medtigo Journal of Neurology and Psychiatry

|Original Research

| Volume 3, Issue 2

Exploring the Relationship Between Social Media Addiction and Academic Performance of Nursing Students


Author Affiliations

medtigo J Neurol Psychiatry. |
Date - Received: Mar 16, 2026,
Accepted: Mar 19, 2026,
Published: Apr 07, 2026.

Abstract

Background: The rapid integration of social media into daily life has significantly influenced the academic environment, particularly among nursing students. While social media provides access to educational resources, peer collaboration, and networking opportunities, its excessive use may lead to distraction, poor time management, and decreased academic performance. Understanding this dual impact is essential for developing effective academic and behavioral strategies.
Aim: The study aimed to explore the relationship between social media addiction and the academic performance of nursing students.
Methodology: There was a quantitative, cross-sectional study on 232 nursing students in Swat; the questionnaires were self-administered. The sample was based on convenience sampling, and the data were analyzed with the help of descriptive and inferential statistics. The chi-square tests were used to determine the relationships between demographic and social media consumption patterns.
Results: The findings revealed that 94% of participants perceived social media addiction as negatively affecting their academic performance. Platforms such as WhatsApp and Twitter were identified as beneficial for group learning and collaboration; however, excessive use reduced study time, academic performance, and clinical practice engagement. Social media usage showed significant associations with gender, age, marital status, and year of study. Non-academic usage was higher among male and younger students.
Conclusion: Social media’s dual role as a learning tool and a source of distraction highlights the need for effective management strategies. Educators should focus on promoting responsible usage and providing support to students, enabling them to balance their academic responsibilities with social media activities.

Keywords

Social media addiction, Academic performance, Nursing students, Social networking sites, Time management.

Introduction

Social media addiction has, however, displaced the otherwise normal ways of doing things in today’s society, including learning in academic institutions.[1] Social media addiction is a term used to describe a scenario where people spend much of their time on social networks such as Facebook, Instagram, and Twitter, for example, most of the time without attending to other activities.[2] Especially for nursing students, where social media is used for communication as well as a distraction. Aspects such as students’ grades, their competence in clinical assessment, and their interaction with the learning process are analyzed as indicators of academic performance here. Learning the correlation between social media use and academic achievement is very important because it affects concentration, time organization, and learning outcomes among students in a high-stress profession, for example, nursing.[3]

Prevalence is the aspect of the extent to which a certain condition is common in a certain population at a given time.[4] The rate at which social media addiction is increasing among university students is so high all over the world, and the figures of 15 to 36 % are being reported in higher learning institutions.[5] Students of nursing are especially susceptible to the pressures of the clinical practice, overwhelming study time, and their psychosocial development.[6] Studies carried out in other nations also reveal that excessive use of social media can be strongly related to bad academic performance, low concentration, and sleep deprivation. The prevalence is high, which means that there is an urgent need to study its implications in nursing education.[7]

Social media is meant to be interactive, addictive, and entertaining, usually by means of notifications, likes, and shares. These aspects add to the increasing screen time and could slow down the time spent on academic tasks.[8] Students of nursing who have a high volume of academic and clinical work might struggle to find a balance when the constant use of social media interferes with their study time. This imbalance may undermine theoretical knowledge, as well as the acquisition of the necessary clinical skills.[9]

Social media addiction has not only academic effects, but also mental health and well-being. They have been associated with excessive use leading to high levels of stress, anxiety, low self-esteem, and fatigue among students.[10] Nighttime use also causes sleep deprivation, which worsens attention, memory, and decision-making skills, which are crucial to nursing practice. The inability to focus in training on patient care is a significant issue for future professional competency since it leads to poor clinical performance.[11]

The interrelationship between social media addiction and the academic performance of nursing students is important to understand to develop preventive and corrective measures. A significant role can be played by nursing institutions in terms of awareness, guidelines that can be applied to healthy usage, and time management support to students.[12] By mitigating the dangers and enhancing the beneficial educational value of social media, universities can be assured that students are successful in their studies without causing the traumatic impact of being overly dependent.[13]

