The goal of this study was to examine how certain personality traits relate to trait flow, also known as flow proneness. We examined whether those relationships differ between work and leisure context. Using an online survey via snowball method, we obtained the self-reported results of 273 participants (M_age = 38.3 years). We performed two parallel hierarchical regression analyses, one for each context flow is experienced in, and used the same blocks of predictors in both: the first block included age and gender, the second FFM dimensions, and the third anxiety and cognitive failures. A total of 33% of flow proneness variance was explained in the work context, with statistically significant positive predictors being age, extraversion, and consciousness, while negative predictors were openness, and anxiety. We also explained 42% flow proneness variance in the leisure context, with age and consciousness as positive predictors, and neuroticism and anxiety as negative predictors.

这项研究的目的是研究某些人格特质与特质流如何相关，也称为流倾向。我们研究了工作和休闲环境之间的关系是否不同。通过滚雪球的方法使用的网上调查中，我们获得了273名参与者的自我报告的结果（中号_年龄 = 38.3年）。我们执行了两个平行的层次回归分析，每个经历的上下文流都进行了一次分析，并且在两个方面都使用了相同的预测变量：第一个变量包括年龄和性别，第二个FFM维度以及第三个焦虑和认知障碍。在工作环境中总共解释了33％的血流倾向性变化，具有统计学意义的积极预测因子是年龄，外向性和意识，而消极预测因子是开放性和焦虑感。我们还解释了休闲环境中42％的血流倾向性变化，年龄和意识为阳性预测因子，神经质和焦虑为阴性预测因子。