1 Institute of Psychology, Health and Society, University of Liverpool, Liverpool, United Kingdom.
2 Business and Management Research Institute, Ulster University, Londonderry, United Kingdom.
Cyberpsychol Behav Soc Netw. 2019 May;22(5):330-335. doi: 10.1089/cyber.2018.0624. Epub 2019 Apr 23.
Cyberchondria is defined as an increase in anxiety about one's health status as a result of excessive online searches. McElroy and Shevlin (2014) developed the first multidimensional, self-report measure of this construct-the Cyberchondria Severity Scale (CSS). The CSS consists of 33 items which can be summed to form a total score, and/or 5 subscale scores. The aim of the present study was to develop a short-form version of the CSS, removing the "Mistrust" subscale. Participants were undergraduate students from two UK universities ( = 661, 73% female, = 22.19 years, = 5.88). Students completed the CSS, Short Health Anxiety Inventory (SHAI) and Generalized Anxiety Disorder Assessment (GAD-7). Twelve items were chosen for retention in the short form based on an exploratory factor analysis. These items corresponded to the four factors previously identified in the 33-item scale (minus the "Mistrust" subscale). Confirmatory factor analysis was used to validate the structure of the CSS-12. Confirmatory bifactor modeling indicated that the majority of item covariance was accounted for by a general cyberchondria factor. Construct validity was assessed by examining associations with the SHAI and GAD-7, with stronger correlations observed between the CSS-12 and the SHAI (compared with the GAD-7). The CSS-12 is a brief, reliable, and valid measure of worry/anxiety attributable to excessive online health research.
网络疑病症被定义为由于过度的在线搜索而对健康状况的焦虑增加。McElroy 和 Shevlin（2014）开发了第一个多维的、自我报告的这种结构的测量方法——网络疑病症严重程度量表（CSS）。CSS 由 33 个项目组成，可以相加得出总分，和/或 5 个分量表得分。本研究的目的是开发 CSS 的简短版本，删除“不信任”分量表。参与者是来自英国两所大学的本科生（ = 661，73%为女性， = 22.19 岁， = 5.88）。学生们完成了 CSS、简短健康焦虑量表（SHAI）和广泛性焦虑症评估量表（GAD-7）。根据探索性因素分析，选择了 12 个项目保留在简短形式中。这些项目对应于之前在 33 项量表中确定的四个因素（减去“不信任”分量表）。验证性因素分析用于验证 CSS-12 的结构。验证性双因素模型表明，大多数项目的协方差由一般的网络疑病症因素决定。结构效度通过检查与 SHAI 和 GAD-7 的关联来评估，CSS-12 与 SHAI 之间的相关性更强（与 GAD-7 相比）。CSS-12 是一种简短、可靠和有效的测量方法，用于衡量由于过度的在线健康研究而引起的担忧/焦虑。
