1. Kim T, Han S. An exploratory study on social issues related to ChatGPT: focusing on news big data-based topic modeling analysis. J Digit Content Soc. 2023;24(6):1209-1220.
5. Kim J. How much do we know about the use of smartphones in the silver generation?: Determinants of the digital divide within the silver generation. Inf Soc Media. 2020;21(3):33-64.
https://doi.org/10.52558/ISM.2020.12.21.3.33
9. Kim MY, Jun HJ. The relationships among IT use, satisfaction with IT use and life satisfaction of Korean older adults. J Asian Reg Assoc Home Econ. 2014;21(4):167-178.
10. Yoon H, Lim JA, Noh E, Choi EY, Jin JS, Lee G, et al. Evaluation of the effectiveness of smartphone education for the elderly to improve digital literacy. Korean Public Health Res. 2023;49(1):87-98.
https://doi.org/10.22900/kphr.2023.49.1.006
11. Tsai HY, Rikard RV, Cotten SR, Shillair R. Senior technology exploration, learning, and acceptance (STELA) model: from exploration to use: a longitudinal randomized controlled trial. Educ Gerontol. 2019;45(12):728-743.
http://doi.org/10.1080/03601277.2019.1690802
14. Lee Y, Kim SJ, Hwang NH, Lim JM, Joo BH, NamKung EH, et al. 2020 The survey of living conditions and welfare needs of Korean older persons [Internet]. Seoul: Korea Institute for Health and Social Affairs; 2020 [cited 2023 May 9]. Available from:
https://repository.kihasa.re.kr/handle/201002/38157
16. Park SY. The effects of health-related factors and social networks on depressive symptoms in elderly men and women: focusing on the moderating effects of gender. Health Soc Welf Rev. 2018;38(1):154-190.
https://doi.org/10.15709/HSWR.2018.38.1.154
19. Morris ME, Adair B, Ozanne E, Kurowski W, Miller KJ, Pearce AJ, et al. Smart technologies to enhance social connectedness in older people who live at home. Australas J Ageing. 2014;33(3):142-152.
https://doi.org/10.1111/ajag.12154
20. Park SY, Chung SD. The effects of digital information access on depressive symptoms among middle-aged and elderly groups: focusing on the mediating effects of digital information competency and social networks. Health Soc Welf Rev. 2019;39(3):179-214.
https://doi.org/10.15709/hswr.2019.39.3.179
22. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41:1149-1160.
https://doi.org/10.3758/BRM.41.4.1149
23. Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med. 1994;10(2):77-84.
24. Bae S, Kim YY, Doh M, Kim H, Park BS. Testing factor structure and measurement invariance of 10-item versions of the CES-D scale: focusing on Andersen form and Boston form of the CES-D-10. Ment Health Soc Work. 2020;48(1):33-55.
https://doi.org/10.24301/MHSW.2020.03.48.1.33
25. Shin S, Lee S. A study on development and validity verification of a measurement tool for digital literacy for university students. J Learn-Centr Curric Instr. 2019;19(7):749-768.
https://doi.org/10.22251/JLCCI.2019.19.7.749
27. Lim MK, Kim MH, Shin YJ, Yoo MS, Yang BM. Social support and self-rated health status in a low income neighborhood of Seoul, Korea. Korean J Prev Med. 2003;36(1):54-62.
28. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. New York, NY: Guilford Publications; 2013.
29. Kline RB. Convergence of structural equation modeling and multilevel modeling. In: Williams M, Vogt W, editors. The SAGE handbook of innovation in social research methods. Los Angeles; SAGE; 2011. p. 562-589.
https://doi.org/10.4135/9781446268261.