性格特征对健康和幸福的预测超越了人格。

IF 2.8 3区心理学 Q2 PSYCHOLOGY, CLINICAL

Journal of personality assessment Pub Date : 2024-01-01 Epub Date: 2023-04-10 DOI:10.1080/00223891.2023.2197064

Danielle Wilson, Vincent Ng, Jeff Foster, Louis Tay

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引用次数: 0

摘要

我们研究了性格在预测健康结果和幸福感方面超越人格特质的增量有效性，并调查了健康相关行为在多大程度上调解了性格与幸福感之间的关系。研究结果表明，有几种性格核心（如超越、坚毅）在预测幸福感、健康行为和健康结果方面超越了不同的人格特质衡量标准，这表明性格与人格是可以区分的，正如增量预测所显示的那样。其中，刚毅、节制、超越和真诚似乎是关键因素。本文讨论了性格研究的意义。

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Character Traits Predict Health and Well-Being beyond Personality.

We examined the incremental validity of character in predicting health outcomes and well-being beyond personality traits and investigated the extent to which health-related behaviors mediate the relationship between character and well-being. Findings indicate that several character cores (e.g., transcendence, fortitude) predict well-being, health behaviors, and health outcomes beyond different measures of personality traits, indicating that character is discriminable from personality as indicated by incremental prediction. In particular, fortitude, temperance, transcendence, and sincerity appear to be key players. Implications for character research are discussed.

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来源期刊

Journal of personality assessment Multiple-

CiteScore

7.20

自引率

8.80%

发文量

期刊介绍： The Journal of Personality Assessment (JPA) primarily publishes articles dealing with the development, evaluation, refinement, and application of personality assessment methods. Desirable articles address empirical, theoretical, instructional, or professional aspects of using psychological tests, interview data, or the applied clinical assessment process. They also advance the measurement, description, or understanding of personality, psychopathology, and human behavior. JPA is broadly concerned with developing and using personality assessment methods in clinical, counseling, forensic, and health psychology settings; with the assessment process in applied clinical practice; with the assessment of people of all ages and cultures; and with both normal and abnormal personality functioning.