韩国丧偶老年人抑郁类型变化的研究

Sung-Hyae Kim, Kyuhyoung Jeong, Seoyoon Lee
{"title":"韩国丧偶老年人抑郁类型变化的研究","authors":"Sung-Hyae Kim, Kyuhyoung Jeong, Seoyoon Lee","doi":"10.17997/swry.74.1.3","DOIUrl":null,"url":null,"abstract":"This study categorizes the latent class according to the change trajectory of depression types experienced by Korean older adults after the loss of a spouse and examines the determinants that derives each type. Using the Korea Welfare Panel Study (KoWePS), conducted from 2012 to 2021, data from 518 older adults aged 65 and over whose depression can be estimated for at least three years after widowhood were analyzed. A Growth Mixture Model (GMM) was applied to derive the types according to the changing patterns of depression, and a binary logistic regression analysis was performed to identify the factors affecting the derived types. As a result of the analysis, a total of two types were classified according to the change in depression. \nType 1 was found to be a ‘reducing type’ in which the level of depression gradually decreased while maintaining certain level of depression, and for Type 2, an ‘increasing type’ in which the initial level of depression was higher than that of Type 1 and continued to increase thereafter. \nThe older the individual, the more likely he or she is to live in an urban area rather than a suburban area, and if they have disability, the greater the probability that they belong to the 'increasing type' rather than the 'reducing type'. There was no significant relationship between gender, income, or education level and the type. Accordingly, it is necessary to find ways of reducing the likelihood that the depression level of the widowed older adults who fall into the 'increasing type', a risk group.","PeriodicalId":228547,"journal":{"name":"The Center for Social Welfare Research Yonsei University","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on changes in depression types among the widowed older adults in South Korea\",\"authors\":\"Sung-Hyae Kim, Kyuhyoung Jeong, Seoyoon Lee\",\"doi\":\"10.17997/swry.74.1.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study categorizes the latent class according to the change trajectory of depression types experienced by Korean older adults after the loss of a spouse and examines the determinants that derives each type. Using the Korea Welfare Panel Study (KoWePS), conducted from 2012 to 2021, data from 518 older adults aged 65 and over whose depression can be estimated for at least three years after widowhood were analyzed. A Growth Mixture Model (GMM) was applied to derive the types according to the changing patterns of depression, and a binary logistic regression analysis was performed to identify the factors affecting the derived types. As a result of the analysis, a total of two types were classified according to the change in depression. \\nType 1 was found to be a ‘reducing type’ in which the level of depression gradually decreased while maintaining certain level of depression, and for Type 2, an ‘increasing type’ in which the initial level of depression was higher than that of Type 1 and continued to increase thereafter. \\nThe older the individual, the more likely he or she is to live in an urban area rather than a suburban area, and if they have disability, the greater the probability that they belong to the 'increasing type' rather than the 'reducing type'. There was no significant relationship between gender, income, or education level and the type. Accordingly, it is necessary to find ways of reducing the likelihood that the depression level of the widowed older adults who fall into the 'increasing type', a risk group.\",\"PeriodicalId\":228547,\"journal\":{\"name\":\"The Center for Social Welfare Research Yonsei University\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Center for Social Welfare Research Yonsei University\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17997/swry.74.1.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Center for Social Welfare Research Yonsei University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17997/swry.74.1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究根据韩国老年人在失去配偶后经历的抑郁类型的变化轨迹对潜在类别进行了分类,并检查了派生每种类型的决定因素。韩国福利委员会(Korea Welfare Panel Study, KoWePS)从2012年到2021年,对518名65岁以上老人的数据进行了分析,这些老人在丧偶后至少3年可以预测抑郁症。采用生长混合模型(Growth Mixture Model, GMM)根据抑郁的变化规律推导出抑郁类型,并采用二元logistic回归分析确定影响抑郁类型的因素。分析结果表明,根据抑郁的变化,共分为两种类型。1型为“减少型”,在保持一定抑郁水平的同时,抑郁水平逐渐下降;2型为“增加型”,最初的抑郁水平高于1型,此后持续增加。一个人年龄越大,他或她越有可能住在城市而不是郊区,如果他们有残疾,他们属于“增加型”而不是“减少型”的可能性就越大。性别、收入或教育水平与类型之间无显著关系。因此,有必要寻找降低老年丧偶老人抑郁程度的方法,因为他们属于“增加型”,这是一个危险群体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on changes in depression types among the widowed older adults in South Korea
This study categorizes the latent class according to the change trajectory of depression types experienced by Korean older adults after the loss of a spouse and examines the determinants that derives each type. Using the Korea Welfare Panel Study (KoWePS), conducted from 2012 to 2021, data from 518 older adults aged 65 and over whose depression can be estimated for at least three years after widowhood were analyzed. A Growth Mixture Model (GMM) was applied to derive the types according to the changing patterns of depression, and a binary logistic regression analysis was performed to identify the factors affecting the derived types. As a result of the analysis, a total of two types were classified according to the change in depression. Type 1 was found to be a ‘reducing type’ in which the level of depression gradually decreased while maintaining certain level of depression, and for Type 2, an ‘increasing type’ in which the initial level of depression was higher than that of Type 1 and continued to increase thereafter. The older the individual, the more likely he or she is to live in an urban area rather than a suburban area, and if they have disability, the greater the probability that they belong to the 'increasing type' rather than the 'reducing type'. There was no significant relationship between gender, income, or education level and the type. Accordingly, it is necessary to find ways of reducing the likelihood that the depression level of the widowed older adults who fall into the 'increasing type', a risk group.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信