ArticleBMC geriatrics2014
Social network properties and self-rated health in later life: comparisons from the Korean social life, health, and aging project and the national social life, health and aging project.
Article in BMC geriatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 88 citations in OpenAlex.
- Discordance in gender role attitudes between spouses and its relationship with the risk biomarkers of cardiovascular diseases: a couple-level analysis.Scientific reports · 2026Article
- Educational attainment in sociocentric networks associates with cardiac biomarkers in Korean elders.Scientific reports · 2025Article
- Having more friends is associated with greater sensitization to social exclusion: neural and behavioral evidence.Social cognitive and affective neuroscience · 2025Article
- Explainable SHAP-XGBoost models for identifying important social factors associated with the atherosclerotic cardiovascular disease risk score using the LASSO feature selection technique.Epidemiology and health · 2025Article
- Family is all that matters: Prospective associations between structure, function, and quality of social relations and self-rated health in the National Social Life, Health, and Aging Project (NSHAP).SSM - population health · 2024Article
- Association between Loneliness and Memory Function through White Matter Hyperintensities in Older Adults: The Moderating Role of Gender.Behavioral sciences (Basel, Switzerland) · 2023Article
- The Effect of Cognitive Impairment on the Association Between Social Network Properties and Mortality Among Older Korean Adults.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023Article
- Association of group-level segregation with cardiovascular health in older adults: an analysis of data from the Korean Social Life, Health, and Aging Project.Epidemiology and health · 2023Article
- Association Between Social Network and Cognitive Function: A Cross-Sectional Assessment From the Cardiovascular and Metabolic Diseases Etiology Research Center Cohort (2013-2018).Frontiers in psychiatry · 2022Article
- Social Network Characteristics Predict Loneliness in Older Adults.Gerontology · 2022Article
- The Wither or Thrive Model of Resilience: an Integrative Framework of Dynamic Vulnerability and Resilience in the Face of Repeated Stressors During the COVID-19 Pandemic.Adversity and resilience science · 2022Review
- Gender differences in the longitudinal association between husbands' and wives' depressive symptoms among Korean older adults: the moderating effects of the spousal relationship.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- Distributed functional connectivity predicts neuropsychological test performance among older adults.Human brain mapping · 2021Article
- Social connectedness and hair cortisol in community-dwelling older adults.Comprehensive psychoneuroendocrinology · 2021Article
- Social modulation of ageing: mechanisms, ecology, evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- More Teeth and Posterior Balanced Occlusion Are a Key Determinant for Cognitive Function in the Elderly.International journal of environmental research and public health · 2021Article
- Neural and social correlates of attitudinal brokerage: using the complete social networks of two entire villages.Proceedings. Biological sciences · 2021Article
- All-cause mortality and three aspects of social relationships: an eight-year follow-up of older adults from one entire Korean village.Scientific reports · 2021Article
- Gender role stereotypes, patriarchal attitudes, and cognitive function in the elderly rural Korean population: a cross-sectional study.Epidemiology and health · 2021Article
- Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThis paper has two objectives. Firstly, it provides an overview of the social network module, data collection procedures, and measurement of ego-centric and complete-network properties in the Korean Social Life, Health, and Aging Project (KSHAP). Secondly, it directly compares the KSHAP structure and results to the ego-centric network structure and results of the National Social Life, Health, and Aging Project (NSHAP), which conducted in-home interviews with 3,005 persons 57 to 85 years of age in the United States.
methodsThe structure of the complete social network of 814 KSHAP respondents living in Township K was measured and examined at two levels of networks. Ego-centric network properties include network size, composition, volume of contact with network members, density, and bridging potential. Complete-network properties are degree centrality, closeness centrality, betweenness centrality, and brokerage role.
resultsWe found that KSHAP respondents with a smaller number of social network members were more likely to be older and tended to have poorer self-rated health. Compared to the NSHAP, the KSHAP respondents maintained a smaller network size with a greater network density among their members and lower bridging potential. Further analysis of the complete network properties of KSHAP respondents revealed that more brokerage roles inside the same neighborhood (Ri) were significantly associated with better self-rated health. Socially isolated respondents identified by network components had the worst self-rated health.
conclusionsThe findings demonstrate the importance of social network analysis for the study of older adults' health status in Korea. The study also highlights the importance of complete-network data and its ability to reveal mechanisms beyond ego-centric network data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.