Abnormal illness behaviour: physiological, psychological and social dimensions of coping with distress
Bibliographic record
Abstract
PURPOSE OF REVIEW: Pilowsky introduced the term 'abnormal illness behaviour' to characterize syndromes of excessive or inadequate response to symptoms, including hypochondriasis, somatization, and denial of illness. This review summarizes recent work from sociology, health psychology and psychiatry that contributes to an understanding of the processes that may underlie abnormal illness behaviour. RECENT FINDINGS: Disturbances in the regulation of physiological systems may account for many 'unexplained' symptoms and sickness behaviour. Increased attention to bodily sensations, sensitivity to pain and catastrophizing play important roles in illness behaviour in medical illness. Developmental adversities and parental modelling of illness behaviour in childhood may increase bodily preoccupation and health care utilization. Apparent cross-national differences in illness behaviour may reflect differences in health care systems, but cultural models of illness and social stigma remain important determinants of illness denial and avoidance of mental health services. SUMMARY: Research into illness behaviour is relevant to efforts to rethink the psychiatric nosology of somatoform disorders. The discrete somatoform disorders might well be replaced by a dimensional framework that identifies specific pathological processes in cognition, perception and social behaviour that contribute to bodily distress, impaired coping, inappropriate use of health services, chronicity and disability.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".