Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20350
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dc.contributor.authorArmstrong, B-
dc.contributor.authorSera, F-
dc.contributor.authorVicedo-Cabrera, AM-
dc.contributor.authorAbrutzky, R-
dc.contributor.authorÅström, DO-
dc.contributor.authorBell, ML-
dc.contributor.authorChen, BY-
dc.contributor.authorCoelho, MDSZS-
dc.contributor.authorCorrea, PM-
dc.contributor.authorDang, TN-
dc.contributor.authorDiaz, MH-
dc.contributor.authorVan Dung, D-
dc.contributor.authorForsberg, B-
dc.contributor.authorGoodman, P-
dc.contributor.authorGuo, YLL-
dc.contributor.authorGuo, Y-
dc.contributor.authorHashizume, M-
dc.contributor.authorHonda, Y-
dc.contributor.authorIndermitte, E-
dc.contributor.authorÍñiguez, C-
dc.contributor.authorKan, H-
dc.contributor.authorKim, H-
dc.contributor.authorKyselý, J-
dc.contributor.authorLavigne, E-
dc.contributor.authorMichelozzi, P-
dc.contributor.authorOrru, H-
dc.contributor.authorOrtega, NV-
dc.contributor.authorPascal, M-
dc.contributor.authorRagettli, MS-
dc.contributor.authorSaldiva, PHN-
dc.contributor.authorSchwartz, J-
dc.contributor.authorScortichini, M-
dc.contributor.authorSeposo, X-
dc.contributor.authorTobias, A-
dc.contributor.authorTong, S-
dc.contributor.authorUrban, A-
dc.contributor.authorValencia, CDLC-
dc.contributor.authorZanobetti, A-
dc.contributor.authorZeka, A-
dc.contributor.authorGasparrini, A-
dc.date.accessioned2020-02-20T10:25:20Z-
dc.date.available2019-09-25-
dc.date.available2020-02-20T10:25:20Z-
dc.date.issued2019-09-25-
dc.identifier.citationEnvironmental Health Perspectives, 2019, 127 (9), pp. 097007-1-097007-8 - 097007-1-097007-8en_US
dc.identifier.issn0091-6765-
dc.identifier.issnhttp://dx.doi.org/10.1289/EHP5430-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/20350-
dc.description.abstractBackground: There is strong experimental evidence that physiologic stress from high temperatures is greater if humidity is higher. However, heat indices developed to allow for this have not consistently predicted mortality better than dry-bulb temperature. Objectives: We aimed to clarify the potential contribution of humidity an addition to temperature in predicting daily mortality in summer by using a large multicountry dataset. Methods: In 445 cities in 24 countries, we fit a time-series regression model for summer mortality with a distributed lag nonlinear model (DLNM) for temperature (up to lag 3) and supplemented this with a range of terms for relative humidity (RH) and its interaction with temperature. City-specific associations were summarized using meta-analytic techniques. Results: Adding a linear term for RH to the temperature term improved fit slightly, with an increase of 23% in RH (the 99th percentile anomaly) associated with a 1.1% [95% confidence interval (CI): 0.8, 1.3] decrease in mortality. Allowing curvature in the RH term or adding terms for interaction of RH with temperature did not improve the model fit. The humidity-related decreased risk was made up of a positive coefficient at lag 0 outweighed by negative coefficients at lags of 1–3 d. Key results were broadly robust to small model changes and replacing RH with absolute measures of humidity. Replacing temperature with apparent temperature, a metric combining humidity and temperature, reduced goodness of fit slightly. Discussion: The absence of a positive association of humidity with mortality in summer in this large multinational study is counter to expectations from physiologic studies, though consistent with previous epidemiologic studies finding little evidence for improved prediction by heat indices. The result that there was a small negative average association of humidity with mortality should be interpreted cautiously; the lag structure has unclear interpretation and suggests the need for future work to clarify. https://doi.org/10.1289/EHP5430en_US
dc.description.sponsorshipB.A. was supported by the UK National Institute for Health Research (NIHR) Health Protection Research Unit in Environmental Change and Health; A.G., F.S., and A.V.C. were supported by grants from the UK Medical Research Council (grant IDs: MR/M022625/1, MR/R013349/1) and from the UK Natural Environment Research Council (grant ID: NE/R009384/1); and M.L.B. was supported by Assistance Agreement No. 83587101 awarded by the U.S. Environmental Protection Agency and R01 MD012769 awarded by the U.S. National Institutes of Health. Y.G. was supported by the Career Development Fellowship of Australian National Health and Medical Research Council (APP1107107). A.T. was supported by the Japanese Society for the Promotion of Science (JSPS) Invitational Fellowships for Research in Japan (S18149). Y.L.G. was supported by NHRI-105-EMSP09 from National Health Research Institutes, Taiwan. H.O. and E.I. were supported by Ministry of Education and Research (Estonia) grant IUT34-17. J.K. and A.U. were supported by the Czech Science Foundation, grant 18-22125S. H.K., M.H., and Y.H. were supported by the Global Research Lab (#K21004000001-10A0500-00710) through the National Research Foundation of Korea. M.H. and Y.H. were supported by the Environment Research and Technology Development Fund (S-14) of the Environmental Restoration and Conservation Agency.-
dc.format.extent097007-1-097007-8 - 097007-1-097007-8-
dc.language.isoenen_US
dc.publisherNIEHSen_US
dc.rightsReproduced with permission from Environmental Health Perspectives-
dc.subjecthumidityen_US
dc.subjectdistributed lag nonlinear model (DLNM)en_US
dc.subjectrelative humidity (RH)en_US
dc.subjectmortalityen_US
dc.titleThe role of humidity in associations of high temperature with mortality: A multicountry, multicity studyen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1289/EHP5430-
dc.relation.isPartOfEnvironmental Health Perspectives-
pubs.issue9-
pubs.publication-statusPublished-
pubs.volume127-
Appears in Collections:Dept of Life Sciences Research Papers

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