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Research Article
Mohd Talib Latif
University Kebangsaan Malaysia
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2339-3321
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This study aims to examine the relationship between daily temperature and mortality in the Klang Valley, Malaysia over the period 2006 – 2015. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM) was used to estimate the association between mean temperature and mortality categories (natural, cardiovascular, and respiratory disease). Particulate matter with aerodynamic diameter below than 10 micrometer (PM10) and surface ozone (O3) has been adjusted as a potential confounding factor. Both cold and heat effects were associated with mortality categories. The relative risks of natural mortality associated with an extreme cold temperature (1st percentile of temperature, 25.2 °C) and an extreme hot temperature (99th percentile of temperature, 30.2 °C) relative to the minimum mortality temperature (28.2 °C) were 1.17 (95% confidence interval (CI): 0.97, 1.41) and 1.11 (95% CI: 0.93, 1.32) for lag 0-21, respectively. Heat effects were immediate whereas cold effects were delayed and lasted longer. People with respiratory diseases, the elderly and women were the most vulnerable groups when it came to the effects of extremely high temperatures. The extreme temperatures did not dramatically change the temperature-mortality risk estimates made before and after adjustments for air pollutant (PM10 and O3) levels.
Keywords
extreme temperature, temperature-related mortality, quasi-poisson, air pollutants
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CURRENT STATUS: Under Review
Version 1
Posted 13 Apr, 2021
No community comments so far
Editorial decision: Major Revision
On 29 Apr, 2021
Reviewers invited
Invitations sent on 08 Apr, 2021
Editor assigned
On 31 Mar, 2021
First submitted
On 30 Mar, 2021
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Subject Areas
Environmental Engineering
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This preprint is under consideration at Environmental Science and Pollution Research. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Mohd Talib Latif
University Kebangsaan Malaysia
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2339-3321
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 13 Apr, 2021
No community comments so far
Editorial decision: Major Revision
On 29 Apr, 2021
Reviewers invited
Invitations sent on 08 Apr, 2021
Editor assigned
On 31 Mar, 2021
First submitted
On 30 Mar, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Environmental Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
This study aims to examine the relationship between daily temperature and mortality in the Klang Valley, Malaysia over the period 2006 – 2015. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM) was used to estimate the association between mean temperature and mortality categories (natural, cardiovascular, and respiratory disease). Particulate matter with aerodynamic diameter below than 10 micrometer (PM10) and surface ozone (O3) has been adjusted as a potential confounding factor. Both cold and heat effects were associated with mortality categories. The relative risks of natural mortality associated with an extreme cold temperature (1st percentile of temperature, 25.2 °C) and an extreme hot temperature (99th percentile of temperature, 30.2 °C) relative to the minimum mortality temperature (28.2 °C) were 1.17 (95% confidence interval (CI): 0.97, 1.41) and 1.11 (95% CI: 0.93, 1.32) for lag 0-21, respectively. Heat effects were immediate whereas cold effects were delayed and lasted longer. People with respiratory diseases, the elderly and women were the most vulnerable groups when it came to the effects of extremely high temperatures. The extreme temperatures did not dramatically change the temperature-mortality risk estimates made before and after adjustments for air pollutant (PM10 and O3) levels.
Figure 1
Figure 2
Figure 3
This is a list of supplementary files associated with this preprint. Click to download.
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