Childhood Maltreatment and Migraine (Part I). Prevalence and Adult Revictimization: A Multicenter Headache Clinic Survey
Bibliographic record
Abstract
OBJECTIVES: To examine the prevalence of childhood maltreatment and adult revictimization in migraineurs and the association with sociodemographic factors, depression and anxiety. BACKGROUND: Population and practice-based studies have demonstrated an association of childhood abuse and headache in adults, although further details on headache diagnoses, characteristics, and comorbid conditions are lacking. There are mounting data suggesting substantial impact of early maltreatment on adult physical and mental health. METHODS: Electronic surveys were completed by patients seeking treatment in 11 headache centers across the United States and Canada. Physicians determined the primary headache diagnoses based on the International Classification of Headache Disorders-2 criteria and average monthly headache frequency. Self-reported information on demographics (including body mass index), social history, and physician-diagnosed depression and anxiety was collected. The survey also included validated screening measures for current depression (Patient Health Questionnaire-9) and anxiety (The Beck Anxiety Inventory). History and severity of childhood (<18 years) abuse (sexual, emotional, and physical) and neglect (emotional and physical) was gathered using the Childhood Trauma Questionnaire. There were also queries regarding adult physical and sexual abuse, including age of occurrence. Analysis includes all persons with migraine with aura, and migraine without aura. RESULTS: A total of 1348 migraineurs (88% women) were included (mean age 41 years). Diagnosis of migraine with aura was recorded in 40% and chronic headache (>or=15 days/month) was reported by 34%. The prevalence of childhood maltreatment types was as follows: physical abuse 21%, sexual abuse 25%, emotional abuse 38%, physical neglect 22%, and emotional neglect 38%. Nine percent reported all 3 categories of childhood abuse (physical, sexual, and emotional) and 17% reported both physical and emotional neglect. Overlap between maltreatment types ranged between 40% and 81%. Of those reporting childhood abuse, 43% reported abuse in adulthood, but infrequently (17%) over the age of 30 years. In logistic regression models adjusted for sociodemographic variables, current depression was associated with physical (P = .003), sexual (P = .007), and emotional abuse (P < .001), and physical and emotional neglect (P = .001 for both). Current anxiety was also associated with all childhood abuse and neglect categories (P < .001 for all). A graded relationship was observed between the number of childhood maltreatment types and remote or current depression and anxiety. In adjusted logistic regression analysis, migraineurs reporting 3 or more categories of childhood trauma were more likely to have received diagnoses of both depression and anxiety (odds ratios [OR] = 6.91, 95% confidence interval [CI]: 3.97-12.03), or either depression or anxiety (OR = 3.66, 95% CI: 2.28-5.88) as compared with those without childhood abuse or neglect. CONCLUSION: Reports of childhood maltreatment, especially emotional abuse and neglect, are prevalent in outpatients with migraine. There is extensive overlap of maltreatment types and a high rate of revictimization in adulthood. All types of childhood abuse and neglect are strongly associated with remote and current depression and anxiety, and the relationship strengthens with an increasing number of maltreatment types.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".