Evidence map›Paper›PMID 37679693›Full record

ArticleThe journal of headache and pain2023

Investigating the relationship between sleep and migraine in a global sample: a Bayesian cross-sectional approach.

Emily C Stanyer, Jack Brookes, Jia Rong Pang, Alexandre Urani, Philip R Holland, Jan Hoffmann

Open access · goldAbstract read
In one paragraph

Article in The journal of headache and pain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Is it time to think about chronotherapy in migraine.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

6 authors at 3 institutions in 1 country.

Emily C StanyerWolfson Centre for Age-Related Diseases, Institute for Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
Jack BrookesIndependent Researcher, London, UK.
Jia Rong PangHealint Pte Ltd, Singapore, Singapore.
Alexandre UraniHealint Pte Ltd, Singapore, Singapore.
Philip R HollandWolfson Centre for Age-Related Diseases, Institute for Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
Jan HoffmannWolfson Centre for Age-Related Diseases, Institute for Psychiatry, Psychology, and Neuroscience, King's College London, London, UK. jan.hoffmann@kcl.ac.uk.
King's College Hospital · GBKing's College London · GBOxford Centre for Computational Neuroscience · GB

Funding

Medical Research Council MR/N013700/1
6 · The paper itself

Abstract

backgroundThere is a bidirectional link between sleep and migraine, however causality is difficult to determine. This study aimed to investigate this relationship using data collected from a smartphone application.

methodsSelf-reported data from 11,166 global users (aged 18-81 years, mean: 41.21, standard deviation: 11.49) were collected from the Migraine Buddy application (Healint Pte. Ltd.). Measures included: start and end times of sleep and migraine attacks, and pain intensity. Bayesian regression models were used to predict occurrence of a migraine attack the next day based on users' deviations from average sleep, number of sleep interruptions, and hours slept the night before in those reporting ≥ 8 and < 25 migraine attacks on average per month. Conversely, we modelled whether attack occurrence and pain intensity predicted hours slept that night.

resultsThere were 724 users (129 males, 412 females, 183 unknown, mean age = 41.88 years, SD = 11.63), with a mean monthly attack frequency of 9.94. More sleep interruptions (95% Highest Density Interval (95%HDI [0.11 - 0.21]) and deviation from a user's mean sleep (95%HDI [0.04 - 0.08]) were significant predictors of a next day attack. Total hours slept was not a significant predictor (95%HDI [-0.04 - 0.04]). Pain intensity, but not attack occurrence was a positive predictor of hours slept.

conclusionsSleep fragmentation and deviation from typical sleep are the main drivers of the relationship between sleep and migraine. Having a migraine attack does not predict sleep duration, yet the pain associated with it does. This study highlights sleep as crucial in migraine management.

Indexed as

Migraine DisordersSleepAdultBayes TheoremFemaleHumansMalePainSleep DurationBayesianHeadacheMigraineModellingPainSleepSleep deprivation

Identifiers

PMID37679693
PMCPMC10486047
OpenAlexW4386504876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.