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Individuals fearing positivity do not perceive positive affect treatments as strong fits: A novel experimental finding and replication.害怕积极情绪的个体并不认为积极情绪治疗是非常合适的:一项新的实验发现及重复验证。
J Behav Ther Exp Psychiatry. 2023 Jun;79:101830. doi: 10.1016/j.jbtep.2022.101830. Epub 2022 Dec 11.
2
Fear of happiness through the prism of the dual continua model of mental health.通过心理健康双重连续体模型看幸福恐惧。
J Clin Psychol. 2021 Oct;77(10):2245-2261. doi: 10.1002/jclp.23165. Epub 2021 May 24.
3
Examining rumination, devaluation of positivity, and depressive symptoms via community-based network analysis.通过基于社区的网络分析来研究沉思、对积极情绪的贬低以及抑郁症状。
J Clin Psychol. 2021 Oct;77(10):2228-2244. doi: 10.1002/jclp.23158. Epub 2021 May 7.
4
Negative affect interference and fear of happiness are independently associated with depressive symptoms.消极情绪干扰和对幸福的恐惧与抑郁症状独立相关。
J Clin Psychol. 2021 Mar;77(3):646-660. doi: 10.1002/jclp.23066. Epub 2020 Oct 20.
5
Bringing light into darkness: A multiple baseline mixed methods case series evaluation of Augmented Depression Therapy (ADepT).将光明带入黑暗:增强型抑郁治疗(ADepT)的多基线混合方法病例系列评估。
Behav Res Ther. 2019 Sep;120:103418. doi: 10.1016/j.brat.2019.103418. Epub 2019 Jun 27.
6
Conceptualizing anhedonias and implications for depression treatments.快感缺失的概念化及其对抑郁症治疗的影响。
Psychol Res Behav Manag. 2019 May 13;12:325-335. doi: 10.2147/PRBM.S159260. eCollection 2019.
7
Bridge Centrality: A Network Approach to Understanding Comorbidity.桥中心度:一种理解共病的网络方法。
Multivariate Behav Res. 2021 Mar-Apr;56(2):353-367. doi: 10.1080/00273171.2019.1614898. Epub 2019 Jun 10.
8
Positive affect treatment for depression and anxiety: A randomized clinical trial for a core feature of anhedonia.积极情绪治疗抑郁和焦虑:一种针对快感缺失核心特征的随机临床试验。
J Consult Clin Psychol. 2019 May;87(5):457-471. doi: 10.1037/ccp0000396.
9
Reexamining trait rumination as a system of repetitive negative thoughts: A network analysis.重新审视特质性沉思作为一种重复消极思维系统:网络分析。
J Behav Ther Exp Psychiatry. 2019 Jun;63:21-27. doi: 10.1016/j.jbtep.2018.12.005. Epub 2018 Dec 19.
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A tutorial on regularized partial correlation networks.正则化偏相关网络教程。
Psychol Methods. 2018 Dec;23(4):617-634. doi: 10.1037/met0000167. Epub 2018 Mar 29.

回避、抑制和贬低积极性的网络分析研究。

A network analytic investigation of avoidance, dampening, and devaluation of positivity.

机构信息

Department of Psychology, Mississippi State University, Mississippi State, MS, USA.

Department of Psychology, Mississippi State University, Mississippi State, MS, USA; Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA; Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.

出版信息

J Behav Ther Exp Psychiatry. 2023 Dec;81:101870. doi: 10.1016/j.jbtep.2023.101870. Epub 2023 May 6.

DOI:10.1016/j.jbtep.2023.101870
PMID:37201468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10524699/
Abstract

BACKGROUND AND OBJECTIVES

Reward Devaluation Theory suggests that devaluation of positivity may be integral in understanding depression (Winer & Salem, 2016). Specifically, the anticipatory (e.g., fear of happiness) and responsive (e.g., dampening) behaviors related to the processing of positivity may play a role in the development and maintenance of depression.

METHODS

The goal of this study was to examine the potential overlap between measures that operationalize positivity avoidance, two Fear of Happiness Scales (Gilbert et al., 2012; Joshanloo, 2013), as well as positivity dampening, measured via the dampening subscale of the Responses to Positive Affect Questionnaire (Feldman et al., 2008). Network and community analyses were employed to examine the extent to which the items of these measures clustered into their parent measures and investigate the dynamic interactions between items.

RESULTS

The results of the community analysis revealed that the three self-report measures overall clustered into their parent measures, except for the Gilbert et al. (2012) Fear of Happiness Scale, which clustered into two separate communities. The most influential nodes represented the concept that good feelings are often followed by negative outcomes. Additionally, nodes related to the theme of fear of letting oneself become happy emerged as the strongest bridge nodes.

LIMITATIONS

One limitation of this study is the use of a cross-sectional design; thus, causality cannot be inferred, but the results can guide future longitudinal network designs.

CONCLUSIONS

These findings demonstrate how anticipatory avoidance and responsive dampening may influence depression, thus providing evidence for unique targets for treatment.

摘要

背景与目的

奖励贬值理论表明,积极情绪的贬值可能是理解抑郁症的关键(Winer 和 Salem,2016)。具体来说,与积极情绪处理相关的预期(例如,对幸福的恐惧)和反应(例如,抑制)行为可能在抑郁症的发展和维持中发挥作用。

方法

本研究的目的是检验阳性回避、两种幸福感恐惧量表(Gilbert 等人,2012 年;Joshanloo,2013 年)以及通过积极情绪反应问卷的抑制子量表测量的阳性抑制之间潜在的重叠(Feldman 等人,2008 年)。网络和社区分析用于检查这些措施的项目在多大程度上聚类到其母措施中,并调查项目之间的动态相互作用。

结果

社区分析的结果表明,除了 Gilbert 等人(2012 年)的幸福感恐惧量表外,这三个自我报告的量表总体上聚类到其母量表中,该量表聚类成两个独立的社区。最有影响力的节点代表了这样一种概念,即好的感觉往往会随之而来负面结果。此外,与害怕让自己变得快乐的主题相关的节点作为最强的桥节点出现。

局限性

本研究的一个局限性是使用横截面设计;因此,不能推断因果关系,但结果可以指导未来的纵向网络设计。

结论

这些发现表明预期回避和反应抑制如何影响抑郁症,从而为治疗的独特目标提供了证据。