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PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS. pISSN: 2210-9099. eISSN: 2233-6052

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"Nan-He Yoon"

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"Nan-He Yoon"

Original Articles
The impact of digital literacy on older adults’ self-rated health, depression, and life satisfaction: a cross-sectional study using 2023 National Survey of Older Koreans
Objectives
This study examined the associations between digital literacy and self-rated health (SRH), depression, and life satisfaction among older adults in the Republic of Korea.
Methods
Data were obtained from the 2023 National Survey of Older Koreans (n=9,951). Digital literacy was evaluated based on participants’ ability to use 8 smartphone functions and their perceived difficulty adapting to a digital society. Dependent variables included SRH, depression (measured using the short form of Geriatric Depression Scale), and life satisfaction (assessed through a composite score across 7 domains). Multiple logistic regression was applied for SRH and depression, while linear regression was conducted for life satisfaction, adjusting for sociodemographic and health-related covariates.
Results
Higher digital literacy was significantly associated with better SRH and greater life satisfaction. Compared to participants with no digital skills, those with moderate or high digital literacy had higher odds of reporting good SRH and significantly higher life satisfaction scores. Older adults who reported difficulty adapting to a digital society demonstrated significantly lower SRH and life satisfaction. However, after adjusting for covariates, the association between digital literacy and depression was not statistically significant.
Conclusion
Higher digital literacy is linked to better SRH and greater life satisfaction. Moreover, digital literacy reduced the explanatory power of socioeconomic variables, suggesting that it serves as an important behavioral determinant. These findings underscore the importance of promoting digital literacy as a means of improving health equity and well-being in aging populations.

Citations

Citations to this article as recorded by  Crossref logo
  • The Effect of Digital Literacy on Depression Among Older Adults With Chronic Diseases: The Moderating Role of Self-Rated Health
    Hyein Seo, Subin Yu
    The International Journal of Aging and Human Devel.2026; 103(4): 480.     CrossRef
  • Digital device use and disparities in health literacy among older adults
    Heeran Chun, Cheong-Seok Kim, Il-Ho Kim
    Korean Journal of Health Education and Promotion.2026; 43(2): 87.     CrossRef
  • Impact of an Interaction-Oriented, Information and Communication Technology-Based Community Care Service on Nutritional Status and Dietary Behavior of Community-Dwelling Older Adults: A Quasi-Experimental Study
    Seojin Yun, Seulgi Lee, Eun Young Lee, Kirang Kim
    Preventive Nutrition and Food Science.2026;[Epub]     CrossRef
  • Predicting longitudinal depressive symptom trajectories among older Chinese adults with chronic health conditions: An interpretable machine learning study
    Zhan Yu, Anao Zhang, Kaipeng Wang, Qiuling An, Meiyan Chen, Yuting Wang, Zeqiang Wang
    International Psychogeriatrics.2026; : 100270.     CrossRef
  • Sustaining Social Connection in a Super-Aged Society: Changes in the Association Between Social Ties and Life Satisfaction Among Korean Older Adults, 2011–2023
    Seonmi Choi, Junghyun Kim
    Sustainability.2026; 18(18): 9449.     CrossRef
  • Digital Ageism and Ageism Among Middle-Aged and Older Adults and the Mediating Role of Expectations Regarding Aging: A Cross-Sectional Study
    Gahye Kim, Aeri Jung
    Research in Community and Public Health Nursing.2026; 37: 403.     CrossRef
  • Disaggregating Digital Competence: Social Activity Participation and Depressive Symptoms Among Korean Older Adults
    Young-Mi Jung, NakHyeok Choi
    Behavioral Sciences.2026; 16(10): 1742.     CrossRef
  • The impact of digitalisation on the development of physical activity of older people (through the example of European Union countries)
    Zhaxat Kenzhin, Tursynzada Kuangaliyeva, Assem Aitkaliyeva, Yerbol Myrzabossynov, Aigerim Zhunussova, Odiljon Dadabayev
    Frontiers in Public Health.2026;[Epub]     CrossRef
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Composition of Metabolic Syndrome Among Korean Adults in a Lifestyle Modification Intervention
Nan-He Yoon, Seunghyun Yoo, Hyekyeong Kim
Osong Public Health Res Perspect 2014;5(6):370-377.
Published online December 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.10.005
Objectives
The aim of this study was to examine the composition of metabolic syndrome (MetS) components among middle-aged and older Koreans.
Methods
A total of 263 participants (age 40 + years) in a lifestyle modification intervention program who met the MetS definition of National Cholesterol Education Program (NCEP) – Adult Treatment Panel (ATP) III criteria were included in the study. The frequent patterns and clustering of MetS components were investigated. Clustering of changes in individual components, through a lifestyle modification intervention, was also identified. All characteristics were stratified by and compared between sexes.
Results
Approximately 80% of the participants had three of five MetS risk factors at baseline. The prevalence of each risk differed by sex. MetS composition patterns that do not include low high-density lipoprotein (HDL) cholesterol were more noticeable in men because of the low prevalence of low HDL cholesterol. In women, with higher prevalence of low HDL cholesterol, more patterns that include low HDL cholesterol were observed. The most common combination was “elevated blood pressure + abdominal obesity + impaired fasting glucose” in both sexes. Clustering of MetS risks was also found with most of the frequent combinations of MetS components. Through the lifestyle intervention, the greatest change was observed in HDL cholesterol among men and blood pressure among women. Triglycerides and HDL cholesterol were likely to be improved with blood pressure in men and abdominal obesity in women.
Conclusion
Differences in the prevalent patterns of MetS compositions were observed prior to and after the intervention, along with during-intervention changes. It is recommended that intervention strategies and guidelines for MetS management consider the MetS composition patterns for effectiveness.

