The impacts of physical health and social networks on depression symptoms of middle and old ages of the Korean urban and rural complexity city...World Congress of Gerontechnology, October 22-26, 2022, Daegu, South Korea.
ISSUE As South Korea is rapidly becoming an aging society, an increasing number of aging people are suffering from social isolation and depression as well as physical health problems. In particular, in the urban-rural complex areas where the young population is rapidly declining and the elderly one...
| Publicado en: | Gerontechnology Vol. 21; pp. 1 - 2 |
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| Autores principales: | , , , , , , , , , |
| Formato: | abstract proceedings Journal Article |
| Publicado: |
International Society for Gerontechnology
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161396200&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161396200 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15691101 904R jtl: Gerontechnology issn: 15691101 maglogo: N pubinfo: dt: Oct2022 vid: 21 pid: 54298 pub: International Society for Gerontechnology artinfo: ui: 161396200 161396200 161396200 161396200 ppf: 1 ppct: 1 formats: tig: atl: The impacts of physical health and social networks on depression symptoms of middle and old ages of the Korean urban and rural complexity city...World Congress of Gerontechnology, October 22-26, 2022, Daegu, South Korea. aug: au: Moo-Kwon, C. Taeksoo, S. Ji Young, P. Min-Huk, K. Kyoung-Joung, L. Jin-Kyung, L. Sangwon, H. Jinhee, L. Hyo-Sang, L. Urtnasan, E. sug: subj: Depression Symptoms Health Status Evaluation Social Networks Evaluation Urban Areas Rural Areas Congresses and Conferences South Korea South Korea Aged Aged: 65+ years ab: ISSUE As South Korea is rapidly becoming an aging society, an increasing number of aging people are suffering from social isolation and depression as well as physical health problems. In particular, in the urban-rural complex areas where the young population is rapidly declining and the elderly one is increasing, deepening depression and the increasing suicide rate among the elderly along with the care problems for the elderly are becoming more significant social problems in South Korea. In this context, this study aims at developing a predictive model by using the physical, mental and psychological, and social network data collected with ICT devices (smart watches and phones) from the elderly people living in the urban-rural complex area and a preventive social prescription system that can be utilized in the community level. CONTENT The study presented in this symposia is a preliminary result of investigating the impacts of physical health and social networks on depression symptoms based on the first baseline survey data collection. It collected survey data (N = 685 participants) from middle and old ages residing in Wonju city as one of the Korean urban-rural complex cities and then examined the direct and indirect impacts of their physical health and social networks on their depression symptoms. STRUCTURE This study assumes a sequence of relationships in which physical environment and social networks as antecedent variables affect mediating variables such as perceived loneliness, perceived social support, stress, and anxiety disorder, which then affect depression in middle and old ages (53 ~ 88 years old) in Korean urban and rural complexity city as a dependent variable. CONCLUSION This study used a survey method for investigating these effects using partial least squares structural equation modeling (PLS-SEM). The empirical results of this study show that physical health and social networks have a significant impact on depression symptoms in the middle and old ages through mediating effects of perceived loneliness, perceived social support, stress, and anxiety disorder. It means that physical activity and social networks can be beneficial in preventing depression symptoms in the middle and old ages by increasing social support and decreasing loneliness, stress, and anxiety disorder. From the gerontechnology perspective, this study is expected to contribute to developing prediction algorithms, ICT devices and platforms by which depressed old aged people can be early detected and prevented from deepening depressions. pubtype: Academic Journal doctype: abstract proceedings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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