Evidence map›Paper›PMID 41337743›Full record

ArticleJMIR formative research2025

Self-Reported Triggers Evaluation of High-Risk Dietary and Environmental Factors Preceding Migraine Onset by Using a Mobile Tracking App (Migraine Insight): Comparative Analysis Study.

Christina Wornom, Brooklyn Brekke-Kumley, Tavsimran Luthra, Lynn J Smith, Jane C Harrington

Abstract readComparative Study
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Christina Wornom *Rocky Vista University, Montana College of Osteopathic Medicine, Billings, MT, United States.ORCID 0009-0004-1527-5610
Brooklyn Brekke-Kumley *Rocky Vista University, Montana College of Osteopathic Medicine, Billings, MT, United States.ORCID 0009-0005-5758-7943
Tavsimran Luthra *Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, United States.ORCID 0009-0000-5403-5768
Lynn J Smith *Migraine Insight, Minneapolis, MN, United States.ORCID 0009-0000-6807-2172
Jane C Harrington *Rocky Vista University, Montana College of Osteopathic Medicine, Billings, MT, United States.ORCID 0000-0002-4487-0257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigraines are a significant health concern affecting millions of individuals, often requiring habitual tracking of potential triggers to mitigate or predict episodes. Digital health tools such as mobile apps offer a scalable solution for personalized tracking and pattern recognition. Migraine Insight is one such app that facilitates daily logging to quantitatively assess individualized patterns of events preceding migraine onset. However, while various triggers have been reported in migraine literature, there is limited large-scale electronic user-driven data on the frequency and relative impact of specific triggers.

objectiveThis study aims to address this gap by analyzing user-reported data from Migraine Insight to identify the most frequently reported triggers and evaluate their potential associations with migraine onset.

methodsFood-associated migraine triggers were identified by performing a noninterventional, retrospective analysis of self-reported data obtained via the Migraine Insight app. A collaboration was made with the representatives of the Migraine Insight app to extrapolate the data needed for the study. A preliminary keyword list was assessed from a raw data set of 2605 data entry values, extracted from a 30-day period of September 19 to October 18, 2021, to identify high ranking self-reported events, classified by dietary habits, environmental conditions, body physiology, and medications. The variables examined included the following: dietary items, environmental conditions, body physiology, and electronics. Food items were combined into similar groups, considering variable spelling and descriptions of self-reported events. The association of migraine onset after consumption of top 5 dietary products was evaluated to establish the frequency of migraine episodes for all users who reported the items.

resultsCollectively, food (n=353) and beverage (n=252) totaled the highest reported entries, with chocolate, wine, tea, coffee, and cheese as the highest ranked foods for prevalence of reporting across all users and for frequency of migraine onset for users who consumed the items within 48 hours. The 4 highest nonfood entries were altered sleep patterns (n=245), stress or anxiety (n=199), rain or storm conditions (n=192), and bright light or brightness (n=191). Statistical analysis showed that chocolate was the only food trigger significantly associated with migraines (P=.003 vs 50%; P=.04 vs average). Consumption of tea approached significance (P=.051), while consumption of coffee, cheese, and wine were not significant. These findings suggest that chocolate is the most consistent dietary trigger.

conclusionsHigh-risk foods, environmental conditions, stress, and lighting with highest prevalence reporting have previously been reported in medical literature, implicating that a migraine tracking app is a valid alternative to paper-based diaries.

Indexed as

DietMigraine DisordersMobile ApplicationsSelf ReportAdultFeeding BehaviorFemaleHumansMaleMiddle AgedRetrospective StudiesRisk Factorsappapplicationcomparative analysisdietdietaryenvironmentalenvironmental triggersfoodfood allergiesfood triggersheadachehealth tracking applicationmigrainemigrainesmobile tracking apptrackingtracking applicationuseruser data

Identifiers

PMID41337743
PMCPMC12712558

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.