This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Anxiety and Stress Disorders (1053) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26285, first published .
Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

Authors of this article:

Xue Wu1 Author Orcid Image ;   Nabi Nazari2 Author Orcid Image ;   Mark D Griffiths3 Author Orcid Image
Article Authors Cited by (42) Tweetations (21) Metrics

Xue Wu   1 , PhD ;   Nabi Nazari   2 , PhD ;   Mark D Griffiths   3 , PhD

1 School of Economics and Management, Kaili University, Guizhou, China

2 Department of Psychology, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran

3 International Gaming Research Unit, Psychology Division, Nottingham Trent University, Nottingham, United Kingdom

Corresponding Author:

  • Nabi Nazari, PhD
  • Department of Psychology
  • Faculty of Literature and Human Sciences
  • Lorestan University
  • P. O. Box 465
  • Khorramabad
  • Iran
  • Phone: 98 09197119027
  • Fax: 98 6123986253
  • Email: Nazariirani@gmail.com