Mediating Effect of Digital Information Utilization Ability and Interpersonal Contact on the Relationship between Cognitive Function and Depression in Korean Older Adults
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Abstract
Background: As Korea rapidly enters a super-aged society, interest in depression, a change in psychological function that occurs with aging, is increasing. Although previous studies have suggested a relationship between depression and cognitive decline in older adults, they have not clarified how cognitive decline leads to depression. We aimed to examine the mediating effects of digital information utilization ability (DIUA) and interpersonal contact (IC) in the relationship between cognitive function and depression in older adults.
Methods: This descriptive cross-sectional study used data from the 2020 Korean Elderly Survey. The participants were 9,920 seniors aged 65 years and older. Descriptive statistics, t-test, and one-way ANOVA correlation analysis were performed using SPSS 24.0 and the dual mediation effect was analyzed using PROCESS Macro for SPSS v.3.5 model 6.
Results: Depression had a negative correlation with cognitive function (r=-.26, P<.001), DIUA (r=-.20, P<.001), and IC (r=-.13, P<.001). Cognitive function was positively correlated with DIUA (r=.40, P<.001) and IC (r=.08, P<.001). There was a positive correlation between DIUA and IC (r=.10, P<.001). Finally, the mediating effect of cognitive function on depression through the dual parameters of DIUA and IC was also statistically significant (B=.-001, 95% CI [-.002, -.001).
Conclusion: The depression caused by cognitive decline can be reduced by improving older adults’ ability to use digital information and interact with others. Therefore, social interventions to increase the interpersonal contact of older adults is required, and education programs for improving older adults’ ability to utilize digital information may be developed to increase indirect contact using digital devices as well as direct contact.
2. Ministry of Health and Welfare (2020). The Korean elderly survey [Internet]. Sejong: Ministry of Health and Welfare; 2021 Jul 16. https://www.narastat.kr/metasvc/index.do?confmNo=117 071&inputYear=2020
3. Park JH, Kim KW (2011). A review of the epidemiology of depression in Korea. Journal of Korean Medical Association, 54 (4): 362-9.
4. Lee SE (2013). Buffering effects of physical activity and social relations in relation-ship between cognitive function and depression among older adults. Journal of Community Welfare, 46: 49-78.
5. World Health Organization (2019). Mental health of older adults. Available at World Health Organization (2019). Men-tal health of older adults. Available at https://www.who.int/news-room/fact-sheets/detail/mental-health-ofolder-adults [accessed on August 14, 2019].
6. Lee HJ, Kahng SK (2011). The reciprocal relationship between cognitive function-ing and depressive symptom: group comparison by gender. Korean Journal of Social Welfare Studies, 42 (2): 179-203.
7. Sohn K, Kim K (2021). Effects of depres-sion on cognitive function of the elderly: focusing on the mediating effects of health status and the moderating effects of economic activities. The Journal of the Korea Contents Association, 21 (2): 686–98.
8. Rubin R (2018). Exploring the relationship between depression and dementia. JA-MA, 320 (10): 961-962.
9. Lee J, Tak SH (2020). The effects of digital literacy and the frequency of contact with children or grandchildren via ICT on the cognitive function of the elderly. Korea Gerontol Soc, 40: 413-28.
10. Oh IG, Oh YS, Kim MI (2009). Effect of social networks on the depression of el-derly females in Korea: analysis of the intermediating effect of health promot-ing behavior. Korean Journal of Family Wel-fare, 14 (1): 113-36.
11. Rawtaer I, Abdul Jabbar K, Liu X, et al. (2021). Performance‐based IADL evalua-tion of older adults with cognitive im-pairment within a smart home: A feasi-bility study. Alzheimers Dement (N Y), 7 (1): e12152.
12. Hur JS (2004). Life satisfaction of commu-nity resident elderly persons. Journal of Welfare for the Aged, 24 (2): 127-51.
13. Koh H (2017). A Study on the digital divide and life satisfaction: Focusing on gener-ation, SES, and an urban-rural compari-son. The Journal of the Korea Contents Associ-ation, 17 (5): 633-41.
14. Bodie GD, Dutta MJ (2008). Understanding health literacy for strategic health mar-keting: eHealth literacy, health dispari-ties, and the digital divide. Health Mark Q, 25 (1-2): 175-203.
15. Sourbati M (2009). ‘It could be useful, but not for me at the moment’: older people, internet access and e-public service pro-vision. New Media & Society, 11 (7): 1083-100.
16. Nimrod G (2011). The fun culture in sen-iors’ online communities. Gerontologist, 51 (2): 226-237.
17. McCully SN, Don BP, Updegraff JA (2013). Using the Internet to help with diet, weight, and physical activity: results from the Health Information National Trends Survey (HINTS). J Med Internet Res, 15 (8): e148.
18. Hwang SH (2017). The effects of use of smartphone and cognitive function on depression, and loneliness of life in el-der. Journal of the Society of Occupational Therapy for the Aged and Dementia,11 (1): 9-19.
19. Chopik WJ (2016). The benefits of social technology use among older adults are mediated by reduced loneliness. Cy-berpsychol Behav Soc Netw, 19 (9): 551-6.
20. Folstein MF, Folstein SE, McHugh PR (1975). Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res, 12 (3): 189-198.
21. Kim TH, Jhoo JH, Park JH, Kim JL, Ryu SH, Moon SW, et al. (2010). Korean version of mini mental status examination for dementia screening and its' short form. Psychiatry Investig, 7 (2): 102-8.
22. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al. (1982). Devel-opment and validation of a geriatric depression screening scale: a prelimi-nary report. J Psychiatr Res, 17 (1): 37-49.
23. Kee BS (1996). Preliminary study for the standardization of geriatric depression scale short form-korean version. Journal of Korean Neuropsychiatric Association, 35 (2) :298-307.
24. Koo BM, Joo IH (2020). The effect of health related characteristics on the use of information and communication technology of older adults. Journal of the Korean Gerontological Society, 40 (4): 729-46.
25. Jung CW, Choi HJ (2021). Senior’ Use of Text Messages and SNS and Contact with Informal Social Network Members. Journal of Digital Convergence, 19 (3): 401-14.
26. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. New York, NY: The Guil-ford Press; 2013. 692 p.
27. SethiV, Verma V, Singh U (2013). Impact of ageing on depression and activities of daily livings in normal elderly subjects living in old age homes and communi-ties of Kanpur, UP. Int J Med Res Health Sci, 2 (2): 243-9.
28. Choi HI, Song I (2020). The mediating ef-fect of self-efficacy between the elder-ly’s digital information literacy and life satisfaction. Journal of the Korea Academia-Industrial cooperation Society, 21 (6): 246-55.
29. Seo K, Song Y (2016). Influence of cogni-tive function and depressive symptoms on instrumental activities of daily living in community-dwelling older adults. Ko-rean J Rehabil Nurs, 19 (2): 71-81.
30. Yim JH, Lee HJ, Lee JH (2020). A Study on Digital Divide Influence Factors of the Elderly: Comparison between Baby Boomer and Elderly. The Journal of the Ko-rea Contents Association, 20 (9): 475-85.
31. Goong HW, Lim M, Seo K (2022). Dual mediating effect of electronic device utilization and life satisfaction on the relationship between instrumental activi-ties of daily living and depression in older adults. Int J Environ Res Public Health, 19 (17): 10617.
| Files | ||
| Issue | Vol 53 No 3 (2024) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v53i3.15138 | |
| Keywords | ||
| Aged Cognition Depression Mobile applications Interpersonal relations | ||
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