Trends in ambulance dispatches related to heat illness from 2010 to 2019: An ecological study
Heatstroke is a serious heat-related illness that can even cause death. Heat alert systems play an important role in reducing the number of patients experiencing heat illness, as they encourage preventive actions such as the use of air conditioning, hydration, or other strategies. However, to date,...
Gespeichert in:
| Veröffentlicht in: | PloS one 2022-11, Vol.17 (11), p.e0275641-e0275641 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0275641 |
|---|---|
| container_issue | 11 |
| container_start_page | e0275641 |
| container_title | PloS one |
| container_volume | 17 |
| creator | Nakamura, Daisuke Kinoshita, Hiroki Asada, Kazuo Arimitsu, Takuma Yasumatsu, Mikinobu Ishiwata, Takayuki |
| description | Heatstroke is a serious heat-related illness that can even cause death. Heat alert systems play an important role in reducing the number of patients experiencing heat illness, as they encourage preventive actions such as the use of air conditioning, hydration, or other strategies. However, to date, the Japanese hazard classification has not considered seasonal and regional variations, despite clear differences in meteorological conditions across different regions in Japan. Moreover, several studies have reported a difference in thermoregulation between older and younger adults, implying that the hazard classification should also consider age differences. This study examined the relationship between the number of ambulance dispatches related to heat illness (ADRHI) and the Japanese heat hazard classification from 2010 to 2019, focusing on monthly and regional differences. Data from 47 prefectures during the 10-year period were collected and analyzed. ADRHI and wet bulb globe temperature (WBGT) data were collected from Japan's Ministry of Internal Affairs and Communications and the Ministry of the Environment Heat Illness Prevention Information website, respectively. The findings showed a significant relationship between ADRHI and WBGT.sub.max (p < 0.05, r = 0.74). ADRHI per 100,000 people showed significant differences across months. The post hoc test detected the first steep increase in ADRHI at a WBGT.sub.max of 23°C than at 22°C in June, and at a WBGT.sub.max of 26°C, 27°C, and 25°C in July, August, and September, respectively. Moreover, the first significant increase in ADRHI per 100,000 people at WBGT.sub.max differed across each region, at a WBGT.sub.max of 24°C in Hokkaido-Tohoku, 25°C in Kanto, Kansai, and Chugoku, 26°C in Chubu, 27°C in Shikoku, and 28°C in Kyushu-Okinawa. Further, Poisson regression analysis revealed that the relative risks differed across each region and month. These results imply that the hazard classification should be adjusted according to region and month in Japan. |
| doi_str_mv | 10.1371/journal.pone.0275641 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2733119422</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A725493555</galeid><doaj_id>oai_doaj_org_article_7880892f659346afaea2700f632a0a3b</doaj_id><sourcerecordid>A725493555</sourcerecordid><originalsourceid>FETCH-LOGICAL-c735t-a2c7ade431561a0c8144e1334339efd8e565c21db9abeebcdb6d2596e2b57a5b3</originalsourceid><addsrcrecordid>eNqNk12L1DAUhoso7rr6DwQDgujFjPlo0sYLYVj8GFhY0NU7Cafp6UyWTDM2qbj_3oxTZSt7IblIOOfJe5I3OUXxlNElExV7fR3GoQe_3Icel5RXUpXsXnHKtOALxam4f2t9UjyK8ZpSKWqlHhYnQomSa65Pi29XA_ZtJK4nsGtGD71F0rq4h2S3GMmAHhK2JAWyRUjEed9jjKQbwo5wyughk2f9hqx6gjb4sHEWPIlpbG8eFw868BGfTPNZ8eX9u6vzj4uLyw_r89XFwlZCpgVwW0GLpWBSMaC2ZmWJTIhSCI1dW6NU0nLWNhoaxMa2jWq51Ap5IyuQjTgrnh119z5EMzkTDa-EYEyXnGdifSTaANdmP7gdDDcmgDO_A2HYGBiSsx5NVde01rxTUotSQQcIvKK0U4IDBXGo9naqNjY7bC32aQA_E51nerc1m_DDaCV0zess8HISGML3EWMyOxct-uw-hvF4bp4fS1QZff4PevftJmoD-QKu70Kuaw-iZlVxWWohpczU8g4qjxZ3zuZv1Lkcn214NduQmYQ_0wbGGM3686f_Zy-_ztkXt9j8r3zaxuDH5EIf52B5BO0QYhyw-2syo-bQBX_cMIcuMFMXiF_29fYg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2733119422</pqid></control><display><type>article</type><title>Trends in ambulance dispatches related to heat illness from 2010 to 2019: An ecological study</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Nakamura, Daisuke ; Kinoshita, Hiroki ; Asada, Kazuo ; Arimitsu, Takuma ; Yasumatsu, Mikinobu ; Ishiwata, Takayuki</creator><creatorcontrib>Nakamura, Daisuke ; Kinoshita, Hiroki ; Asada, Kazuo ; Arimitsu, Takuma ; Yasumatsu, Mikinobu ; Ishiwata, Takayuki</creatorcontrib><description>Heatstroke is a serious heat-related illness that can even cause death. Heat alert systems play an important role in reducing the number of patients experiencing heat illness, as they encourage preventive actions such as the use of air conditioning, hydration, or