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以关联为特征:一种调查心理健康相关关联污名的社交网络方法。

Marked by Association(s): A Social Network Approach to Investigating Mental Health-Related Associative Stigma.

作者信息

Felix Elizabeth

机构信息

University of Kansas, Lawrence, KS, USA.

出版信息

J Health Soc Behav. 2025 Jun;66(2):259-275. doi: 10.1177/00221465241261711. Epub 2024 Jul 31.

Abstract

With most scholarly attention directed toward understanding the stigma experiences of individuals with mental illness, less attention has been given to associative stigma: an understudied form of social exclusion and devaluation experienced by the social ties of stigmatized individuals. This study advances scholarly understanding of associative stigma by drawing on social network methods to better illuminate how the quantity and quality of social relationships with those dealing with mental illness impact experiences of perceived discrimination. Using a nationally representative sample from the General Social Survey, I find that (1) knowing more people with mental illness, (2) having more core (friends and family members) versus peripheral ties, and (3) having ties who are most at risk of facing public stigma themselves (e.g., stereotype-confirming ties) are associated with greater perceived discrimination experiences. Taken together, these findings shed light on how pervasive associative stigma truly is.

摘要

由于大多数学术关注都集中在理解患有精神疾病的个体的污名化经历上,对于关联性污名的关注则较少:这是一种未被充分研究的社会排斥和贬低形式,由被污名化个体的社会关系所经历。本研究通过运用社会网络方法,推进了对关联性污名的学术理解,以更好地阐明与患有精神疾病者的社会关系的数量和质量如何影响感知到的歧视经历。使用来自综合社会调查的全国代表性样本,我发现:(1)认识更多患有精神疾病的人;(2)拥有更多核心(朋友和家庭成员)而非边缘关系;(3)拥有自身最有可能面临公众污名的关系(例如,证实刻板印象的关系),这些都与更多的感知到的歧视经历相关。综上所述,这些发现揭示了关联性污名实际上是多么普遍。

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