Methodology

The research was conducted in three nursing colleges at District Swat, Khyber Pakhtunkhwa: Nightingale Nursing College at Charbagh Swat, Upper Swat Nursing College at Swat, and Fatima Nursing College at Charbagh Swat. They were chosen because of the academic requirements in nursing education and the accessibility of these institutions, a factor that facilitated the collection of the data. The sample was made up of students of different academic years to make sure that the results were representative of a wide range of nursing students in the area. The study was a quantitative cross-sectional study to examine the adverse effects of using social media on the academic performance of nursing students. This design enabled the researcher to gather the data at one point, which enabled a snapshot of the impact of social media on the study hours, clinical practice, and academic outcomes. The Raosoft formula was used to compute the sample size, which was 232 participants, and thus it guaranteed reliability of the results at a 95% confidence level and a 5% margin of error. Convenience sampling was used in the study, and this allowed the researcher to access willing and available participants who were willing and available to respond to help in the collection of data. The inclusion criteria were that the participants had to enroll in nursing programs, actively use social media, and consent; non-nursing programs and students who could not participate owing to health factors were excluded. The data collected were in the form of self-administered, paper-based questionnaires based on the modified version of past validated studies. These tools obtained demographic information, social media-use patterns, perceptions, and experiences of its effects on scholarly and clinical performance. The data collected from the responses helped understand the knowledge, attitude, and practice of students regarding social media. The data was worked out with the help of SPSS version 22, and descriptive statistics, including the means, the standard deviations, and the graphical presentations, were used. Correlation analysis was also conducted to establish the relationship between social media use and academic outcomes. This choice guaranteed valid conclusions concerning the importance of social media in nursing education and gave a foundation to recommend future interventions.

Results

The study sample consisted predominantly of male students (87%), with females making up 13%. Most participants were 18-22 years old (76%), and the majority were unmarried (83%). In terms of academic year, the largest groups were from the 2nd and 4th years (35% each), followed by the 1st year (17%) and the 3rd year (14%).

Variables Category Frequency (n) Percentage (%)
Gender Male 202 87%
Female 30 13%
Age 18-22 176 76%
23-27 51 22%
28-32 5 2%
Marital status Married 39 17%
Unmarried 193 83%
Year of study 1st Year 39 17%
2nd Year 81 35%
3rd Year 32 14%
4th Year 80 35%

Table 1: Demographic characteristics of participants

The results show that the vast majority of students (94%) are sure that social media addiction harms academic performance, and many of them do not spend time studying, but spend time online. WhatsApp (80%) and Twitter (63%), Wikipedia, and blogs are perceived as helpful in the learning process 80 to 85% academic assistance). Gender and age affect usage, where males are more inclined to non-academic usage, and 76% indicated that age influences habits. On the whole, social media can be educational, but too much of it cannot allow one to study and perform (Table 2).

Observation Main finding Percentage (%)
Academic impact Students strongly agree that social media addiction harms academics 94
Study vs. social media time Students report spending more time on social media than on books 84
Twitter use Students find Twitter discussions helpful for academic performance 63
WhatsApp use Students see WhatsApp as useful for knowledge sharing 80
Wikipedia & blogs Students consider Wikipedia and blogs relevant for research/class learning 80–85
Gender differences Students believe gender affects use of social media (males more for non-academics) 80
Age influence Students agree that age impacts social media usage 76
Boredom with age Students state that social media becomes less interesting as they grow older 80
Younger generation Students believe younger users are most active on social media 94

Table 2: Key findings of the study on social media and academic performance

The chi-square test showed that the student demographics and the use of social media had significant relationships among nursing students. There was a strong association between gender and addiction, WhatsApp knowledge sharing, and variation in networking (p < 0.005), and the age associated with distraction, waning interest, and increased activity among young users. Marital status had an impact on the perception of grades and blogging sites, but the year of study had a significant impact on the negative impact of Facebook and the positive effects of Twitter. These results emphasize the importance of demography on the usage patterns as well as the perceived academic impact of social media (Table  3).

