ArticleJMIR formative research2023
Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning.
Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 20 citations in OpenAlex.
- Cyberchondria-Related Behaviors Among Undergraduate Female Healthcare Students: A Descriptive and Exploratory Study of CSS-12 Dimensions and Demographic Characteristics.Healthcare (Basel, Switzerland) · 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
- Cyberchondria and complexity: a systems-level exploration of anxiety and informational instability in the digital age.Frontiers in psychology · 2026Review
- Prevalence and Associated Factors of Cyberchondria: A Scoping Review.TheScientificWorldJournal · 2026Article
- Impact of Cyberchondria on Health and Quality of Life: Scoping Review.Journal of medical Internet research · 2025Article
- "Dr. Google" consultation and health anxiety among primary healthcare patients: The mediation effect of health literacy.PloS one · 2025Article
- Article
- Unraveling the relationships among pandemic fear, cyberchondria, and alexithymia after China's exit from the zero-COVID policy: insights from a multi-center network analysis.Frontiers in psychiatry · 2024Article
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11 authors at 7 institutions in 6 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCyberchondria is characterized by repeated and compulsive online searches for health information, resulting in increased health anxiety and distress. It has been conceptualized as a multidimensional construct fueled by both anxiety and compulsivity-related factors and described as a "transdiagnostic compulsive behavioral syndrome," which is associated with health anxiety, problematic internet use, and obsessive-compulsive symptoms. Cyberchondria is not included in the International Classification of Diseases 11th Revision or the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and its defining features, etiological mechanisms, and assessment continue to be debated.
objectiveThis study aims to investigate changes in the severity of cyberchondria during the COVID-19 pandemic and identify the predictors of cyberchondria at this time.
methodsData collection started on May 4, 2020, and ended on June 10, 2020, which corresponds to the first wave of the COVID-19 pandemic in Europe. At the time the study took place, French-speaking countries in Europe (France, Switzerland, Belgium, and Luxembourg) all implemented lockdown or semilockdown measures. The survey consisted of a questionnaire collecting demographic information (sex, age, education level, and country of residence) and information about socioeconomic circumstances during the first lockdown (eg, economic situation, housing, and employment status) and was followed by several instruments assessing various psychological and health-related constructs. Inclusion criteria for the study were being at least 18 years of age and having a good understanding of French. Self-report data were collected from 725 participants aged 18-77 (mean 33.29, SD 12.88) years, with females constituting the majority (416/725, 57.4%).
resultsThe results showed that the COVID-19 pandemic affected various facets of cyberchondria: cyberchondria-related distress and compulsion increased (distress z=-3.651, P<.001; compulsion z=-5.697, P<.001), whereas the reassurance facet of cyberchondria decreased (z=-6.680, P<.001). In addition, COVID-19-related fears and health anxiety emerged as the strongest predictors of cyberchondria-related distress and interference with functioning during the pandemic.
conclusionsThese findings provide evidence of the impact of the COVID-19 pandemic on cyberchondria and identify factors that should be considered in efforts to prevent and manage cyberchondria at times of public health crises. In addition, they are consistent with a theoretical model of cyberchondria during the COVID-19 pandemic proposed in 2020. These findings have implications for the conceptualization and future assessment of cyberchondria.
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