BMC Psychology (May 2019)

The relationship between social networking addiction and academic performance in Iranian students of medical sciences: a cross-sectional study

  • Seyyed Mohsen Azizi,
  • Ali Soroush,
  • Alireza Khatony

DOI
https://doi.org/10.1186/s40359-019-0305-0
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 8

Abstract

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Abstract Background Social networks have had a major influence on students’ performance in recent years. These networks create many opportunities and threats for students in various fields. Addiction to social networking and its impact on students’ academic performance caused the researcher to design and conduct this study. The purpose of this study was to investigate the relationship between social networking addiction and academic performance of students in Iran. Methods In this cross-sectional study, 360 students were enrolled by stratified random sampling. The study tools included personal information form and the Bergen Social Media Addiction Scale. Also, the students’ overall grade obtained in previous educational term was considered as the indicator of academic performance. Data were analyzed using SPSS-18.0 and descriptive and inferential statistics. Findings The mean social networking addiction was higher in male students (52.65 ± 11.50) than in female students (49.35 ± 13.96) and this difference was statistically significant (P < 0.01). There was a negative and significant relationship between students’ addiction to social networking and their academic performance (r = − 0.210, p < 0.01). Conclusions The social networking addiction of the students was at moderate level and the male students had a higher level of addiction compared to the female students. There was a negative and significant relationship between the overall use of social networks and academic performance of students. Therefore, it is imperative that the university authorities take interventional steps to help students who are dependent on these networks and, through workshops, inform them about the negative consequences of addiction to social networks.

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