Demographic variable Survey item Chi-Square value (χ²) p-value Significance
Gender Addiction to social networks affects academics 12.4 0.001 Significant
Use of WhatsApp for knowledge sharing 8.7 0.004 Significant
Males use social networking for non-academic purposes 15.2 0.001 Highly Significant
Female students foster social connections 9.8 0.002 Significant
Age Social media distracts from studies 7.1 0.013 Significant
Social media becomes boring with age 18.5 0.000 Highly Significant
The younger generation is the most active user 20.2 0.000 Highly Significant
Marital status No improvement in grades due to social networking 5.3 0.022 Significant
Blogging sites complement classroom learning 6.9 0.009 Significant
Year of study Unlimited Facebook access negatively affects academics 10.3 0.001 Significant
Academic discussions on Twitter improve performance 4.8 0.028 Significant

Table 3: Chi-square test results for the association between demographics and survey items

Discussion

The study contributes to the understanding of demographic factors and related social media trends about nursing students and gives understanding of different aspects. For example, gender, age, marital status, and year of study, that may affect their academic behaviors and interaction with social media. The gender distribution in the study shows a preponderance of males (87%), while this is in tandem with an increase in the population of female candidates by most universities or colleges enrolling nursing students. Such a skewed gender distribution in the sample may be due to geographical or institutional differences, and these differences might consist of other factors, such as cultural and educational backgrounds, program availability, etc.[16]

The study revealed that the majority of the respondents (76%) are within the ages of 18-22 years, which is typical of the university student population.[17] On the other hand, the results showed that social media platforms have different usage concerning knowledge sharing, with older students using academic-oriented SM more frequently.[18,19] The lower percentage (22%) of 23-27-year-olds represents a younger group; it means that the participants’ attitudes toward social media, as well as students’ perception of such platforms, might be different. The young generation, which prefers the use of WhatsApp and Twitter, makes it clear that they see social media as relevant in classroom work and in other activities.[20]

Another demographic factor tested in this study was marital status, with 83% of the participants unmarried. This finding is in line with other research that shows that students who are in their junior classes, single, and young, spend more time using social media and are more likely to interact with scholarly content online. On the other hand, the level of academic-related use of social media is relatively low among married students because of their domestic responsibilities and a definite timetable.[21,22]  The results from the study may indicate that unmarried nursing students who encompass the largest percentage may have a more permissive attitude towards the use of SNS for academic and social-related purposes. This trend also conforms with awareness that social media is useful in promoting peer-to-peer and academic connections, especially in distance learning systems.[23]

As revealed by the Chi-Square analysis of the results, there is significance based on the level of study, showing that a year of study plays an important role in involving students in social media-related activities. According to the study, in terms of year of study, 35% of participants were in the 2nd and 4th year, while the remainder 30% were in the 1st and 3rd years.[24] Such a distribution enables an essential comprehension of the multifaceted role of social media in the lives of students at various levels of learning. It has been found that second-year students use social media more for academic content, like group projects and sharing knowledge, in contrast to first-year students, because the latter have had some exposure to the academic system. On the other hand, students in their first and third years, as identified in this study, may not yet have developed sophisticated use of social media in academic activities due to their inexperience or, at most, advantages rudimentary appreciation of the advantages of the tool as found in students in their second, fourth, and postgraduate levels.[25]

According to the results of this study, the participants agreed that social media addiction interferes with academics, 94% of them strongly agreed. This is in consonance with other studies that conclude that excessive social media usage contributed to poor performance in class by wasting time.[26] That links excessive social media used to lower academic performance due to the time spent online and the distraction it causes.[27] Whereas social media is used in enhancing the academic sector, this research evidence indicates that a greater percentage of respondents (80%) agreed that the language on social media-related sites, such as Facebook, affects academic performance. This tallies with the arguments made before that while social media may help in the sharing of knowledge and work, they act as a double-edged weapon whenever learners cannot manage them well. It may be inferred from the finding that more scheduled motivational programs for students and time-use planning approaches may be required to neutralize the impact of social media dependency on academic achievement.[28]

Altogether, the results of the study reveal the relationships between demographic variables, including gender, age, marital status, and the year of study, on the one hand, and nursing students’ use of social media and course-related behaviors, on the other hand. The extent of association of these parameters of social media use with these demographic variables correlates with other studies, which identified age and marital status to be factors affecting social media use, while gender differences are noticeable in the use of social media for purposes other than academic. At the same time, this research reveals specific tendencies in this sample, where greater asymmetry between males and females and the younger age of respondents are prominent. These differences should be studied in more detail to understand the general effects of social media use on nursing education and to develop effective interventions that would enhance the impact of social media use on academic performance.[29]