other strategies. However, to date, the Japanese hazard classification has not considered seasonal and regional variations, despite clear differences in meteorological conditions across different regions in Japan. Moreover, several studies have reported a difference in thermoregulation between older and younger adults, implying that the hazard classification should also consider age differences. This study examined the relationship between the number of ambulance dispatches related to heat illness (ADRHI) and the Japanese heat hazard classification from 2010 to 2019, focusing on monthly and regional differences. Data from 47 prefectures during the 10-year period were collected and analyzed. ADRHI and wet bulb globe temperature (WBGT) data were collected from Japan's Ministry of Internal Affairs and Communications and the Ministry of the Environment Heat Illness Prevention Information website, respectively. The findings showed a significant relationship between ADRHI and WBGT.sub.max (p < 0.05, r = 0.74). ADRHI per 100,000 people showed significant differences across months. The post hoc test detected the first steep increase in ADRHI at a WBGT.sub.max of 23°C than at 22°C in June, and at a WBGT.sub.max of 26°C, 27°C, and 25°C in July, August, and September, respectively. Moreover, the first significant increase in ADRHI per 100,000 people at WBGT.sub.max differed across each region, at a WBGT.sub.max of 24°C in Hokkaido-Tohoku, 25°C in Kanto, Kansai, and Chugoku, 26°C in Chubu, 27°C in Shikoku, and 28°C in Kyushu-Okinawa. Further, Poisson regression analysis revealed that the relative risks differed across each region and month. These results imply that the hazard classification should be adjusted according to region and month in Japan.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0275641</identifier><identifier>PMID: 36342929</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Age differences ; Air conditioning ; Ambulances ; Analysis ; Biology and Life Sciences ; Classification ; Computer and Information Sciences ; Datasets ; Earth Sciences ; Ecological studies ; Engineering and Technology ; Environmental aspects ; Health hazards ; Health risks ; Heat ; Heat stroke ; Heatstroke ; Hydration ; Illnesses ; Medicine and Health Sciences ; Meteorological conditions ; Morbidity ; Mortality ; People and Places ; Population ; Prevention ; Regions ; Regression analysis ; Risk assessment ; Risk factors ; Social Sciences ; Statistics ; Thermoregulation ; Time trends (Statistics) ; Weather ; Weather forecasting ; Websites</subject><ispartof>PloS one, 2022-11, Vol.17 (11), p.e0275641-e0275641</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Nakamura et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Nakamura et al 2022 Nakamura et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c735t-a2c7ade431561a0c8144e1334339efd8e565c21db9abeebcdb6d2596e2b57a5b3</citedby><cites>FETCH-LOGICAL-c735t-a2c7ade431561a0c8144e1334339efd8e565c21db9abeebcdb6d2596e2b57a5b3</cites><orcidid>0000-0001-5241-6225</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639828/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639828/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids></links><search><creatorcontrib>Nakamura, Daisuke</creatorcontrib><creatorcontrib>Kinoshita, Hiroki</creatorcontrib><creatorcontrib>Asada, Kazuo</creatorcontrib><creatorcontrib>Arimitsu, Takuma</creatorcontrib><creatorcontrib>Yasumatsu, Mikinobu</creatorcontrib><creatorcontrib>Ishiwata, Takayuki</creatorcontrib><title>Trends in ambulance dispatches related to heat illness from 2010 to 2019: An ecological study</title><title>PloS one</title><description>Heatstroke is a serious heat-related illness that can even cause death. Heat alert systems play an important role in reducing the number of patients experiencing heat illness, as they encourage preventive actions such as the use of air conditioning, hydration, or other strategies. However, to date, the Japanese hazard classification has not considered seasonal and regional variations, despite clear differences in meteorological conditions across different regions in Japan. Moreover, several studies have reported a difference in thermoregulation between older and younger adults, implying that the hazard classification should also consider age differences. This study examined the relationship between the number of ambulance dispatches related to heat illness (ADRHI) and the Japanese heat hazard classification from 2010 to 2019, focusing on monthly and regional differences. Data from 47 prefectures during the 10-year period were collected and analyzed. ADRHI and wet bulb globe temperature (WBGT) data were