Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village
Background: Since the mid-20th century, the ways in which social networks and older adults’ health are related have been widely studied. However, few studies investigate the relationship between self-rated health and position in a complete social network of one entire Korean rural village. This stud...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Korea Geriatrics Society
2016-09-01
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| Series: | Annals of Geriatric Medicine and Research |
| Subjects: | |
| Online Access: | http://www.e-agmr.org/journal/view.html?doi=10.4235/agmr.2016.20.3.149 |
| _version_ | 1818158210759000064 |
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| author | Yoosik Youm Kiho Sung |
| author_facet | Yoosik Youm Kiho Sung |
| author_sort | Yoosik Youm |
| collection | DOAJ |
| description | Background: Since the mid-20th century, the ways in which social networks and older adults’ health are related have been widely studied. However, few studies investigate the relationship between self-rated health and position in a complete social network of one entire Korean rural village. This study highlights use of a complete network in health studies. Methods: Using the Korean Social Life and Health Project, the population-based data of adults aged 60 or older and their spouses in one myeon in Ganghwa island (Ganghwa-gun, Incheon, Korea), Incheon, Korea (with a 95% response rate), this study built a 1,012×1,012 complete social network matrix of the village. The data were collected from 2011 to 2012, and 731 older adults were analyzed. The ordered logistic models to predict self-rated health allowed us to examine social factors from socio-demographic to individual community activities, ego-centered network characteristics, and positions in a complete network. Results: From the network data, 5 network components were identified. Even after controlling for all other factors, if a respondent belonged to a segregated component, the probability that he or she reported good health dropped substantially. Additionally, high in-degree centrality was connected to greater self-rated health. Conclusion: This finding highlights the importance of social position not only from the respondents’ point of view but also from the entire village’s perspective. Even if a respondent maintained a large social network, when all of those social ties belonged to a segregated group in the village, the respondent’s health suffered from this segregation. |
| first_indexed | 2024-12-11T15:26:28Z |
| format | Article |
| id | doaj.art-18ae1a5a382a43e7bc3d53316f4393f1 |
| institution | Directory Open Access Journal |
| issn | 2508-4798 |
| language | English |
| last_indexed | 2024-12-11T15:26:28Z |
| publishDate | 2016-09-01 |
| publisher | Korea Geriatrics Society |
| record_format | Article |
| series | Annals of Geriatric Medicine and Research |
| spelling | doaj.art-18ae1a5a382a43e7bc3d53316f4393f12022-12-22T01:00:11ZengKorea Geriatrics SocietyAnnals of Geriatric Medicine and Research2508-47982016-09-0120314915910.4235/agmr.2016.20.3.149agmr.2016.20.3.149Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural VillageYoosik Youm0Kiho Sung1Department of Sociology, Yonsei University, Seoul, KoreaDepartment of Sociology, Yonsei University, Seoul, KoreaBackground: Since the mid-20th century, the ways in which social networks and older adults’ health are related have been widely studied. However, few studies investigate the relationship between self-rated health and position in a complete social network of one entire Korean rural village. This study highlights use of a complete network in health studies. Methods: Using the Korean Social Life and Health Project, the population-based data of adults aged 60 or older and their spouses in one myeon in Ganghwa island (Ganghwa-gun, Incheon, Korea), Incheon, Korea (with a 95% response rate), this study built a 1,012×1,012 complete social network matrix of the village. The data were collected from 2011 to 2012, and 731 older adults were analyzed. The ordered logistic models to predict self-rated health allowed us to examine social factors from socio-demographic to individual community activities, ego-centered network characteristics, and positions in a complete network. Results: From the network data, 5 network components were identified. Even after controlling for all other factors, if a respondent belonged to a segregated component, the probability that he or she reported good health dropped substantially. Additionally, high in-degree centrality was connected to greater self-rated health. Conclusion: This finding highlights the importance of social position not only from the respondents’ point of view but also from the entire village’s perspective. Even if a respondent maintained a large social network, when all of those social ties belonged to a segregated group in the village, the respondent’s health suffered from this segregation.http://www.e-agmr.org/journal/view.html?doi=10.4235/agmr.2016.20.3.149Social networkSubjective healthComplete network |
| spellingShingle | Yoosik Youm Kiho Sung Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village Annals of Geriatric Medicine and Research Social network Subjective health Complete network |
| title | Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village |
| title_full | Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village |
| title_fullStr | Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village |
| title_full_unstemmed | Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village |
| title_short | Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village |
| title_sort | self rated health and global network position results from the older adult population of a korean rural village |
| topic | Social network Subjective health Complete network |
| url | http://www.e-agmr.org/journal/view.html?doi=10.4235/agmr.2016.20.3.149 |
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