Emerging socioeconomic correlates of loneliness. Evidence from the Barcelona Health Survey 2021

孤独感的新兴社会经济相关因素:来自2021年巴塞罗那健康调查的证据

阅读:1

Abstract

PURPOSE: Recent evidence shows that loneliness is associated with socioeconomic factors. However, studies often focus on traditional socioeconomic indicators (income, occupation, educational level) only, disregarding other important socioeconomic determinants, such as job insecurity, housing conditions or material deprivation. Therefore, we analyse the association of a broad range of socioeconomic indicators with loneliness. Moreover, we investigate potential age and gender differences in this relationship. METHODS: We used cross-sectional data from the Barcelona Health Survey 2021, representative of the population of Barcelona (Spain). Individuals over the age of 14 were selected (n = 3,337). The outcome was a loneliness score based on 4 items of the UCLA scale. Loneliness was regressed on a series of sociodemographic and emerging socioeconomic correlates. Linear regression models were fitted, and potential age and gender moderation effects were tested by means of two-way interactions. RESULTS: Job insecurity and precarity-related factors, such as having a temporary job or working without a contract, material deprivation and financial difficulties, as well as poor housing conditions and facing housing insecurity were associated with increased loneliness levels. While the association between loneliness and precarity-related factors is stronger among younger individuals, material deprivation is associated with increased loneliness among older workers and women. CONCLUSION: Beyond sociodemographic individual characteristics, socioeconomic factors are strongly associated with loneliness levels in the population. Findings support the relevance of broadening the scope of socioeconomic indicators, assessing both material conditions as well as perceived insecurity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。