两个卫生保健工作者样本中睡眠、压力和健康数据的日常和瞬间变异性

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY Field Methods Pub Date : 2022-10-27 DOI:10.1177/1525822x221132425
Soomi Lee, C. Mu, R. Joshi, Arooj Khan
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引用次数: 0

摘要

生态瞬时评估(EMA)可以捕捉到个体的睡眠、压力和幸福感是如何相互关联的。然而,EMA的使用涉及参与者负担,这可能是研究一线工作人员等高危人群时的主要障碍。为了指导未来对使用EMA感兴趣的研究,本研究检查了从卫生保健工作者那里收集的睡眠、压力和幸福变量的方差成分。两个医院护士样本(60名住院病人,84名门诊病人)对2周基于智能手机的EMA有反应。两个样本对EMA方案的依从性都很好。班级内相关性的结果显示,压力源和兴奋的瞬间差异更大,睡眠、疲劳和身体症状的日常差异更大,情感、沉思和工作质量的人与人之间差异更大。然而,在这些变量中,存在大量的个人差异。工作日与非工作日、第1周与第2周的方差成分相对一致。注意到样本之间的一些细微差别。
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Daily and Momentary Variability in Sleep, Stress, and Well-being Data in Two Samples of Health Care Workers
Ecological momentary assessment (EMA) can capture how sleep, stress, and well-being are related within individuals. However, the use of EMA involves participant burden, which may be a major barrier when studying at-risk populations like frontline workers. To guide future research interested in using EMA, this study examined variance components in sleep, stress, and well-being variables collected from health care workers. Two samples of hospital nurses (60 inpatient, 84 outpatient) responded to 2-week smartphone-based EMA. Adherence to the EMA protocol was good in both samples. Results from intraclass correlations showed more momentary variability in stressors and uplifts, more daily variability in sleep, fatigue, and physical symptoms, and more between-person variability in affect, rumination, and work quality. Across the variables, however, there was substantial within-person variability. Variance components were relatively consistent between workdays and non-workdays and between week 1 and week 2. Some nuanced between-sample differences were noted.
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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