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对老年人样本中孤独感量表的探索性心理测量网络分析。

An exploratory psychometric network analysis of loneliness scales in a sample of older adults.

作者信息

Thompson Alexandra, Pollet Thomas V

机构信息

Department of Psychology, Northumbria University, Newcastle Upon Tyne, UK.

出版信息

Curr Psychol. 2023 May 13:1-15. doi: 10.1007/s12144-023-04697-9.

Abstract

To examine the relationships within and between commonly used measures of loneliness to determine the suitability of the measures in older adults. Further, to determine whether certain items in these measures are more psychometrically robust in terms of capturing different types of loneliness across this population. Data were obtained from 350 older adults via completion of an online survey. Four measures of loneliness were completed. These were the University of California Los Angeles Loneliness Scale 4 (Version 3), the de Jong Gierveld Loneliness Scale, the Social and Emotional Loneliness Scale for Adults (Short Version) and a direct measure of loneliness. Analysis via a regularized partial correlation network and via clique percolation revealed that only the SELSA-S encompassed loneliness relating to deficits in social, family and romantic relationships. The remaining measures tapped mostly into social loneliness alone. The direct measure of loneliness had the strongest connection to the UCLA item-4 and the de Jong Gierveld item-1 exhibited the strongest bridge centrality, being a member of the most clusters. The results indicate that should researchers be interested in assessing loneliness resulting from specific relationships, then the SELSA-S would be the most suitable measure. Whereas the other measures are suitable for assessing loneliness more generally. The results further suggest that the de Jong Gierveld item-1 may be a more suitable direct measure of loneliness than that currently employed as it taps into a greater number of relationships.

摘要

为了研究常用孤独感测量方法内部以及之间的关系,以确定这些测量方法在老年人中的适用性。此外,确定这些测量方法中的某些项目在捕捉该人群中不同类型的孤独感方面是否在心理测量上更稳健。通过完成在线调查从350名老年人那里获取数据。完成了四项孤独感测量。这些测量分别是加利福尼亚大学洛杉矶分校孤独感量表4(第3版)、德容·吉尔维尔德孤独感量表、成人社交与情感孤独感量表(简版)以及一项孤独感直接测量。通过正则化偏相关网络和团渗流分析表明,只有成人社交与情感孤独感量表(简版)涵盖了与社交、家庭和浪漫关系缺陷相关的孤独感。其余测量主要只涉及社交孤独感。孤独感直接测量与加利福尼亚大学洛杉矶分校量表第4项联系最紧密,德容·吉尔维尔德量表第1项表现出最强的桥接中心性,是最多聚类的成员。结果表明,如果研究人员对评估特定关系导致的孤独感感兴趣,那么成人社交与情感孤独感量表(简版)将是最合适的测量方法。而其他测量方法更普遍适用于评估孤独感。结果还表明,德容·吉尔维尔德量表第1项可能是比目前使用的方法更合适的孤独感直接测量方法,因为它涉及更多的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114c/10182353/4b156fc5b58e/12144_2023_4697_Fig1_HTML.jpg

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