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The relationship between social network use and students’ quality of life

Document Type : Original Article

Authors

1 Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran

2 Social Determinants of Health Research Center,Alborz University medical of Sciences,Karaj,IRAN

3 Department of Midwifery, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran

4 Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Iran University of Medical Sciences,Tehran, Iran

5 Social Determinants of Health Research Center, Shahid beheshti University of Medical Sciences, Tehran, Iran

Abstract

Background: The availability and use of various social networks influence individuals’ lives. This survey aimed to determine students’ quality of life and its relationship with internet and social networks use in the shadow of the COVID-19 outbreak.
Methods: This descriptive survey was performed on 350 eligible students from Alborz University of Medical Sciences in 2021. Participants were recruited through convenience sampling. Data were collected using three questionnaires covering socioeconomic status, social networks, quality of life, and a sociodemographic checklist. The collected data were analyzed using SPSS version 25.
Results: In this study, the average age of participants was 22.42±2.8 years, with an average daily social network usage of 3.76±2.11 hours. The mean quality of life score was 62.9±16.9, and the mean score for social network engagement was 49.87±9.3. A significant association was found between social network scores and both the type of social network used and the average time spent on these platforms. Within the dimensions of social network use, the type of social network (B=-0.230) served as a negative predictor, while 4-5 hours of daily social network use (B=0.196) served as a positive predictor for quality of life scores.
Conclusion: The study findings indicate a significant connection between the use of the Internet and social networks and students’ quality of life. Therefore, it is imperative to address the time spent on and the type of social networks that is particularly important.

