Childhood Maltreatment and Somatic Symptoms in Adulthood: Establishing a New Research Pathway
Bibliographic record
Abstract
BACKGROUND: Somatic symptoms, such as chronic pain, fatigue, and gastrointestinal disturbances, are commonly reported in individuals with a history of childhood maltreatment (CM), which includes various forms of abuse and neglect experienced before age 18. Although CM is strongly associated with somatic symptoms, the specific relationships between CM subtypes and these symptoms, as well as the mechanisms connecting them, remain insufficiently understood. This review examines the complex interaction between CM and somatic symptoms, which often coexist with mental disorders and significantly impact quality of life and healthcare systems. SUMMARY: Somatic symptoms, frequently a mix of "explained" and "unexplained" conditions, are associated with personal distress and pose diagnostic challenges. CM has been linked to these symptoms through neurobiological mechanisms, such as HPA axis dysregulation and allostatic load, while theoretical models emphasize the roles of hyperawareness, cultural factors, and vulnerability in symptom development. However, existing research often fails to account for specific CM subtypes, the full range of somatic symptoms, and cultural and situational factors, leading to inconsistencies in findings. KEY MESSAGES: Bridging gaps in literature requires adopting the World Health Organization's CM subtype definitions and ICD-11 codes (MA00-MH2Y) to encompass a broader spectrum of somatic symptoms. Employing rigorous methodologies, such as systematic reviews and meta-analyses, is essential for advancing understanding. These approaches can enhance diagnostic accuracy, support tailored interventions, and promote a biopsychosocial framework for CM research, ultimately improving patient outcomes and alleviating societal burdens.
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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 | 0.025 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.006 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".