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How the weather affects the pain of citizen scientists using a smartphone app.
Dixon, William G; Beukenhorst, Anna L; Yimer, Belay B; Cook, Louise; Gasparrini, Antonio; El-Hay, Tal; Hellman, Bruce; James, Ben; Vicedo-Cabrera, Ana M; Maclure, Malcolm; Silva, Ricardo; Ainsworth, John; Pisaniello, Huai Leng; House, Thomas; Lunt, Mark; Gamble, Carolyn; Sanders, Caroline; Schultz, David M; Sergeant, Jamie C; McBeth, John.
Afiliação
  • Dixon WG; 1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Beukenhorst AL; 2Health eResearch Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Yimer BB; 3NIHR Greater Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Cook L; 1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Gasparrini A; 1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • El-Hay T; 1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Hellman B; 4Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • James B; 5Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK.
  • Vicedo-Cabrera AM; 6IBM Research, Haifa, Israel.
  • Maclure M; uMotif Limited, London, UK.
  • Silva R; uMotif Limited, London, UK.
  • Ainsworth J; 4Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Pisaniello HL; 8Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC Canada.
  • House T; Department of Statistical Science, UCL London, UK.
  • Lunt M; 10Alan Turing Institute, London, UK.
  • Gamble C; 2Health eResearch Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Sanders C; 1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Schultz DM; 11Discipline of Medicine, The University of Adelaide, Adelaide, Australia.
  • Sergeant JC; 12School of Mathematics, The University of Manchester, Manchester, UK.
  • McBeth J; IBM Research, Hartree Centre, Sci-Tech, Daresbury, UK.
NPJ Digit Med ; 2: 105, 2019.
Article em En | MEDLINE | ID: mdl-31667359
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Digit Med Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Digit Med Ano de publicação: 2019 Tipo de documento: Article