ArticleFrontiers in psychology2021
The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- The association between digital health information acquisition and health-seeking behavior among university students.BMC medical education · 2026Article
- eHealth literacy, cyberchondria and perceived stress among older adults in primary care: a cross-sectional study.BMC geriatrics · 2026Article
- Cyberchondria among college students and associated factors: a latent profile analysis.Scientific reports · 2026Article
- Trends in the Implementation of the Cyberchondria Severity Scale: Bibliometric Analysis.JMIR mental health · 2026Article
- Prevalence and Associated Factors of Cyberchondria: A Scoping Review.TheScientificWorldJournal · 2026Article
- Self-care strategies and interventions to address antimicrobial resistance: evidence review and recommendations for national programs, service providers, caregivers, and self-carers.Frontiers in public health · 2026Review
- Impact of Cyberchondria on Health and Quality of Life: Scoping Review.Journal of medical Internet research · 2025Article
- Health Literacy and Sociodemographic Determinants of Cyberchondria: A Cross-Sectional Study Among Outpatients of a University Hospital in Turkey.Healthcare (Basel, Switzerland) · 2025Article
- Cyberchondria and Health Anxiety in Patients Visiting Hematology Outpatient Clinic: Reflection of Digitalisation.Journal of clinical medicine · 2025Article
- The Relationship Between E-Health Literacy, Health Anxiety, Cyberchondria, and Death Anxiety in University Students That Study in Health Related Department.Journal of multidisciplinary healthcare · 2025Article
- Between access and anxiety: the paradox of digital mental health literacy.Frontiers in psychiatry · 2025Article
- Moderating Effect of Coping Strategies on the Association Between the Infodemic-Driven Overuse of Health Care Services and Cyberchondria and Anxiety: Partial Least Squares Structural Equation Modeling Study.Journal of medical Internet research · 2024Article
- Cyberchondria and smartphone addiction: A correlation survey among undergraduate medical students in Egypt.The Journal of the Egyptian Public Health Association · 2024Article
- The Moderating Role of Health Literacy and Health Promoting Behavior in the Relationship Among Health Anxiety, Emotional Regulation, and Cyberchondria.Psychology research and behavior management · 2024Article
- Structural Validation and Measurement Invariance Testing of the Chinese Version of the eHealth Literacy Scale Among Undergraduates: Cross-Sectional Study.Journal of medical Internet research · 2023Article
- Article
- Cyberchondria: a Growing Concern During the COVID-19 Pandemic and a Possible Addictive Disorder?Current addiction reports · 2023Review
- New challenges in facing cyberchondria during the coronavirus disease pandemic.Current opinion in behavioral sciences · 2022Review
- Status and Influencing Factors of Social Media Addiction in Chinese Medical Care Professionals: A Cross-Sectional Survey.Frontiers in psychology · 2022Article
- Cyberchondria and its Association with Smartphone Addiction and Electronic Health Literacy among a Saudi Population.Saudi journal of medicine & medical sciencesArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Cyberchondria is considered "the anxiety-amplifying effects of online health-related searches." During the COVID-19 pandemic, people are likely to search health-related information online for reassurance because of fear and related physical symptoms, while cyberchondria may be triggered due to the escalation of health anxiety, different online seeking behavior preference, information overload, and insufficient e-health literacy. This study aimed to investigate the status and influencing factors of cyberchondria in residents in China during the epidemic period of COVID-19. The participants were 674 community residents of Nanyang city surveyed from February 1 to 15, 2020. We administered online measures, including the Chinese Short Form of the Cyberchondria Severity Scale (C-CSS-12), Short Health Anxiety Inventory (SHAI), eHealth Literacy Scale (eHEALS), Patient Health Questionnaire-15 (PHQ-15), and COVID-19-related online information seeking behavior questionnaire. In our study, the average C-CSS-12 total score of residents was 30.65 ± 11.53 during the virus epidemic; 25% of participants scored 22 or below, 50% scored 23 to 38, and 21.9% scored 39 to 60. The SHAI total score (β = 0.598 > 0,
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