文章基本信息

标题：Longitudinal changes in COVID-19 concern and stress: Pandemic fatigue overrides individual differences in caution
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作者：Jeffrey Gassen ; Tomasz J Nowak ; Alexandria D Henderson 等
期刊名称：Journal of Public Health Research
印刷版ISSN：2279-9028
电子版ISSN：2279-9036
出版年度：2022
卷号：11
期号：3
DOI：10.1177/22799036221119011
语种：English
出版社：PAGEPress Publications
摘要：Background: Pandemic fatigue describes a phenomenon whereby individuals experience a decrease in COVID-19 concern over time, despite their risk for infection remaining stable, or even increasing. Individual differences in the experience of pandemic fatigue may have important implications for people’s adherence to public health recommendations. Design and methods: Using data collected from a large community cohort in McLennan County, TX, longitudinal changes in COVID-19-related concern, stress, and affect across three appointments separated by approximately 4 weeks (July–November 2020) were examined. About 495, 349, and 286 participants completed one, two, and three appointments, respectively. Changes to stress physiology and local travel over time were also analyzed. Results: Results of a latent class growth analysis revealed four distinct classes of individuals: (a) low concern, low stress, (b) moderate concern, moderate stress, (c) moderate concern, low stress, and (d) high concern, high stress. Despite differences between latent classes in initial levels of concern, stress, and negative affect, levels of each variable decreased over time for all groups. While this reduction of concern did not coincide with changes in local travel, it was reflected in heart rate and blood pressure. Conclusions: Together, these results suggest a general trend of pandemic fatigue in the sample, even for those with moderate-to-high levels of initial COVID-19 stress and concern. Such findings may provide insights into the expected challenges of promoting compliance with public health recommendations as the pandemic continues.
关键词：enPandemic fatigueCOVID fatigueCOVID-19growth mixture modelinglatent class analysis