±2.324 hours per day, and mostly used application was the WhatsApp (31.2%). Social media addiction has weak positive relation ships with COVID-19 fear and loneliness, and moderately positive relation-ship between the time spent on social media, and, the time spent on social media has weak positive relationships with COVID-19 fear and loneliness. COVID-19 fear, loneliness, and time spent on social media were identified accounted for 17.1% of the variance in social me-dia addiction for the total group and identified accounted 17.5% for female group. Loneliness was not included in the model for the male participants, rather, the COVID-19 fear and time spent on social media were the predictors of social media addiction for 20.5% in men.
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APA AYHAN D, Seki Öz H (2022). The COVID-19 fear and loneliness as the predictors of social media addiction in young. , 1147 - 1152. 10.5455/medscience.2022.04.091
Chicago AYHAN Didem,Seki Öz Hilal The COVID-19 fear and loneliness as the predictors of social media addiction in young. (2022): 1147 - 1152. 10.5455/medscience.2022.04.091
MLA AYHAN Didem,Seki Öz Hilal The COVID-19 fear and loneliness as the predictors of social media addiction in young. , 2022, ss.1147 - 1152. 10.5455/medscience.2022.04.091
AMA AYHAN D,Seki Öz H The COVID-19 fear and loneliness as the predictors of social media addiction in young. . 2022; 1147 - 1152. 10.5455/medscience.2022.04.091
Vancouver AYHAN D,Seki Öz H The COVID-19 fear and loneliness as the predictors of social media addiction in young. . 2022; 1147 - 1152. 10.5455/medscience.2022.04.091
IEEE AYHAN D,Seki Öz H "The COVID-19 fear and loneliness as the predictors of social media addiction in young." , ss.1147 - 1152, 2022. 10.5455/medscience.2022.04.091
ISNAD AYHAN, Didem - Seki Öz, Hilal. "The COVID-19 fear and loneliness as the predictors of social media addiction in young". (2022), 1147-1152. https://doi.org/10.5455/medscience.2022.04.091
APA AYHAN D, Seki Öz H (2022). The COVID-19 fear and loneliness as the predictors of social media addiction in young. Medicine Science, 11(3), 1147 - 1152. 10.5455/medscience.2022.04.091
Chicago AYHAN Didem,Seki Öz Hilal The COVID-19 fear and loneliness as the predictors of social media addiction in young. Medicine Science 11, no.3 (2022): 1147 - 1152. 10.5455/medscience.2022.04.091
MLA AYHAN Didem,Seki Öz Hilal The COVID-19 fear and loneliness as the predictors of social media addiction in young. Medicine Science, vol.11, no.3, 2022, ss.1147 - 1152. 10.5455/medscience.2022.04.091
AMA AYHAN D,Seki Öz H The COVID-19 fear and loneliness as the predictors of social media addiction in young. Medicine Science. 2022; 11(3): 1147 - 1152. 10.5455/medscience.2022.04.091
Vancouver AYHAN D,Seki Öz H The COVID-19 fear and loneliness as the predictors of social media addiction in young. Medicine Science. 2022; 11(3): 1147 - 1152. 10.5455/medscience.2022.04.091
IEEE AYHAN D,Seki Öz H "The COVID-19 fear and loneliness as the predictors of social media addiction in young." Medicine Science, 11, ss.1147 - 1152, 2022. 10.5455/medscience.2022.04.091
ISNAD AYHAN, Didem - Seki Öz, Hilal. "The COVID-19 fear and loneliness as the predictors of social media addiction in young". Medicine Science 11/3 (2022), 1147-1152. https://doi.org/10.5455/medscience.2022.04.091