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Mediating Role of Social Network Support in the Relationship Between Depression and Online Social Networking

우울과 온라인 사회관계망의 관계에서 오프라인 사회관계망의 매개 역할

  • Kim, In-Hye (Dept. of Occupational Therapy, Graduate School of University) ;
  • Park, Hae-Yean (Dept. of Occupational Therapy, College of Software Digital Healthcare Convergence, Yonsei University) ;
  • Nam, Sang-Hun (Yonsei New-normal Lifestyle Research Center, Yonsei University)
  • 김인혜 (연세대학교 일반대학원 작업치료학과) ;
  • 박혜연 (연세대학교 소프트웨어디지털헬스케어융합대학 작업치료학과) ;
  • 남상훈 (연세대학교 초고령사회 뉴노멀 라이프스타일 연구소)
  • Received : 2024.05.07
  • Accepted : 2024.06.19
  • Published : 2024.08.31

Abstract

Objective : This study investigated the effects of depression on online and offline social interactions among middle-aged and older adults with the aim of enhancing their social connectivity and mental well-being. Methods : Utilizing the Patient Health Questionnaire-9 and the Lubben Social Network Scale-6, this study assessed depression and social relationships in 429 middle-aged adults. We explored the mediation effects of offline relationships on online interactions using path analysis and the Sobel test. Results : Significant links were found between depression and social relationships in a cohort of educated males averaging 63 years of age. Offline interactions mediated 32% of the influence of depression on online relationships, with strong model fit indices emphasizing the importance of offline social interactions. Conclusion : This study highlights the role of active engagement in online and offline networks in improving mental health and managing the impact of depression on social activity among older adults, helping prevent isolation.

목적 : 이 연구는 중년 및 노년층의 온라인 및 오프라인 사회적 상호작용에 대한 우울증의 영향을 조사하여 사회적 연결성과 정신적 웰빙을 향상시키기 위함이다. 연구방법 : 환자 건강 설문지(Patient Health Questionnaire-9)와 루벤의 사회 네트워크 척도(Lubben Social Network Scale-6)를 사용하여 429명의 중년 성인의 우울증과 사회적 관계를 평가하였다. 경로 분석과 소벨 검정을 사용하여 오프라인 관계가 온라인 상호작용에 미치는 매개 효과를 탐구하였다. 결과 : 교육 수준이 높은 평균 63세의 남성 코호트에서 우울증과 사회적 관계 사이에 유의미한 연관성을 확인하였다. 오프라인 상호작용은 우울증이 온라인 관계에 미치는 영향의 32%를 매개하였다. 결론 : 이 연구는 온라인 및 오프라인 네트워크에서의 적극적인 참여가 노인의 정신 건강을 개선하고 우울증이 사회 활동에 미치는 영향을 관리하며 고립을 방지하는 데 도움이 될 수 있는 역할이 존재함을 확인하였다.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF2021S1A3A2A02096338).

