Suppr超能文献

在一个基于大规模人群的成人样本中,五因素模型人格特质与消化性溃疡疾病之间的关系。

The relationship between the Five-Factor Model personality traits and peptic ulcer disease in a large population-based adult sample.

作者信息

Realo Anu, Teras Andero, Kööts-Ausmees Liisi, Esko Tõnu, Metspalu Andres, Allik Jüri

机构信息

Department of Psychology, University of Tartu, Estonia.

Institute of Molecular and Cell Biology, University of Tartu, Estonia.

出版信息

Scand J Psychol. 2015 Dec;56(6):693-9. doi: 10.1111/sjop.12248. Epub 2015 Oct 6.

Abstract

The current study examined the relationship between the Five-Factor Model personality traits and physician-confirmed peptic ulcer disease (PUD) diagnosis in a large population-based adult sample, controlling for the relevant behavioral and sociodemographic factors. Personality traits were assessed by participants themselves and by knowledgeable informants using the NEO Personality Inventory-3 (NEO PI-3). When controlling for age, sex, education, and cigarette smoking, only one of the five NEO PI-3 domain scales - higher Neuroticism - and two facet scales - lower A1: Trust and higher C1: Competence - made a small, yet significant contribution (p < 0.01) to predicting PUD in logistic regression analyses. In the light of these relatively modest associations, our findings imply that it is certain behavior (such as smoking) and sociodemographic variables (such as age, gender, and education) rather than personality traits that are associated with the diagnosis of PUD at a particular point in time. Further prospective studies with a longitudinal design and multiple assessments would be needed to fully understand if the FFM personality traits serve as risk factors for the development of PUD.

摘要

本研究在一个基于人群的大型成年样本中,考察了五因素模型人格特质与医生确诊的消化性溃疡疾病(PUD)诊断之间的关系,并对相关行为和社会人口学因素进行了控制。人格特质由参与者本人和知情者使用新版大五人格量表(NEO PI-3)进行评估。在控制了年龄、性别、教育程度和吸烟因素后,在逻辑回归分析中,NEO PI-3的五个领域量表中只有一个——较高的神经质——以及两个子量表——较低的A1:信任和较高的C1:能力——对预测PUD有微小但显著的贡献(p<0.01)。鉴于这些关联相对较弱,我们的研究结果表明,在特定时间点,与PUD诊断相关的是某些行为(如吸烟)和社会人口学变量(如年龄、性别和教育程度),而非人格特质。若要全面了解大五人格特质是否为PUD发生的风险因素,则需要进一步开展具有纵向设计和多次评估的前瞻性研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验