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RESEARCH PRODUCT

The role of humidity in associations of high temperature with mortality: A multicountry, multicity study

Haidong KanYuming GuoFrancesco SeraPatricia Matus CorreaMartina S. RagettliMartina S. RagettliRosana AbrutzkyBen ArmstrongAriana ZekaMagali Hurtado DiazXerxes SeposoEne IndermittePaola MichelozziCésar De La Cruz ValenciaMatteo ScortichiniBing-yu ChenMichelle L. BellAntonio GasparriniPatrick GoodmanNicolas Valdes OrtegaYueliang Leon GuoYueliang Leon GuoAleš UrbanAurelio TobiasJan KyselýJan KyselýDo Van DungAna M. Vicedo-cabreraYasushi HondaCarmen IñiguezJoel SchwartzTran Ngoc DangTran Ngoc DangPaulo Hilário Nascimento SaldivaDaniel Oudin ÅStrömEric LavigneEric LavigneMathilde PascalBertil ForsbergMasahiro HashizumeAntonella ZanobettiMicheline De Sousa Zanotti Stagliorio CoelhoShilu TongShilu TongShilu TongHans OrruHo Kim

subject

Health Toxicology and MutagenesisHot temperature010501 environmental sciencesAtmospheric sciences01 natural sciencesrelative humidity (RH)Hot Temperature03 medical and health sciencesArbetsmedicin och miljömedicin0302 clinical medicineHeat-related mortality030212 general & internal medicineMortality trends0105 earth and related environmental sciencesHeat related mortalitydistributed lag nonlinear model (DLNM)TemperaturesExtramuralResearchPublic Health Environmental and Occupational Healthhumidityfood and beveragesHumidityOccupational Health and Environmental Healthmortalityhumanities3. Good health13. Climate actionEnvironmental science

description

BACKGROUND: 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. Cityspecific 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/EHP5430. © 2019, Public Health Services, US Dept of Health and Human Services. All rights reserved.

10.1289/ehp5430http://bura.brunel.ac.uk/handle/2438/20350