Headache Trigger Sensitivity and Avoidance after Mild Traumatic Brain Injury
Bibliographic record
Abstract
Most patients with primary headache disorders identify environmental stimuli (e.g., visual glare), situational factors (e.g., stress), physiological states (e.g., hormones), or activities (e.g., exercise) as triggers that elicit or worsen headache episodes. Headache triggers have not been previously studied in post-traumatic headache (PTH). The present study explored the frequency of headache triggers and their avoidance in PTH. Participants with mild traumatic brain injury (TBI) were recruited from outpatient specialty clinics and completed questionnaires at or soon after their initial clinic visit. The research assessment included a list of 12 possible headache triggers where participants were asked to rate sensitivity (how often they get a headache when exposed to the trigger) and avoidance (how often they try to avoid the trigger). Enrolled participants were 40.6 years old (standard deviation [SD] = 11.8 years) on average, predominantly female (69.8%) and Caucasian (69.8%), and injured in a motor vehicle crash (47.2%) or fall (20.8%). They were assessed at 9.4 weeks (SD = 6.8) post-injury. Most patients with mild TBI in this consecutive series (82.7%) reported ongoing headaches. Mental exertion, stress, and lack of sleep were rated as the most potent headache triggers and among the most frequently avoided. Odors or foods, hunger, and weather conditions were rated as the least potent triggers. Headache trigger sensitivity and avoidance were moderately correlated (r = 0.736, p < 0.001). Headache severity was more associated with trigger sensitivity [F(2,49) = 13.45, p < 0.001] than trigger avoidance [F(2,47) = 2.97, p = 0.062]. In summary, the pattern of headache triggers in persistent PTH after mild TBI appears somewhat different from that in primary headache disorders, with mental exertion emerging as uniquely important. Pervasive avoidance of mental exertion to prevent headaches (cogniphobia) might be a worthwhile behavioral intervention target after mild TBI.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".