中国安徽老年人残疾心理弹性轨迹的纵向研究

IF 1.8 3区 社会学 Q2 GERONTOLOGY
Yun Qiu, Jingyu Bi, Shuzhuo Li, Zhen Cong
{"title":"中国安徽老年人残疾心理弹性轨迹的纵向研究","authors":"Yun Qiu, Jingyu Bi, Shuzhuo Li, Zhen Cong","doi":"10.1177/01640275251339996","DOIUrl":null,"url":null,"abstract":"<p><p>This study applied Richardson's Resiliency Model to measure resilience in depressive symptoms among older adults with disabilities in rural China and examined its association with age-related and cohort-specific temporal effects using the Growth Curve Model to analyze resilience trajectories. We innovatively used propensity score matching to address confounding variables when calculating the resilience score. Data were derived from the Longitudinal Study of Older Adults in Anhui Province, China, with 3,672 observations from 2001 to 2021. The results revealed that 28.30 percent of rural older adults demonstrated resilience by maintaining or improving depressive symptoms post-disability onset. Resilience scores exhibited inverted U-shaped trajectories with increasing age. Similarly, resilience trajectories followed an inverted U-shape from the earlier cohort (born in 1924 or earlier) to the later cohort (born in 1950 or later). These insights into resilience trajectories can inform targeted policies and interventions, crucial as populations age and the prevalence of disability increases.</p>","PeriodicalId":47983,"journal":{"name":"Research on Aging","volume":" ","pages":"1640275251339996"},"PeriodicalIF":1.8000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilience Trajectories Among Older Adults With Disabilities: A Longitudinal Study in Anhui, China.\",\"authors\":\"Yun Qiu, Jingyu Bi, Shuzhuo Li, Zhen Cong\",\"doi\":\"10.1177/01640275251339996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study applied Richardson's Resiliency Model to measure resilience in depressive symptoms among older adults with disabilities in rural China and examined its association with age-related and cohort-specific temporal effects using the Growth Curve Model to analyze resilience trajectories. We innovatively used propensity score matching to address confounding variables when calculating the resilience score. Data were derived from the Longitudinal Study of Older Adults in Anhui Province, China, with 3,672 observations from 2001 to 2021. The results revealed that 28.30 percent of rural older adults demonstrated resilience by maintaining or improving depressive symptoms post-disability onset. Resilience scores exhibited inverted U-shaped trajectories with increasing age. Similarly, resilience trajectories followed an inverted U-shape from the earlier cohort (born in 1924 or earlier) to the later cohort (born in 1950 or later). These insights into resilience trajectories can inform targeted policies and interventions, crucial as populations age and the prevalence of disability increases.</p>\",\"PeriodicalId\":47983,\"journal\":{\"name\":\"Research on Aging\",\"volume\":\" \",\"pages\":\"1640275251339996\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research on Aging\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/01640275251339996\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research on Aging","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/01640275251339996","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERONTOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本研究应用理查德森弹性模型测量中国农村残疾老年人抑郁症状的弹性,并使用生长曲线模型分析弹性轨迹,检验其与年龄相关和队列特定时间效应的关系。在计算弹性分数时,我们创新地使用倾向分数匹配来解决混淆变量。数据来自中国安徽省老年人纵向研究,从2001年到2021年进行了3,672次观察。结果显示,28.30%的农村老年人通过维持或改善残疾后的抑郁症状表现出适应力。弹性得分随年龄增长呈现倒u型轨迹。同样,从较早的人群(生于1924年或更早)到较晚的人群(生于1950年或更晚),恢复力的轨迹也呈倒u形。这些对复原力轨迹的洞察可以为有针对性的政策和干预提供信息,随着人口老龄化和残疾患病率的增加,这一点至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilience Trajectories Among Older Adults With Disabilities: A Longitudinal Study in Anhui, China.

This study applied Richardson's Resiliency Model to measure resilience in depressive symptoms among older adults with disabilities in rural China and examined its association with age-related and cohort-specific temporal effects using the Growth Curve Model to analyze resilience trajectories. We innovatively used propensity score matching to address confounding variables when calculating the resilience score. Data were derived from the Longitudinal Study of Older Adults in Anhui Province, China, with 3,672 observations from 2001 to 2021. The results revealed that 28.30 percent of rural older adults demonstrated resilience by maintaining or improving depressive symptoms post-disability onset. Resilience scores exhibited inverted U-shaped trajectories with increasing age. Similarly, resilience trajectories followed an inverted U-shape from the earlier cohort (born in 1924 or earlier) to the later cohort (born in 1950 or later). These insights into resilience trajectories can inform targeted policies and interventions, crucial as populations age and the prevalence of disability increases.

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
Research on Aging
Research on Aging GERONTOLOGY-
CiteScore
4.50
自引率
0.00%
发文量
59
期刊介绍: Research on Aging is an interdisciplinary journal designed to reflect the expanding role of research in the field of social gerontology. Research on Aging exists to provide for publication of research in the broad range of disciplines concerned with aging. Scholars from the disciplines of sociology, geriatrics, history, psychology, anthropology, public health, economics, political science, criminal justice, and social work are encouraged to contribute articles to the journal. Emphasis will be on materials of broad scope and cross-disciplinary interest. Assessment of the current state of knowledge is as important as provision of an outlet for new knowledge, so critical and review articles are welcomed. Systematic attention to particular topics will also be featured.
×
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:604180095
Book学术官方微信