collected from Japan's Ministry of Internal Affairs and Communications and the Ministry of the Environment Heat Illness Prevention Information website, respectively. The findings showed a significant relationship between ADRHI and WBGT.sub.max (p < 0.05, r = 0.74). ADRHI per 100,000 people showed significant differences across months. The post hoc test detected the first steep increase in ADRHI at a WBGT.sub.max of 23°C than at 22°C in June, and at a WBGT.sub.max of 26°C, 27°C, and 25°C in July, August, and September, respectively. Moreover, the first significant increase in ADRHI per 100,000 people at WBGT.sub.max differed across each region, at a WBGT.sub.max of 24°C in Hokkaido-Tohoku, 25°C in Kanto, Kansai, and Chugoku, 26°C in Chubu, 27°C in Shikoku, and 28°C in Kyushu-Okinawa. Further, Poisson regression analysis revealed that the relative risks differed across each region and month. These results imply that the hazard classification should be adjusted according to region and month in Japan.</description><subject>Age differences</subject><subject>Air conditioning</subject><subject>Ambulances</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Classification</subject><subject>Computer and Information Sciences</subject><subject>Datasets</subject><subject>Earth Sciences</subject><subject>Ecological studies</subject><subject>Engineering and Technology</subject><subject>Environmental aspects</subject><subject>Health hazards</subject><subject>Health risks</subject><subject>Heat</subject><subject>Heat stroke</subject><subject>Heatstroke</subject><subject>Hydration</subject><subject>Illnesses</subject><subject>Medicine and Health Sciences</subject><subject>Meteorological conditions</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>People and Places</subject><subject>Population</subject><subject>Prevention</subject><subject>Regions</subject><subject>Regression analysis</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Social Sciences</subject><subject>Statistics</subject><subject>Thermoregulation</subject><subject>Time trends (Statistics)</subject><subject>Weather</subject><subject>Weather forecasting</subject><subject>Websites</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6DwQDgujFjPlo0sYLYVj8GFhY0NU7Cafp6UyWTDM2qbj_3oxTZSt7IblIOOfJe5I3OUXxlNElExV7fR3GoQe_3Icel5RXUpXsXnHKtOALxam4f2t9UjyK8ZpSKWqlHhYnQomSa65Pi29XA_ZtJK4nsGtGD71F0rq4h2S3GMmAHhK2JAWyRUjEed9jjKQbwo5wyughk2f9hqx6gjb4sHEWPIlpbG8eFw868BGfTPNZ8eX9u6vzj4uLyw_r89XFwlZCpgVwW0GLpWBSMaC2ZmWJTIhSCI1dW6NU0nLWNhoaxMa2jWq51Ap5IyuQjTgrnh119z5EMzkTDa-EYEyXnGdifSTaANdmP7gdDDcmgDO_A2HYGBiSsx5NVde01rxTUotSQQcIvKK0U4IDBXGo9naqNjY7bC32aQA_E51nerc1m_DDaCV0zess8HISGML3EWMyOxct-uw-hvF4bp4fS1QZff4PevftJmoD-QKu70Kuaw-iZlVxWWohpczU8g4qjxZ3zuZv1Lkcn214NduQmYQ_0wbGGM3686f_Zy-_ztkXt9j8r3zaxuDH5EIf52B5BO0QYhyw-2syo-bQBX_cMIcuMFMXiF_29fYg</recordid><startdate>20221107</startdate><enddate>20221107</enddate><creator>Nakamura, Daisuke</creator><creator>Kinoshita, Hiroki</creator><creator>Asada, Kazuo</creator><creator>Arimitsu, Takuma</creator><creator>Yasumatsu, Mikinobu</creator><creator>Ishiwata, Takayuki</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5241-6225</orcidid></search><sort><creationdate>20221107</creationdate><title>Trends in ambulance dispatches related to heat illness from 2010 to 2019: An ecological study</title><author>Nakamura, Daisuke ; Kinoshita, Hiroki ; Asada, Kazuo ; Arimitsu, Takuma ; Yasumatsu, Mikinobu ; Ishiwata, Takayuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c735t-a2c7ade431561a0c8144e1334339efd8e565c21db9abeebcdb6d2596e2b57a5b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age differences</topic><topic>Air conditioning</topic><topic>Ambulances</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Classification</topic><topic>Computer and Information Sciences</topic><topic>Datasets</topic><topic>Earth Sciences</topic><topic>Ecological studies</topic><topic>Engineering and Technology</topic><topic>Environmental aspects</topic><topic>Health hazards</topic><topic>Health risks</topic><topic>Heat</topic><topic>Heat stroke</topic><topic>Heatstroke</topic><topic>Hydration</topic><topic>Illnesses</topic><topic>Medicine and Health Sciences</topic><topic>Meteorological conditions</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>People and Places</topic><topic>Population</topic><topic>Prevention</topic><topic>Regions</topic><topic>Regression analysis</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Social Sciences</topic><topic>Statistics</topic><topic>Thermoregulation</topic><topic>Time trends (Statistics)</topic><topic>Weather</topic><topic>Weather