Impact of Social Media Addiction on Attendance and Academic Performance: Gender Differences among Secondary Education Students
DOI:
https://doi.org/10.31637/epsir-2025-959Keywords:
Secondary Education, Addiction, Social Media, Academic Performance, School Attendance, adolescence, SpainAbstract
Introduction: Social media plays a major role in the lives of Spanish youth, being used by 90% of them. The objective of the study is to analyze the differences in social media addiction based on gender and its impact on failed subjects in the last evaluation and school attendance. Methodology: The Bergen Social Media Addiction Scale (BSMAS) was applied to a sample of 641 Spanish adolescents, and the results were analyzed through ANOVA, Student's t-tests, Cohen's d, and frequency analysis. Results: Significant differences were found between boys and girls, with girls having higher average scores. Similarly, higher averages in social media addiction were found among adolescents who had more absences and those with more failed subjects. Discussion: The proposed hypotheses are confirmed; social media addiction influences academic performance and school attendance, and gender-based differences are found. Conclusions: The need to implement strategies that promote healthy social media use and foster study habits is discussed.
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Aguilar, M. M., Vergara, F. A., Velásquez, E. J., Marina, R. y García-Hermoso, A. (2015). Screen time impairs the relationship between physical fitness and academic attainment in children. Jornal de pediatria, 91(4), 339-345. https://doi.org/10.1016/j.jped.2014.10.004 DOI: https://doi.org/10.1016/j.jped.2014.10.004
American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5ª ed. rev.). https://doi.org/10.1176/appi.books.9780890425787 DOI: https://doi.org/10.1176/appi.books.9780890425787
Andreassen, C. S. y Pallesen, S. (2014). Social network site addiction: An overview. Current Pharmaceutical Design, 20, 4053-4061. https://doi.org/10.2174/13816128113199990616 DOI: https://doi.org/10.2174/13816128113199990616
Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E. y Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252-262. https://doi.org/10.1037/t74607-000 DOI: https://doi.org/10.1037/adb0000160
Andreassen, C. S., Griffiths, M. D., Gjertsen, S. R., Krossbakken, E., Kvam, S. y Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2, 90-99. http://dx.doi.org/10.1556/JBA.2.2013.003 DOI: https://doi.org/10.1556/JBA.2.2013.003
Andreassen, C. S., Torsheim, T., Brunborg, G. S. y Pallesen, S. (2012). Development of a Facebook Addiction Scale. Psychological Reports, 110, 501-517. http://dx.doi.org/10.2466/02.09.18.PR0.110.2.501-517 DOI: https://doi.org/10.2466/02.09.18.PR0.110.2.501-517
Aran-Ramspott, S., Korres-Alonso, O., Elexpuru-Albizuri, I., Moro-Inchaurtieta, A. y Bergillos-García, I. (2024). Young users of social media: an analysis from a gender perspective. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1375983 DOI: https://doi.org/10.3389/fpsyg.2024.1375983
Arrivillaga, C., Rey, L. y Extremera, N. (2022). Uso problemático de redes sociales e inteligencia emocional en adolescentes: análisis de las diferencias por género. European Journal of Education and Psychology, 15(1), 1-16. https://doi.org/10.32457/ejep.v15i1.1748 DOI: https://doi.org/10.32457/ejep.v15i1.1748
Cheng, C., Lau, Y-C, Linus, C. y Luck, J.W. (2021). Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addictive Behaviors, 117, 106845. https://doi.org/10.1016/j.addbeh.2021.106845 DOI: https://doi.org/10.1016/j.addbeh.2021.106845
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2ª ed.). Routledge. https://doi.org/10.4324/9780203771587 DOI: https://doi.org/10.4324/9780203771587
Dans-Álvarez-de-Sotomayor, I., Muñoz-Carril, P. C. y González-Sanmamed, M. (2022). Usos y abusos de las redes sociales por estudiantado español de Educación Secundaria. Revista Electrónica Educare, 26(3), 1-16. https://doi.org/10.15359/ree.26-3.20 DOI: https://doi.org/10.15359/ree.26-3.20
