Abstract
Social media disorder (SMD) is defined as a behavioral addiction and has been associated with depression, loneliness, narcissism, low self-esteem, poor sleep quality, and low academic performance. Ostracism is a term defined as being ignored or excluded by others. The purpose of this study is to evaluate the predictors of ostracism in adolescents and test the effect of SMD on ostracism. This study was performed as a survey study. Adolescents between 14 and 18 years of age were administered a structured questionnaire to assess socio demographic properties, SMD, and ostracism. The SMD Scale and Ostracism Experience Scale for Adolescents (OES-A) were used. Between January and June 2018, 864 university students ≤18 years of age were invited to the study and 684 (79.1%) of them participated. We found a positive correlation between OES-A and SMD scores (r=0.52, p<0.001). In the multivariate analysis, male gender, absence of a hobby, not being successful in the university, and high SMD scores were associated with high OES-A scores. This is the first data obtained proving an association between SMD and ostracism. The impact of SMD and ostracism on psychosocial issues should be further evaluated.
Highlights
With the increasing use of the internet, there is an increasing attempt to share and interact online
The purpose of this study is to evaluate the predictors of ostracism in adolescents and test the effect of Social media disorder (SMD) on ostracism
We found a positive correlation between Ostracism Experience Scale for Adolescents (OES-A) and SMD scores (r=0.52, p
Summary
The study was conducted as a survey. Institutional Ethics Committee approved the study protocol, and the study was as per the ethical standards laid down in the 1964 Declaration of Helsinki. The male gender, absence of a hobby, not being successful in the university, and high SMD scores were associated with high OES-A scores. The success parameter was grouped into “not successful” and “more.” A Pearson product-moment correlation coefficient was computed to assess the relationship between OES-A and SMD scores. For high SMD scores, gender, whether living in town/village, mother’s educational status, family structure, employment status, economic status, the absence of a hobby, success in school, and high OES-A scores were further tested in the multivariate analysis using a logistic regression model. For deriving high OES-A scores, male gender, living in town/village, studying theology, having an extended family, working, the absence of a hobby, lowsuccess in school, time spent on social media, and high SMD scores were used.
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