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Social network types among older Korean adults: Associations with subjective health

DC Field Value Language
dc.contributor.author김세주-
dc.contributor.author김현창-
dc.contributor.author손성연-
dc.contributor.author이은-
dc.date.accessioned2017-11-02T08:10:45Z-
dc.date.available2017-11-02T08:10:45Z-
dc.date.issued2017-
dc.identifier.issn0277-9536-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/154168-
dc.description.abstractWith population aging now a global phenomenon, the health of older adults is becoming an increasingly important issue. Because the Korean population is aging at an unprecedented rate, preparing for public health problems associated with old age is particularly salient in this country. As the physical and mental health of older adults is related to their social relationships, investigating the social networks of older adults and their relationship to health status is important for establishing public health policies. The aims of this study were to identify social network types among older adults in South Korea and to examine the relationship of these social network types with self-rated health and depression. Data from the Korean Social Life, Health, and Aging Project were analyzed. Model-based clustering using finite normal mixture modeling was conducted to identify the social network types based on ten criterion variables of social relationships and activities: marital status, number of children, number of close relatives, number of friends, frequency of attendance at religious services, attendance at organized group meetings, in-degree centrality, out-degree centrality, closeness centrality, and betweenness centrality. Multivariate regression analysis was conducted to examine associations between the identified social network types and self-rated health and depression. The model-based clustering analysis revealed that social networks clustered into five types: diverse, family, congregant, congregant-restricted, and restricted. Diverse or family social network types were significantly associated with more favorable subjective mental health, whereas the restricted network type was significantly associated with poorer ratings of mental and physical health. In addition, our analysis identified unique social network types related to religious activities. In summary, we developed a comprehensive social network typology for older Korean adults.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherPergamon-
dc.relation.isPartOfSOCIAL SCIENCE & MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHAging/psychology*-
dc.subject.MESHBayes Theorem-
dc.subject.MESHCluster Analysis-
dc.subject.MESHFemale-
dc.subject.MESHHealth Status*-
dc.subject.MESHHumans-
dc.subject.MESHInterpersonal Relations-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPublic Health/methods-
dc.subject.MESHRepublic of Korea-
dc.subject.MESHSelf Report-
dc.subject.MESHSocial Support*-
dc.titleSocial network types among older Korean adults: Associations with subjective health-
dc.typeArticle-
dc.publisher.locationEngland-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Psychiatry-
dc.contributor.googleauthorSung Yun Sohn-
dc.contributor.googleauthorWon-tak Joo-
dc.contributor.googleauthorWoo Jung Kim-
dc.contributor.googleauthorSe Joo Kim-
dc.contributor.googleauthorYoosik Youm-
dc.contributor.googleauthorHyeon Chang Kim-
dc.contributor.googleauthorYeong-Ran Park-
dc.contributor.googleauthorEun Lee-
dc.identifier.doi10.1016/j.socscimed.2016.11.042-
dc.contributor.localIdA01142-
dc.contributor.localIdA01976-
dc.contributor.localIdA03032-
dc.contributor.localIdA00604-
dc.relation.journalcodeJ02668-
dc.identifier.eissn1873-5347-
dc.identifier.pmid27936422-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S027795361630661X-
dc.subject.keywordDepression-
dc.subject.keywordKorea-
dc.subject.keywordOlder adults-
dc.subject.keywordSelf-rated health-
dc.subject.keywordSocial network typology-
dc.contributor.alternativeNameKim, Se Joo-
dc.contributor.alternativeNameKim, Hyeon Chang-
dc.contributor.alternativeNameSohn, Sung Yun-
dc.contributor.alternativeNameLee, Eun-
dc.contributor.affiliatedAuthorKim, Hyeon Chang-
dc.contributor.affiliatedAuthorSohn, Sung Yun-
dc.contributor.affiliatedAuthorLee, Eun-
dc.contributor.affiliatedAuthorKim, Se Joo-
dc.citation.titleSocial Science & Medicine-
dc.citation.volume173-
dc.citation.startPage88-
dc.citation.endPage95-
dc.identifier.bibliographicCitationSOCIAL SCIENCE & MEDICINE, Vol.173 : 88-95, 2017-
dc.date.modified2017-11-01-
dc.identifier.rimsid42132-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers

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