THE EFFECT OF SOCIAL MEDIA USE LEVEL AND SLEEP QUALITY ON WORK PERFORMANCE AMONG UNIVERSITY EMPLOYEES

Abstract

It is important to determine the level of social media addiction in the working population and to determine its relationship with sleep quality, and how both variables affect the work performance of the employees. In this study, it was aimed to determine the effects of social media addiction levels and sleep quality of employees at Amasya University on their work performance. The population of the cross-sectional study consisted of staff in all employment types at Amasya University. Sociodemographic data form, Social Media Addiction Scale-Adult Form (SMAS-AF), Pittsburgh Sleep Quality Index (PSQI), and Work Role Functioning Questionnaire (WRFQ) were applied by face-to-face survey method between August 15 and October 15, 2022. A total of 148 individuals participated in the study. The total score on the SMAS-AF was 40.0 (20-84), the PSQI total score was 6.0 (1-15) and the WRFQ total score was 92.5 (6-100). The WRFQ was found to be lower in individuals with associate degree or higher education, females, and academic staff (p=0.042; p=0.010 and p=0.008 respectively). The WRFQ total score indicated low, moderate, and negative significant correlations with the SMAS-AF and PSQI total scores (r= -0.333 and -0.344, respectively, p< 0.001). It was found that as the level of social media addiction increased and sleep quality deteriorated, work role functionality was negatively affected. A holistic approach, including behavioral problems, should be exhibited in the evaluation of work performance.

Keywords

• Employees
• sleep quality
• social media addiction
• universities
• work performance

Ethical Statement

This study was conducted by Helsinki Principles, and approval was granted by Non-Interventional Clinical Trials Ethics Committee of Amasya University (date/number: 07/07/2022, 7-77).

References

1. Kring A.M., Johnson S.L., Davison G.C., Neale J.M., Substance Use Disorders, in Abnormal Psychology, Twelfth Edition (Ed. , C.T. Johnson), John Wiley & Sons, United States of America, pp. 288, 2012.
2. Carr, C.T., Hayes, R.A., “Social media: Defining, developing, and divining”, Atlantic Journal of communication, 23(1), 46-65, 2015.
3. Cao, X., Gong, M., Yu, L., Dai, B., “Exploring the mechanism of social media addiction: An empirical study from WeChat users”, Internet Research, 30(4), 1305-28, 2020.
4. Shapira, N.A., Lessig, M.C., Goldsmith, T.D., Szabo, S.T., Lazoritz, M., Gold, M.S., et al. “Problematic internet use: proposed classification and diagnostic criteria”, Depression and Anxiety, 17(4), 207-16, 2003.
5. Andreassen, C.S., Billieux, J., Griffiths, M.D., Kuss, D.J., Demetrovics, Z., Mazzoni, E., et al. “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, 2016.
6. Hussain, Z., Griffiths, M.D., “The associations between problematic social networking site use and sleep quality, attention-deficit hyperactivity disorder, depression, anxiety and stress”, International Journal of Mental Health and Addiction, 19(3), 686-700, 2021.
7. Xanidis, N., Brignell, C.M., “The association between the use of social network sites, sleep quality, and cognitive function during the day”, Computers in Human Behavior, 55, 121-6, 2016.
8. Wang, Q., Azam, S., Murtza, M.H., Shaikh J.M., Rasheed, M.I., "Social media addiction and employee sleep: implications for performance and wellbeing in the hospitality industry," Kybernetes, 2023.

9. Statista. (2023, Sep. 10). Social media - statistics & facts [Online]. Available: https://www.statista.com/topics/1164/social-networks/#dossierKeyfigures
10. TÜİK. (2023, Sep. 10). Science, technology, and information society [Online]. Available: https://data.tuik.gov.tr/Kategori/GetKategori?p=Bilim,-Teknoloji-ve-Bilgi-Toplumu-102
11. Cheng, C., Lau, Y.C., Chan, L., Luk, J.W., “Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values”, Addictive Behaviors, 117, 106845, 2021.
12. Bulut, M., Youth and social media research report, Ministry of Youth and Sports, Ankara, Türkiye, 2013
13. Alonzo, R., Hussain, J., Stranges, S., Anderson, K.K., “Interplay between social media use, sleep quality, and mental health in youth: A systematic review”, Sleep Medicine Reviews, 56, 101414, 2021.
14. Bingöl, İ.C., Yılmaz, Menek, M., Bingöl, Y.C., Tarakçı, D., “The effect of mobile application supported exercise program on pain, quality of life and work performance in healthy office workers”, Archives of Health Science and Research, 8(1), 26-32, 2021.
15. Şahin, C., Yağcı, M., “Social media addiction scale - adult form: the reliability and validity study”, Kırşehir Eğitim Fakültesi Dergisi,18(1), 523-38, 2017.
16. Buysse, D.J., Reynolds, III, C.F., Monk, T.H., Berman, S.R., Kupfer, D.J., “The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research”, Psychiatry Research, 28(2), 193-213, 1989.
17. Ağargün, M.Y., Kara, H., Anlar, O., “The validity and reliability of the Pittsburgh sleep quality index”, Turk Psikiyatri Dergisi, 7(2), 107-15, 1996.
18. Amick, III, B.C., Lerner, D., Rogers, W.H., Rooney, T., Katz, J.N., “A review of health-related work outcome measures and their uses, and recommended measures”, Spine, 25(24), 3152-60, 2000.
19. Irmak, A., Bumin, G., Irmak, R., “The cross-cultural adaptation of the work role functioning questionnaire to Turkish”, International Conference, HCI International, Orlando, FL, USA, Part I, Springer Berlin Heidelberg, 2011, pp. 218-22
20. Canbulut, A., Acar, H.T., Arslan, E., Küçük, F., Ercan, S., Çetin, C., “Ergonomic risk factors of female nurses with musculoskeletal pain are higher”, Current Perspectives on Health Sciences, 3(1), 46-52, 2020.
21. Abma, F.I., Brouwer, S., de Vries, H.J., Arends, I., Robroek, S.J., Cuijpers, M.P., et al., “The capability set for work: development and validation of a new questionnaire”, Scandinavian Journal of Work, Environment & Health, 34-42, 2016.
22. Delgado, F.S., Yap, F.M.G., Luces, R.L., “Level of work motivation: Its relationship to the job performance of non-academic staff at CapSU System”, International Journal of Scientific and Research Publications, 8(9), 238-46, 2018.
23. Bozer, A., Yanık, A., “The relationship between organizational citizenship behavior, job satisfaction and job performance of university employees”, Kırklareli University Journal of the Faculty of Economics and Administrative Sciences, 9(1), 125-43, 2020.
24. Altun, E., Özgenel, M., “The effect of organizational image on organizational commitment and performance: an investigation on university employees”, Journal of Higher Education and Science, 11(2), 348-59, 2021.
25. Zivnuska, S., Carlson, J.R., Carlson, D.S., Harris, R.B., Harris, K.J., “Social media addiction and social media reactions: The implications for job performance”, The Journal of Social Psychology, 159(6), 746-60, 2019.
26. Cudo, A., Misiuro, A., Kopiś-Posiej, N., Jaśkiewicz, M., Misiuro, T., “Cognitive functioning and social networking sites addiction-a review”, Psychiatria Polska, 56(3), 471-91, 2022.
27. Alshobaili, F.A., AlYousefi, N.A., “The effect of smartphone usage at bedtime on sleep quality among Saudi non-medical staff at King Saud University Medical City”, Journal of Family Medicine and Primary Care, 8(6), 1953, 2019.