Annual Research Review: Health anxiety in children and adolescents—developmental aspects and cross‐generational influences
Bibliographic record
Abstract
Health anxiety involves excessive worries about one's health along with beliefs one has an illness or may contract a serious disease. Concerning evidence suggests that health anxiety is on the rise in society, possibly further fueled by the COVID-19 pandemic. Recent classification systems acknowledge that impairing health-related worries and beliefs can emerge in early childhood with significant levels of symptoms persisting throughout childhood, and possibly continuous with diagnostic considerations in adulthood. This narrative review summarizes recent research advances in health anxiety in children and adolescents, focusing on various developmental aspects of health anxiety and related concepts in youths. Findings suggest that health anxiety symptoms in young age groups are associated with impairment, distress, and increased healthcare use, as well as substantial comorbidity with mainly other emotional problems and disorders. Furthermore, longitudinal studies suggest that childhood health anxiety can persist across adolescence, perhaps with links to chronic courses in adulthood. The growing literature was further reviewed, thus extending our understanding of early risk factors, including the potential role of exposure to serious illness and transgenerational transmission of health anxiety. Learning more about developmental trajectories will be highly relevant to inform strategies for early detection and prevention. While modified cognitive behavioral therapies in adults are successful in treating health anxiety, specific interventions have not yet been tested in youths. Given substantial overlaps with other psychopathology, it could be important to develop and explore more transdiagnostic and scalable approaches that take advantage of common factors in psychotherapy, while also including a wider perspective on potential familiar maladaptive illness cognitions and behaviors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".