Suppr超能文献

人格特质与身体机能:一项横断面多方法层面分析

Personality traits and physical functioning: a cross-sectional multimethod facet-level analysis.

作者信息

Kekäläinen Tiia, Terracciano Antonio, Sipilä Sarianna, Kokko Katja

机构信息

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.

Department of Geriatrics, College of Medicine, Florida State University, Tallahassee, FL, USA.

出版信息

Eur Rev Aging Phys Act. 2020 Nov 24;17(1):20. doi: 10.1186/s11556-020-00251-9.

Abstract

BACKGROUND

This study aimed to investigate whether personality traits and their facets are associated with a multi-methods assessment of physical activity and walking performance and whether they explain the discrepancy between self-reported and accelerometer-assessed physical activity.

METHODS

The participants were community-dwelling, 70-85-year-old men and women from Finland (n = 239) who were part of a clinical trial. Personality traits and their facets were measured using the 240-item NEO Personality Inventory-3. Physical activity was assessed using questions about frequency, intensity and duration of exercise (self-reported metabolic equivalent minutes (MET)) and by tri-axial accelerometers (light and moderate-to-vigorous physical activity and total MET-minutes). Walking performance was measured by 6-min walking distance and 10-m walking speed. Linear regression analyses were controlled for age, sex, education, body mass index, disease burden, and intervention group.

RESULTS

The activity facet of extraversion was positively associated with self-reported MET-minutes, accelerometer-assessed light physical activity and walking performance. The positive emotions facet of extraversion was positively associated with self-reported MET-minutes and walking performance. Openness and its facets and the excitement seeking facet of extraversion were positively associated with walking performance. Conscientiousness and most of its facets were associated with both physical activity and walking performance, but these associations were not statistically significant after accounting for all control variables. The impulsiveness facet of neuroticism was negatively associated with accelerometer-assessed light physical activity and walking performance, but the associations with walking performance attenuated after accounting for all control variables. Accelerometer-assessed moderate-to-vigorous physical activity was not associated with personality traits or facets. Discrepancy analyses suggest that openness and the excitement-seeking facet of extraversion were associated with higher self-reported than accelerometer-assessed physical activity.

CONCLUSIONS

Consistently across methods, older adults who scored higher on facets of extraversion and conscientiousness tended to be more active and outperformed peers on walking performance. Older adults who scored higher in the facets of openness and the excitement-seeking facet of extraversion had better walking performance but also overestimated their self-reported physical activity compared to the accelerometers.

摘要

背景

本研究旨在调查人格特质及其各个方面是否与身体活动和步行表现的多方法评估相关,以及它们是否能解释自我报告的身体活动与加速度计评估的身体活动之间的差异。

方法

参与者为来自芬兰的70 - 85岁社区居民男女(n = 239),他们是一项临床试验的一部分。使用240项的大五人格量表第三版(NEO Personality Inventory-3)测量人格特质及其各个方面。通过询问运动频率、强度和持续时间来评估身体活动(自我报告的代谢当量分钟数(MET)),并使用三轴加速度计(轻度和中度至剧烈身体活动以及总MET分钟数)进行评估。通过6分钟步行距离和10米步行速度来测量步行表现。线性回归分析对年龄、性别、教育程度、体重指数、疾病负担和干预组进行了控制。

结果

外向性的活动方面与自我报告的MET分钟数、加速度计评估的轻度身体活动和步行表现呈正相关。外向性的积极情绪方面与自我报告的MET分钟数和步行表现呈正相关。开放性及其各个方面以及外向性的寻求刺激方面与步行表现呈正相关。尽责性及其大多数方面与身体活动和步行表现均相关,但在考虑所有控制变量后,这些关联无统计学意义。神经质的冲动方面与加速度计评估的轻度身体活动和步行表现呈负相关,但在考虑所有控制变量后,与步行表现的关联减弱。加速度计评估的中度至剧烈身体活动与人格特质或其各个方面无关。差异分析表明,开放性和外向性的寻求刺激方面与自我报告的身体活动高于加速度计评估的身体活动相关。

结论

在各种方法中一致地,在外向性和尽责性方面得分较高的老年人往往更活跃,并且在步行表现上优于同龄人。在开放性和外向性的寻求刺激方面得分较高的老年人步行表现更好,但与加速度计相比,他们也高估了自我报告的身体活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc9/7685629/69c84de281fd/11556_2020_251_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验