Interrelationships Among Personality Traits, Depressive Symptoms, Childhood Abuse, and Social Disability

IF 3.3 2区医学 Q1 PSYCHIATRY

Depression and Anxiety Pub Date : 2025-10-01 DOI:10.1155/da/2250192

Zizhao Feng, Jia Zhou, Rui Liu, Le Xiao, Yuan Feng, Ruinan Li, Xiaoya Li, Xueshan Zhang, Jing Liu, Gang Wang, Jingjing Zhou

{"title":"Interrelationships Among Personality Traits, Depressive Symptoms, Childhood Abuse, and Social Disability","authors":"Zizhao Feng, Jia Zhou, Rui Liu, Le Xiao, Yuan Feng, Ruinan Li, Xiaoya Li, Xueshan Zhang, Jing Liu, Gang Wang, Jingjing Zhou","doi":"10.1155/da/2250192","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Background</h3>\n \n <p>Personality traits and childhood abuse were found to be associated with depressive symptoms and with each other. However, no previous study has elucidated the directional interrelationship among those factors in a clinical population of patients with major depressive disorder (MDD). This study sought to construct networks to explicate the directional interrelationship among those factors and social disability, identify the most central factor, and explore potentially existing causality chains implied by the directed association chains.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This cross-sectional study analyzed data from 1445 patients with MDD in a national cohort. Personality traits were measured using the Eysenck Personality Questionnaire-Revised Short Scale for Chinese (EPQ-RSC). Seven dimensions of depressive symptoms were measured with various scales: depression, anxiety, insomnia, and somatic symptoms with the 17-item Hamilton Depression Rating Scale (HAMD-17), the loss of pleasure sensation with the Snaith-Hamilton Pleasure Scale (SHAPS), apathy with the Modified Apathy Evaluation Scale (MAES), and fatigue with the Chalder Fatigue Scale (CFS-11). Childhood abuse experience was measured using the Childhood Trauma Questionnaire-Short Form (CTQ-SF). Social disability was measured with the Sheehan Disability Scale (SDS). Undirected and Bayesian network analyses were used to identify central factors and explore directional interrelationships among the variables.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The loss of pleasure sensation was the most central in terms of strength and closeness. In the directed acyclic graph (DAG) derived from the Bayesian network analysis, psychoticism was positioned at the highest level in the model, suggesting its causal precedence. One key directed association chain, which implied a potentially existing causality chain, was that psychoticism predicted the loss of pleasure sensation, and this symptom predicted social disability.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Loss of pleasure sensation and psychoticism might be important for future research in MDD. The appearance of psychoticism at the beginning of the directed association chain (which implied a potentially existing causality chain) involving the central factor and the characteristics of high psychoticism implied that the social/interpersonal component of the loss of pleasure sensation may be a meaningful focus of future research and intervention of MDD.</p>\n </section>\n \n <section>\n \n <h3> Trial Registration</h3>\n \n <p>Chinese Clinical Trial Registry: ChiCTR2200059053</p>\n </section>\n </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/2250192","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Depression and Anxiety","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/da/2250192","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Personality traits and childhood abuse were found to be associated with depressive symptoms and with each other. However, no previous study has elucidated the directional interrelationship among those factors in a clinical population of patients with major depressive disorder (MDD). This study sought to construct networks to explicate the directional interrelationship among those factors and social disability, identify the most central factor, and explore potentially existing causality chains implied by the directed association chains.

Methods

This cross-sectional study analyzed data from 1445 patients with MDD in a national cohort. Personality traits were measured using the Eysenck Personality Questionnaire-Revised Short Scale for Chinese (EPQ-RSC). Seven dimensions of depressive symptoms were measured with various scales: depression, anxiety, insomnia, and somatic symptoms with the 17-item Hamilton Depression Rating Scale (HAMD-17), the loss of pleasure sensation with the Snaith-Hamilton Pleasure Scale (SHAPS), apathy with the Modified Apathy Evaluation Scale (MAES), and fatigue with the Chalder Fatigue Scale (CFS-11). Childhood abuse experience was measured using the Childhood Trauma Questionnaire-Short Form (CTQ-SF). Social disability was measured with the Sheehan Disability Scale (SDS). Undirected and Bayesian network analyses were used to identify central factors and explore directional interrelationships among the variables.

