ReviewFrontiers in psychology2026
Cyberchondria and complexity: a systems-level exploration of anxiety and informational instability in the digital age.
Review in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Alexithymia and Cyberchondria: A Scoping Review with Implications for Healthcare Contexts.Healthcare (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cyberchondria, defined as excessive or compulsive online searching for health-related information, has emerged as a paradigmatic condition at the intersection of health anxiety, digital behavior, and cognitive vulnerability. Increasingly observed in clinical settings, it reflects a maladaptive strategy to manage uncertainty and bodily symptoms, exacerbated by algorithm-driven content, emotional salience, and informational overload in digital environments. Cyberchondria may have important implications for medical outcomes, including inappropriate healthcare utilization, reduced adherence to medical advice, disruption of the doctor-patient relationship, and impaired quality of life, especially in individuals managing chronic or recurrent health conditions. Aim: This article proposes an integrative framework for understanding cyberchondria that combines clinical psychology, cognitive science, and complexity theory. We argue that cyberchondria should not be viewed solely as an individual pathology, but as an emergent property of a dynamic system destabilized by recursive feedback loops, epistemic instability, and algorithmic bias. Methods: A narrative synthesis of empirical and theoretical literature was conducted, drawing from studies on health anxiety, online behavior, metacognition, and systemic models of mental disorders. Sources were selected from PubMed, Scopus, and interdisciplinary publications in psychiatry, cognitive science, and digital ethics. Results: Cyberchondria is consistently associated with intolerance of uncertainty, reassurance-seeking, and dysfunctional metacognitive beliefs. Its persistence is sustained by cognitive distortions and by the structure of digital health information, which prioritizes emotionally salient or sensational content over clinical reliability. The phenomenon can be theoretically modelled using concepts such as psychological entropy, nonlinear amplification, and cognitive decoherence under informational stress. Conclusion: Effective responses to cyberchondria must operate across multiple levels: psychological (CBT and metacognitive strategies), educational (digital health literacy), relational (doctor-patient alliance), and systemic (ethical design of digital platforms). Integrating complexity-based perspectives may offer new pathways for understanding and mitigating the destabilizing effects of cyberchondria in the digital age.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.