Prevalence of social media addiction and its related factors among students of nursing and midwifery in Iranian context: a cross-sectional study
Open accessAbstract
Background and aims: This study aimed to identify the status of social media addiction (SMA) and some related factors in nursing and midwifery students in Iran. Methods: In this cross-sectional study, 284 Nursing and Midwifery students participated. The study was conducted from October 4, 2021 to February 16, 2022. Sampling was done by simple random method. The data collection tool was Bergen’s Social Media Addiction Scale (BSMAS). Data analysis was performed using SPSS version 22. Pearson correlation and multivariate linear regression tests were used to analyze the data. Results: 234 (82.39%) of the students had some level of social media addiction. There was a statistically significant relationship between the hours of using social media during the day and the duration of using these media with addiction (β=0.537, P<0.001). There was a significant relationship between SMA and living single and independently (β=0.58, P=0.032). SMA had no significant relationship with other demographic characteristics of students (P>0.05). A statistically significant relationship was also between SMA and students’ academic performance (β=-0.412, P<0.001). Conclusion: The prevalence of SMA in the study population was alarmingly high. This emerging social problem should be considered in the community of nursing and midwifery students. Because this type of addiction can affect the quality and quantity of nursing care, with the development of attractive social networks dedicated to education and learning, these networks should be directed toward useful student goals.
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Students' academic performance is negatively affected by social media addiction in the linear regression model.
“Students’ academic performance is negatively affected by social media addiction in the linear regression model (51).”
From Investigating social media addiction and impact of social media addiction, loneliness, depression, life satisfaction and problem-solving skills on academic self-efficacy and academic success among university students (2024) · cites this paper as [51]
The “SMA and academic performance” section reports a significant negative relationship between social media addiction and GPA in a linear regression (β = −0.412, P < 0.001). But this cross-sectional association does not establish that addiction caused poorer performance; the Statistical methods section also describes the regression model as identifying predictors of SMA, not effects of SMA on performance. (LLM, conf=0.86)
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Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090 · see citing works
Home visits: a strategy to improve newborn survival - Authors' reply
(2008) · Americanae (AECID Library) · doi:10.1016/s0140 · Cited by 22,524 · see citing works
Mental health problems and social media exposure during COVID-19 outbreak
Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231924 · Cited by 2,830 · cited 1× · see citing works
“Due to physical distance and quarantine, many social interactions have been transferred to social media (37).”
Background2019-nCoV epidemic: Address mental health care to empower society
Bao, Y., Sun, Y., Meng, S., Shi, J., & Lu, L. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30309-3 · Cited by 2,038 · see citing works
Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2016.03.006 · Cited by 1,504 · see citing works
Garfin, D. R., Silver, R. C., & Holman, E. A. (2020) · Health Psychology · doi:10.1037/hea0000875 · Cited by 1,270 · see citing works
Problematic social media use: Results from a large-scale nationally representative adolescent sample
Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169839 · Cited by 984 · see citing works
Internet Addiction or Excessive Internet Use
Weinstein, A., & Lejoyeux, M. (2010) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2010.491880 · Cited by 929 · see citing works
Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance
Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., Griffiths, M. D., Gjoneska, B., Billieux, J., Brand, M., et al. (2020) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2020.152180 · Cited by 820 · see citing works
A Review of the Research on Internet Addiction
Chou, C., Condron, L., & Belland, J. C. (2005) · Educational Psychology Review · doi:10.1007/s10648-005-8138-1 · Cited by 720 · see citing works
Hawi, N. S., & Samaha, M. (2017) · Social Science Computer Review · doi:10.1177/0894439316660340 · Cited by 618 · see citing works
Sun, Y., Li, Y., Bao, Y., Meng, S., Sun, Y., Schumann, G., Kosten, T., Strang, J., Lu, L., & Shi, J. (2020) · The American Journal on Addictions · doi:10.1111/ajad.13066 · Cited by 486 · see citing works
Epidemiology of Internet Behaviors and Addiction Among Adolescents in Six Asian Countries
Mak, K.-K., Lai, C.-M., Watanabe, H., Kim, D.-I., Bahar, N., Ramos, M. S., Young, K., Ho, R. C. M., Aum, N.-R., & Cheng, C. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2014.0139 · Cited by 456 · see citing works
Boursier, V., Gioia, F., Musetti, A., & Schimmenti, A. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.586222 · Cited by 309 · see citing works
Azizi, S. M., Soroush, A., & Khatony, A. (2019) · BMC Psychology · doi:10.1186/s40359-019-0305-0 · Cited by 306 · see citing works
Leung, H., Pakpour, A. H., Strong, C., Lin, Y.-C., Tsai, M.-C., Griffiths, M. D., Lin, C.-Y., & Chen, I.-H. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.04.027 · Cited by 290 · see citing works
The COVID-19 pandemic calls for spatial distancing and social closeness: not for social distancing!