Recommendations: Based on the findings of this study, the following recommendations are made:

  • Develop social media management programs: It’s also important that educational institutions organize programs or workshops that would enable students to understand how to go about their social media use. These programs should cover such issues as time management in relation to the students’ tasks and how one should avoid social networking sites and concentrate on class work.
  • Encourage the academic use of social media: Even if social media itself presents a certain number of sources of distraction, it also presents a large amount of educational opportunity. Schools should engage the student on the use of social media platforms such as WhatsApp and in academic dialogues, learning, and group projects. Students might use social media in the course of their studies by having their faculty incorporate social tools into the curriculum in a bid to expand knowledge and increase learning achievements.
  • Provide support for male and younger students: Since male students and the youngest people (18-22) actively use social media more actively, institutions should facilitate these audiences and provide applicable support and recommendations. This support may include intervening in abuse, such as the use of social media, and making students aware of the danger of adversely affecting academic work.
  • Monitor the impact of social media on academic performance: It is recommended that education sectors follow up on the results of the use of social networking sites on the outcomes of learning institutions. Discussing exactly the results of similar surveys or studies, such as those presented in this paper, it is possible to find out that regular carrying out of such surveys or studies can be useful in the investigation of the dynamics of the development of these processes and in the identification of directions for their improvement.
  • Promote peer support networks: In addition to that, to increase the academic advantage of the usage of social media, new groups such as student support groups or study groups, forums, etc., can be formed on social networks. Such networks can be useful to create a context in which students can post academic questions and participate in a discussion, sharing documents and asking for assistance from other learners.
  • Tailor strategies for different demographics: Because marital status, age, and year of study affected the use of social media, recommendations should be made for these categories. For example, while students in their senior years and those in later years of study may require caution about general guidelines for using social media for academic purposes, other students, and especially the young and the unmarried, may require particular caution, especially regarding balancing their academic coursework and time on social media.
  • Promote awareness of the risks of social media addiction: Students should be informed about the dangers of socially networked site dependency, as it is essential for personal and virtual worlds’ general well-being. Universities and colleges should come up with awareness creation programs-warning compounding students of the likely dangers of being on social media most of the time, such as reduced study time, poor scores, and possible negative health effects.

Conclusion

This study provides comprehensive insight into the demographic characteristics of nursing students and trends in their social media use, while examining how such factors, particularly social media engagement, affect academic performance. The findings indicate that social media has a significant influence on students’ academic activities. Most participants acknowledged that, although social media offers advantages that can enhance academic performance, it also poses risks that may negatively affect learning outcomes. Platforms such as WhatsApp and Twitter are considered valuable tools for knowledge sharing and academic discussions; however, there is clear recognition that excessive or improper use can hinder academic performance.