Citations

Citations to this article as recorded by  Crossref logo
  • Temporal Sequence of Metabolic Syndrome Components: Abdominal Obesity as the Primary Driver of Progression in a Korean Prospective Cohort Study
    Hoon Seok Kim, Jaeeun Yoo
    Medicina.2025; 61(8): 1498.     CrossRef
  • Development and Evaluation of a Blended Self-Management Program for Metabolic Syndrome in Patients With Rheumatic Diseases
    BoAe Im, HyunSoo Oh, SooHyun Kim, HyeSun Jeong, WhaSook Seo
    Health Education & Behavior.2024; 51(4): 625.     CrossRef
  • Gender Differences of Health Behaviors in the Risk of Metabolic Syndrome for Middle-Aged Adults: A National Cross-Sectional Study in South Korea
    Jaehee Yoon, Jeewuan Kim, Heesook Son
    International Journal of Environmental Research an.2021; 18(7): 3699.     CrossRef
  • Evaluation of the physical activity level, nutrition quality, and depression in patients with metabolic syndrome
    İsmet Kazaz, Ender Angin, Seray Kabaran, Gözde İyigün, Berkiye Kirmizigil, Mehtap Malkoç
    Medicine.2018; 97(18): e0485.     CrossRef
  • Effects of prolonged exercise versus multiple short exercise sessions on risk for metabolic syndrome and the atherogenic index in middle-aged obese women: a randomised controlled trial
    JinWook Chung, KwangJun Kim, Jeeyoung Hong, Hyoun-Joong Kong
    BMC Women's Health.2017;[Epub]     CrossRef
  • Health related behavior patterns and associated factors among marriage immigrant women using latent class analysis
    Wonsup Cho, Seunghyun Yoo, Hyekyeong Kim
    Korean Journal of Health Education and Promotion.2015; 32(5): 17.     CrossRef
  • Depression among Korean Adults with Type 2 Diabetes Mellitus: Ansan-Community-Based Epidemiological Study
    Chan Young Park, So Young Kim, Jong Won Gil, Min Hee Park, Jong-Hyock Park, Yeonjung Kim
    Osong Public Health and Research Perspectives.2015; 6(4): 224.     CrossRef
  • 5,884 View
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