Wang Xiao, Li Xinrong, Zhao Juan, Du Xinzhe, Li Junxia, Zhao Wentao, Li Jing, Liu Sha, Xu Yong
Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China.
Front Psychiatry. 2023 Jan 20;14:748857. doi: 10.3389/fpsyt.2023.748857. eCollection 2023.
The study aimed to (1) analyze the interrelationships among different types of childhood adversity, diverse personality dimensions, and individual coping style integratively among major depressive disorder (MDD) patients and healthy participants using a network approach; (2) explore the latent class of child maltreatment (CM) and its relationship with cognitive function.
Data were collected from the Objective Diagnostic Markers and Personalized Intervention in MDD Patients (ODMPIM) study, including 1,629 Chinese participants. Using the Childhood Trauma Questionnaire to assess CM, the Simplified Coping Style Questionnaire to measure individual coping style, Eysenck Personality Questionnaire Revised-Short Form for personality characters, and a series of neurocognitive tests, including seven tests with 18 subtests for cognitive assessments. We used the "Network Module" in Jeffreys's Amazing Statistics Program (JASP) and R package for network analysis. A latent class analysis was performed with SAS9.4.
Child maltreatment was more common in MDD patients than in healthy controls, except for emotional abuse. Network analysis showed that emotional abuse, emotional neglect, physical abuse, and physical neglect formed quadrangle connections. Personality dimensions were associated with physical neglect and emotional abuse. All types of CM (excluding sex abuse) showed an association with coping style. Emotional neglect showed the highest centrality measures. Physical neglect had a high level of closeness. To a concerning strength, emotional and physical neglect showed the highest levels. The structure of the networks is variant between groups (M = 0.28, = 0.04). Latent class analysis (LCA) revealed that three classes provided the best fit statistics. Neglect and abuse classes tended to perform more poorly on the five cognitive domains.
This study provided insights on multi-type of CM. Neglect played an important role in different routes through the relation between CM with personality traits and social coping style. However, neglect has often been ignored in previous studies and should receive more public attention.
本研究旨在:(1)采用网络分析方法,综合分析重度抑郁症(MDD)患者和健康参与者中不同类型的童年逆境、不同的人格维度和个体应对方式之间的相互关系;(2)探索儿童虐待(CM)的潜在类别及其与认知功能的关系。
数据来自重度抑郁症患者的客观诊断标志物和个性化干预(ODMPIM)研究,包括1629名中国参与者。使用儿童创伤问卷评估儿童虐待情况,简化应对方式问卷测量个体应对方式,艾森克人格问卷修订版简式评估人格特征,并进行一系列神经认知测试,包括7项测试共18个子测试用于认知评估。我们使用杰弗里斯神奇统计程序(JASP)中的“网络模块”和R包进行网络分析。使用SAS9.4进行潜在类别分析。
除情感虐待外,儿童虐待在MDD患者中比在健康对照组中更常见。网络分析表明,情感虐待、情感忽视、身体虐待和身体忽视形成四边形联系。人格维度与身体忽视和情感虐待相关。所有类型的儿童虐待(不包括性虐待)均与应对方式相关。情感忽视显示出最高的中心性度量。身体忽视具有较高的接近度。值得关注的是,情感和身体忽视显示出最高水平。两组之间网络结构存在差异(M = 0.28,= 0.04)。潜在类别分析(LCA)显示,三个类别提供了最佳拟合统计。忽视和虐待类别在五个认知领域的表现往往较差。
本研究提供了关于多种类型儿童虐待的见解。忽视在儿童虐待与人格特质和社会应对方式之间的关系的不同路径中起着重要作用。然而,忽视在以前的研究中经常被忽视,应得到更多公众关注。