Kang Weixi
UK DRI Care Research and Technology Centre, Department of Brain Sciences, Imperial College London, 926, Sir Michael Uren Hub, 86 Wood Lane, London W12 0BZ, UK.
J Clin Med. 2023 Jan 15;12(2):682. doi: 10.3390/jcm12020682.
Objective: The objective of the current study is to investigate how Big Five personality traits could predict the risk of multiple sclerosis (MS) diagnosis in 7 years. Methods: A binary logistic regression was used to analyze data from 17,791 participants who responded to questions at Wave 3 (collected between 2011 to 2012) and Wave 10 (collected between 2018 to 2019) using a binary logistic regression from UKHLS with a mean age of 47.01 (S.D. = 16.31) years old with 42.62% males. Results: The current study found that Openness (OR = 0.68, p < 0.01, 95% C.I. (0.51, 0.89)) and Conscientiousness (OR = 0.70, p < 0.05, 95% C.I. (0.52, 0.93)) are positively associated with a reduced risk of MS diagnosis in 7 years. Conclusion: Health professionals can use findings from the current study as evidence for developing tools for assessing the risk of MS, and providing interventions for people who may be at high risk of MS based on their personality traits.
本研究的目的是调查大五人格特质如何预测7年内患多发性硬化症（MS）的风险。方法：使用二元逻辑回归分析来自17791名参与者的数据，这些参与者在第3波（2011年至2012年收集）和第10波（2018年至2019年收集）回答了问题，采用来自英国住户纵向调查（UKHLS）的二元逻辑回归，平均年龄为47.01岁（标准差=16.31），男性占42.62%。结果：本研究发现，开放性（OR = 0.68，p < 0.01，95%置信区间（0.51，0.89））和尽责性（OR = 0.70，p < 0.05，95%置信区间（0.52，0.93））与7年内MS诊断风险降低呈正相关。结论：卫生专业人员可以将本研究的结果作为开发评估MS风险工具的证据，并根据人格特质为可能处于MS高风险的人群提供干预措施。
