P.051 Early life stress in adolescent migraine and the mediational influence of internalizing psychopathology in a Canadian cohort
Bibliographic record
Abstract
Background: This study sought to examine the association between early life stressors and adolescent headache and the potential mediating influence of internalizing psychopathology. Methods: This study used data from 2,313 respondents of the National Longitudinal Survey of Children and Youth, followed prospectively from age 0-1 years at baseline (1994/1995) until age 14-15 years (2008/2009). The relationships between four measures of early life family level stressors, and outcomes of incident health professional diagnosed migraine and self-reported, unclassified frequent headache (>1 per week) were examined using multivariable logistic regression. Mediation analyses of the indirect effect of internalizing psychopathology (i.e., depression and anxiety symptoms) were examined using a regression-based path analytical framework. Results: There were 81 adolescents with incident migraine and 231 with frequent headache. There were no direct associations between early life family level factors and adolescent headache (p > .05). Internalizing psychopathology mediated relationships between family dysfunction (indirect effect [IE] 0.0181, 95% bias-corrected confidence interval [CIBC] 0.0001-0.0570), punitive parenting (IE 0.0241, 95% CIBC 0.0015-0.0633), parental depressive symptomatology (IE 0.0416, 95% CIBC 0.0017-0.0861), and incident migraine, but not frequent headache. Conclusions: Findings provide support for the influence of early life family level factors on prospective risk of developing migraine through internalizing psychopathology.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".