Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Avda. Ana de Viya, 52, 11009, Cádiz, Spain.
NIHR CLAHRC North Thames, Department of Applied Health Research, University College London, 1-19 Torrington Place, London, London, WC1E 7HB, UK.
BMC Public Health. 2019 Apr 25;19(1):435. doi: 10.1186/s12889-019-6714-4.
The study of the health effects of perceived discrimination based on ethnic and social traits has a long-standing and widespread tradition in epidemiological research, but less attention has been paid to the study of multiple discrimination, particularly its effects on mental health. The present work aims to analyse the association between multiple discrimination and depressive symptoms in Europe, and the impact of contextual socioeconomic circumstances on this relationship.
In this study, data from the 7th Round of the European Social Survey was used. Given that the outcome variable, CES-D8, is a depression scale from 0 to 24 possible values and the hierarchical organisation of individuals (level-1 units) clustered within countries (level-2 units), a linear multilevel model was carried out.
Our findings suggest that multiple discrimination increases our risk of suffering depressive disorder, but in addition this work provides an important step forward to explain and understand how the relationship between multiple discrimination and depression might vary depending the socioeconomic context. In particular, we can observe that differences in the prevalence of depressive symptoms along multiple discrimination levels decrease as GDP per capita increases among European countries.
This study is relevant since provides new evidence on how the association between multiple discrimination and depression operates at the micro and macro-level context, which is fundamental to understand how macro-economic fluctuations of countries may determine depressive disorders through the effect of single and combined forms of discrimination.
基于种族和社会特征感知歧视对健康影响的研究在流行病学研究中有着悠久而广泛的传统,但对多重歧视的研究关注较少,特别是其对心理健康的影响。本研究旨在分析欧洲多重歧视与抑郁症状之间的关联,以及社会经济环境对这种关系的影响。
本研究使用了第七轮欧洲社会调查的数据。由于因变量 CES-D8 是一个 0 到 24 分的抑郁量表,个体(一级单位)在国家(二级单位)内聚类,因此进行了线性多层模型分析。
我们的研究结果表明,多重歧视增加了我们患抑郁障碍的风险,但除此之外,这项工作还为解释和理解多重歧视与抑郁之间的关系如何因社会经济背景而异提供了重要的一步。特别是,我们可以观察到,随着欧洲国家人均 GDP 的增加,多重歧视水平下抑郁症状的流行率差异减小。
这项研究具有重要意义,因为它提供了新的证据,说明多重歧视与抑郁之间的关联在微观和宏观层面上是如何运作的,这对于理解国家的宏观经济波动如何通过单一和组合形式的歧视的影响来决定抑郁障碍至关重要。