Relationships between maximum temperature and heat-related illness across North Carolina, USA

Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illn...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of biometeorology 2016-05, Vol.60 (5), p.663-675
Hauptverfasser: Sugg, Margaret M, Konrad, Charles E., II, Fuhrmann, Christopher M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 675
container_issue 5
container_start_page 663
container_title International journal of biometeorology
container_volume 60
creator Sugg, Margaret M
Konrad, Charles E., II
Fuhrmann, Christopher M
description Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.
doi_str_mv 10.1007/s00484-015-1060-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1787973436</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1787973436</sourcerecordid><originalsourceid>FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</originalsourceid><addsrcrecordid>eNqNkc2O0zAUhS00iHYKD8CGscSGBYbr_3g5qmBAGoFE6RJZbnLTZpSfYicC3p6kKQjNAs3qLvx959o-hDzn8IYD2LcJQGWKAdeMgwGmHpElV1IwLrS6IEsAAcxykS3IZUp3MDqZsU_IQhhpFChYkm9fsA591bXpUB0T3WH_A7GlTfhZNUNDe2yOGEM_RKShLegBQ8_ipGBBq7puMSUa8tiN41MX-wNdh9jVVRte0-3m-il5XIY64bPzXJHt-3df1x_Y7eebj-vrW5Zro3umjeO5UrIEyF1hjSkQ5c4ZbWyptcmC1EWZKa5dngfhjHE235kicGudKoWSK_Jqzj3G7vuAqfdNlXKs69BiNyTPbWadlUqah6BcSyczO6Iv76F33RDb8SETBVYJcdrNZ-r0CxFLf4xVE-Ivz8FPNfm5Jj_W5Kea_OS8OCcPuwaLv8afXkZAzEAaj9o9xn9W_yf1apbK0Pmwj1Xy240AbgD4eNEM5G-uDaST</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1780742224</pqid></control><display><type>article</type><title>Relationships between maximum temperature and heat-related illness across North Carolina, USA</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Sugg, Margaret M ; Konrad, Charles E., II ; Fuhrmann, Christopher M</creator><creatorcontrib>Sugg, Margaret M ; Konrad, Charles E., II ; Fuhrmann, Christopher M</creatorcontrib><description>Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.</description><identifier>ISSN: 0020-7128</identifier><identifier>EISSN: 1432-1254</identifier><identifier>DOI: 10.1007/s00484-015-1060-4</identifier><identifier>PMID: 26364040</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Aged ; Animal Physiology ; bioclimatology ; Biological and Medical Physics ; Biometeorology ; Biophysics ; Coastal plains ; demographic statistics ; Earth and Environmental Science ; Emergency Service, Hospital - statistics &amp; numerical data ; Emergency Service, Hospital - trends ; Environment ; Environmental Health ; Extreme heat ; gender ; Heat ; heat stress ; Heat Stress Disorders - epidemiology ; Heat tolerance ; Heatstroke ; Hot Temperature - adverse effects ; Humans ; Illnesses ; Meteorology ; Middle Aged ; morbidity ; North Carolina - epidemiology ; Original Paper ; people ; Plant Physiology ; Rural Population - statistics &amp; numerical data ; Temperature ; Urban Population - statistics &amp; numerical data ; Young Adult</subject><ispartof>International journal of biometeorology, 2016-05, Vol.60 (5), p.663-675</ispartof><rights>ISB 2015</rights><rights>ISB 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</citedby><cites>FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</cites><orcidid>0000-0002-0114-1046</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00484-015-1060-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00484-015-1060-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26364040$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sugg, Margaret M</creatorcontrib><creatorcontrib>Konrad, Charles E., II</creatorcontrib><creatorcontrib>Fuhrmann, Christopher M</creatorcontrib><title>Relationships between maximum temperature and heat-related illness across North Carolina, USA</title><title>International journal of biometeorology</title><addtitle>Int J Biometeorol</addtitle><addtitle>Int J Biometeorol</addtitle><description>Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Animal Physiology</subject><subject>bioclimatology</subject><subject>Biological and Medical Physics</subject><subject>Biometeorology</subject><subject>Biophysics</subject><subject>Coastal plains</subject><subject>demographic statistics</subject><subject>Earth and Environmental Science</subject><subject>Emergency Service, Hospital - statistics &amp; numerical data</subject><subject>Emergency Service, Hospital - trends</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Extreme heat</subject><subject>gender</subject><subject>Heat</subject><subject>heat stress</subject><subject>Heat Stress Disorders - epidemiology</subject><subject>Heat tolerance</subject><subject>Heatstroke</subject><subject>Hot Temperature - adverse effects</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Meteorology</subject><subject>Middle Aged</subject><subject>morbidity</subject><subject>North Carolina - epidemiology</subject><subject>Original Paper</subject><subject>people</subject><subject>Plant Physiology</subject><subject>Rural Population - statistics &amp; numerical data</subject><subject>Temperature</subject><subject>Urban Population - statistics &amp; numerical data</subject><subject>Young Adult</subject><issn>0020-7128</issn><issn>1432-1254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc2O0zAUhS00iHYKD8CGscSGBYbr_3g5qmBAGoFE6RJZbnLTZpSfYicC3p6kKQjNAs3qLvx959o-hDzn8IYD2LcJQGWKAdeMgwGmHpElV1IwLrS6IEsAAcxykS3IZUp3MDqZsU_IQhhpFChYkm9fsA591bXpUB0T3WH_A7GlTfhZNUNDe2yOGEM_RKShLegBQ8_ipGBBq7puMSUa8tiN41MX-wNdh9jVVRte0-3m-il5XIY64bPzXJHt-3df1x_Y7eebj-vrW5Zro3umjeO5UrIEyF1hjSkQ5c4ZbWyptcmC1EWZKa5dngfhjHE235kicGudKoWSK_Jqzj3G7vuAqfdNlXKs69BiNyTPbWadlUqah6BcSyczO6Iv76F33RDb8SETBVYJcdrNZ-r0CxFLf4xVE-Ivz8FPNfm5Jj_W5Kea_OS8OCcPuwaLv8afXkZAzEAaj9o9xn9W_yf1apbK0Pmwj1Xy240AbgD4eNEM5G-uDaST</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Sugg, Margaret M</creator><creator>Konrad, Charles E., II</creator><creator>Fuhrmann, Christopher M</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88F</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KL.