References

  1. Al-Kandari, Y., & Al-Sejari, M. (2020). Social isolation, social support and their relationship with smartphone addiction. Information, Communication & Society, 24(13), 1925-1943. https://doi.org/10.1080/1369118X.2020.1749698
  2. Baron, R., & Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037//0022-3514.51.6.1173
  3. Beneito-Montagut, R., Begueria, A., & Cassian, N. (2023). The social connectedness of digital practices in later life: It's not just about learning, it's all about relationships. The Sociological Review, 71(3), 581-600. https://doi.org/10.1177/00380261221144154
  4. Benvenuti, M., Giovagnoli, S., Mazzoni, E., Cipresso, P., Pedroli, E., & Riva, G. (2020). The relevance of online social relationships among the elderly: How using the web could enhance quality of life?. Frontiers in Psychology, 11, 551862. https://doi.org/10.3389/fpsyg.2020.551862
  5. Bjelland, I., Krokstad, S., Mykletun, A., Dahl, A. A., Tell, G. S., & Tambs, K. (2008). Does a higher educational level protect against anxiety and depression? The HUNT study. Social Science & Medicine, 66(6), 1334-1345. https://doi.org/10.1016/j.socscimed.2007.12.019
  6. Chen, E., Wood, D., & Ysseldyk, R. (2022). Online social networking and mental health among older adults: A scoping review. Canadian Journal on Aging/La Revue Canadienne Du Vieillissement, 41(1), 26-39. https://doi.org/10.1017/S0714980821000040
  7. Cotten, S. R., Anderson, W. A., & McCullough, B. M. (2013). Impact of internet use on loneliness and contact with others among older adults: Cross-sectional analysis. Journal of Medical Internet Research, 15(2), e39. https://doi.org/10.2196/jmir.2306
  8. Cummings, J., Butler, B., & Kraut, R. (2002). The quality of online social relationships. Commun. ACM, 45(7), 103-108. https://doi.org/10.1145/514236.514242
  9. Czaja, S. J. (2017). The potential role of technology in supporting older adults. Public Policy & Aging Report, 27(2), 44-48. https://doi.org/10.1093/ppar/prx006
  10. Damodaran, L., Olphert, C. W., & Sandhu, J. (2014). Falling off the bandwagon? Exploring the challenges to sustained digital engagement by older people. Gerontology, 60(2), 163-173. https://doi.org/10.1159/000357431
  11. Doe, J., van de Wetering, R., Honyenuga, B., & Versendaal, J. (2022). Extended contextual validation of stakeholder approach to firm technology adoption: Moderating and mediating relationships in an innovation ecosystem. Society and Business Review, 17(4), 506-540. https://doi.org/10.1108/SBR-10-2020-0128
  12. Donovan, N. J., & Blazer, D. (2020). Social isolation and loneliness in older adults: Review and commentary of a national academies report. Association for Geriatric Psychiatry, 28(12), 1233-1244. https://doi.org/10.1016/j.jagp.2020.08.005
  13. Garcia, E., Di Paolo, E. A., & De Jaegher, H. (2022). Embodiment in online psychotherapy: A qualitative study. Psychol Psychother, 95(1), 191-211. https://doi.org/10.1111/papt.12359
  14. Glaser, P., Liu, J. H., Hakim, M. A., Vilar, R., & Zhang, R. J. (2018). Is social media use for networking positive or negative? Offline social capital and internet addiction as mediators for the relationship between social media use and mental health. New Zealand Journal of Psychology, 47(3), 12-18. https://doi.org/10.1037/a0027029
  15. Hanway, P., Akehurst, L., Vernham, Z., & Hope, L. (2021). The effects of cognitive load during an investigative interviewing task on mock interviewers' recall of information. Legal and Criminological Psychology, 26(1), 25-41. https://doi.org/10.1111/lcrp.12178
  16. Hulur, G., & Macdonald, B. (2020). Rethinking social relationships in old age: Digitalization and the social lives of older adults. American Psychologist, 75(4), 554-566. https://doi.org/10.1037/amp0000604
  17. Izadi-avanji, F. S., Rahemi, Z., Adib-Hajbaghery, M., & Yazdani-Darki, M. (2021). Factors influencing use of technology in older adults' daily life. International Archives of Health Sciences, 8(3), 190-195. https://doi.org/10.4103/iahs.iahs_14_21
  18. Jones, I. R. (2015). Connectivity, digital technologies and later life. In W. M. Julia Twigg (Ed.), Routledge Handbook of Cultural Gerontology (1st ed.), Routledge. https://doi.org/https://doi.org/10.4324/9780203097090
  19. Juris, J. J., Bouldin, E. D., Uva, K., Cardwell, C. D., Schulhoff, A., & Hiegl, N. (2022). Virtual intergenerational reverse-mentoring program reduces loneliness among older adults: Results from a pilot evaluation. International Journal of Environmental Research and Public Health, 19(12), 7121. https://doi.org/10.3390/ijerph19127121
