We sought to develop a brief Severe Acute Respiratory Syndrome Coronavirus 2-related worry (CoV-Wo) scale to understand COVID-19-related worry among adults in the United States. We also aimed to model key determinants of worry in the early stage of the COVID-19 pandemic in the United States. A total of 806 participants completed an online survey in late March 2020. Exploratory and confirmatory factor analyses assessed scale structure. Factor analysis stratified by depression was used to assess measurement invariance. Linear regression models examined COVID-19-related worry determinants. The CoV-Wo scale exhibited good reliability (α = 0.80) and a two-factor structure: health (α = 0.83) and resources (α = 0.71). The full scale and both subscales were higher among participants who stopped working due to COVID-19 and those with depression. Perception of quality medical care if infected with COVID-19 was associated with reduced worry. The CoV-Wo scale is a low burden assessment of COVID-19-related worry, that captures common worries in domains affected by COVID-19 and can be used to develop psychosocial resources.

中文翻译：

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使用美国居民中的 SARS-CoV-19 担忧 (CoV-Wo) 量表来确定担忧的决定因素

我们试图制定一个简短的与严重急性呼吸系统综合症冠状病毒 2 相关的担忧 (CoV-Wo) 量表，以了解美国成年人与 COVID-19 相关的担忧。我们还旨在对美国 COVID-19 大流行早期阶段担忧的关键决定因素进行建模。2020 年 3 月下旬，共有 806 名参与者完成了在线调查。探索性和验证性因素分析评估了量表结构。按抑郁分层的因子分析用于评估测量的不变性。线性回归模型检查了与 COVID-19 相关的担忧决定因素。CoV-Wo量表表现出良好的可靠性（α  = 0.80）和双因素结构：健康（α  = 0.83）和资源（α  = 0.71）。因 COVID-19 停止工作的参与者和患有抑郁症的参与者的总量表和两个分量表均较高。如果感染了 COVID-19，对优质医疗护理的认知会减少担忧。CoV-Wo 量表是对与 COVID-19 相关的担忧的低负担评估，它捕获了受 COVID-19 影响的领域中的常见担忧，可用于开发社会心理资源。