Conţinutul numărului revistei |
Articolul precedent |
Articolul urmator |
![]() |
![]() ![]() |
![]() WEN, Bo, WU, Yao, GUO, Yuming, GASPARRINI, Antonio, TONG, Shilu, OVERCENCO, Ala, URBAN, Aleas, SCHNEIDER, Alexandra E., ENTEZARI, Alireza, VICEDO-CABRERA, Ana Maria , ZANOBETTI, Antonella, ANALITIS, Antonis, NOI, Autori. Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study. In: Environment International, 2024, vol. 187, pp. 1-13. ISSN 0160-4120. DOI: https://doi.org/10.1016/j.envint.2024.108712 |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Environment International | |
Volumul 187 / 2024 / ISSN 0160-4120 /ISSNe 1873-6750 | |
|
|
DOI:https://doi.org/10.1016/j.envint.2024.108712 | |
Pag. 1-13 | |
![]() |
|
Rezumat | |
Background: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. Objectives: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. Methods: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. Results: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV0–7 (0.9 °C). An IQR increase in inter-day TV0–7 (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV0–7 and inter-day TV0–7 was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. Conclusions: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health. |
|
Cuvinte-cheie cardiovascular mortality, Confidence interval, Inter quartile ranges, Inter-day, Intra-day, mortality, mortality risk, standard deviation, temperature variability, Times series |
|
|
DataCite XML Export
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns='http://datacite.org/schema/kernel-3' xsi:schemaLocation='http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd'> <identifier identifierType='DOI'>10.1016/j.envint.2024.108712</identifier> <creators> <creator> <creatorName>Wen, B.</creatorName> <affiliation>Monash University, Melbourne, Australia</affiliation> </creator> <creator> <creatorName>Wu, Y.</creatorName> <affiliation>Monash University, Melbourne, Australia</affiliation> </creator> <creator> <creatorName>Guo, Y.</creatorName> <affiliation>Monash University, Melbourne, Australia</affiliation> </creator> <creator> <creatorName>Gasparrini, A.</creatorName> <affiliation>London School of Hygiene and Tropical Medicine, Regatul Unit</affiliation> </creator> <creator> <creatorName>Tong, S.</creatorName> <affiliation>Shanghai Jiao Tong University, China</affiliation> </creator> <creator> <creatorName>Overcenco, A.V.</creatorName> <affiliation>Agenţia Naţională pentru Sănătate Publică, Moldova, Republica</affiliation> </creator> <creator> <creatorName>Urban, A.</creatorName> <affiliation>Academia Cehă de Științe, Cehia</affiliation> </creator> <creator> <creatorName>Schneider, A.</creatorName> <affiliation>Helmholtz Center Munich German Research Center for Environmental Health, Germania</affiliation> </creator> <creator> <creatorName>Entezari, A.</creatorName> <affiliation>Hakim Sabzevari University, Iran</affiliation> </creator> <creator> <creatorName>Vicedo-Cabrera, A.</creatorName> <affiliation>London School of Hygiene and Tropical Medicine, Regatul Unit</affiliation> </creator> <creator> <creatorName>Zanobetti, A.</creatorName> <affiliation>Howard University, Statele Unite ale Americii</affiliation> </creator> <creator> <creatorName>Analitis, A.</creatorName> <affiliation>National and Kapodistrian University of Athens (N.K.U.A.), Grecia</affiliation> </creator> <creator> <creatorName>Noi, A.</creatorName> </creator> </creators> <titles> <title xml:lang='en'>Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study</title> </titles> <publisher>Instrumentul Bibliometric National</publisher> <publicationYear>2024</publicationYear> <relatedIdentifier relatedIdentifierType='ISSN' relationType='IsPartOf'>0160-4120</relatedIdentifier> <subjects> <subject>cardiovascular mortality</subject> <subject>Confidence interval</subject> <subject>Inter quartile ranges</subject> <subject>Inter-day</subject> <subject>Intra-day</subject> <subject>mortality</subject> <subject>mortality risk</subject> <subject>standard deviation</subject> <subject>temperature variability</subject> <subject>Times series</subject> </subjects> <dates> <date dateType='Issued'>2024-05-01</date> </dates> <resourceType resourceTypeGeneral='Text'>Journal article</resourceType> <descriptions> <description xml:lang='en' descriptionType='Abstract'><p>Background: Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects. Objectives: We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality. Methods: We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for each location. In the second stage, a multi-level analysis was used to pool the location-specific estimates. Results: Overall, the mortality risk due to each interquartile range [IQR] increase was higher for intra-day TV than for inter-day TV. The risk increased by 0.59% (95% confidence interval [CI]: 0.53, 0.65) for all-cause mortality, 0.64% (95% CI: 0.56, 0.73) for cardiovascular mortality, and 0.65% (95% CI: 0.49, 0.80) for respiratory mortality per IQR increase in intra-day TV<sub>0–7</sub> (0.9 °C). An IQR increase in inter-day TV<sub>0–7</sub> (1.6 °C) was associated with 0.22% (95% CI: 0.18, 0.26) increase in all-cause mortality, 0.44% (95% CI: 0.37, 0.50) increase in cardiovascular mortality, and 0.31% (95% CI: 0.21, 0.41) increase in respiratory mortality. The proportion of all-cause deaths attributable to intra-day TV<sub>0–7</sub> and inter-day TV<sub>0–7</sub> was 1.45% and 0.35%, respectively. The mortality risks varied by lag interval, climate area, season, and climate type. Conclusions: Our results indicated that intra-day TV may explain the main part of the mortality risk related to TV and suggested that comprehensive evaluations should be proposed in more countries to help protect human health. </p></description> </descriptions> <formats> <format>application/pdf</format> </formats> </resource>