Donina, A., Svetina, K. y Svetins, K. (2020). Class attendance as a factor affecting academic performance. Society. Integration. Education, 2, 578-594. https://doi.org/10.17770/sie2020vol6.5060 DOI: https://doi.org/10.17770/sie2020vol6.5060
Espinoza, E. E., Cruz, L. N. y Espinoza, E. E. (2018). Las redes sociales y rendimiento académico. Revista Metropolitana de Ciencias Aplicadas, 1(3), 38-44. http://remca.umet.edu.ec/index.php/ DOI: https://doi.org/10.62452/1p0ret24
Gabre, H.G. y Kumar, G. (2017). The Effects of Perceived Stress and Facebook on Accounting Students’ Academic Performance. Accounting and Finance Research, 1(2), 87-100. https://doi.org/10.5430/afr.v1n2p87 DOI: https://doi.org/10.5430/afr.v1n2p87
Garaigordobil, M. (2015). Ciberbullying en adolescentes y jóvenes del País Vasco: Cambios con la edad. Anales de Psicología, 31(3), 1069-1076. https://doi.org/10.6018/analesps.31.3.179151 DOI: https://doi.org/10.6018/analesps.31.3.179151
Instituto Nacional de Estadística. (2023). Encuesta sobre Equipamiento y Uso de Tecnologías de Información y Comunicación en los Hogares. https://bit.ly/45BG9gU
Instituto Nacional de Estadística. (2023a). Evolución de datos de Personas (2006-2023) por características demográficas, tipo de uso de TIC y periodo. https://ine.es/jaxi/Tabla.htm?tpx=60738&L=0
Kassaring, V., Bjerre-Nielsen, A., Mones, E., Lehmann, S. y Lassen, D. D. (2017). Class attendance, peer similarity, and academic performance in a large field study. PLoS One, 12(11). https://doi.org/10.1371/journal.pone.0187078 DOI: https://doi.org/10.1371/journal.pone.0187078
Kim, S. Y., Kim, M. S., Park, B., Kim, J. H. y Choi, H. G. (2017). The associations between internet use time and school performance among Korean adolescents differ according to the purpose of internet use. PloS One, 12(4), e0174878. https://doi.org/10.1371/journal.pone.0174878 DOI: https://doi.org/10.1371/journal.pone.0174878
Kirschner, P. A. y Karpinski, A. C. (2010). Facebook and academic performance. Computers in Human Behavior, 26(6), 1237-1245. https://doi.org/10.1016/j.chb.2010.03.024 DOI: https://doi.org/10.1016/j.chb.2010.03.024
Kuss, D. J., Griffiths, M. D., Karila, L. y Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052. http://dx.doi.org/10.2174/13816128113199990617 DOI: https://doi.org/10.2174/13816128113199990617
Leiva, J., Rabanal, M., Cabrera, D., Canales, J., Gormaz, M., Meza, J. y Morandé, V. (2023). Social and health behaviors of adolescence represented in TikTok. Enfermería: Cuidados Humanizados, 12(1), e3078. https://doi.org/10.22235/ech.v12i1.3078 DOI: https://doi.org/10.22235/ech.v12i1.3078
López-Fernández, O. (2017). Short version of the Smartphone Addiction Scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors, 64, 275-280. https://doi.org/10.1016/j.addbeh.2015.11.013 DOI: https://doi.org/10.1016/j.addbeh.2015.11.013
Mou, Q., Zhuang, J., Wu, Q., Zhong, Y., Dai, Q., Cao, X., Gao, Y., Lu, Q. y Zhao, M. (2024). Social media addiction and academic engagement as serial mediators between social anxiety and academic performance among college students. BMC Psychology, 12(1). https://doi.org/10.1186/s40359-024-01635-7 DOI: https://doi.org/10.1186/s40359-024-01635-7
Schmulian, A. y Coetzee, S. (2011). Class absenteeism: reasons for non-attendance and the effect on academic performance. Accounting Research Journal, 24(2), 178. https://doi.org/0.1108/10309611111163718 DOI: https://doi.org/10.1108/10309611111163718
Shahjahan, M., Rumana-Ahmed, K., Al-Hadrami, A., Islam, Md. R., Hossain, S. y Khan, Md. S. (2021). Factors influencing poor academic performance among urban university students in Bangladesh. International Journal of Evaluation and Research in Education, 10(4), 1140-1148. https://doi.org/10.11591/ijere.v10i4.21158 DOI: https://doi.org/10.11591/ijere.v10i4.21158
Su, W., Han, X., Yu, H., Wu, Y. y Potenza, M. N. (2020). Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction. Computers in Human Behavior, 113. https://doi.org/10.1016/j.chb.2020.106480 DOI: https://doi.org/10.1016/j.chb.2020.106480
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Erasmus+
Grant numbers 2022-1-ES01-KA220-SCH-000088733 -
Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana
Grant numbers CIAICO/2022/078