Mangot-Sala Lluís, Bartoll-Roca Xavier, Sánchez-Ledesma Esther, Cortés-Albaladejo Mònica, Liefbroer Aart C, Pérez Katherine
Netherlands Interdisciplinary Demographic Institute (NIDI) - Royal Netherlands Academy of Sciences (KNAW), The Hague, The Netherlands.
Department of Epidemiology, University Medical Center Groningen (UMCG), University of Groningen (RUG), Groningen, The Netherlands.
Soc Psychiatry Psychiatr Epidemiol. 2025 Apr;60(4):917-929. doi: 10.1007/s00127-024-02789-w. Epub 2024 Nov 18.
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.
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.
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.
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.
近期证据表明,孤独感与社会经济因素相关。然而,研究往往仅关注传统社会经济指标(收入、职业、教育水平),而忽视了其他重要的社会经济决定因素,如工作不安全感、住房条件或物质匮乏。因此,我们分析了一系列广泛的社会经济指标与孤独感之间的关联。此外,我们还研究了这种关系中潜在的年龄和性别差异。
我们使用了来自2021年巴塞罗那健康调查的横断面数据,该数据代表了巴塞罗那(西班牙)的人口。选取了14岁以上的个体(n = 3337)。结果是基于加州大学洛杉矶分校量表的4个项目得出的孤独感得分。将孤独感对一系列社会人口学和新出现的社会经济相关因素进行回归分析。拟合线性回归模型,并通过双向交互作用检验潜在的年龄和性别调节效应。
工作不安全感和与不稳定相关的因素,如从事临时工作或无合同工作、物质匮乏和经济困难,以及住房条件差和面临住房不安全等,都与孤独感水平的增加有关。虽然孤独感与不稳定相关因素之间的关联在年轻人中更强,但物质匮乏与老年工人和女性的孤独感增加有关。
除了社会人口学个体特征外,社会经济因素与人群中的孤独感水平密切相关。研究结果支持扩大社会经济指标范围(评估物质条件以及感知到的不安全感)的相关性。