View in EDS

Public perceptions of the health risks of extreme heat across US states, counties, and neighborhoods.

Saved in:
Bibliographic Details
Title: Public perceptions of the health risks of extreme heat across US states, counties, and neighborhoods.
Authors: Howe, Peter D.1 peter.howe@usu.edu, Marlon, Jennifer R.2, Xinran Wang2, Leiserowitz, Anthony2
Source: Proceedings of the National Academy of Sciences of the United States of America. 4/2/2019, Vol. 116 Issue 14, p6743-6748. 6p.
Subjects: Health risk assessment, Causes of death, Heat waves (Meteorology), Adaptability (Personality), Risk perception
Abstract: Extreme heat is the leading weather-related cause of death in the United States. Many individuals, however, fail to perceive this risk, which will be exacerbated by global warming. Given that awareness of one’s physical and social vulnerability is a critical precursor to preparedness for extreme weather events, understanding Americans’ perceptions of heat risk and their geographic variability is essential for promoting adaptive behaviors during heat waves. Using a large original survey dataset of 9,217 respondents, we create and validate a model of Americans’ perceived risk to their health from extreme heat in all 50 US states, 3,142 counties, and 72,429 populated census tracts. States in warm climates (e.g., Texas, Nevada, and Hawaii) have some of the highest heatrisk perceptions, yet states in cooler climates often face greater health risks from heat. Likewise, places with older populations who have increased vulnerability to health effects of heat tend to have lower risk perceptions, putting them at even greater risk since lack of awareness is a barrier to adaptive responses. Poorer neighborhoods and those with larger minority populations generally have higher risk perceptions than wealthier neighborhoods with more white residents, consistent with vulnerability differences across these populations. Comprehensive models of extreme weather risks, exposure, and effects should take individual perceptions, which motivate behavior, into account. Understanding risk perceptions at fine spatial scales can also support targeting of communication and education initiatives to where heat adaptation efforts are most needed. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 135759831
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Public perceptions of the health risks of extreme heat across US states, counties, and neighborhoods.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Howe%2C+Peter+D%2E%22">Howe, Peter D.</searchLink><relatesTo>1</relatesTo><i> peter.howe@usu.edu</i><br /><searchLink fieldCode="AR" term="%22Marlon%2C+Jennifer+R%2E%22">Marlon, Jennifer R.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Xinran+Wang%22">Xinran Wang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Leiserowitz%2C+Anthony%22">Leiserowitz, Anthony</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+National+Academy+of+Sciences+of+the+United+States+of+America%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink>. 4/2/2019, Vol. 116 Issue 14, p6743-6748. 6p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Health+risk+assessment%22">Health risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Causes+of+death%22">Causes of death</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+waves+%28Meteorology%29%22">Heat waves (Meteorology)</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptability+%28Personality%29%22">Adaptability (Personality)</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+perception%22">Risk perception</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Extreme heat is the leading weather-related cause of death in the United States. Many individuals, however, fail to perceive this risk, which will be exacerbated by global warming. Given that awareness of one’s physical and social vulnerability is a critical precursor to preparedness for extreme weather events, understanding Americans’ perceptions of heat risk and their geographic variability is essential for promoting adaptive behaviors during heat waves. Using a large original survey dataset of 9,217 respondents, we create and validate a model of Americans’ perceived risk to their health from extreme heat in all 50 US states, 3,142 counties, and 72,429 populated census tracts. States in warm climates (e.g., Texas, Nevada, and Hawaii) have some of the highest heatrisk perceptions, yet states in cooler climates often face greater health risks from heat. Likewise, places with older populations who have increased vulnerability to health effects of heat tend to have lower risk perceptions, putting them at even greater risk since lack of awareness is a barrier to adaptive responses. Poorer neighborhoods and those with larger minority populations generally have higher risk perceptions than wealthier neighborhoods with more white residents, consistent with vulnerability differences across these populations. Comprehensive models of extreme weather risks, exposure, and effects should take individual perceptions, which motivate behavior, into account. Understanding risk perceptions at fine spatial scales can also support targeting of communication and education initiatives to where heat adaptation efforts are most needed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=135759831
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1073/pnas.1813145116
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 6743
    Subjects:
      – SubjectFull: Health risk assessment
        Type: general
      – SubjectFull: Causes of death
        Type: general
      – SubjectFull: Heat waves (Meteorology)
        Type: general
      – SubjectFull: Adaptability (Personality)
        Type: general
      – SubjectFull: Risk perception
        Type: general
    Titles:
      – TitleFull: Public perceptions of the health risks of extreme heat across US states, counties, and neighborhoods.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Howe, Peter D.
      – PersonEntity:
          Name:
            NameFull: Marlon, Jennifer R.
      – PersonEntity:
          Name:
            NameFull: Xinran Wang
      – PersonEntity:
          Name:
            NameFull: Leiserowitz, Anthony
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 04
              Text: 4/2/2019
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 00278424
          Numbering:
            – Type: volume
              Value: 116
            – Type: issue
              Value: 14
          Titles:
            – TitleFull: Proceedings of the National Academy of Sciences of the United States of America
              Type: main
ResultId 1