  20. Jylha, M. (2009). What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Social Science & Medicine, 69(3), 307-316. https://doi.org/10.1016/j.socscimed.2009.05.013
  21. Kessler, R. C., Ruscio, A. M., Shear, K., & Wittchen, H. U. (2010). Epidemiology of anxiety disorders. In M. B. Stein & T. Steckler (Eds.), Behavioral neurobiology of anxiety and its treatment (pp. 21-35). Springer Science + Business Media.
  22. Klonoff, D. C., Shang, T., Zhang, J. Y., Cengiz, E., Mehta, C., & Kerr, D. (2022). Digital Connectivity: The sixth vital sign. Journal of Diabetes Science and Technology, 16(5), 1303-1308. https://doi.org/10.1177/19322968211015241
  23. Kroencke, L., Harari, G. M., Back, M. D., & Wagner, J. (2023). Well-being in social interactions: Examining personality-situation dynamics in face-to-face and computer-mediated communication. Journal of Personality and Social Psychology, 124(2), 437. https://doi.org/10.1037/pspp0000447
  24. Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
  25. Kuehner, C. (2017). Why is depression more common among women than among men? The Lancet Psychiatry, 4(2), 146-158. https://doi.org/10.1016/S2215-0366(16)30263-2
  26. Kwak, D., & Kim, W. (2017). Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation. PloS One, 12(5), e0177729. https://doi.org/10.1371/journal.pone.0177729
  27. Lee, L. N., Kim, M. J., & Hwang, W. J. (2019). Potential of augmented reality and virtual reality technologies to promote wellbeing in older adults. Applied Sciences, 9(17), 3556. https://doi.org/10.3390/app9173556
  28. Lieberman, A. J., & Schroeder, J. (2020). Two social lives: How differences between online and offline interaction influence social outcomes. Current Opinion in Psychology, 31, 16-21. https://doi.org/10.1016/j.copsyc.2019.06.022
  29. Lubben, J. E. (1988). Assessing social networks among elderly populations. Family & Community Health, 11(3), 42-52. https://doi.org/10.1097/00003727-198811000-00008
  30. Lubben, J., Blozik, E., Gillmann, G., Iliffe, S., von Renteln Kruse, W., Beck, J. C., & Stuck, A. E. (2006). Performance of an abbreviated version of the Lubben social network scale among three European community-dwelling older adult populations. Gerontologist, 46(4), 503-513. https://doi.org/10.1093/geront/46.4.503
  31. Macdonald, B., & Hulur, G. (2021). Well-being and loneliness in swiss older adults during the COVID-19 pandemic: The role of social relationships. Gerontologist, 61(2), 240-250. https://doi.org/10.1093/geront/gnaa194
  32. National Information Society Agency of Korea. (2021). 2020 survey on the internet usage. https://www.mohw.go.kr/board.es?mid=a10411010100&bid=0019&act=view&list_no=366496
  33. Nowland, R., Necka, E. A., & Cacioppo, J. T. (2018). Loneliness and social internet use: Pathways to reconnection in a digital world?. Perspectives on Psychological Science, 13(1), 70-87. https://doi.org/10.1177/1745691617713052
  34. Oh, H. J., Ozkaya, E., & Larose, R. (2014). How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction. Computers in Human Behavior, 30, 69-78. https://doi.org/10.1016/j.chb.2013.07.053
  35. Peen, J., Schoevers, R. A., Beekman, A. T., & Dekker, J. (2010). The current status of urban-rural differences in psychiatric disorders. Acta Psychiatrica Scandinavica, 121(2), 84-93. https://doi.org/10.1111/j.1600-0447.2009.01438.x
  36. Rosen, D. J., & Kelly, A. M. (2022). Working together or alone, near, or far: Social connections and communities of practice in in-person and remote physics laboratories. Physical Review Physics Education Research, 18(1), 010105. https://doi.org/10.1103/PhysRevPhysEducRes.18.010105
  37. Salathe, M., Vu, D. Q., Khandelwal, S., & Hunter, D. R. (2013). The dynamics of health behavior sentiments on a large online social network. EPJ Data Science, 2(1), 1-12. https://doi.org/10.1140/epjds16
  38. Scott, S., & Scott, S. (2009). Insiders-outsiders: Personal journeys through depression from both sides of the divide. Stephen Scott.
  39. Smith, D. (2020). Cultural group selection and human cooperation: A conceptual and empirical review. Evolutionary Human Sciences, 2, e2. https://doi.org/10.1017/ehs.2020.2
  40. Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3-17. https://doi.org/10.1177/2167702617723376
  41. Westmaas, J. L., Fallon, E., McDonald, B. R., Driscoll, D., Richardson, K., Portier, K., & Smith, T. (2020). Investigating relationships among cancer survivors' engagement in an online support community, social support perceptions, well-being, and moderating effects of existing (offline) social support. Support Care Cancer, 28(8), 3791-3799. https://doi.org/10.1007/s00520-019-05193-2