Abel, T., & McQueen, D. V. (2020) · International Journal of Public Health · doi:10.1007/s00038-020-01366-7 · Cited by 276 · see citing works
Lin, C.-Y., Broström, A., Nilsen, P., Griffiths, M. D., & Pakpour, A. H. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.071 · Cited by 236 · see citing works
Casale, S., Rugai, L., & Fioravanti, G. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.05.020 · Cited by 219 · see citing works
Gender differences in the addiction to social networks in the Southern Spanish university students
Martínez, P. A., Ruiz‐Rubio, M., Perea-Moreno, A.-J., Martínez-Jiménez, P., Pagliari, C., Redel-Macías, M. D., & Abellán, M. V. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101304 · Cited by 193 · see citing works
Abbasi, G. A., Jagaveeran, M., Goh, Y.-N., & Tariq, B. (2021) · Technology in Society · doi:10.1016/j.techsoc.2020.101521 · Cited by 182 · see citing works
Brailovskaia, J., & Margraf, J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106720 · Cited by 180 · see citing works
Tang, C. S., & Koh, Y. Y. W. (2016) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2016.10.027 · Cited by 170 · see citing works
COVID-19 Lockdown Restrictions and Online Media Consumption in Germany
Leménager, T., Neissner, M., Koopmann, A., Reinhard, I., Georgiadou, E., Müller, A., Kiefer, F., & Hillemacher, T. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18010014 · Cited by 168 · see citing works
Zhao, L. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100122 · Cited by 140 · see citing works
Tahir, M. J., Malik, N. I., Ullah, I., Khan, H. R., Perveen, S., Ramalho, R., Siddiqi, A. R., Waheed, S., Shalaby, M. M. M., Berardis, D. D., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259594 · Cited by 140 · see citing works
Problematic Internet Use:Clinical Implications
Liu, T., & Potenza, M. N. (2007) · CNS Spectrums · doi:10.1017/s1092852900015339 · Cited by 133 · see citing works
Naeem, M., & Ozuem, W. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102483 · Cited by 124 · see citing works
Öztürk, F. Ö., & Ayaz‐Alkaya, S. (2021) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2021.08.007 · Cited by 118 · see citing works
Arslan, G., Yıldırım, M., & Zangeneh, M. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00460-4 · Cited by 116 · see citing works
Guo, L., Luo, M., Wang, W.-X., Huang, G.-L., Xu, Y., Gao, X., Lu, C.-Y., & Zhang, W.-H. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.115 · Cited by 114 · see citing works
Anand, N., Thomas, C., Jain, P. A., Bhat, A., Thomas, C., Prathyusha, P. V., Aiyappa, S., Bhat, S. U., YOUNG, K. S., & Cherian, A. V. (2018) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2018.07.020 · Cited by 108 · see citing works
Luo, T., Chen, W., & Liao, Y. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.057 · Cited by 108 · see citing works
Pruthvi, S., Ramesh Masthi, N., & Phaneendra, M. (2018) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_285_17 · Cited by 107 · see citing works
Taylor, S. J., Landry, C. A., Paluszek, M. M., & Asmundson, G. J. G. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.08.002 · Cited by 95 · see citing works
The role of the Dark Tetrad and impulsivity in social media addiction: Findings from Malaysia
Chung, K. L., Morshidi, I., Yoong, L. C., & Thian, K. N. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.02.016 · Cited by 91 · see citing works
Ahmed, O., Siddiqua, S. J. N., Alam, N., & Griffiths, M. D. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101485 · Cited by 82 · see citing works
Ching, S. M., Hamidin, A., Vasudevan, R., Sazlyna, M. S. L., Aliaa, W. S. W., Foo, Y. L., Yee, A. H. A., & Hoo, F. K. (2017) · PubMed · Cited by 78 · see citing works
Boonvisudhi, T., & Kuladee, S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174209 · Cited by 69 · see citing works
Understanding Perceptions of Problematic Facebook Use
Cheng, J., Burke, M., & Davis, E. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300429 · Cited by 58 · see citing works
Ismail, N., Tajjudin, A. I. A., Jaafar, H., Jaafar, N. R. N., Baharudin, A., & Ibrahim, N. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182211870 · Cited by 57 · see citing works
Hasan, A. A.-H., & Jaber, A. A. (2019) · Nurse Education Today · doi:10.1016/j.nedt.2019.07.004 · Cited by 56 · see citing works
Prevalence of Internet Addiction in Iran: A Systematic Review and Meta-analysis.