Keywords

Main Subjects

References
  1. Janse van Rensburg C, Surujlal J. Gender differences related to the health and lifestyle patterns of university students. Health SA Gesondheid. 2013;18(1):1-8. doi: 10.4102/hsag. v18i1.735.
  2. Thomas L, Orme E, Kerrigan F. Student loneliness: the role of social media through life transitions. Comput Educ. 2020;146:103754. doi: 10.1016/j.compedu.2019.103754.
  3. Chou AY, Lim BB. A framework for measuring happiness in online social networks. Issues Inf Syst. 2010;11(1):198-203. doi: 10.48009/1_iis_2010_198-203.
  4. Chern KC, Huang JH. Internet addiction: associated with lower health-related quality of life among college students in Taiwan, and in what aspects? Comput Human Behav. 2018;84:460-6. doi: 10.1016/j.chb.2018.03.011.
  5. Hanna Lavalle MI, Ocampo Rivero MM, Janna Lavalle NM, Mena Gutiérrez MC, Torreglosa Portillo LD. [Social networks and quality of life in relation to university students’ health]. Rev Cuid. 2020;11(1):e953. doi: 10.15649/cuidarte.953.
  6. Barat Dastjerdi N, Davarpanah H, Esmaelli M. The relationship between use of social networks Facebook and social well-being of students in Isfahan university. J Appl Sociol. 2016;27(1):143-56. [Persian].
  7. Zamani MT, Zarei A, Sajjadi Hazaveh H, Haji Anzhai Z. The effect of using virtual social networks with the role of mediating quality of life on general health of war veterans and disabled athletes in Iran. Med J Mashhad Univ Med Sci. 2019;62:403-10. doi: 10.22038/mjms.2019.14892. [Persian].
  8. Wang JL, Jackson LA, Wang HZ, Gaskin J. Predicting social networking site (SNS) use: personality, attitudes, motivation and Internet self-efficacy. Pers Individ Dif. 2015;80:119-24. doi: 10.1016/j.paid.2015.02.016.
  9. Mohamed Haneefa K, Sumitha E. Perception and use of social networking sites by the students of Calicut university. DESIDOC J Libr Inf Technol. 2011;31(4):295-301. doi: 10.14429/djlit.31.4.1109.
  10. Forghani MM, Mohajeri R. The relationship between the use of figurative communication networks and the changes in the life style of youth. New Media Studies. 2018;4(13):259-92. doi: 10.22054/cs.2018.24690.293. [Persian].
  11. Razeghi N, Amri F. The effect of internet on social capital of the youth in Ghaemshahr. Sociological Studies of Youth. 2015;6(16):45-62. [Persian].
  12. Michalos AC, Zumbo BD, Hubley A. Health and the quality of life. Soc Indic Res. 2000;51(3):245-86. doi: 10.1023/a:1007010401301.
  13. Efati M, KafiMasole M, Delazar R. The study of mental health and its relationship with quality of life in substance dependents. Research on Addiction. 2012;6(22):55-64. [Persian].
  14. Sirgy MJ. The Psychology of Quality of Life: Hedonic Well- Being, Life Satisfaction, and Eudaimonia. Springer Science & Business Media; 2012. doi: 10.1007/978-94-007-4405-9.
  15. Panzini RG, Mosqueiro BP, Zimpel RR, Bandeira DR, Rocha NS, Fleck MP. Quality-of-life and spirituality. Int Rev Psychiatry. 2017;29(3):263-82. doi: 10.1080/09540261.2017.1285553.
  16. Campisi J, Folan D, Diehl G, Kable T, Rademeyer C. Social media users have different experiences, motivations, and quality of life. Psychiatry Res. 2015;228(3):774-80. doi: 10.1016/j.psychres.2015.04.042.
  17. Moradi A, Jamshidi E. Association of social networks and health-related quality of life among adults. Payesh. 2018;17(2):147-57. [Persian].
  18. Qian B, Huang M, Xu M, Hong Y. Internet use and quality of life: the multiple mediating effects of risk perception and internet addiction. Int J Environ Res Public Health. 2022;19(3):1795. doi: 10.3390/ijerph19031795.
  19. McCrae N, Gettings S, Purssell E. Social media and depressive symptoms in childhood and adolescence: a systematic review. Adolesc Res Rev. 2017;2(4):315-30. doi: 10.1007/s40894- 017-0053-4.
  20. Santini ZI, Koyanagi A, Tyrovolas S, Haro JM. The association of relationship quality and social networks with depression, anxiety, and suicidal ideation among older married adults: findings from a cross-sectional analysis of the Irish Longitudinal Study on Ageing (TILDA). J Affect Disord. 2015;179:134-41. doi: 10.1016/j.jad.2015.03.015.
  21. Eslami A, Mahmoudi A, Khabiri M, Najafiyan Razavi SM. The role of socioeconomic conditions in the citizens’ motivation for participating in public sports. Applied Research in Sport Management. 2014;2(3):89-104. [Persian].
  22. Jahanbani N. A Study of the Relationship Between Networks and Social Media on the Mental Health of Secondary School Principals in Chabahar. Jask Port: Islamic Azad University, Jask Islamic Azad University; 2015. [Persian].
  23. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473-483.
  24. Montazeri A, Goshtasebi A, Vahdaninia M, Gandek B. The Short Form Health Survey (SF-36): translation and validation study of the Iranian version. Qual Life Res. 2005;14(3):875- 82. doi: 10.1007/s11136-004-1014-5.
  25. Jafari M, Dayani MH. Internet use by students of Kabul university. Library and Information Science. 2010;13(3):179- 204. [Persian].
  26. Kian M, Ya’ghoubi Malal N, Riyaheeniya N. Analysis of the role and use of virtual social networks among university students. Educational Technologies in Learning. 2015;1(3):69- 88. doi: 10.22054/jti.2015.1817. [Persian].
  27. Statista. 2021. Available from: https://www.statista.com/ statistics/433871/daily-social-media-usage-worldwide/.
  28. Navabakhsh M, Rahmani S. Investigating the amount and type of Internet use and its positive and negative effects on social and psychological behavior of Islamic Azad University students. Sociological Studies of Youth. 2014;5(14):147-78. [Persian].
  29. Bekalu MA, McCloud RF, Viswanath K. Association of social media use with social well-being, positive mental health, and self-rated health: disentangling routine use from emotional connection to use. Health Educ Behav. 2019;46(2 Suppl):69-80. doi: 10.1177/1090198119863768.
  30. Liu BC. Variations in social quality of life indicators in medium metropolitan areas. Am J Econ Sociol. 1978;37(3):241-60. doi: 10.1111/j.1536-7150.1978.tb01227.x.
  31. Khalaila R, Vitman-Schorr A. Internet use, social networks, loneliness, and quality of life among adults aged 50 and older: mediating and moderating effects. Qual Life Res. 2018;27(2):479-89. doi: 10.1007/s11136-017-1749-4.
  32. Naeinian MR, Adabdoost F, Khatibi S, Ghomian F. Use of internet and its relationship with mental health and life quality of high school students. Clinical Psychology and Personality. 2020;14(2):103-13. doi: 10.22070/14.2.103. [Persian].
  33. Ragheb BM, El-Boraie OA, Shohda MM, Ibrahim N. Internet addiction and quality of life among students at technical institute of nursing, Mansoura university, Egypt. International Journal of Nursing Didactics. 2018;8(9):11-8. doi: 10.15520/ ijnd.v8i09.2290.
  34. Pang H. WeChat use is significantly correlated with college students’ quality of friendships but not with perceived well-being. Heliyon. 2018;4(11):e00967. doi: 10.1016/j. heliyon.2018.e00967.
  35. Fanni Z, Heydari S, Aghaei P. The evaluation of urban life quality, with emphasis on gender, case study: Ghorveh city. Journal of Urban Ecology Researches. 2016;6(12):65-78. [Persian].
  36. Shams Alizadeh N, Mohsenpour B, Ghaderi E, Razaei F, Delavari A. Quality of life in 15-64 years old people in Kurdistan province, western part of Iran. Journal of Fundamentals of Mental Health. 2010;12(45):56-448. doi: 10.22038/jfmh.2010.1123. [Persian].
  37. Mohtadijafari S, Ashayeri H, Banisi P. The effectiveness of schema therapy techniques in mental health and quality of life of women with premenstrual dysphoric disorder. Iran J Psychiatry Clin Psychol. 2019;25(3):278-91. doi: 10.32598/ ijpcp.25.3.278.
  38. Hovsepian S, Qorbani M, Asadi M, Hatami M, Motlagh ME, Mahdavi-Gorabi A, et al. Socioeconomic inequalities in quality of life in Iranian children and adolescents: the weight disorder survey of the CASPIAN-IV study. J Res Health Sci. 2019;19(3):e00451.
  39. Dong X, Ding M, Chen W, Liu Z, Yi X. Relationship between smoking, physical activity, screen time, and quality of life among adolescents. Int J Environ Res Public Health. 2020;17(21):8043. doi: 10.3390/ijerph17218043.

 

Journal of Kerman University of Medical Sciences
Volume 31, Issue 6
November and December 2024
Pages 299-304
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