伊拉姆职业技术办公室员工脑行为抑制与激活系统(BIS/BAS)与慢性疲劳综合征的关系

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摘要

简介:疲劳是一种令人不愉快的精神感觉,也被证明会降低身体和精神表现,本研究的目的是研究大脑行为系统与伊拉姆技术和职业办公室员工慢性疲劳综合征之间的关系。材料和方法:本研究的目的是基于应用研究的目的,基于数据收集的方式是描述性研究。研究社区包括2019年伊拉姆市的所有技术和专业员工。从上述社区中,通过现有的抽样方法选择了120人。然后采用慢性疲劳问卷和行为心理系统问卷进行问卷调查。采用Pearson相关法和回归法对假设进行分析。结果:根据研究结果,驾驶与慢性疲劳在水平上存在显著正相关关系(P = 0.000 r = 0.447)。娱乐搜索与慢性疲劳在水平上呈显著负相关(r = 0.321, p = -000)。奖励反应与慢性疲劳在水平上呈显著正相关(P = 0.004, r= 0.264)。行为抑制与驾驶员在水平上呈显著正相关(P = 0.004, r = 0.244)。驱动因素与反应呈显著正相关(P = 0.004, r = 0.354)。司机量表、娱乐搜索、奖励反应和行为抑制预测了13.5%的慢性疲劳方差。结论:行为脑系统与慢性疲劳之间存在显著关系。因此,关注脑-行为系统作为慢性疲劳的有效因素是很重要的
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The Relationship between the Brain Behavioral Inhibition and Activation Systems (BIS/BAS) with Chronic Fatigue Syndrome among Employees of Technical and Vocational Office of Ilam
Introduction:Fatigue is an unpleasant mental feeling that has also been shown to decrease physical and mental performance, The aim of this study was to examine the relationship between brain-behavioral systems and chronic fatigue syndrome employes Technical and Vocational Office of Ilam. Materials and methods: the aim of this study is based on the purpose of the applied research and based on the way data collection is descriptive research. the research community includes all the technical and professional employees of the city of ilam in 2019. from the above mentioned community, 120 people were selected from available sampling method . then the questionnaire was conducted with chronic fatigue questionnaire and behavioral mental systems questionnaire. to analyze the hypotheses, pearson correlation method and regression were used. Results: According to the research results, there is a positive and significant relationship between driving and chronic fatigue at the level (P = 0.000 r = 0.447). There is a significant negative relationship between entertainment search and chronic fatigue at the level (r = 0.321, p = -000). There was a positive and significant relationship between reward response and chronic fatigue at the level (P = 0.004, r= 0.264). There is a positive and significant relationship between behavioral inhibition and driver at the level (P = 0.004, r = 0.244). There is a positive and significant relationship between driver and response (P = 0.004, r = 0.354). Driver scales, entertainment search, reward response, and behavioral inhibition predict 13.5% of the variance of chronic fatigue. Conclusion: Therefore, it is concluded that there is a significant relationship between behavioral brain systems and chronic fatigue. Therefore, it is important to pay attention to the brain-behavioral systems as an effective factor in chronic fatigue
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