4.7 Article

The Role of Humidity in Associations of HighTemperature with Mortality: A Multicountry, Multicity Study

Journal

ENVIRONMENTAL HEALTH PERSPECTIVES
Volume 127, Issue 9, Pages -

Publisher

US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE
DOI: 10.1289/EHP5430

Keywords

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Funding

  1. UK National institute for Health Research (NIHR) Health Protection Research Unit in Environmental Change and Health
  2. UK Medical Research Council [MR/M022625/1, MR/R013349/1]
  3. UK Natural Environment Research Council [NE/R009384/1]
  4. U.S. Environmental Protection Agency [83587101]
  5. U.S. National Institutes of Health [R01 MD012769]
  6. Career Development Fellowship of Australian National Health and Medical Research Council [APP1107107]
  7. Japanese Society for the Promotion of Science (JSPS) invitational Fellowships for Research in Japan [S18149]
  8. National Health Research Institutes, Taiwan [NHRI-105-EMSP09]
  9. Ministry of Education and Research (Estonia) [IUT34-17]
  10. Czech Science Foundation [18-22125S]
  11. Global Research Lab through the National Research Foundation of Korea [K21004000001-10A0500-00710]
  12. Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency [S-14]
  13. MRC [MR/M022625/1, MR/R013349/1] Funding Source: UKRI
  14. NERC [NE/R009384/1] Funding Source: UKRI

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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. 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.

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