References

  1. Kuss DJ, Griffiths MD. Social Networking Sites and Addiction: Ten Lessons Learned. Int J Environ Res Public Health. 2017;14(3):311. doi:10.3390/ijerph14030311
    PubMedCrossrefGoogle Scholar
  2. Abbas J, Aman J, Nurunnabi M, Bano S. The impact of social media on learning behavior for sustainable education: Evidence of students from selected universities in Pakistan. Sustainability. 2019;11(6):1683. doi:10.3390/su11061683
    CrossrefGoogle Scholar
  3. Johnston LM. Support brings success: a longitudinal narrative study of articulating student nurses’ transition journey from further education to higher education and graduation. University of Edinburgh; 2024.
    Support brings success: a longitudinal narrative study of articulating student nurses’ transition j…
  4. Anyimah BA, Ghanney RA. Coping with academic work and nursing motherhood: The case of Akenten Appiah Minkah University of Skills, Training and Entrepreneurial Development (AAMUSTED), Kumasi. Global Journal of Arts, Humanities and Social Sciences. 2024;12(3):1-21. doi:10.37745/gjahss.2013/vol12n2121
    Crossref | Google Scholar
  5. Fong CJ, Kim Y, Davis CW, Hoang T, Kim Y. A meta-analysis on critical thinking and community college student achievement. Thinking Skills and Creativity. 2017;26:71-83. doi:10.1016/j.tsc.2017.06.002
    CrossrefGoogle Scholar
  6. Young-Brice A, Johnson BK, McCormack MG, Peña M, Leiberg J, Dreifuerst KT. Grit as a Predictor of Academic Success Among Associate Degree Nursing Students. Nurs Educ Perspect. 2023;44(6):359-364. doi:10.1097/01.NEP.0000000000001136
    PubMedCrossrefGoogle Scholar
  7. Kolhar M, Kazi RNA, Alameen A. Effect of social media use on learning, social interactions, and sleep duration among university students. Saudi J Biol Sci. 2021;28(4):2216-2222. doi:10.1016/j.sjbs.2021.01.010
    PubMedCrossrefGoogle Scholar
  8. Masood A, Luqman A, Feng Y, Ali A. Adverse consequences of excessive social networking site use on academic performance: Explaining underlying mechanism from stress perspective. Computers in Human Behavior. 2020;113:106476. doi:10.1016/j.chb.2020.106476
    CrossrefGoogle Scholar
  9. Azizi SM, Soroush A, Khatony A. The relationship between social networking addiction and academic performance in Iranian students of medical sciences: a cross-sectional study. BMC Psychol. 2019;7(1):28. doi:10.1186/s40359-019-0305-0
    PubMedCrossrefGoogle Scholar
  10. Kwon SJ, Kim Y, Kwak Y. Difficulties faced by university students with self-reported symptoms of attention-deficit hyperactivity disorder: a qualitative study. Child Adolesc Psychiatry Ment Health. 2018;12:12. doi:10.1186/s13034-018-0218-3
    PubMedCrossrefGoogle Scholar
  11. Alotaibi MS, Fox M, Coman R, Ratan ZA, Hosseinzadeh H. Smartphone Addiction Prevalence and Its Association on Academic Performance, Physical Health, and Mental Well-Being among University Students in Umm Al-Qura University (UQU), Saudi Arabia. Int J Environ Res Public Health. 2022;19(6):3710. doi:10.3390/ijerph19063710
    PubMedCrossrefGoogle Scholar
  12. Abbasi G, Jagaveeran M, Goh YN, Tariq B. The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator. Technology in Society. 2021;64:101521. doi:10.1016/j.techsoc.2020.101521
    CrossrefGoogle Scholar
  13. Nikbin D, Iranmanesh M, Foroughi B. Personality traits, psychological well-being, Facebook addiction, health and performance: Testing their relationships. Behaviour & Information Technology. 2021;40(7):706-722. doi:10.1080/0144929X.2020.1722749
    CrossrefGoogle Scholar
  14. Carbonell X, Panova T. A critical consideration of social networking sites’ addiction potential. Addiction Research & Theory. 2017;25(1):48-57. doi:10.1080/16066359.2016.1197915
    CrossrefGoogle Scholar
  15. Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. J Med Internet Res. 2017;19(10):e353. doi:10.2196/jmir.6426
    PubMedCrossrefGoogle Scholar
  16. Kasperiuniene J, Zydziunaite V. A systematic literature review on professional identity construction in social media. SAGE Open. 2019;9(1):2158244019828847. doi:10.1177/2158244019828847
    CrossrefGoogle Scholar
  17. Scott N, Goode D. The use of social media (some) as a learning tool in healthcare education: An integrative review of the literature. Nurse Educ Today. 2020;87:104357. doi:10.1016/j.nedt.2020.104357
    PubMedCrossrefGoogle Scholar
  18. Giroux CM, Moreau KA. Nursing students’ use of social media in their learning: a case study of a Canadian School of Nursing. BMC Nurs. 2022;21(1):195. doi:10.1186/s12912-022-00977-0
    PubMedCrossrefGoogle Scholar
  19. Günay U, Kılınç G. The transfer of theoretical knowledge to clinical practice by nursing students and the difficulties they experience: A qualitative study. Nurse Educ Today. 2018;65:81-86. doi:10.1016/j.nedt.2018.02.031
    PubMedCrossrefGoogle Scholar
  20. Weeks KW, Coben D, O’Neill D, et al. Developing and integrating nursing competence through authentic technology-enhanced clinical simulation education: Pedagogies for reconceptualising the theory-practice gap. Nurse Educ Pract. 2019;37:29-38. doi:10.1016/j.nepr.2019.04.010
    PubMedCrossrefGoogle Scholar
  21. Koukourikos K, Tsaloglidou A, Kourkouta L, et al. Simulation in Clinical Nursing Education. Acta Inform Med. 2021;29(1):15-20. doi:10.5455/aim.2021.29.15-20 PubMedCrossrefGoogle Scholar
  22. Bacaksiz FE, Eskici GT, Seren AKH. “From my Facebook profile”: What do nursing students share on Timeline, Photos, Friends, and About sections?. Nurse Educ Today. 2020;86:104326. doi:10.1016/j.nedt.2019.104326
    PubMedCrossrefGoogle Scholar
  23. Saura JR, Palacios-Marqués D, Iturricha-Fernández A. Ethical design in social media: Assessing the main performance measurements of user online behavior modification. Journal of Business Research. 2021;129:271-281. doi:10.1016/j.jbusres.2021.03.001
    CrossrefGoogle Scholar
  24. Sheldon P, Antony MG, Sykes B. Predictors of Problematic Social Media Use: Personality and Life-Position Indicators. Psychol Rep. 2021;124(3):1110-1133. doi:10.1177/0033294120934706
    PubMedCrossrefGoogle Scholar
  25. Han Y. Social media addiction, fatigue and the effects on young adults’ academic performance China. Quantum Journal of Social Sciences and Humanities. 2024;5(5):70-80. doi:10.55197/qjssh.v5i5.428
    CrossrefGoogle Scholar
  26. Vialle S, Machin T, Abel S. Better than scrolling: Digital detox in the search for the ideal self. Psychology of Popular Media. 2023;13:687-695. doi:10.1037/ppm0000496
    CrossrefGoogle Scholar
  27. Polites GL, Serrano C, Thatcher JB, Matthews K. Understanding social networking site (SNS) identity from a dual systems perspective: An investigation of the dark side of SNS use. European Journal of Information Systems. 2018;27(5):600-621. doi:10.1080/0960085X.2018.1457194
    CrossrefGoogle Scholar
  28. Balk Y, Englert C. Recovery self-regulation in sport: Theory, research, and practice. International Journal of Sports Science & Coaching. 2020;15(2):273-281. doi:10.1177/1747954119897528
    CrossrefGoogle Scholar
  29. Wang MT, Kiuru N, Degol JL, Salmela-Aro K. Friends, academic achievement, and school engagement during adolescence: A social network approach to peer influence and selection effects. Learning and Instruction. 2018;58:148-160. doi:10.1016/j.learninstruc.2018.06.003
    CrossrefGoogle Scholar

Acknowledgments

The authors would like to express their sincere gratitude to Dr. Shah Hussain, Principal/Associate Professor, Janbar, College of Nursing, Swat, for his invaluable supervision, guidance, and support throughout the course of this study.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors

Author Information

Corresponding Author:
Nida Rahman
Department of Nursing
Saidu Teaching Hospital, Swat, Pakistan
Email: [email protected]

Co-Authors:
Shah Hussain
Department of Nursing
Janbar College of Nursing, Swat, Pakistan

Nasar Mian, Shakir Ullah
Department of Nursing
National College of Nursing, Swat, Pakistan

Tayyib Ullah Khan, Robi Gul, Asyia Bibi
Department of Nursing
Saidu Teaching Hospital, Swat, Pakistan

Authors Contributions

Nida Rahman and Tayyib Ullah Khan contributed to data collection and data analysis. Robi Gul, Asyia Bibi, and Shakir Ullah were responsible for the literature review. Nasar Mian and Dr. Shah Hussain contributed to data analysis and interpretations.

Ethical Approval

Ethical Approval was obtained from the National College of Nursing, Swat, Ref No NCN/IRB/2025/22.

Conflict of Interest Statement

The authors declare that there is no conflict of interest regarding the publication of this paper.

Guarantor

Nida Rahman is the guarantor of this study and takes full responsibility for the integrity of the data and the accuracy of the data analysis.

DOI

Cite this Article

Hussain S, Rahman N, Mian N, et al. Exploring the Relationship Between Social Media Addiction and Academic Performance of Nursing Students. medtigo J Neurol Psychiatr. 2026;3(2):e3084322. doi:10.63096/medtigo3084322 Crossref