Results

The loss of pleasure sensation was the most central in terms of strength and closeness. In the directed acyclic graph (DAG) derived from the Bayesian network analysis, psychoticism was positioned at the highest level in the model, suggesting its causal precedence. One key directed association chain, which implied a potentially existing causality chain, was that psychoticism predicted the loss of pleasure sensation, and this symptom predicted social disability.

Conclusion

Loss of pleasure sensation and psychoticism might be important for future research in MDD. The appearance of psychoticism at the beginning of the directed association chain (which implied a potentially existing causality chain) involving the central factor and the characteristics of high psychoticism implied that the social/interpersonal component of the loss of pleasure sensation may be a meaningful focus of future research and intervention of MDD.

Trial Registration

Chinese Clinical Trial Registry: ChiCTR2200059053

Abstract Image

查看原文本刊更多论文

人格特征、抑郁症状、童年虐待和社会残疾之间的相互关系

研究发现，性格特征和童年受虐与抑郁症状相关，而且彼此之间也存在关联。然而，之前的研究尚未阐明这些因素在重度抑郁障碍（MDD）患者的临床人群中的定向相互关系。本研究试图构建网络来解释这些因素与社会残疾之间的定向相互关系，找出最核心的因素，并探索定向关联链隐含的潜在因果链。方法：本横断面研究分析了1445例重度抑郁症患者的数据。采用艾森克人格问卷-修正中国人短量表（EPQ-RSC）进行人格特征测量。抑郁症状的七个维度采用不同的量表进行测量：抑郁、焦虑、失眠和躯体症状采用17项汉密尔顿抑郁评定量表（HAMD-17），愉悦感丧失采用斯奈斯-汉密尔顿愉悦量表（SHAPS），冷漠采用改良冷漠评价量表（MAES），疲劳采用查尔德疲劳量表（CFS-11）。儿童虐待经历采用儿童创伤问卷-短表格（CTQ-SF）进行测量。社会功能障碍采用Sheehan残疾量表（SDS）进行测量。使用无向和贝叶斯网络分析来识别中心因素并探索变量之间的定向相互关系。结果愉悦感的丧失在力量和亲密感方面是最主要的。在贝叶斯网络分析得出的有向无环图（DAG）中，精神病被定位在模型的最高层次，表明其因果优先性。其中一个关键的直接关联链暗示了一个潜在存在的因果链，即精神病预示着愉悦感的丧失，而这种症状预示着社交障碍。结论快感丧失和精神病性可能是今后研究MDD的重要内容。精神质出现在涉及中心因素的定向关联链的开头（这暗示了潜在存在的因果链），以及高精神质的特征暗示了快乐感觉丧失的社会/人际成分可能是未来研究和干预重度抑郁症的一个有意义的重点。中国临床试验注册中心：ChiCTR2200059053

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Depression and Anxiety 医学-精神病学

CiteScore

15.00

自引率

1.40%

发文量

审稿时长

4-8 weeks

期刊介绍： Depression and Anxiety is a scientific journal that focuses on the study of mood and anxiety disorders, as well as related phenomena in humans. The journal is dedicated to publishing high-quality research and review articles that contribute to the understanding and treatment of these conditions. The journal places a particular emphasis on articles that contribute to the clinical evaluation and care of individuals affected by mood and anxiety disorders. It prioritizes the publication of treatment-related research and review papers, as well as those that present novel findings that can directly impact clinical practice. The journal's goal is to advance the field by disseminating knowledge that can lead to better diagnosis, treatment, and management of these disorders, ultimately improving the quality of life for those who suffer from them.