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The Effect of University Students' Dependence on Social Networking Services on a Healthy Lifestyle: Mediating Effect of Social Networks

대학생의 소셜 네트워킹 서비스 의존도가 건강한 라이프스타일에 미치는 효과: 사회적 관계망의 매개효과

  • An, Hyunseo (Dept. of Occupational Therapy, Graduate School of University) ;
  • Kim, Inhye (Dept. of Occupational Therapy, Graduate School of University) ;
  • Yun, Sohyeon (Dept. of Occupational Therapy, Graduate School of University) ;
  • Park, Hae Yean (Dept. of Occupational Therapy, College of Software Digital Healthcare Convergence, Yonsei University)
  • 안현서 (연세대학교 일반대학원 작업치료학과 ) ;
  • 김인혜 (연세대학교 일반대학원 작업치료학과 ) ;
  • 윤소현 (연세대학교 일반대학원 작업치료학과 ) ;
  • 박혜연 (연세대학교 소프트웨어디지털헬스케어융합대학 작업치료학과 )
  • Received : 2024.06.24
  • Accepted : 2024.07.18
  • Published : 2024.08.31

Abstract

Objective : This study investigated the mediating effect of social networks on the relationship between social networking service (SNS) dependence and healthy lifestyle among university students. Methods : Data from 374 university students were collected via online surveys. Sociodemographic data, SNS dependence, social networks, and healthy lifestyle were assessed. Mediation analysis using bootstrapping was conducted to examine the mediating effect of social networks on the relationship between SNS dependence and healthy lifestyle. Results : A total of 374 university students participated in this study. The average age of the participants was 21.8 years (standard deviation = 2.1), and 70.3% were females. Mediation analysis revealed that SNS dependence had a direct effect on healthy lifestyle (β = -.078, standard error [SE] = .052, p = .128), which was not statistically significant. However, a statistically significant indirect effect was observed through social networks (β = -.052, SE = .020, p = .011). The total effect of SNS dependence on a healthy lifestyle was significant (β = -.130, SE = .053, p = .014). Conclusion : Social networks play a critical role in promoting a healthy lifestyle. Health professionals should prioritize interventions to address SNS dependence and leverage social networks to encourage healthier behaviors.

목적 : 본 연구는 대학생의 소셜 네트워킹 서비스(Social Network Service: SNS) 의존도와 건강한 라이프스타일 간의 관계에서 사회적 관계망의 매개효과를 조사하였다. 연구방법 : 374명의 대학생을 대상으로 온라인 설문조사를 통해 자료를 수집하였다. 인구통계학적 데이터, SNS 의존도, 사회적 관계망, 건강한 라이프스타일을 평가하였다. 부트스트래핑을 사용한 매개분석을 통해 SNS 의존도와 건강한 라이프스타일 간의 관계에서 사회적 관계망의 매개효과를 조사하였다. 결과 : 대상자의 평균 연령은 21.8세(standard deviation = 2.1)였으며, 70.3%가 여성이었다. 매개분석 결과, SNS 의존도의 건강한 라이프스타일에 대한 직접 효과는 통계적으로 유의하지 않았다(β = -.078, standard error [SE] = .052, p = .128). 그러나, 사회적 관계망을 통한 간접 효과는 통계적으로 유의한 것으로 나타났다(β = -.052, SE = .020, p = .011). SNS 의존도가 건강한 라이프스타일에 미치는 총 효과는 유의미했다(β = -.130, SE = .053, p = .014). 결론 : 대학생의 사회적 관계망은 건강한 라이프스타일을 촉진하는 데 중요한 역할을 한다. 건강 전문가들은 SNS 의존을 해결하고 사회적 관계망을 활용하여 더 건강한 행동을 장려하는 개입에 중점을 두어야 한다.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2021S1A3A2A02096338).

References

  1. Ann, J. E., Woo, D. H., Sung, H. A., & Bae, S. M. (2020). The effects of SNS use motivation and self-regulation on SNS addiction tendency in college students. Journal of Social Science, 31(1), 227-243. https://doi.org/10.16881/jss.2020.01.31.1.227
  2. Antonucci, T. C., Ajrouch, K. J., & Birditt, K. S. (2014). The convoy model: Explaining social relations from a multidisciplinary perspective. The Gerontologist, 54(1), 82-92. https://doi.org/10.1093/geront/gnt118
  3. Antonucci, T. C., & Kahn, R. L. (2012, May). Affordable housing, health and productivity activity: A field experiment. Presentation at the MacArthur Foundation Conference on How Housing Matters, Chicago, IL, United States.
  4. Bae, J. H., & Chang, H. K. (2006). The effect of MBSR-K program on emotional response of college students. Korean Journal of Health Psychology, 11(4), 673-688.
  5. Bae, S. M. (2023). The association between adverse childhood and adulthood experiences, social isolation, loneliness, and depression among young adults in South Korea. International Journal of Environmental Research and Public Health, 20(19), 6900. https://doi.org/10.3390/ijerph20196900
  6. Beard, J. R., Officer, A., de Carvalho, I. A., Sadana, R., Pot, A. M., Michel, J. P., Lloyd-Sherlock, P., Epping-Jordan, J. E., Peeters, G. M. E. E., Mahanani, W. R., Thiyagarajan, J. A., & Chatterji, S. (2016). The world report on ageing and health: A policy framework for healthy ageing. Lancet, 387(10033), 2145-2154. https://doi.org/10.1016/S0140-6736(15)00516-4
  7. Berkman, L. F., & Glass, T. (2000). Social integration, social networks, social support, and health. In L. F. Berkman & I. Kawachi (Eds.), Social epidemiology (pp. 137-173). Oxford University Press.
  8. Bowman, N. A. (2010). College diversity experiences and cognitive development: A meta-analysis. Review of Educational Research, 80(1), 4-33. https://doi.org/10.3102/0034654309352495
  9. Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
  10. Brailovskaia, J., & Teichert, T. (2020). 'I like it' and "I need it": Relationship between implicit associations, flow, and addictive social media use. Computers in Human Behavior, 113, 106509. https://doi.org/10.1016/j.chb.2020.106509
  11. Buizza, C., Bazzoli, L., & Ghilardi, A. (2022). Changes in college students mental health and lifestyle during the COVID-19 pandemic: A systematic review of longitudinal studies. Adolescent Research Review, 7(4), 537-550. https://doi.org/10.1007/s40894-022-00192-7
  12. Choi, Y. J., & You, S. S. (2015). The phenomenological study about the use of Facebook for college students. Korean Journal of Advertising, 26(6), 185-211. https://doi.org/10.14377/KJA.2015.8.31.185
  13. Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310-357. https://doi.org/10.1037/0033-2909.98.2.310
  14. Davies, T., & Cranston, P. (2008). Youth work and social networking final research report. National Youth Agency.
  15. Education Policy Network Information Center. (2015). Case studies on the use of social media in the UK education sector. https://edpolicy.kedi.re.kr/frt/boardView.do?strCurMenuId=10104&nTbBoardArticleSeq=240466
  16. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook "friends". Social capital and college students' use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143-1168. https://doi.org/10.1111/j.1083-6101.2007.00367.x
  17. Farhud, D. D. (2015). Impact of lifestyle on health. Iranian Journal of Public Health, 44(11), 1442-1444.
  18. Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149-1160. https://doi.org/10.3758/BRM.41.4.1149
  19. Goodyear, V. A., Boardley, I., Chiou, S. Y., Fenton, S. A. M., Makopoulou, K., Stathi, A., Wallis, G. A., Veldhuijzen van Zanten, J. J. C. S., & Thompson, J. L. (2021). Social media use informing behaviours related to physical activity, diet and quality of life during COVID-19: A mixed methods study. BMC Public Health, 21(1), 1333. https://doi.org/10.1186/s12889-021-11398-0
  20. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
  21. Hong, K. P., & Jeon, H. S. (2017). The relationship between college students' SNS addiction tendency and their interpersonal problems: Focused on the moderating effect of social support. Health and Social Welfare Review, 37(1), 34-67. https://doi.org/10.15709/hswr.2017.37.1.34
  22. Hong, S. Y. (2015). Effects of SNS use features and ego-identity on SNS addiction proneness of college students (Master's thesis). Myongji University.
  23. Hong, S., Malik, M. L., & Lee, M. K. (2003). Testing configural, metric, scalar, and latent mean invariance across genders in sociotropy and autonomy using a non-western sample. Educational and Psychological Measurement, 63(4), 636-654. https://doi.org/10.1177/0013164403251332
  24. Hwang, W. (2010). Cardiovascular disease in Korean blue-collar workers: Actual risk, risk perception, and risk reduction behavior (Doctoral dissertation). University of California.
