Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 191

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Contributions of Epidemiology to Our Understanding of Migraine

Open access
Merikangas, Kathleen R.·2013·Headache: The Journal of Head and Face Pain

Abstract

Background: During the past decade, the introduction of the second edition of the I nternational C lassification of H eadache D isorders ( ICHD ‐ II ) and the initiation of active campaigns to increase awareness of the high magnitude, burden, and impact of migraine have stimulated numerous studies of population‐based data on the prevalence, correlates, and impact of migraine. Objective: This paper provides an update of the literature on the worldwide epidemiology of migraine from studies that included the ICHD ‐ II criteria. The aims of this paper are: (1) to review evidence regarding the magnitude of migraine; (2) to summarize information on the correlates and impact of migraine; and (3) to discuss the contributions, challenges, and future directions in the epidemiology of migraine. Evidence on the magnitude of migraine is divided into the following types of data: (1) prevalence rates of ICHD ‐ II ‐defined migraine and tension‐type headache from international population‐based studies of adults; (2) the magnitude of migraine in U . S . studies; (3) ICHD ‐ II ‐based international prevalence rates of ICHD ‐ II ‐defined migraine in children; and (4) incidence rates of migraine from prospective longitudinal studies. Methods: A comprehensive review of the literature on the prevalence of migraine subtypes and tension‐type headache defined by ICHD ‐ II criteria during the past decade was conducted and aggregate weighted rates across studies were derived. Results: Across the 19 studies of adults that employed the ICHD ‐ II criteria, the aggregate weighted estimates of the 12‐month prevalence of definite migraine are 11.5%, and probable migraine of 7%, yielding a total of 18.5%. The cross‐study weighted aggregate rate of migraine with aura is 4.4%, chronic migraine is 0.5%, and of tension‐type headache is 13%. There has been even greater growth in international prevalence data on migraine in children, with a total of 21 studies of children that have employed the ICDH ‐II criteria. The aggregate weighted rate of definite migraine in children is 10.1% and migraine with aura is 1.6%. The well‐established demographic correlates of migraine including the equal sex ratio in childhood, with increasing prevalence of migraine in females across adolescence to mid‐adulthood were confirmed in these studies. Despite increasing effort to increase awareness of migraine, approximately 50% of those with frequent and/or severe migraine do not receive professional treatment. Conclusions: This review demonstrates that the descriptive epidemiology of migraine has reached its maturity. The prevalence rates and sociodemographic correlates have been stable across 50 years. These developments justify a shift in efforts to the application of the designs and methods of analytic epidemiology. Retrospective case–control studies followed by prospective cohort studies that test specific associations are likely to enhance our understanding of the predictors of incidence and progression of migraine, subtypes of migraine with differential patterns of onset and course, and specific environmental exposures that may have either causal or provocative influences on migraine etiology.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/head.12038

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Cited by

See all 191

Metadata

Authors
Merikangas, K. R.
Venue
Headache: The Journal of Head and Face Pain
Publisher
Wiley
Published
2013-02
Volume
53
Issue
2
Pages
230-246
ISSN
  • 0017-8748 (ISSN-L)
  • 1526-4610
OpenAlex
W2042163679
Cited by
191
References
8
FWCI
14.67
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Contributions of Epidemiology to Our Understanding of Migraine. https://app.cochat.ai/papers/10.1111/head.12038
The paper
Merikangas, K. R. (2013). Contributions of Epidemiology to Our Understanding of Migraine. Headache: The Journal of Head and Face Pain. https://doi.org/10.1111/head.12038

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.