Methods to Calculate the Heat Index as an Exposure Metric in Environmental Health Research.

Background: Environmental health research employs a variety of metrics to measure heat exposure, both to directly study the health effects of outdoor temperature and to control for temperature in studies of other environmental exposures, including air pollution. To measure heat exposure, environment...

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Published in:Environmental Health Perspectives Vol. 121; no. 10; pp. 1111 - 1120
Main Authors: Anderson, G. Brooke, Bell, Michelle L., Peng, Roger D.
Format: algorithm research tables/charts Journal Article
Published: National Institute of Environmental Health Sciences Oct2013
Online Access:View this record in EBSCOhost
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      dt: Oct2013
      vid: 121
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        atl: Methods to Calculate the Heat Index as an Exposure Metric in Environmental Health Research.
      aug:
        au:
          Anderson, G. Brooke
          Bell, Michelle L.
          Peng, Roger D.
        affil: Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
      sug:
        subj:
          Heat Analysis
          Environmental Health
          Human
          Algorithms
          Temperature
          Weather
          United States
          Descriptive Statistics
          Data Analysis Software
      ab: Background: Environmental health research employs a variety of metrics to measure heat exposure, both to directly study the health effects of outdoor temperature and to control for temperature in studies of other environmental exposures, including air pollution. To measure heat exposure, environmental health studies often use heat index, which incorporates both air temperature and moisture. However, the method of calculating heat index varies across environmental studies, which could mean that studies using different algorithms to calculate heat index may not be comparable. Objective and Methods: We investigated 21 separate heat index algorithms found in the literature to determine a) whether different algorithms generate heat index values that are consistent with the theoretical concepts of apparent temperature and b) whether different algorithms generate similar heat index values. Results: Although environmental studies differ in how they calculate heat index values, most studies' heat index algorithms generate values consistent with apparent temperature. Additionally, most different algorithms generate closely correlated heat index values. However, a few algorithms are potentially problematic, especially in certain weather conditions (e.g., very low relative humidity, cold weather). To aid environmental health researchers, we have created open-source software in R to calculate the heat index using the U.S. National Weather Service's algorithm. Conclusion: We identified 21 separate heat index algorithms used in environmental research. Our analysis demonstrated that methods to calculate heat index are inconsistent across studies. Careful choice of a heat index algorithm can help ensure reproducible and consistent environmental health research.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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