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Social Isolation Model: A Noninvasive Rodent Model of Stress and Anxiety
Published on: November 11, 2022
Linguistic analysis of health anxiety during the COVID-19 pandemic
Alexandra D Peterson1, Mindy M Kibbey2, Samantha G Farris2
1Graduate School of Applied and Professional Psychology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Abstract:
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.
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