Lifestyle factors, substance use, and frequent recurrent headaches in youth: Data from a Canadian population-based observational study (S41.004)
Bibliographic record
Abstract
Objective: To assess the association between lifestyle factors, substance use, and frequent recurrent headaches in youth. Background: We hypothesized that higher odds of frequent headaches would be associated with several lifestyle factors and frequent substance use in youth. Design/Methods: This was an observational study of youth aged 5–17 using data from a population-based health survey (2019 Canadian Health Survey on Children and Youth). Headache frequency was dichotomized as ‘about once a week or less’ or ‘>once a week’ (defined as frequent recurrent headaches). Logistic regression was used to quantify the association between frequent headaches and meal schedules, prolonged screen exposure (≥21h in past week), physical activity (≥60 minutes/day), chronotype, frequent substance use (alcohol ≥1/week, binge drinking ≥5 times in past month, daily smoking, daily e-cigarettes, daily cannabis), and exposure to daily smoking in the household, unadjusted and adjusted for age and sex. Design effects were addressed using bootstrap replicate weighting. Results: There were 4,978,370 youth (weighted sample size) (mean age=10.9 years, 48.8% females) and 6.1% had frequent headaches. Age and female sex were associated with frequent headaches (OR=1.31, 95%CI=1.28–1.34, and 2.39, 95%CI=2.08–2.75, respectively). In models adjusted for age/sex, the odds of frequent headaches decreased with meal regularity (OR=0.90, 95%CI=0.89–0.92) and increased with later chronotype (OR=1.10, 95%CI=1.05–1.15) and excess screen exposure (OR=2.97, 95%CI=1.53–5.77); there was no significant association with physical activity. In adolescents 12–17 years old, frequent headaches were associated with alcohol use (OR=3.50, 95%CI=2.18–5.62), binge drinking (OR=5.52, 95%CI=2.95–10.32), smoking cigarettes (OR=3.81, 95%CI=1.91–7.62), using e-cigarettes (OR=3.10, 95%CI=2.29–4.20), and cannabis use (OR=3.59, 95%CI=2.0–6.45). Smoking inside the house was associated with higher odds of frequent headaches in youth of all ages (OR=2.00, 95%CI=1.23–3.27). Conclusions: Lifestyle factors (meal irregularity, late chronotype, and prolonged screen exposure) were significantly associated with frequent headaches in a large sample of Canadian youth. Frequent substance use was associated with frequent headaches in adolescents. Disclosure: The institution of Dr. Orr has received research support from Alberta Children’s Hospital Research Institute. The institution of Dr. Orr has received research support from Canadian Institutes of Health Research. Dr. Orr has received publishing royalties from a publication relating to health care. Dr. Orr has a non-compensated relationship as a Associate Editor with Headache: The Journal of Head and Face Pain that is relevant to AAN interests or activities. Dr. Orr has a non-compensated relationship as a Editorial Board with Neurology that is relevant to AAN interests or activities. Ms. Nilles has received research support from French Gilles de la Tourette Association. Ms. Nilles has received research support from Owerko Centre of Alberta Children’s Hospital Research Institute. Ms. Nilles has received research support from Assistance Publique - Hôpitaux de Paris. Dr. Patten has received personal compensation in the range of $10,000-$49,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Canadian Psychiatric Association. Dr. Patten has received publishing royalties from a publication relating to health care. Jeanne Williams has nothing to disclose. The institution of Dr. Pringsheim has received research support from Maternal Newborn Child and Youth Strategic Clinical Network. The institution of Dr. Pringsheim has received research support from Owerko Center of Alberta Children’s Hospital Research Institute. The institution of Dr. Pringsheim has received research support from Canadian Institutes of Health Research. The institution of Dr. Pringsheim has received research support from Public Health Agency of Canada.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".