School of Psychology, Northwest Normal University, Lanzhou 730070, China.
School of Education, Lanzhou City University, Lanzhou 730070, China.
Int J Environ Res Public Health. 2021 Aug 17;18(16):8693. doi: 10.3390/ijerph18168693.
During the COVID-19 pandemic, mental health problems have increased and are likely to be influenced by personality traits. The present study investigated the association between personality traits and mental health problems (anxiety, depression, post-traumatic stress syndrome (PTSD) symptoms, and obsessive-compulsive disorder (OCD) symptoms) through the person-centered approach because this has some advantages over the variable-centered approach. The data were collected from a sample of 765 Chinese citizens who participated in an online survey in October 2020. Latent profile analysis identified three latent personality profiles-highly adaptive, adaptive, and maladaptive. Highly adaptive individuals had higher extroversion, agreeableness, conscientiousness, openness, and lower neuroticism, while maladaptive individuals had lower extroversion, agreeableness, conscientiousness, openness, and higher neuroticism. Multivariate analysis of variance results showed that individuals with highly adaptive profiles had lower anxiety, depression, and PTSD symptoms compared to individuals with adaptive and maladaptive profiles. The findings of the present study indicate mental health professionals would benefit from formulated intervention plans given the association between latent personality profiles and mental health problems.
在 COVID-19 大流行期间，心理健康问题有所增加，并且可能受到个性特征的影响。本研究通过以个体为中心的方法探讨了个性特征与心理健康问题（焦虑，抑郁，创伤后应激障碍（PTSD）症状和强迫症（OCD）症状）之间的关联，因为这种方法相对于变量为中心的方法具有一些优势。该数据来自 2020 年 10 月参加在线调查的 765 名中国公民的样本。潜在剖面分析确定了三个潜在的个性特征谱-高度适应性，适应性和适应性差。高度适应的个体具有较高的外向性，宜人性，尽责性，开放性和较低的神经质，而适应性差的个体具有较低的外向性，宜人性，尽责性，开放性和较高的神经质。多变量方差分析结果表明，与适应性和适应性差的个体相比，具有高度适应性特征的个体的焦虑，抑郁和 PTSD 症状较低。本研究的结果表明，鉴于潜在个性特征与心理健康问题之间的关联，心理健康专业人员将从制定的干预计划中受益。
