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How the weather affects the pain of citizen scientists using a smartphone app
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. Smartpho...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811599/ https://www.ncbi.nlm.nih.gov/pubmed/31667359 http://dx.doi.org/10.1038/s41746-019-0180-3 |
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author | 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 |
author_facet | 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 |
author_sort | Dixon, William G. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6811599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68115992019-10-30 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 NPJ Digit Med Article 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. Nature Publishing Group UK 2019-10-24 /pmc/articles/PMC6811599/ /pubmed/31667359 http://dx.doi.org/10.1038/s41746-019-0180-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 How the weather affects the pain of citizen scientists using a smartphone app |
title | How the weather affects the pain of citizen scientists using a smartphone app |
title_full | How the weather affects the pain of citizen scientists using a smartphone app |
title_fullStr | How the weather affects the pain of citizen scientists using a smartphone app |
title_full_unstemmed | How the weather affects the pain of citizen scientists using a smartphone app |
title_short | How the weather affects the pain of citizen scientists using a smartphone app |
title_sort | how the weather affects the pain of citizen scientists using a smartphone app |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811599/ https://www.ncbi.nlm.nih.gov/pubmed/31667359 http://dx.doi.org/10.1038/s41746-019-0180-3 |
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