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首页> 外文期刊>Journal of physical activity & health >Cross-sectional associations between the five factor personality traits and leisure-time sitting-time: The effect of general self-efficacy
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Cross-sectional associations between the five factor personality traits and leisure-time sitting-time: The effect of general self-efficacy

机译：五个因素的人格特质与休闲时间的横断面关联：一般自我效能的影响

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Background: Leisure-time sitting-time (LTST) is seen as a possible independent risk-factor for physical and mental health, but research on psychological determinants is sparse. Associations between sitting-time and the personality dimensions of neuroticism, extroversion, openness, agreeableness, and conscientiousness, and the role of general self-efficacy (GSE) were investigated. Methods: A population-based, cross-sectional study was conducted at the Research Centre for Prevention and Health, Denmark, in 2006-08. Men and women (N = 3471) aged 18 to 69, were randomly sampled in the suburbs of Copenhagen. The NEO Five-Factor Inventory, the General Self-Efficacy-Scale, and the Physical Activity Scale 2 were used. Results: Negative associations were found between LTST and extroversion, conscientiousness, and openness, while neuroticism showed a positive association (R2 = .13). The associations with agreeableness became significantly positive, when GSE was included. All 5 associations were mediated by GSE, with mediation proportions between 23%-60%; but with modest effect sizes. Conclusions: These cross-sectional results indicate that personality traits and GSE could be considered as associates of LTST; but future longitudinal data are necessary to make causal statements and rule out alternative models fitting data.
机译：背景：休闲时间（LTST）被认为是可能影响身心健康的独立危险因素，但对心理决定因素的研究很少。研究了就座时间与神经质，外向，开放，乐于助人和尽责的人格维度之间的关联，以及一般自我效能感（GSE）的作用。方法：2006-08年在丹麦预防与健康研究中心进行了一项基于人群的横断面研究。在哥本哈根郊区随机抽取了18至69岁的男女（N = 3471）。使用NEO五因素库存量，一般自我效能量表和体育活动量表2。结果：LTST与外向性，尽责性和开放性之间呈负相关，而神经质则呈正相关（R2 = .13）。当纳入GSE时，具有良好一致性的关联变得显着积极。这5个协会均由GSE进行调解，调解比例在23％-60％之间;但效果大小适中。结论：这些横断面结果表明，人格特质和GSE可以被认为是LTST的相关者;但是未来的纵向数据对于做出因果关系陈述并排除拟合数据的替代模型是必要的。

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