Global spatiotemporal trends of cardiovascular diseases due to temperature in different climates and socio-demographic index regions from 1990 to 2019

With the rapidly changing climate, assessing the global trends of cardiovascular diseases (CVDs) attributed to high and low temperatures in different climate zones and under varying socio-demographic levels is crucial for regulations, preparation, intervention, and clinical practice for CVD. Our stu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental science and pollution research international 2023, Vol.30 (2), p.3282-3292
Hauptverfasser: Liu, Ce, Luo, Bin, Wang, Bo, He, Li, Wu, Huanmei, Hou, Lifang, Zhang, Kai
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3292
container_issue 2
container_start_page 3282
container_title Environmental science and pollution research international
container_volume 30
creator Liu, Ce
Luo, Bin
Wang, Bo
He, Li
Wu, Huanmei
Hou, Lifang
Zhang, Kai
description With the rapidly changing climate, assessing the global trends of cardiovascular diseases (CVDs) attributed to high and low temperatures in different climate zones and under varying socio-demographic levels is crucial for regulations, preparation, intervention, and clinical practice for CVD. Our study included 204 countries with global CVD data ranging from 1990 to 2019. We obtained the age-standardized mortality rate ( ASMR ); disability-adjusted life rate of CVD attributed to high, low, and non-optimal temperatures; and socio-demographic index ( SDI ) data from the Global Health Data Exchange. We also downloaded the temperature data from the Climatic Research Unit. These 204 countries were divided into five climate zones and five SDI levels according to the annual average temperature data and SDI in 2019. The temporal trends of CVD burden attributed to high, low, and non-optimal temperatures were estimated by using the cubic regression spline and the generalized additive mixed model (GAMM). The total burden of temperature-related CVD has been declining in the last 30 years. However, the burden of CVD attributed to high temperature showed an increasing trend. Among different climate regions, the ASMR s of CVD attributed to high temperature were the highest in the tropical regions, followed by subtropical regions, and the lowest in the boreal regions. In the past 30 years, the burden of CVD attributed to high temperatures has shown a significant increasing trend, while declining trends are observed for non-optimal and low temperatures. The CVD burden attributed to high temperatures is particularly pronounced in warmer and low- SDI regions with an increasing trend of CVD burden due to high temperature.
doi_str_mv 10.1007/s11356-022-22407-z
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2771489842</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2771489842</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-a51e3c9ae87657c0861ca3ad666dc5efa60799ee1fbcca6ae9ab08ec5d334a6b3</originalsourceid><addsrcrecordid>eNp9kc1u1TAQRi0EopeWF2CBLLFhE_Bf7HiJKiiVKnVD19bEnlxcJXGwE0T7IH1efLkFJBasLGvO99maQ8grzt5xxsz7wrlsdcOEaIRQzDT3T8iOa64ao6x9SnbMKtVwqdQJeVHKLWOCWWGekxPZWtVKbnbk4WJMPYy0LLDGtOK0pFyva8Y5FJoG6iGHmL5D8dsImYZYEAoWGjaka6KHBGZYt4w0znU8DFizK_VjnGCtIMyBluRjagJOaZ9h-Rp9ZQP-oBn3Mc2FDjlNlFvLDpWCcXtGng0wFnz5eJ6Sm08fv5x_bq6uLy7PP1w1XrFubaDlKL0F7IxujWed5h4kBK118C0OoJmxFpEPvfegAS30rEPfBikV6F6ekrfH3iWnbxuW1U2xeBxHmDFtxYmuNvO6W1XRN_-gt2nLc_2dE8Zw1dlOiUqJI-VzKiXj4JZcF5HvHGfuYM0drblqzf2y5u5r6PVj9dZPGP5EfmuqgDwCpY7mPea_b_-n9idesKXG</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2771489842</pqid></control><display><type>article</type><title>Global spatiotemporal trends of cardiovascular diseases due to temperature in different climates and socio-demographic index regions from 1990 to 2019</title><source>MEDLINE</source><source>SpringerLink (Online service)</source><creator>Liu, Ce ; Luo, Bin ; Wang, Bo ; He, Li ; Wu, Huanmei ; Hou, Lifang ; Zhang, Kai</creator><creatorcontrib>Liu, Ce ; Luo, Bin ; Wang, Bo ; He, Li ; Wu, Huanmei ; Hou, Lifang ; Zhang, Kai</creatorcontrib><description>With the rapidly changing climate, assessing the global trends of cardiovascular diseases (CVDs) attributed to high and