Anhedonia and its sub-component processes predict clinically significant symptoms of Major Depressive Disorder (MDD) and loneliness in young people

快感缺失及其子成分过程可以预测年轻人重度抑郁症(MDD)和孤独感的临床显著症状

阅读:2

Abstract

OBJECTIVES: Anhedonia, a core symptom of Major Depressive Disorder (MDD), is a risk factor for future depressive episodes and is associated with social withdrawal, which may contribute to loneliness-another risk factor for depression. Understanding how anhedonia and its sub-component processes relate to depression and loneliness could reveal key targets for intervention development. METHODS: We recruited 275 young people (M(age): 20.50) with clinically significant symptoms of depression, indicated by scores ≥27 on the Mood and Feelings Questionnaire (MFQ). Participants completed the Anhedonia Scale for Adolescents (ASA) and its three subscales: ASA-S1 (Enjoyment, Excitement, and Emotional Flattening); ASA-S2 (Enthusiasm, Connection, and Purpose); ASA-S3 (Effort, Motivation, and Drive); and the UCLA Loneliness Scale (UCLA) at baseline and at four-month follow-up (N = 173). Multiple regression analyses examined the relationships between anhedonia, MDD, and loneliness, both cross-sectionally and longitudinally. RESULTS: Cross-sectionally, the ASA total scores (β = .655, p < .001), ASA-S1 (β = .586, p < .001), and ASA-S3 (β = .153, p = .034) were associated with MDD. ASA total scores (β = .651, p < .001), ASA-S1 (β = .397, p < .001), ASA-S2 (β = .196, p < .001), and ASA-S3 (β = .176, p = .018) were associated with loneliness. Longitudinally, ASA total scores (β = .485, p < .001) and ASA-S1 (β = .298, p = .008) predicted MDD, while ASA-S2 showed a trend toward predicting loneliness (β = .099, p = .058). CONCLUSIONS: This study highlights how specific anhedonia sub-component processes predict increases in clinically significant symptoms of MDD and loneliness among young people, informing the development of more targeted treatments for anhedonia.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。