  25. Hyun, D. H. (2020). A study on sugar intakes by food-related lifestyle and consumption value of university students in Jeju (Doctoral dissertation). Jeju University.
  26. Jun, H. J., & Kim, M. Y. (2015). The influence of internet use on satisfaction with social relationships and depression among older adults living alone in Seoul. Korean Journal of Social Welfare Research, 43, 73-98.
  27. Kang, H. (2013). A study on the SNS addiction tendency of students and the relationship between perceived social support, loneliness, perceived health status, interpersonal relationship and the application of therapeutic recreation through physical activity. The Korean Journal of Sports Science, 22(1), 121-133.
  28. Kim, B., & Kim, Y. (2017). College students' social media use and communication network heterogeneity: Implications for social capital and subjective wellbeing. Computers in Human Behavior, 73, 620-628. https://doi.org/10.1016/j.chb.2017.03.033
  29. Kim, H. S. (2014). The influence of interpersonal relation tendency on SNS commitment among college students: The mediating effect of social anxiety. Journal of Human Understanding and Counseling, 35, 11-26.
  30. Kim, J. H. (2009). Analysis on lifestyle differences to the type participating in leisure sports of college students (Master's thesis). Yong-In University.
  31. Kim, N. M., & Kim, S. S. (2013). Mediation effects of social support and resilience between life stress and psychological well-being among Korean college students. Korea Journal of Counseling, 14(2), 1125-1144. https://doi.org/10.15703/KJC.14.2.201304.1125
  32. Korea Information Society Development Institute. (2023). Social Network Service (SNS) usage behavior by generation. https://www.kisdi.re.kr/report/view.do?key=m2101113025790&masterId=4333447&arrMasterId=4333447&artId=659156
  33. Lee, C. Y., & Park, Y. J. (2022). The effect of lifestyle and time management on self-efficacy and quality of life in college students. Journal of the Korea Entertainment Industry Association, 16(4), 285-295. https://doi.org/10.21184/jkeia.2022.6.16.4.285
  34. Lee, S. H. (2013). A study on the policy implication on the addiction of social media service user: Focusing on the proposal of Korean SNS addiction Index (KSAI). Journal of Digital Convergence, 11(1), 255-265. https://doi.org/10.14400/JDPM.2013.11.1.255
  35. Lim, J. T., Park, J. H., Lee, J. S., Oh, J., & Kim, Y. (2013). The relationship between the social network of community-living elders and their health-related quality of life in Korean province. Journal of Preventive Medicine and Public Health, 46(1), 28-38. https://doi.org/10.3961/jpmph.2013.46.1.28
  36. Lubben, J., & Gironda, M. (2017). Measuring social networks and assessing their benefits. In G. Allan & C. Phillipson (Eds.), Social networks and social exclusion: Sociological and policy perspectives (pp. 20-34). Taylor & Francis.
  37. National Information Society Agency. (2023). Survey on the internet usage. https://www.nia.or.kr/site/nia_kor/ex/bbs/View.do;jsessionid=0ACF87D48C054F9C03104FC2F7E8044E.2313f137729c06361105?cbIdx=99870&bcIdx=25521
  38. Panova, T., & Lleras, A. (2016). Avoidance or boredom: Negative mental health outcomes associated with use of information and communication technologies depend on users' motivations. Computers in Human Behavior, 58, 249-258. https://doi.org/10.1016/j.chb.2015.12.062
  39. Park, K. H., & Park, J. H. (2020). Development of an elderly lifestyle profile: A Delphi survey of multidisciplinary health-care experts. Plos One, 15(6), Article e0233565. https://doi.org/10.1371/journal.pone.0233565
  40. Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. Jossey-Bass. https://doi.org/10.14426/jsaa.v2i2.80
  41. Shahnawaz, M. G., & Rehman, U. (2020). Social networking addiction scale. Cogent Psychology, 7(1), 1832032. https://doi.org/10.1080/23311908.2020.1832032
  42. Song, S. H., Lee, H. K., Kim, J. W., & Lee, K. (2013). Social support according to temperament and character in college students. Journal of Korean Neuropsychiatric Association, 52(3), 157-162. https://doi.org/10.4306/jknpa.2013.52.3.157
  43. Walker, S. N., Sechrist, K. R., & Pender, N. J. (1987). The health-promoting lifestyle profile: Development and psychometric characteristics. Nursing Research, 36(2), 76-81. https://doi.org/10.1097/00006199-198703000-00002
  44. Yoon, M., & Park, W. (2014). Psychosocial factors influencing the SNS (social networking service) addiction tendency among university students. Mental Health & Social Work, 42, 208-236.
  45. Yun, S., & Lim, Y. M. (2023). A pilot study of applying intervention strategies to form a healthy lifestyle in the elderly. Korea Gerontological Society, 43(4), 615-627. https://doi.org/10.31888/JKGS.2023.43.4.615
  46. Zhao, L. (2023). Social media addiction and its impact on college students' academic performance: The mediating role of stress. The Asia-Pacific Education Researcher, 32(1), 81-90. https://doi.org/10.1007/s40299-021-00635-0