Suppr超能文献

斯洛文尼亚老年人在新冠疫情期间的社会支持网络。

The social support networks of elderly people in Slovenia during the Covid-19 pandemic.

机构信息

Faculty of Social Sciences, University of Ljubljana, Ljubljana, Slovenia.

National Research University Higher School of Economics, Moscow, Russia.

出版信息

PLoS One. 2021 Mar 3;16(3):e0247993. doi: 10.1371/journal.pone.0247993. eCollection 2021.

Abstract

Population ageing requires society to adjust by ensuring additional types of services and assistance for elderly people. These may be provided by either organized services and sources of informal social support. The latter are especially important since a lack of social support is associated with a lower level of psychological and physical well-being. During the Covid-19 pandemic, social support for the elderly has proven to be even more crucial, also due to physical distancing. Therefore, this study aims to identify and describe the various types of personal social support networks available to the elderly population during the pandemic. To this end, a survey of Slovenians older than 64 years was conducted from April 25 to May 4, 2020 on a probability web-panel-based sample (n = 605). The ego networks were clustered by a hierarchical clustering approach for symbolic data. Clustering was performed for different types of social support (socializing, instrumental support, emotional support) and different characteristics of the social support networks (i.e., type of relationship, number of contacts, geographical distance). The results show that most of the elderly population in Slovenia has a satisfactory social support network, while the share of those without any (accessible) source of social support is significant. The results are particularly valuable for sustainable care policy planning, crisis intervention planning as well as any future waves of the coronavirus.

摘要

人口老龄化要求社会通过确保为老年人提供额外类型的服务和援助来进行调整。这些可以通过有组织的服务和非正式社会支持来源来提供。后者尤为重要,因为缺乏社会支持与心理和身体健康水平较低有关。在新冠疫情期间,由于保持社交距离,老年人的社会支持显得更加重要。因此,本研究旨在确定和描述疫情期间老年人可用的各种个人社会支持网络类型。为此,我们于 2020 年 4 月 25 日至 5 月 4 日对 64 岁以上的斯洛文尼亚人进行了一次基于概率网络面板的调查(n = 605)。通过符号数据的层次聚类方法对自我网络进行聚类。聚类针对不同类型的社会支持(社交、工具支持、情感支持)和社会支持网络的不同特征(即关系类型、联系人数量、地理距离)进行。结果表明,斯洛文尼亚的大多数老年人口都拥有令人满意的社会支持网络,而没有任何(可获得的)社会支持来源的人口比例也相当高。研究结果对于可持续护理政策规划、危机干预规划以及未来的冠状病毒浪潮具有特别重要的价值。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验