He Yini, Li Ang, Li Kaixin, Xiao Jing
Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
PeerJ. 2021 Jun 22;9:e11379. doi: 10.7717/peerj.11379. eCollection 2021.
Neuroticism and stress are important vulnerability factors in the development and outcome of anxiety symptoms. However, as neuroticism is a heterogeneity trait, it is still unclear how different neuroticism factors contribute to anxiety symptoms independently or in conjunction with stress. Thus, different factors of neuroticism were extracted in the present longitudinal study using the bi-factor model. The prediction effect of these different factors on anxiety symptoms and their combined effects with stress in both adolescent and adult samples were examined.
Participants (592 adolescents and 638 young adults) in Hunan China were included. In the initial assessment in our longitudinal study, participants were asked to complete measurements that assessed neuroticism, stress, and anxiety symptoms. Next, a monthly assessment of stress and anxiety symptoms was completed for the subsequent 6 months. The bi-factor model was used to extract different factors of neuroticism. The hierarchical linear model was used to analyze longitudinal multi-wave data.
Several model fit indices were used to evaluate the bi-factor model fit for neuroticism (adolescent: Tucker-Lewis index (TLI) = 0.957, comparative fit index (CFI) = 0.973, RMSEA = 0.040, Chi-Square = 80.471; early adults: TLI = 0.957, CFI = 0.973, RMSEA = 0.042, Chi-Square = 88.465). The results of hierarchical linear modeling analyses indicated that the general factor of neuroticism possessed a predictive effect on anxiety symptoms (adolescents: F = 36.77, < 0.0001, early adults: F = 30.44, < 0.0001); The negative effect factor only had the prediction effect on anxiety symptoms in early adults (adolescents: F = 0.65, > 0.05; early adults: F = 4.84, < 0.05); No prediction of self-reproach factor was found on anxiety symptoms (adolescents: F = 3.79, > 0.05; early adults: F = 0.02, > 0.05); the interactive effects of the general factor and stress on anxiety symptoms were only found in early adulthood (adolescents: F = 0.13, > 0.05; early adults: F = 11.55, < 0.01).
Our results suggested that the bi-factor model achieved a satisfactory fit for neuroticism measurement and supported that the anxiety symptoms were induced by the main effects of the general factor in both age samples and the negative factor only in adults. The general factor of neuroticism, but not the negative factor could make an additive effect for anxiety symptoms in face of stress, which meant that the homogeneity of neuroticism played a more significant role in further anxiety symptoms than heterogeneity when coping with stress.
神经质和压力是焦虑症状发生及预后的重要易感性因素。然而,由于神经质是一种异质性特质,目前仍不清楚不同的神经质因素是如何独立地或与压力共同作用于焦虑症状的。因此,在本纵向研究中,我们使用双因素模型提取了神经质的不同因素,并检验了这些不同因素对青少年和成人样本中焦虑症状的预测作用及其与压力的联合效应。
研究纳入了来自中国湖南的592名青少年和638名青年。在纵向研究的初始评估中,参与者被要求完成评估神经质、压力和焦虑症状的测量。接下来,在随后的6个月中每月对压力和焦虑症状进行一次评估。使用双因素模型提取神经质的不同因素,采用分层线性模型分析纵向多波数据。
使用多个模型拟合指数评估双因素模型对神经质的拟合情况(青少年:塔克-刘易斯指数(TLI)=0.957,比较拟合指数(CFI)=0.973,均方根误差近似值(RMSEA)=0.040,卡方=80.471;青年:TLI=0.957,CFI=0.973,RMSEA=0.042,卡方=88.465)。分层线性建模分析结果表明,神经质的一般因素对焦虑症状具有预测作用(青少年:F=36.77,P<0.0001;青年:F=30.44,P<0.0001);消极影响因素仅对青年的焦虑症状具有预测作用(青少年:F=0.65,P>0.05;青年:F=4.84,P<0.05);未发现自我责备因素对焦虑症状有预测作用(青少年:F=3.79,P>0.05;青年:F=0.02,P>0.05);一般因素与压力对焦虑症状的交互作用仅在青年期被发现(青少年:F=0.13,P>0.05;青年:F=11.55,P<0.01)。
我们的结果表明,双因素模型对神经质测量的拟合效果令人满意,并支持在两个年龄样本中焦虑症状均由一般因素的主效应诱发,而消极因素仅在成年人中起作用。面对压力时,神经质的一般因素而非消极因素对焦虑症状具有累加效应,这意味着在应对压力时,神经质的同质性在进一步加重焦虑症状方面比异质性发挥了更显著的作用。