How the Weather Affects the Pain of Citizen Scientists Using a Smartphone App

William Dixon, Anna Beukenhorst, Belay Birlie, Louise Cook, Antonio Gasparrini, Tal El-Hay, Bruce Hellman, Ben James, Ana M. Vicedo-Cabrera, Malcolm Maclure, Ricardo Silva, John Ainsworth, Huai Leng Pisaniello, Thomas House, Mark Lunt, Carolyn Gamble, Caroline Sanders, David Schultz, Jamie Sergeant, John Mcbeth

Research output: Contribution to journalArticlepeer-review

Abstract

Patients with chronic pain commonly believe their pain is related to the weather. Scientific evidence to support their beliefs is inconclusive, in part due to difficulties in getting a large dataset of patients frequently recording their pain symptoms during a variety of weather conditions. Smartphones allow the opportunity to collect data to overcome these difficulties. Our study Cloudy with a Chance of Pain analysed daily data from 2658 patients collected over a 15-month period. The analysis demonstrated significant yet modest relationships between pain and relative humidity, pressure and wind speed, with correlations remaining even when accounting for mood and physical activity. This research highlights how citizen-science experiments can collect large datasets on real-world populations to address long-standing health questions. These results will act as a starting point for a future system for patients to better manage their health through pain forecasts.
Original languageEnglish
Article number105
Journaln p j Digital Medicine
Volume2
DOIs
Publication statusPublished - 24 Oct 2019

Keywords

  • Mobile health
  • epidemiology
  • weather
  • pain
  • smartphone

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