Evidence map›Paper›PMID 40330646›Full record

ArticleFrontiers in psychiatry2025

The influence of emotion dysregulation and perceived social support on the link between childhood emotional abuse and depressive symptoms in college students: a moderated mediation model.

Huiyuan Huang, Haiqi Wu, Lin Luo, Bingqing Jiao, Yilin Wu, Guanyang Zou, Jiabao Lin, Wenqi Wang, Lijun Ma

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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Huiyuan Huang *School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Haiqi Wu *School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lin LuoSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Bingqing JiaoSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yilin WuSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guanyang ZouSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiabao LinSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wenqi WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Lijun MaSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood emotional abuse is strongly linked to an increased risk of depression. However, the pathways linking the two remain elusive. Our study sought to examine how emotion dysregulation and perceived social support influence the link between childhood emotional abuse and depressive symptoms among Chinese college students. Methods: This study involved 1728 Chinese college students aged 18-24. We utilized the Emotional Abuse (EA) subscale of the Childhood Trauma Questionnaire, Beck Depression Inventory (BDI), Difficulties in Emotion Regulation Scale (DERS) and Perceived Social Support Scale (PSSS) to assess the interrelationships among the study variables. A moderated mediation model was constructed to elucidate these relationships. Results: Our results indicated a positive correlation between EA, DERS, and BDI. Conversely, PSSS was negatively correlated with EA, BDI, and DERS. Notably, EA is linked to a heightened vulnerability to BDI, with DERS mediating this association. PSSS moderated both the direct path of EA on BDI and the association between DERS and BDI. Furthermore, gender difference was observed in the role of PSSS. PSSS moderated the link between EA and BDI was significant only in the male group and no longer significant under the condition of high PSSS. Conclusion: This study sheds light on the mediating effect of emotion dysregulation and the moderating effect of perceived social support in the connection between childhood emotional abuse and depressive symptoms. The adverse influence of childhood emotional abuse on subsequent depression may be mitigate through interventions focused on enhancing perceived social support and skills in regulating emotions in college students.

Indexed as

childhood emotional abusedepressive symptomsemotion dysregulationmoderated mediation modelperceived social support

Identifiers

PMID40330646
PMCPMC12054248

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.