Association Between Peer Victimization, Gender Diversity, Mental Health, and Recurrent Headaches in Adolescents
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: It is unknown whether bullying and gender diversity are associated with increased headache frequency in adolescents. Our study aimed to assess the association between peer victimization, gender diversity, and frequent recurrent headaches in adolescents, while controlling for age, sex, socioeconomic status, and potential confounders (mood and anxiety disorders, suicidality). METHODS: This was a cross-sectional observational study of adolescents aged 12-17 years using data from a Canadian population-based health survey. Headache frequency was dichotomized into "≤once/wk" or ">once/wk" (i.e., frequent recurrent headaches). Logistic regression was used to quantify the association between frequent peer victimization (overt or relational), gender diversity (female sex at birth + male gender, male sex at birth + female gender, or gender diverse), mood/anxiety disorder, suicidality, and the odds of frequent recurrent headaches. The fully adjusted multivariable logistic regression model included all exposures and was controlled for age, sex, and socioeconomic status. Bootstrap replicate weighting was used to account for survey design effects. RESULTS: There were an estimated 2,268,840 eligible participants (weighted sample size) (mean age = 14.4 years, 48.8% female, 0.5% gender diverse), and 11.2% reported frequent recurrent headaches. Frequent recurrent headaches were associated with older age (odds ratio [OR] = 1.26 per year of age, 95% CI 1.20-1.31), female sex (OR = 2.89, 95% CI 2.47-3.37), and being gender diverse (OR = 3.30, 95% CI 1.64-6.63, adjusted for age/sex). Youth with frequent headaches had higher odds of experiencing both overt and relational bullying compared with peers (OR = 2.69, 95% CI 2.31-3.14, and OR = 3.03, 95% CI 2.58-3.54, adjusted for age/sex). In the fully adjusted model, frequent headaches were no longer associated with gender diversity (OR = 1.53, 95% CI 0.63-3.69) but were still associated with frequent overt and relational peer victimization (OR = 1.82, 95% CI 1.41-2.34, and OR = 1.54, 95% CI 1.17-2.03, respectively), suicidality (OR = 1.83, 95% CI 1.44-2.32), and having a mood or anxiety disorder (OR = 1.50, 95% CI 1.01-2.21, and OR = 1.74, 95% CI 1.24-2.45, respectively). In a model adjusted for age, sex, and mood/anxiety disorders, the risk of suicidality increased incrementally with headache frequency. DISCUSSION: Peer victimization and suicidality may be associated with higher headache frequency in adolescents with headaches, independently of mood and anxiety symptoms. Gender-diverse adolescents may have a higher risk of experiencing frequent headaches when compared with cisgender peers, and this may be explained by associated psychosocial factors (anxiety, depression, suicidality, and peer victimization).
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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 | 0.003 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".