From the Department of Psychology, University of Kentucky, Lexington.
Psychosom Med. 2019 Jun;81(5):408-414. doi: 10.1097/PSY.0000000000000701.
The study of relationships between personality traits and health has a long history in psychosomatic research. However, personality science has evolved from an understanding of personality as fixed traits to one that acknowledges that personality is dynamic. Dynamic approaches to conceptualizing and measuring personality and individual differences can enrich personality-health research. In this Presidential Address (American Psychosomatic Society, 2018), I consider how different formulations of personality-stable traits, stable signals in a noisy or variable measure, within-person changes, and intraindividual variability-can be implemented to better understand how personality is related to health and particularly to immune function. These approaches recognize and, in some cases, capitalize on the fact that personality factors can display variability as well as stability over time. They also require repeated measurement and therefore greater methodological sophistication that considers reliability and generalizability, Simpson's paradox, and the difference between variability and flexibility. Dynamic qualities of personality and individual differences potentially influence health, and designs and methodology that incorporate them can illuminate the important processes that occur inside the error bars.
人格特质与健康之间关系的研究在身心医学研究中有着悠久的历史。然而,人格科学已经从对人格是固定特质的理解发展到承认人格是动态的。从概念化和测量人格和个体差异的动态方法可以丰富人格-健康研究。在本次主席演讲(美国身心医学学会,2018 年)中,我考虑了人格稳定特质的不同表述方式、噪声或可变测量中的稳定信号、个体内变化以及个体内可变性,如何能够更好地理解人格与健康的关系,尤其是与免疫功能的关系。这些方法认识到,在某些情况下,人格因素在时间上不仅可以显示稳定性,也可以显示可变性。它们还需要重复测量,因此需要更复杂的方法学,考虑可靠性和可推广性、辛普森悖论以及变异性和灵活性之间的区别。人格和个体差异的动态特征可能会影响健康,并且包含这些特征的设计和方法可以阐明在误差范围内发生的重要过程。