forecasting</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nakamura, Daisuke</creatorcontrib><creatorcontrib>Kinoshita, Hiroki</creatorcontrib><creatorcontrib>Asada, Kazuo</creatorcontrib><creatorcontrib>Arimitsu, Takuma</creatorcontrib><creatorcontrib>Yasumatsu, Mikinobu</creatorcontrib><creatorcontrib>Ishiwata, Takayuki</creatorcontrib><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nakamura, Daisuke</au><au>Kinoshita, Hiroki</au><au>Asada, Kazuo</au><au>Arimitsu, Takuma</au><au>Yasumatsu, Mikinobu</au><au>Ishiwata, Takayuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trends in ambulance dispatches related to heat illness from 2010 to 2019: An ecological study</atitle><jtitle>PloS one</jtitle><date>2022-11-07</date><risdate>2022</risdate><volume>17</volume><issue>11</issue><spage>e0275641</spage><epage>e0275641</epage><pages>e0275641-e0275641</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Heatstroke is a serious heat-related illness that can even cause death. Heat alert systems play an important role in reducing the number of patients experiencing heat illness, as they encourage preventive actions such as the use of air conditioning, hydration, or other strategies. However, to date, the Japanese hazard classification has not considered seasonal and regional variations, despite clear differences in meteorological conditions across different regions in Japan. Moreover, several studies have reported a difference in thermoregulation between older and younger adults, implying that the hazard classification should also consider age differences. This study examined the relationship between the number of ambulance dispatches related to heat illness (ADRHI) and the Japanese heat hazard classification from 2010 to 2019, focusing on monthly and regional differences. Data from 47 prefectures during the 10-year period were collected and analyzed. ADRHI and wet bulb globe temperature (WBGT) data were collected from Japan's Ministry of Internal Affairs and Communications and the Ministry of the Environment Heat Illness Prevention Information website, respectively. The findings showed a significant relationship between ADRHI and WBGT.sub.max (p < 0.05, r = 0.74). ADRHI per 100,000 people showed significant differences across months. The post hoc test detected the first steep increase in ADRHI at a WBGT.sub.max of 23°C than at 22°C in June, and at a WBGT.sub.max of 26°C, 27°C, and 25°C in July, August, and September, respectively. Moreover, the first significant increase in ADRHI per 100,000 people at WBGT.sub.max differed across each region, at a WBGT.sub.max of 24°C in Hokkaido-Tohoku, 25°C in Kanto, Kansai, and Chugoku, 26°C in Chubu, 27°C in Shikoku, and 28°C in Kyushu-Okinawa. Further, Poisson regression analysis revealed that the relative risks differed across each region and month. These results imply that the hazard classification should be adjusted according to region and month in Japan.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>36342929</pmid><doi>10.1371/journal.pone.0275641</doi><tpages>e0275641</tpages><orcidid>https://orcid.org/0000-0001-5241-6225</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2022-11, Vol.17 (11), p.e0275641-e0275641 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2733119422 |
| source | Public Library of Science (PLoS) Journals Open Access; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Age differences Air conditioning Ambulances Analysis Biology and Life Sciences Classification Computer and Information Sciences Datasets Earth Sciences Ecological studies Engineering and Technology Environmental aspects Health hazards Health risks Heat Heat stroke Heatstroke Hydration Illnesses Medicine and Health Sciences Meteorological conditions Morbidity Mortality People and Places Population Prevention Regions Regression analysis Risk assessment Risk factors Social Sciences Statistics Thermoregulation Time trends (Statistics) Weather Weather forecasting Websites |
| title | Trends in ambulance dispatches related to heat illness from 2010 to 2019: An ecological study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T13%3A51%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Trends%20in%20ambulance%20dispatches%20related%20to%20heat%20illness%20from%202010%20to%202019:%20An%20ecological%20study&rft.jtitle=PloS%20one&rft.au=Nakamura,%20Daisuke&rft.date=2022-11-07&rft.volume=17&rft.issue=11&rft.spage=e0275641&rft.epage=e0275641&rft.pages=e0275641-e0275641&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0275641&rft_dat=%3Cgale_plos_%3EA725493555%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2733119422&rft_id=info:pmid/36342929&rft_galeid=A725493555&rft_doaj_id=oai_doaj_org_article_7880892f659346afaea2700f632a0a3b&rfr_iscdi=true |