Section of Basic Psychology, Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China.
Section of Military Psychology, Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China.
Front Public Health. 2023 Aug 3;11:1204285. doi: 10.3389/fpubh.2023.1204285. eCollection 2023.
Anxiety and depression are among the greatest contributors to the global burden of diseases. The close associations of personality traits with anxiety and depression have been widely described. However, the common practice of sum scores in previous studies limits the understanding of the fine-grained connections between different personality traits and anxiety and depression symptoms and cannot explore and compare the risk or protective effects of personality traits on anxiety and depression symptoms.
We aimed to determine the fine-grained connections between different personality traits and anxiety and depression symptoms and identify the detrimental or protective effects of different personality traits on anxiety and depression symptoms.
A total of 536 college students from China were recruited online, and the average age was 19.98 ± 1.11. The Chinese version of the Ten-Item Personality Inventory, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 was used to investigate the personality traits and symptoms of anxiety and depression of participants after they understood the purpose and filling method of the survey and signed the informed consent. The demographic characteristics were summarized, and the scale scores were calculated. The network model of personality traits and symptoms of anxiety and depression was constructed, and bridge expected influence (BEI) was measured to evaluate the effect of personality traits on anxiety and depression. The edge accuracy and BEI stability were estimated, and the BEI difference and the edge weight difference were tested.
In the network, 29 edges (indicating partial correlations between variables) bridged the personality community and the anxiety and depression community, among which the strongest correlations were extraversion-fatigue, agreeableness-suicidal ideation, conscientiousness-uncontrollable worry, neuroticism-excessive worry, neuroticism-irritability, and openness-feelings of worthlessness. Neuroticism had the highest positive BEI value (0.32), agreeableness had the highest negative BEI value (-0.27), and the BEI values of neuroticism and agreeableness were significantly different from those of most other nodes ( < 0.05).
There are intricate correlations between personality traits and the symptoms of anxiety and depression in college students. Neuroticism was identified as the most crucial risk trait for depression and anxiety symptoms, while agreeableness was the most central protective trait.
焦虑和抑郁是全球疾病负担的主要因素之一。人格特质与焦虑和抑郁之间的密切关系已被广泛描述。然而,以前研究中的总分方法限制了对不同人格特质与焦虑和抑郁症状之间细微联系的理解,并且无法探索和比较人格特质对焦虑和抑郁症状的风险或保护作用。
本研究旨在确定不同人格特质与焦虑和抑郁症状之间的细微联系,并确定不同人格特质对焦虑和抑郁症状的有害或保护作用。
本研究共招募了 536 名来自中国的大学生,平均年龄为 19.98±1.11 岁。使用中文版的 10 项人格量表、广泛性焦虑障碍 7 项量表和患者健康问卷 9 项量表,在参与者了解调查的目的和填写方法并签署知情同意书后,调查他们的人格特质和焦虑、抑郁症状。总结人口统计学特征,并计算量表得分。构建人格特质与焦虑和抑郁症状的网络模型,并测量桥接预期影响(BEI)以评估人格特质对焦虑和抑郁的影响。估计边缘准确性和 BEI 稳定性,并测试 BEI 差异和边缘权重差异。
在网络中,有 29 条边(表示变量之间的部分相关)连接了人格社区和焦虑与抑郁社区,其中最强的相关性是外向性疲劳、宜人性自杀意念、尽责性无法控制的担忧、神经质过度担忧、神经质易激惹和开放性无价值感。神经质具有最高的正 BEI 值(0.32),宜人性具有最高的负 BEI 值(-0.27),并且神经质和宜人性的 BEI 值与大多数其他节点的 BEI 值显著不同( < 0.05)。
大学生的人格特质与焦虑和抑郁症状之间存在复杂的关联。神经质被确定为抑郁和焦虑症状的最关键风险特质,而宜人性是最核心的保护特质。