Modara, F., Rezaeenour, J., Sayehmiri, N., Maleki, F., Aghakhani, N., Sayehmiri, K., & Rezaei–Tavirani, M. (2017) · Europe PMC (PubMed Central) · Cited by 48 · see citing works
Addictive behaviours among university students in Malaysia during COVID-19 pandemic
Ting, C. H., & Essau, C. A. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100375 · Cited by 45 · see citing works
Addressing mental health care for the bereaved during the COVID ‐19 pandemic
Sun, Y., Bao, Y., & Lü, L. (2020) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13008 · Cited by 44 · see citing works
Jiang, M., Zhao, Y., Wang, J., Hua, L., Yan, C., Yao, Y., & Jin, Y. (2022) · Psychiatry Investigation · doi:10.30773/pi.2021.0147 · Cited by 39 · see citing works
Shafi, R. M. A., Nakonezny, P. A., Miller, K. A., Desai, J., Almorsy, A. G., Ligezka, A. N., Morath, B. A., Romanowicz, M., & Croarkin, P. E. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114020 · Cited by 37 · see citing works
Psychosocial Correlates of Excessive Social Media Use in a Hispanic College Sample
Lerma, M., Marquez, C., Sandoval, K., & Cooper, T. V. (2021) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2020.0498 · Cited by 35 · see citing works
Brailovskaia, J., Truskauskaitė‐Kunevičienė, I., Margraf, J., & Kazlauskas, E. (2021) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2021.100182 · Cited by 29 · see citing works
Prakash, S., Yadav, J. S., & Singh, T. B. (2020) · International Journal of Indian Psychology · doi:10.25215/0803.052 · Cited by 26 · see citing works
Hussain, Z., & Wegmann, E. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100125 · Cited by 17 · see citing works
Facebook Use and Negative Behavioral and Mental Health Outcomes: A Literature Review
Kaye, A. (2019) · Journal of Addiction Research & Therapy · doi:10.4172/2155-6105.1000375 · Cited by 16 · see citing works
Gökçen, O., IŞIK, A. Ö. P., Erzincan, E., Turan, H. S., Timur, Ö., Eren, F., & Gündüz, N. (2019) · Journal of Clinical Psychiatry · doi:10.5505/kpd.2019.14622 · Cited by 15 · see citing works
Internet Addiction Risk in the Academic Environment
Ellis, W., McAleer, B., & Szakas, J. S. (2015) · Cited by 10 · see citing works
Flagged first, then by citations
1 of the 55 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Wang C, Lee MKO, Yang C, Li X. Understanding problematic smartphone use and its characteristics. In: 24th International Conference on Information Systems Development (ISD 2015). Heidelberg: Springer; 2016. p. 215-25.
- Monje JB, Robles-Fernández A, Juarros-Basterretxea J, Pedrosa I. [Social networks addiction: development and validation ofanassessment instrument]. Revista de Investigación y Divulgación en Psicología y Logopedia. 2013;3(1):2-8.
- Ershad ZS, Aghajani T. Prediction of Instagram social network addiction based on the personality, alexithymia and attachment styles. Sociological Studies of Youth. 2017;8(26):21-34.
Cited by
Sorted by citations
Aslan, I., & Polat, H. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1359691 · Cited by 51 · see citing works
Hamedi, F., Shaabani, N., Mahdavi, F., Nezamdoust, S., Arshian, S., & Mohammadi, A. Z. (2025) · Journal of Archives in Military Medicine · doi:10.5812/jamm-160299 · Cited by 2 · see citing works
PINAR, Ş. E. (2024) · Cumhuriyet Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi · doi:10.51754/cusbed.1495288
Beetru, A. A., Sherlala, R. A., Aljared, A. M., Jarjar, B. A., & Tawel, H. M. (2026) · Cureus · doi:10.7759/cureus.101152 · Cited by 1 · see citing works
- Authors
- Toumari, R., Ramezani-Badr, F., Bulfone, G., & Amini, K.
- Affiliations
- Zanjan University of Medical Sciences (IR)
- Department of Critical Care Nursing, School of Nursing and Midwifery, Zanjan University of Medical Sciences, Zanjan, Iran
- University of Catania (IT)
- Corresponding author
- Amini, Kourosh
- Venue
- Journal of Multidisciplinary Care
- Publisher
- Maad Rayan Publishing Company
- Published
- 2023-03-28
- Volume
- 12
- Issue
- 1
- Pages
- 3-11
- ISSN
- 2783-3852 (ISSN-L)
- OpenAlex
- W4387915205
- Cited by
- 4
- References
- 55
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Multidisciplinary Care (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Zanjan University of Medical Sciences
- University of Zanjan
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Social Sciences › Health › Social Media in Health Education
- Keywords
- social media addiction, nursing students, midwifery students, Bergen Social Media Addiction Scale, prevalence, academic performance, time spent on social media, living status, demographic factors, Iranian students
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