low temperatures in different climate zones and under varying socio-demographic levels is crucial for regulations, preparation, intervention, and clinical practice for CVD. Our study included 204 countries with global CVD data ranging from 1990 to 2019. We obtained the age-standardized mortality rate ( ASMR ); disability-adjusted life rate of CVD attributed to high, low, and non-optimal temperatures; and socio-demographic index ( SDI ) data from the Global Health Data Exchange. We also downloaded the temperature data from the Climatic Research Unit. These 204 countries were divided into five climate zones and five SDI levels according to the annual average temperature data and SDI in 2019. The temporal trends of CVD burden attributed to high, low, and non-optimal temperatures were estimated by using the cubic regression spline and the generalized additive mixed model (GAMM). The total burden of temperature-related CVD has been declining in the last 30 years. However, the burden of CVD attributed to high temperature showed an increasing trend. Among different climate regions, the ASMR s of CVD attributed to high temperature were the highest in the tropical regions, followed by subtropical regions, and the lowest in the boreal regions. In the past 30 years, the burden of CVD attributed to high temperatures has shown a significant increasing trend, while declining trends are observed for non-optimal and low temperatures. The CVD burden attributed to high temperatures is particularly pronounced in warmer and low- SDI regions with an increasing trend of CVD burden due to high temperature.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-22407-z</identifier><identifier>PMID: 35945317</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; Climate ; Climate change ; Data exchange ; Demographics ; Demography ; Disabled Persons ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Global Burden of Disease ; Global Health ; High temperature ; Humans ; Life Expectancy ; Low temperature ; mortality ; Public health ; Quality-Adjusted Life Years ; Research Article ; Sociodemographics ; statistical models ; Temperature ; Trends ; Tropical environment ; Tropical environments ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2023, Vol.30 (2), p.3282-3292</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-a51e3c9ae87657c0861ca3ad666dc5efa60799ee1fbcca6ae9ab08ec5d334a6b3</citedby><cites>FETCH-LOGICAL-c408t-a51e3c9ae87657c0861ca3ad666dc5efa60799ee1fbcca6ae9ab08ec5d334a6b3</cites><orcidid>0000-0001-9324-8942</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/s11356-022-22407-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-022-22407-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35945317$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Ce</creatorcontrib><creatorcontrib>Luo, Bin</creatorcontrib><creatorcontrib>Wang, Bo</creatorcontrib><creatorcontrib>He, Li</creatorcontrib><creatorcontrib>Wu, Huanmei</creatorcontrib><creatorcontrib>Hou, Lifang</creatorcontrib><creatorcontrib>Zhang, Kai</creatorcontrib><title>Global spatiotemporal trends of cardiovascular diseases due to temperature in different climates and socio-demographic index regions from 1990 to 2019</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>With the rapidly changing climate, assessing the global trends of cardiovascular diseases (CVDs) attributed to high and low temperatures in different climate zones and under varying socio-demographic levels is crucial for regulations, preparation, intervention, and clinical practice for CVD. Our study included 204 countries with global CVD data ranging from 1990 to 2019. We obtained the age-standardized mortality rate ( ASMR ); disability-adjusted life rate of CVD attributed to high, low, and non-optimal temperatures; and socio-demographic index ( SDI ) data from the Global Health Data Exchange. We also downloaded the temperature data from the Climatic Research Unit. These 204 countries were divided into five climate zones and five SDI levels according to the annual average temperature data and SDI in 2019. The temporal trends of CVD burden attributed to high, low, and non-optimal temperatures were estimated by using the