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Record W3016434888 · doi:10.1111/head.13808

The Role of Positive Health Behaviors in the Relationship Between Early Life Stress and Migraine

2020· article· en· W3016434888 on OpenAlexafffundabout
Nicole G. Hammond, Ian Colman

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2020
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsUniversity of Ottawa
FundersCanada Research Chairs
KeywordsMigraineStressorMedicineConfoundingOdds ratioPopulationDemographyOddsGerontologyPsychologyClinical psychologyEnvironmental healthPsychiatryInternal medicineLogistic regression

Abstract

fetched live from OpenAlex

Background The use of diet and physical activity in alleviating the burden of migraine is unclear, therefore, more scientific study on the role of positive health behaviors in migraine management is needed. Objective To explore the potential moderating influence of positive health behaviors on the early life stress‐migraine relationship in a sample of the Canadian adult population. Methods This study used data from the 2011‐2012 Canadian Community Health Survey – Annual Component, a National cross‐sectional survey. Adults ≥18 years of age residing in British Columbia were surveyed about stressors experienced as children/teenagers (eg, parental divorce and substance abuse exposure). Migraine was self‐report of health‐professional diagnosis. Positive health behaviors were measured using an index of transportation and leisure time physical activity, and self‐reported frequency of vegetable and fruit consumption. Population survey weights were employed throughout and analytic models were adjusted for known confounders (n unweighted = 11,910). Results The weighted prevalence of migraine was 9.7% (95% CI: 9.1%, 10.2%). Odds of migraine increased as number of stressors increased: 1 early life stressor (OR = 1.18, 95% CI: 1.01, 1.39), and ≥ 2 early life stressors (OR = 1.51, 95% CI: 1.29, 1.76), compared to no stress. There was evidence of effect modification by physical activity ( χ 2 (4) = 16.02, P < .001). The association between 1 early life stressor and migraine was lower for those who were physically active (moderately active: OR = 1.20, 95% CI: 0.90, 1.61; active: OR = 0.82, 95% CI: 0.61, 1.11). This difference was not apparent for those who experienced 2 or more early life stressors (moderately active: OR = 1.67, 95% CI: 1.28, 2.17; active: OR = 1.55, 95% CI: 1.21, 1.99). Across all levels of early life stress, physically active respondents had lower odds of migraine than moderately active respondents. There was no effect modification by vegetable, fruit, and total fruit/vegetable consumption. Conclusions Stressors experienced early in life are associated with migraine, and physical activity may ameliorate this relationship, particularly for those with exposure to a minimal level of early life stress. A higher dose of physical activity may yield greater benefit than a less intensive dose (ie, moderate activity level). However, the cross‐sectional nature of this study precludes us from inferring causality, and future investigation requires prospectively collected data.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.324
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2020
Admission routes3
Has abstractyes

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