ArticleCurrent psychology (New Brunswick, N.J.)2022
Health anxiety model of cyberchondria, fears, obsessions, sleep quality, and negative affect during COVID-19.
Article in Current psychology (New Brunswick, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 32 citations in OpenAlex.
- Techno-Hypochondria: A Concept Analysis of Wearable Technology-Induced Health Anxiety Among Healthcare Professionals-Implications for Nursing Management.Healthcare (Basel, Switzerland) · 2026Article
- The mediating and moderating role of COVID-19 coping attitudes in the relationship between coronavirus anxiety and cyberchondria.BMC psychology · 2026Article
- Cyberchondria, Health Anxiety, and Sleep Quality: An Observational Cross-Sectional Study of Adults with and Without Psychosomatic Disorders.Healthcare (Basel, Switzerland) · 2026Article
- Trends in the Implementation of the Cyberchondria Severity Scale: Bibliometric Analysis.JMIR mental health · 2026Article
- Impact of Cyberchondria on Health and Quality of Life: Scoping Review.Journal of medical Internet research · 2025Article
- Mindfulness Intervention for Health Information Avoidance in Older Adults: Mixed Methods Study.JMIR public health and surveillance · 2025Article
- How loneliness impacts depression among Chinese college students throughout COVID-19: mediators of death anxiety and negative affect.Frontiers in psychiatry · 2025Article
- The Relationship between Cyberchondria and Health Anxiety and the Moderating Role of Health Literacy among the Pakistani Public.International journal of environmental research and public health · 2024Article
- The prevalence and determinants of health anxiety during the covid-19 pandemic: A systematic review and meta-analysis.PLOS mental health · 2024Article
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- Health-Related Cognitions and Metacognitions Indirectly Contribute to the Relationships Between Impulsivity, Fear of COVID-19, and Cyberchondria.Journal of rational-emotive and cognitive-behavior therapy : RET · 2023Article
- Cyberchondria: a Growing Concern During the COVID-19 Pandemic and a Possible Addictive Disorder?Current addiction reports · 2023Review
- Relationships between fear of COVID-19, cyberchondria, intolerance of uncertainty, and obsessional probabilistic inferences: A structural equation model.Scandinavian journal of psychology · 2022Article
- Impact of Coronavirus-2019 on General Health Anxiety Among Students of Iranian Medical Sciences : COVID-19 and Students' Anxiety.Galen medical journal · 2022Article
- Cyberchondria, but not preventive behavior, mediates the relationship between fear of COVID-19 and somatic burden: Evidence from Russia.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to explore the relationships among cyberchondria, fear of COVID-19, health anxiety, obsessions, sleep quality, and negative affect in a national community sample of Turkish participants. A sample of 8,276 volunteers, aged between 18 and 65, were recruited via an online platform. The Perceived Vulnerability about Diseases Questionnaire, Fear of COVID-19 Scale, Cyberchondria Severity Scale, Short Health Anxiety Inventory, Depression Stress Anxiety Scale-21, Obsessive-Compulsive Inventory-Revised, and Pittsburgh Sleep Quality Index were completed by participants. Data were analyzed using mixture structural equation modelling approach. Results revealed that perceived vulnerability to disease was found to be positively related with cyberchondria, poor sleep quality, health anxiety, and obsessive-compulsive symptoms. Negative affect was positively associated with obsessive-compulsive symptoms, fears of COVID-19, cyberchondria severity, and poor sleep quality. Additionally, fear of COVID-19 was positively related to health anxiety. Also, cyberchondria severity was found to be positively associated with poor sleep quality and obsessive-compulsive symptoms. Mixture analysis classified participants into six latent classes: 1) Risk-Aversive Healthy Group, 2) Incautious Healthy Group, 3) Infection Obsessions Group, 4) Health Anxiety Group, 5) Negative Affect Group, and 6) General Psychopathology Group. The national survey data showed that perceived vulnerability to diseases, negative affect, fear of COVID-19, cyberchondria, health anxiety, obsessive-compulsive symptoms, and sleep quality appeared to be at the center of pandemic health anxiety.
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