cubic regression spline and the generalized additive mixed model (GAMM). The total burden of temperature-related CVD has been declining in the last 30 years. However, the burden of CVD attributed to high temperature showed an increasing trend. Among different climate regions, the ASMR s of CVD attributed to high temperature were the highest in the tropical regions, followed by subtropical regions, and the lowest in the boreal regions. In the past 30 years, the burden of CVD attributed to high temperatures has shown a significant increasing trend, while declining trends are observed for non-optimal and low temperatures. The CVD burden attributed to high temperatures is particularly pronounced in warmer and low- SDI regions with an increasing trend of CVD burden due to high temperature.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Climate</subject><subject>Climate change</subject><subject>Data exchange</subject><subject>Demographics</subject><subject>Demography</subject><subject>Disabled Persons</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Global Burden of Disease</subject><subject>Global Health</subject><subject>High temperature</subject><subject>Humans</subject><subject>Life Expectancy</subject><subject>Low temperature</subject><subject>mortality</subject><subject>Public health</subject><subject>Quality-Adjusted Life Years</subject><subject>Research Article</subject><subject>Sociodemographics</subject><subject>statistical models</subject><subject>Temperature</subject><subject>Trends</subject><subject>Tropical environment</subject><subject>Tropical environments</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</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>eNp9kc1u1TAQRi0EopeWF2CBLLFhE_Bf7HiJKiiVKnVD19bEnlxcJXGwE0T7IH1efLkFJBasLGvO99maQ8grzt5xxsz7wrlsdcOEaIRQzDT3T8iOa64ao6x9SnbMKtVwqdQJeVHKLWOCWWGekxPZWtVKbnbk4WJMPYy0LLDGtOK0pFyva8Y5FJoG6iGHmL5D8dsImYZYEAoWGjaka6KHBGZYt4w0znU8DFizK_VjnGCtIMyBluRjagJOaZ9h-Rp9ZQP-oBn3Mc2FDjlNlFvLDpWCcXtGng0wFnz5eJ6Sm08fv5x_bq6uLy7PP1w1XrFubaDlKL0F7IxujWed5h4kBK118C0OoJmxFpEPvfegAS30rEPfBikV6F6ekrfH3iWnbxuW1U2xeBxHmDFtxYmuNvO6W1XRN_-gt2nLc_2dE8Zw1dlOiUqJI-VzKiXj4JZcF5HvHGfuYM0drblqzf2y5u5r6PVj9dZPGP5EfmuqgDwCpY7mPea_b_-n9idesKXG</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Liu, Ce</creator><creator>Luo, Bin</creator><creator>Wang, Bo</creator><creator>He, Li</creator><creator>Wu, Huanmei</creator><creator>Hou, Lifang</creator><creator>Zhang, Kai</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-9324-8942</orcidid></search><sort><creationdate>2023</creationdate><title>Global spatiotemporal trends of cardiovascular diseases due to temperature in different climates and socio-demographic index regions from 1990 to 2019</title><author>Liu, Ce ; Luo, Bin ; Wang, Bo ; He, Li ; Wu, Huanmei ; Hou, Lifang ; Zhang, Kai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-a51e3c9ae87657c0861ca3ad666dc5efa60799ee1fbcca6ae9ab08ec5d334a6b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Climate</topic><topic>Climate change</topic><topic>Data exchange</topic><topic>Demographics</topic><topic>Demography</topic><topic>Disabled Persons</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental science</topic><topic>Global Burden of Disease</topic><topic>Global Health</topic><topic>High temperature</topic><topic>Humans</topic><topic>Life Expectancy</topic><topic>Low temperature</topic><topic>mortality</topic><topic>Public health</topic><topic>Quality-Adjusted Life Years</topic><topic>Research Article</topic><topic>Sociodemographics</topic><topic>statistical models</topic><topic>Temperature</topic><topic>Trends</topic><topic>Tropical environment</topic><topic>Tropical environments</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Ce</creatorcontrib><creatorcontrib>Luo, Bin</creatorcontrib><creatorcontrib>Wang, Bo</creatorcontrib><creatorcontrib>He, Li</creatorcontrib><creatorcontrib>Wu, Huanmei</creatorcontrib><creatorcontrib>Hou, Lifang</creatorcontrib><creatorcontrib>Zhang, Kai</creatorcontrib><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>One Business</collection><collection>ProQuest One Business (Alumni)</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>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Ce</au><au>Luo, Bin</au><au>Wang, Bo</au><au>He, Li</au><au>Wu, Huanmei</au><au>Hou, Lifang</au><au>Zhang, Kai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global spatiotemporal trends of cardiovascular diseases due to temperature in different climates and socio-demographic index regions from 1990 to 2019</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2023</date><risdate>2023</risdate><volume>30</volume><issue>2</issue><spage>3282</spage><epage>3292</epage><pages>3282-3292</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>With the rapidly changing climate, assessing the global trends of cardiovascular diseases (CVDs) attributed to high and low temperatures in different climate zones and under varying socio-demographic levels is crucial for regulations, preparation, intervention, and clinical practice for CVD. Our study included 204 countries with global CVD data ranging from 1990 to 2019. We obtained the age-standardized mortality rate ( ASMR ); disability-adjusted life rate of CVD attributed to high, low, and non-optimal temperatures; and socio-demographic index ( SDI ) data from the Global Health Data Exchange. We also downloaded the temperature data from the Climatic Research Unit. These 204 countries were divided into five climate zones and five SDI levels according to the annual average temperature data and SDI in 2019. The temporal trends of CVD burden attributed to high, low, and non-optimal temperatures were estimated by using the cubic regression spline and the generalized additive mixed model (GAMM). The total burden of temperature-related CVD has been declining in the last 30 years. However, the burden of CVD attributed to high temperature showed an increasing trend. Among different climate regions, the ASMR s of CVD attributed to high temperature were the highest in the tropical regions, followed by subtropical regions, and the lowest in the boreal regions. In the past 30 years, the burden of CVD attributed to high temperatures has shown a significant increasing trend, while declining trends are observed for non-optimal and low temperatures. The CVD burden attributed to high temperatures is particularly pronounced in warmer and low- SDI regions with an increasing trend of CVD burden due to high temperature.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35945317</pmid><doi>10.1007/s11356-022-22407-z</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-9324-8942</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0944-1344
ispartof Environmental science and pollution research international, 2023, Vol.30 (2), p.3282-3292
issn 0944-1344
1614-7499
language eng
recordid cdi_proquest_journals_2771489842
source MEDLINE; SpringerLink (Online service)
subjects Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Cardiovascular diseases
Cardiovascular Diseases - epidemiology
Climate
Climate change
Data exchange
Demographics
Demography
Disabled Persons
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Global Burden of Disease
Global Health
High temperature
Humans
Life Expectancy
Low temperature
mortality
Public health
Quality-Adjusted Life Years
Research Article
Sociodemographics
statistical models
Temperature
Trends
Tropical environment
Tropical environments
Waste Water Technology
Water Management
Water Pollution Control
title Global spatiotemporal trends of cardiovascular diseases due to temperature in different climates and socio-demographic index regions from 1990 to 2019
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T22%3A35%3A09IST&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=Global%20spatiotemporal%20trends%20of%20cardiovascular%20diseases%20due%20to%20temperature%20in%20different%20climates%20and%20socio-demographic%20index%20regions%20from%201990%20to%202019&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Liu,%20Ce&rft.date=2023&rft.volume=30&rft.issue=2&rft.spage=3282&rft.epage=3292&rft.pages=3282-3292&rft.issn=0944-1344&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-022-22407-z&rft_dat=%3Cproquest_cross%3E2771489842%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=2771489842&rft_id=info:pmid/35945317&rfr_iscdi=true