气候变化领域集成服务门户(CCPortal): Weather patterns associated with pain in chronic-pain sufferers

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DOI	10.1175/BAMS-D-19-0265.1
	Weather patterns associated with pain in chronic-pain sufferers
	Schultz D.M.; Beukenhorst A.L.; Yimer B.B.; Cook L.; Pisaniello H.L.; House T.; Gamble C.; Sergeant J.C.; McBeth J.; Dixon W.G.
发表日期	2020
ISSN	00030007
起始页码	E555
结束页码	E566
卷号	101 期号:5
英文摘要	The belief that weather influences people's health has been prevalent for millennia. Recent studies on the relationship between weather and pain for those who suffer from chronic pain remain indeterminate, with some studies finding strong effects and others finding no effects; most studies face limitations to their study design or dataset size. To address these limitations, a U.K.-wide smartphone study Cloudy with a Chance of Pain was conducted over 15 months with 10, 584 citizen scientists who suffer from chronic pain, producing the largest dataset both in duration and number of participants. Compared to other similar citizen-science studies, our retention of participants was substantially better, with 15% still entering data nearly every day after 200 days. Analysis of the dataset using synoptic climatology and compositing revealed the daily weather associated with a prevalence of high pain and low pain across the population. Specifically, our results indicate that the top 10% of days with a high percentage of participants (about 20%) experiencing a pain event (represented here by a +1 change or greater in their pain level on a 5-point scale; referred to as a high-pain day) were associated with below-normal pressure, above-normal humidity, higher precipitation rate, and stronger wind. In contrast, the bottom 10% of days with a small percentage of participants (about 10%) experiencing a pain event (a low-pain day) were associated with above-normal pressure, below-normal humidity, lower precipitation rate, and weaker wind. Thus, these synoptic weather patterns support the beliefs of many participants who said that low pressure - and its accompanying weather - was associated with a pain event. © 2020 American Meteorological Society.
语种	英语
scopus关键词	Climatology; Citizen science; Data set size; Low pressures; Normal pressure; Precipitation rates; Synoptic climatology; Synoptic weather patterns; Weather patterns; Health
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177889
作者单位	Centre for Atmospheric Science, Department of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom; Centre for Crisis Studies and Mitigation, University of Manchester, Manchester, United Kingdom; Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom; Discipline of Medicine, University of Adelaide, Adelaide, SA, Australia; School of Mathematics, University of Manchester, Manchester, United Kingdom; IBM Research, Hartree Centre, Daresbury, United Kingdom; National Institute for Health Research, Greater Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom; Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, United Kingdom; National Institute for Health Research School of Primary Care, Manchester Academic Health Science Centre, University of Manchester, Mancheste...
推荐引用方式 GB/T 7714	Schultz D.M.,Beukenhorst A.L.,Yimer B.B.,et al. Weather patterns associated with pain in chronic-pain sufferers[J],2020,101(5).
APA	Schultz D.M..,Beukenhorst A.L..,Yimer B.B..,Cook L..,Pisaniello H.L..,...&Dixon W.G..(2020).Weather patterns associated with pain in chronic-pain sufferers.Bulletin of the American Meteorological Society,101(5).
MLA	Schultz D.M.,et al."Weather patterns associated with pain in chronic-pain sufferers".Bulletin of the American Meteorological Society 101.5(2020).