This article is 3 months old
Reaction: researchers study indicators that can predict a migraine using data from an app

US researchers have analysed data from 477 people who, using a mobile app, recorded their moods, energy levels and migraine occurrence four times a day for two weeks. Morning attacks were associated with poorer self-rated sleep quality and less energy the day before. Stress and high-energy states were linked to headaches in the afternoon, adds the study, which is published in the journal Neurology.

24/01/2024 - 22:00 CET
 
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Pablo Irimia - app migraña EN

Pablo Irimia

Neurologist specialising in the diagnosis and treatment of headaches

Science Media Centre Spain

The study is of good quality, although the data cannot be considered definitive. It is observational and, although it includes a considerable number of people, it may not be representative of all migraine patients. Patients are required to complete daily questionnaires and wear a bracelet that analyses sleep quality. 

In recent years, several studies have tried to predict the occurrence of migraine attacks. If the patient is able to predict its onset, it can be treated early. Lack or excess of sleep is a migraine trigger in many patients. This study analyses the influence of sleep, stress, energy levels and mood of patients on the onset of headache. It is able to predict the onset of headache if the quality of sleep is poor or there are changes in the person's energy levels. 

More data, including more patients and longer follow-up, are needed to conclude that these findings are similar in all migraine patients. 

This work could help patients predict the onset of attacks and know their migraine. Knowing the triggers prepares them to take preventive measures to avoid the attack or to start treatment of the episode much earlier.

The author has not responded to our request to declare conflicts of interest
EN
Publications
Association Between Electronic Diary–Rated Sleep, Mood, Energy, and Stress With Incident Headache in a Community-Based Sample
  • Research article
  • Peer reviewed
  • People
Journal
Neurology
Publication date
Authors

Tarannum M. Lateef et al.

Study types:
  • Research article
  • Peer reviewed
  • People
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