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Article: Cause-specific mortality attributable to cold and hot ambient temperatures in Hong Kong: a time-series study, 2006–2016

TitleCause-specific mortality attributable to cold and hot ambient temperatures in Hong Kong: a time-series study, 2006–2016
Authors
KeywordsTemperature
Cause-specific Mortality
Attributable Risk
Time-series
Hong Kong
Issue Date2020
PublisherElsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/
Citation
Sustainable Cities and Society, 2020, v. 57, p. article no. 102131 How to Cite?
AbstractBackground This study aimed to quantify the mortality burden attributable to non-optimal cold and hot conditions from moderate and extreme temperatures in Hong Kong during 2006-2016. Methods The association between mortality and daily mean temperature was assessed using a distributed lag non-linear model (DLNM) integrated with a quasi-Poisson model. The cumulated effects of cold and hot temperature were firstly quantified. The attributable risks of non-optimal ambient temperature on deaths by cause-specific mortality and age groups were then estimated. Results A reversed J-shaped relationship was found between temperature and total mortality. The highest increase in risk was at extreme cold, with the highest relative risk (RR) for injuries of 2.18 (95%CI: 1.03-4.62), followed by the respiratory and circulatory system diseases for lag 0-21 days. Cold temperature was associated with a greater burden of death than hot temperature, with attributable fractions (AF) of 4.72% and 0.16%, respectively. Moderate temperatures played a major role in all-cause mortality with AF of 4.25%, and 0.63% for extreme temperature. Conclusions Most of the temperature-related mortality burden was attributed to moderate weather, suggesting relevant temperature-related preventive strategies and measurements should be implemented to minimize the negative impact of temperatures on population health, particularly for vulnerable sub-populations.
Persistent Identifierhttp://hdl.handle.net/10722/287943
ISSN
2023 Impact Factor: 10.5
2023 SCImago Journal Rankings: 2.545
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, J-
dc.contributor.authorHansen, A-
dc.contributor.authorVarghese, B-
dc.contributor.authorLiu, Z-
dc.contributor.authorTong, M-
dc.contributor.authorQiu, H-
dc.contributor.authorTian, L-
dc.contributor.authorLau, KKL-
dc.contributor.authorNg, E-
dc.contributor.authorRen, C-
dc.contributor.authorBi, P-
dc.date.accessioned2020-10-05T12:05:31Z-
dc.date.available2020-10-05T12:05:31Z-
dc.date.issued2020-
dc.identifier.citationSustainable Cities and Society, 2020, v. 57, p. article no. 102131-
dc.identifier.issn2210-6707-
dc.identifier.urihttp://hdl.handle.net/10722/287943-
dc.description.abstractBackground This study aimed to quantify the mortality burden attributable to non-optimal cold and hot conditions from moderate and extreme temperatures in Hong Kong during 2006-2016. Methods The association between mortality and daily mean temperature was assessed using a distributed lag non-linear model (DLNM) integrated with a quasi-Poisson model. The cumulated effects of cold and hot temperature were firstly quantified. The attributable risks of non-optimal ambient temperature on deaths by cause-specific mortality and age groups were then estimated. Results A reversed J-shaped relationship was found between temperature and total mortality. The highest increase in risk was at extreme cold, with the highest relative risk (RR) for injuries of 2.18 (95%CI: 1.03-4.62), followed by the respiratory and circulatory system diseases for lag 0-21 days. Cold temperature was associated with a greater burden of death than hot temperature, with attributable fractions (AF) of 4.72% and 0.16%, respectively. Moderate temperatures played a major role in all-cause mortality with AF of 4.25%, and 0.63% for extreme temperature. Conclusions Most of the temperature-related mortality burden was attributed to moderate weather, suggesting relevant temperature-related preventive strategies and measurements should be implemented to minimize the negative impact of temperatures on population health, particularly for vulnerable sub-populations.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/-
dc.relation.ispartofSustainable Cities and Society-
dc.subjectTemperature-
dc.subjectCause-specific Mortality-
dc.subjectAttributable Risk-
dc.subjectTime-series-
dc.subjectHong Kong-
dc.titleCause-specific mortality attributable to cold and hot ambient temperatures in Hong Kong: a time-series study, 2006–2016-
dc.typeArticle-
dc.identifier.emailTian, L: linweit@hku.hk-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.authorityTian, L=rp01991-
dc.identifier.authorityRen, C=rp02447-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.scs.2020.102131-
dc.identifier.scopuseid_2-s2.0-85082514367-
dc.identifier.hkuros315811-
dc.identifier.volume57-
dc.identifier.spagearticle no. 102131-
dc.identifier.epagearticle no. 102131-
dc.identifier.isiWOS:000531581200003-
dc.publisher.placeNetherlands-
dc.identifier.issnl2210-6707-

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