Using fear and anxiety related to COVID-19 to predict cyberchondria: cross-sectional survey study

Wu, X., Nazari, N. and Griffiths, M.D. ORCID: 0000-0001-8880-6524, 2021. Using fear and anxiety related to COVID-19 to predict cyberchondria: cross-sectional survey study. Journal of Medical Internet Research, 23 (6): e26285. ISSN 1439-4456

[img]
Preview
Text
1444932_Griffiths.pdf - Published version

Download (854kB) | Preview

Abstract

Background: Studies have highlighted that fear and anxiety generated by COVID-19 are important psychological factors that affect all populations. There currently remains a lack of research on specific amplification factors regarding fear and anxiety in the context of the COVID-19 pandemic. Despite established associations between anxiety sensitivity, intolerance of uncertainty, and cyberchondria, empirical data investigating the associations between these three variables, particularly in the context of the COVID-19 pandemic, are currently lacking. Urgent research is needed to better understand the role of repeated media consumption concerning COVID-19 in amplifying fear and anxiety related to COVID-19.

Objective: This study investigated the associations between fear of COVID-19, COVID-19 anxiety, and cyberchondria.

Methods: Convenience sampling was used to recruit respondents to participate in an online survey. The survey, which was distributed via social media and academic forums, comprised the Cyberchondria Severity Scale, Fear of COVID-19 Scale, Coronavirus Anxiety Scale, Anxiety Sensitivity Index, and Intolerance of Uncertainty Scale. Multiple mediation analyses were conducted using structural equation modeling.

Results: A total of 694 respondents (males: n=343, females: n=351) completed the online survey. The results showed that fear and anxiety generated by COVID-19 predicted cyberchondria (fear: β=.39, SE 0.04, P<.001, t=11.16, 95% CI 0.31-0.45; anxiety: β=.25, SE 0.03, P<.001, t=7.67, 95% CI 0.19-0.32). In addition, intolerance of uncertainty and anxiety sensitivity mediated the relationship between fear and anxiety generated by COVID-19 with cyberchondria. In a reciprocal model, the standardized total effects of cyberchondria on fear of COVID-19 (β=.45, SE 0.04, P<.001, t=15.31, 95% CI 0.39-0.51) and COVID-19 anxiety (β=.36, SE 0.03, P<.001, t=11.29, 95% CI 0.30-0.41) were statistically significant, with moderate effect sizes. Compared to males, females obtained significantly higher scores for cyberchondria (t1,692=–2.85, P=.004, Cohen d=0.22), COVID-19 anxiety (t1,692=–3.32, P<.001, Cohen d=0.26), and anxiety sensitivity (t1,692=–3.69, P<.001, Cohen d=0.29).

Conclusions: The findings provide a better understanding of the role of COVID-19 in amplifying cyberchondria. Based on these results, cyberchondria must be viewed as a significant public health issue. Importantly, increasing awareness about cyberchondria and online behavior at both the individual and collective levels must be prioritized to enhance preparedness and to reduce the adverse effects of current and future medical crises.

Item Type: Journal article
Publication Title: Journal of Medical Internet Research
Creators: Wu, X., Nazari, N. and Griffiths, M.D.
Publisher: JMIR Publications Inc.
Date: 9 June 2021
Volume: 23
Number: 6
ISSN: 1439-4456
Identifiers:
NumberType
10.2196/26285DOI
34014833PubMed ID
1444932Other
Rights: ©Xue Wu, Nabi Nazari, Mark D Griffiths. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.06.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
Divisions: Schools > School of Social Sciences
Record created by: Linda Sullivan
Date Added: 14 Jun 2021 08:32
Last Modified: 14 Jun 2021 08:32
URI: https://irep.ntu.ac.uk/id/eprint/43045

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year