Graduate School of Applied and Professional Psychology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Department of Psychology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
PLoS One. 2024 Feb 26;19(2):e0299462. doi: 10.1371/journal.pone.0299462. eCollection 2024.
Health anxiety, which is defined as fear of having or contracting serious physical illness, is particularly salient in light of the COVID-19 pandemic. We conducted a mixed methods study in which 578 narrative samples were analyzed using Linguistic Inquiry and Word Count (LIWC) software to determine linguistic markers from six LIWC categories relevant to cognitive-behavioral features of health anxiety. Broad linguistic predictors were analyzed through three backward elimination regression models in order to inform subcategory predictors of each area of health anxiety. Thus, both broad and specific linguistic predictors of general health anxiety, virus-relevant body vigilance, and fears of viral contamination were examined. Greater use of affective category words in written narratives predicted general health anxiety, as well as body vigilance and viral contamination fears. These findings represent the first direct demonstration of linguistic analysis of health anxiety and provide nuanced information about the nature and etiology of health anxiety.
健康焦虑是指对患有或感染严重身体疾病的恐惧,在 COVID-19 大流行的背景下尤为明显。我们进行了一项混合方法研究,使用 Linguistic Inquiry and Word Count(LIWC)软件分析了 578 个叙事样本,以确定与健康焦虑的认知行为特征相关的六个 LIWC 类别中的语言标记。通过三个向后消除回归模型分析广泛的语言预测因子,以便为每个健康焦虑领域的子类别预测因子提供信息。因此,检查了一般健康焦虑、与病毒相关的身体警觉性和对病毒污染的恐惧的广泛和具体的语言预测因子。在书面叙述中更多地使用情感类别词预测一般健康焦虑以及身体警觉性和对病毒污染的恐惧。这些发现代表了对健康焦虑的语言分析的首次直接证明,并提供了有关健康焦虑的性质和病因的细致信息。