Korean J Women Health Nurs.  2023 Sep;29(3):200-207. 10.4069/kjwhn.2023.08.30.

The effect of digital literacy on depressive symptoms among older Korean women: a mediation analysis focusing on the role of social support

Affiliations
  • 1Department of Social Welfare, Hallym University, Chuncheon, Korea
  • 2Department of Social Welfare, Ewha Womans University, Seoul, Korea

Abstract

Purpose
The purpose of this study was to investigate the relationship between digital literacy and depressive symptoms, as well as the mediating role of social support in this relationship, among older women (60 years and older) in Korea. Methods: This study analyzed data from the User Experience Evaluation Survey, which was conducted by the Ewha Institute for Age Integration Research to improve the accessibility of digital information for older adults research from May to September 2020. Survey data on depressive symptoms, digital literacy, and social support were analyzed using descriptive statistics, Pearson correlation coefficients, and multiple regression. Results: The factors influencing depressive symptoms among older women included work status (B=–.19, p=.01), social support (B=–.17, p<.001), self-rated health (B=–.13, p=.003), and digital literacy (B=–.10, p=.005), which had an explanatory power of 33%. In addition, social support played a mediating role in the relationship between digital literacy and depressive symptoms (B= –.05, SE=.02; 95% CI, –.09 to –.02). Conclusion: The findings of this study support the need to develop and apply interventions that promote digital literacy among older women to mitigate depressive symptoms by increasing social support.

Keyword

Depressive symptoms; Digital divide; Digital literacy; Older women; Social support; 우울; 디지털 격차; 디지털 정보활용능력; 여성 노인; 사회적 지지

Figure

  • Figure 1. Conceptual framework of the study.

  • Figure 2. The mediation model of depressive symptoms.p <.05, **p <.01, ***p <.001.


Cited by  1 articles

Special issue on digital era education: tracing digital health transformation in women’s health nursing
Sook Jung Kang
Korean J Women Health Nurs. 2023;29(3):151-152.    doi: 10.4069/kjwhn.2023.09.15.


Reference

References

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.
Article
2. Seo HJ, Myeong SH. Domestic information divide research trends: focusing on domestic journals. J Korean Assoc Reg Inf Soc. 2016; 19(4):151–187. https://doi.org/10.22896/karis.2016.19.4.006.
Article
3. Lee SH, Park S, Park JM, Keum BS, Min SJ, Jo YT. The report on the digital divide [Internet]. Seoul: National Information Society Agency; 2021 [cited 2023 May 2]. Available from: https://www.iitp.kr/kr/1/knowledge/statisticsView.it?masterCode=publication&searClassCode=K_STAT_01&identifier=02-008-220325-000001.
4. Tirado-Morueta R, Hernando-Gómez Á, Aguaded-Gomez JI. The capacity of elderly citizens to access digital media in Andalusia (Spain). Inf Commun Soc. 2016; 19(10):1427–1444. https://doi.org/10.1080/1369118X.2015.1111401.
Article
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.
Article
6. Kim HS, Sim JS. Digital literacy of elderly people and social activities. Korean J Policy Anal Eval. 2020; 30(2):153–180. https://doi.org/10.23036/kapae.2020.30.2.006.
Article
7. Hwang HJ, Hwang YS. Gaps and reasons of digital divide within the elderly in Korea: focusing on household composition. Soc Sci Res. 2017; 24(3):359–386. https://doi.org/10.46415/jss.2017.09.24.3.359.
Article
8. Hwang N. The categorization of leisure activities for older people in Korea. Health Soc Welf Rev. 2014; 34(2):37–69. https://doi.org/10.15709/hswr.2014.34.2.37.
Article
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.
Article
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.
Article
12. Lim J, Kim E, Kim M. The effects of digital literacy on the quality of life in elderly. J Lifelong Learn Soc. 2020; 16(2):111–135. https://doi.org/10.26857/JLLS.2020.5.16.2.111.
Article
13. Jang YE. The influence of the digital divide in elderly’s trait. J Korea Soc Comput Inf. 2019; 24(2):209–215. https://doi.org/10.9708/jksci.2019.24.02.209.
Article
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.
15. Lee G, Yang Y. Relationship between social support and depression in elderly people: a systematic review. Korean Public Health Res. 2021; 47(4):31–55. https://doi.org/10.22900/KPHR.2021.47.4.003.
Article
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.
Article
17. Yoon H, Lee O, Beum K, Gim Y. Effects of online social relationship on depression among older adults in South Korea. J Korea Contents Assoc. 2016; 16(5):623–637. https://doi.org/10.5392/JKCA.2016.16.05.623.
Article
18. Lee H, Lee N. Effect of online community activities on social capital. J Korea Contents Assoc. 2014; 14(9):153–163. https://doi.org/10.5392/JKCA.2014.14.09.153.
Article
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.
Article
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.
Article
21. Kim M, Kim B, Park S. Factors influencing mHealth use in older adults with diabetes. Knowl Manag Re. 2022; 23(4):113–132. https://doi.org/10.15813/kmr.2022.23.4.006.
Article
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.
Article
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.
Article
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.
Article
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.
Article
26. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991; 32(6):705–714. https://doi.org/10.1016/0277-9536(91)90150-b.
Article
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.
30. Durbin J, Watson GS. Testing for serial correlation in least squares regression. I. Biometrika. 1950; 37(3-4):409–428. https://doi.org/10.1093/biomet/37.3-4.409.
Article
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