School of Medicine, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru.
Research Department of Primary Care and Population Health, University College London (UCL), London, United Kingdom.
PLoS One. 2023 Oct 5;18(10):e0292459. doi: 10.1371/journal.pone.0292459. eCollection 2023.
Cyberchondria is defined as the increase in health-related anxiety or anguish associated with excessive or repeated online searches for health-related information. Our objective was to cross-culturally adapt and validate the CSS-12 scale for Peruvian Spanish speakers, to determine whether the Bifactor model works as well in our population as in previous studies' and to explore whether the Bifactor-ESEM is a more suitable model.
We performed a cultural adaptation using the Delphi method and a validation study on medical students between 2018 and 2019. Reliability was evaluated by using Cronbach's alpha (α) and McDonald's omega (Ω) for internal consistency, and Pearson's r and intraclass correlation coefficient (ICC), for test-retest reliability. We evaluated construct validity by contrasting four measurement models for the CSS-12 and the convergent validity against health anxiety.
The Spanish CSS-12 showed excellent reliability (α = .93; Ω = .93; ICC = .93; r = .96). The Bifactor ESEM model showed the best fit, supporting a unidimensional measure of the general cyberchondria. This measure was positively associated with health anxiety (r = .51).
The Spanish CSS-12 provides a valid and reliable unidimensional measure of cyberchondria, which is distinguishable from the more general health anxiety. This can be applied to similar populations and future research. The Bifactor-ESEM model appears to offer a more accurate and realistic representation of the multifaceted nature of cyberchondria. We provide a free-to-use form of the Spanish CSS-12 as supplemental material.
网络疑病症被定义为与过度或反复搜索健康相关信息相关的健康相关焦虑或痛苦的增加。我们的目的是跨文化适应和验证 CSS-12 量表,以确定双因素模型在我们的人群中的表现是否与以前的研究一样好,并探讨双因素-ESEM 是否是一个更合适的模型。
我们使用德尔菲法进行文化适应,并在 2018 年至 2019 年期间对医学生进行验证研究。通过使用 Cronbach's alpha (α) 和 McDonald's omega (Ω) 进行内部一致性评估,以及 Pearson's r 和组内相关系数 (ICC) 进行测试-重测可靠性评估来评估可靠性。我们通过对比 CSS-12 的四个测量模型和与健康焦虑的收敛有效性来评估结构有效性。
西班牙语版 CSS-12 显示出良好的可靠性(α=0.93;Ω=0.93;ICC=0.93;r=0.96)。双因素 ESEM 模型表现出最佳拟合,支持一般网络疑病症的单一维度测量。该测量与健康焦虑呈正相关(r=0.51)。
西班牙语版 CSS-12 提供了一种有效且可靠的网络疑病症单一维度测量方法,可与更普遍的健康焦虑区分开来。这可以应用于类似的人群和未来的研究。双因素-ESEM 模型似乎提供了对网络疑病症多方面性质的更准确和现实的表示。我们作为补充材料提供西班牙语版 CSS-12 的免费使用表单。