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

ABSTRACT:

Background

There 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.

Methods

Self-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 modell

SUBMITTER: Stanyer EC 

PROVIDER: S-EPMC10486047 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature