Suppr超能文献

揭示和隐瞒同性恋、双性恋身份的情感前因和后果。

Affective antecedents and consequences of revealing and concealing a lesbian, gay, or bisexual identity.

机构信息

Department of Psychology.

Department of Psychology, George Mason University.

出版信息

J Appl Psychol. 2019 Oct;104(10):1266-1282. doi: 10.1037/apl0000399. Epub 2019 Apr 15.

Abstract

This study examined affect as it relates to the identity management (IM) experiences of lesbian, gay, and bisexual (LGB) workers. We integrate IM theories and evidence (Chaudoir & Fisher, 2010; Pachankis, 2007) within the framework of affective events theory (Weiss & Cropanzano, 1996) to predict relationships among mood, identity management, and emotion at work. LGB participants rated aspects of positive and negative affect each work morning and immediately following IM situations at work over 3 weeks, making it possible to examine within-person changes and next-day consequences of IM. Our results provided little support for the notion that LGB workers' IM behaviors are driven by affect. However, there do appear to be affective consequences of IM behaviors. After concealment, participants experienced diminished positive affect and increased negative affect; in contrast, revealing was associated with increased positive affect and diminished negative affect. Additionally, these immediate affective consequences of identity management continued into the following day for some facets of affect. We examine these findings as they relate to the identity management and affect literatures, thereby building new insights into their intersections. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

摘要

本研究考察了情感与女同性恋、男同性恋和双性恋(LGB)工作者的身份管理(IM)体验之间的关系。我们将 IM 理论和证据(Chaudoir & Fisher,2010;Pachankis,2007)整合到情感事件理论(Weiss & Cropanzano,1996)的框架内,以预测情绪、身份管理和工作中的情绪之间的关系。LGB 参与者在 3 周内每天早上和工作中的 IM 情况后立即对积极和消极情绪的各个方面进行评分,从而可以检查 IM 对个体的影响和第二天的后果。我们的结果几乎没有支持 LGB 工作者的 IM 行为是由情感驱动的观点。然而,IM 行为似乎确实存在情感后果。在隐瞒之后,参与者经历了积极情绪的减少和消极情绪的增加;相比之下,揭示与积极情绪的增加和消极情绪的减少有关。此外,身份管理的这些即时情感后果在某些情感方面持续到第二天。我们根据身份管理和情感文献来研究这些发现,从而为它们的交叉点提供新的见解。(PsycINFO 数据库记录(c)2019 APA,保留所有权利)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验