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

JMIR Theme Issue: COVID-19 Special Issue (2388) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (371) Outbreak and Pandemic Preparedness and Management (1673) Infectious Diseases (non-STD/STI) (1478) Anxiety and Stress Disorders (999) Depression and Mood Disorders; Suicide Prevention (1271) Information Seeking, Information Needs (419)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24412, first published .
Factors Influencing Anxiety Among WeChat Users During the Early Stages of the COVID-19 Pandemic in Mainland China: Cross-sectional Survey Study

Factors Influencing Anxiety Among WeChat Users During the Early Stages of the COVID-19 Pandemic in Mainland China: Cross-sectional Survey Study

Factors Influencing Anxiety Among WeChat Users During the Early Stages of the COVID-19 Pandemic in Mainland China: Cross-sectional Survey Study

Authors of this article:

Changqing Zou1 Author Orcid Image ;   Weiyu Zhang2 Author Orcid Image ;   Kristin Sznajder3 Author Orcid Image ;   Fengzhi Yang2 Author Orcid Image ;   Yajing Jia2 Author Orcid Image ;   Ruqing Ma2 Author Orcid Image ;   Can Cui2 Author Orcid Image ;   Xiaoshi Yang2 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

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  2. Zhang S, He J, Yang Q, Du Y, Xiao W, Gao J, Li H. Anxiety during the COVID‐19 pandemic in prisoners who had high risks to suffer from mood disorders: A longitudinal study before and during the COVID‐19. Stress and Health 2023;39(1):162 View
  3. Xia Y, Wang Q, Shi L, Shi Z, Chang J, Xu R, Miao H, Wang D. Prevalence and risk factors of COVID-19-related generalized anxiety disorder among the general public in China: a cross-sectional study. PeerJ 2023;11:e14720 View
  4. Liu A, Zhang J, Wu Q, Zhang Y, van Velthoven M. Comparison of the agreement between WeChat-based self-administered and interviewer-administered data on infant and young child feeding in China: A test-retest study. Journal of Global Health 2022;12 View
  5. Huang Q, Lei S, Ni B. Perceived Information Overload and Unverified Information Sharing on WeChat Amid the COVID-19 Pandemic: A Moderated Mediation Model of Anxiety and Perceived Herd. Frontiers in Psychology 2022;13 View
  6. Delpino F, da Silva C, Jerônimo J, Mulling E, da Cunha L, Weymar M, Alt R, Caputo E, Feter N. Prevalence of anxiety during the COVID-19 pandemic: A systematic review and meta-analysis of over 2 million people. Journal of Affective Disorders 2022;318:272 View
  7. Liu C, Yang H, Hao Z, Li J. The relationship between social anxiety and problematic smartphone use: a chain mediation model. Current Psychology 2024;43(5):4168 View
  8. Pang Q, Wang L, Yao J, Yuen K, Su M, Fang M. Smoking cessation policy and treatments derived from the protective motivation of smokers: a study on graphic health warning labels. Frontiers in Psychology 2023;14 View
  9. Yu T, Gao M, Sun G, Graffigna G, Liu S, Wang J. Cardiac rehabilitation engagement and associated factors among heart failure patients: a cross-sectional study. BMC Cardiovascular Disorders 2023;23(1) View
  10. Macaluso M, Rothenberg M, Ferkol T, Kuhnell P, Kaminski H, Kimberlin D, Benatar M, Chehade M. Impact of the COVID-19 Pandemic on People Living With Rare Diseases and Their Families: Results of a National Survey. JMIR Public Health and Surveillance 2024;10:e48430 View