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M1Q</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0114-1046</orcidid></search><sort><creationdate>20160501</creationdate><title>Relationships between maximum temperature and heat-related illness across North Carolina, USA</title><author>Sugg, Margaret M ; Konrad, Charles E., II ; Fuhrmann, Christopher M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Animal Physiology</topic><topic>bioclimatology</topic><topic>Biological and Medical Physics</topic><topic>Biometeorology</topic><topic>Biophysics</topic><topic>Coastal plains</topic><topic>demographic statistics</topic><topic>Earth and Environmental Science</topic><topic>Emergency Service, Hospital - statistics &amp; numerical data</topic><topic>Emergency Service, Hospital - trends</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Extreme heat</topic><topic>gender</topic><topic>Heat</topic><topic>heat stress</topic><topic>Heat Stress Disorders - epidemiology</topic><topic>Heat tolerance</topic><topic>Heatstroke</topic><topic>Hot Temperature - adverse effects</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Meteorology</topic><topic>Middle Aged</topic><topic>morbidity</topic><topic>North Carolina - epidemiology</topic><topic>Original Paper</topic><topic>people</topic><topic>Plant Physiology</topic><topic>Rural Population - statistics &amp; numerical data</topic><topic>Temperature</topic><topic>Urban Population - statistics &amp; numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sugg, Margaret M</creatorcontrib><creatorcontrib>Konrad, Charles E., II</creatorcontrib><creatorcontrib>Fuhrmann, Christopher M</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest - Health &amp; Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Military Database</collection><collection>Science Database (ProQuest)</collection><collection>ProQuest Biological Science Journals</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of biometeorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sugg, Margaret M</au><au>Konrad, Charles E., II</au><au>Fuhrmann, Christopher M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationships between maximum temperature and heat-related illness across North Carolina, USA</atitle><jtitle>International journal of biometeorology</jtitle><stitle>Int J Biometeorol</stitle><addtitle>Int J Biometeorol</addtitle><date>2016-05-01</date><risdate>2016</risdate><volume>60</volume><issue>5</issue><spage>663</spage><epage>675</epage><pages>663-675</pages><issn>0020-7128</issn><eissn>1432-1254</eissn><abstract>Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>26364040</pmid><doi>10.1007/s00484-015-1060-4</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0114-1046</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0020-7128
ispartof International journal of biometeorology, 2016-05, Vol.60 (5), p.663-675
issn 0020-7128
1432-1254
language eng
recordid cdi_proquest_miscellaneous_1787973436
source MEDLINE; SpringerLink Journals
subjects Adolescent
Adult
Aged
Animal Physiology
bioclimatology
Biological and Medical Physics
Biometeorology
Biophysics
Coastal plains
demographic statistics
Earth and Environmental Science
Emergency Service, Hospital - statistics & numerical data
Emergency Service, Hospital - trends
Environment
Environmental Health
Extreme heat
gender
Heat
heat stress
Heat Stress Disorders - epidemiology
Heat tolerance
Heatstroke
Hot Temperature - adverse effects
Humans
Illnesses
Meteorology
Middle Aged
morbidity
North Carolina - epidemiology
Original Paper
people
Plant Physiology
Rural Population - statistics & numerical data
Temperature
Urban Population - statistics & numerical data
Young Adult
title Relationships between maximum temperature and heat-related illness across North Carolina, USA
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T10%3A27%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relationships%20between%20maximum%20temperature%20and%20heat-related%20illness%20across%20North%20Carolina,%20USA&rft.jtitle=International%20journal%20of%20biometeorology&rft.au=Sugg,%20Margaret%20M&rft.date=2016-05-01&rft.volume=60&rft.issue=5&rft.spage=663&rft.epage=675&rft.pages=663-675&rft.issn=0020-7128&rft.eissn=1432-1254&rft_id=info:doi/10.1007/s00484-015-1060-4&rft_dat=%3Cproquest_cross%3E1787973436%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1780742224&rft_id=info:pmid/26364040&rfr_iscdi=true