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The effect of various temperature indicators on different mortality categories in a subtropical city of Brisbane, Australia
Yu, Weiwei1; Guo, Yuming1; Ye, Xiaofang1; Wang, Xiaoyu1; Huang, Cunrui1; Pan, Xiaochuan2; Tong, Shilu1
关键词Cardiovascular mortality Respiratory mortality Temperature Lag effect The elderly
刊名SCIENCE OF THE TOTAL ENVIRONMENT
2011-08-15
DOI10.1016/j.scitotenv.2011.05.027
409期:18页:3431-3437
收录类别SCI ; SSCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Environmental Sciences
研究领域[WOS]Environmental Sciences & Ecology
关键词[WOS]HEAT-RELATED MORTALITY ; UNITED-STATES ; AIR-POLLUTION ; WINTER-MORTALITY ; CLIMATE-CHANGE ; CITIES ; WEATHER ; DEATHS ; HEALTH ; COLD
英文摘要

Background: The relationship between temperature and mortality has been explored for decades and many temperature indicators have been applied separately. However, few data are available to show how the effects of different temperature indicators on different mortality categories, particularly in a typical subtropical climate.

Objective: To assess the associations between various temperature indicators and different mortality categories in Brisbane, Australia during 1996-2004.

Methods: We applied two methods to assess the threshold and temperature indicator for each age and death groups: mean temperature and the threshold assessed from all cause mortality was used for all mortality categories; the specific temperature indicator and the threshold for each mortality category were identified separately according to the minimisation of AIC. We conducted polynomial distributed lag non-linear model to identify effect estimates in mortality with one degree of temperature increase (or decrease) above (or below) the threshold on current days and lagged effects using both methods.

Results: Akaike′s Information Criterion was minimized when mean temperature was used for all non-external deaths and deaths from 75 to 84 years; when minimum temperature was used for deaths from 0 to 64 years, 65-74 years, >= 85 years, and from the respiratory diseases; when maximum temperature was used for deaths from cardiovascular diseases. The effect estimates using certain temperature indicators were similar as mean temperature both for current day and lag effects.

Conclusion: Different age groups and death categories were sensitive to different temperature indicators. However, the effect estimates from certain temperature indicators did not significantly differ from those of mean temperature. (C) 2011 Elsevier B.V. All rights reserved.

语种英语
WOS记录号WOS:000293260100020
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/61303
专题北京大学公共卫生学院
作者单位1.Peking Univ, Sch Publ Hlth, Beijing 100191, Peoples R China
2.Queensland Univ Technol, Sch Publ Hlth, Inst Hlth & Biomed Innovat, Brisbane, Qld 4001, Australia
推荐引用方式
GB/T 7714
Yu, Weiwei,Guo, Yuming,Ye, Xiaofang,et al. The effect of various temperature indicators on different mortality categories in a subtropical city of Brisbane, Australia[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2011,409(18):3431-3437.
APA Yu, Weiwei.,Guo, Yuming.,Ye, Xiaofang.,Wang, Xiaoyu.,Huang, Cunrui.,...&Tong, Shilu.(2011).The effect of various temperature indicators on different mortality categories in a subtropical city of Brisbane, Australia.SCIENCE OF THE TOTAL ENVIRONMENT,409(18),3431-3437.
MLA Yu, Weiwei,et al."The effect of various temperature indicators on different mortality categories in a subtropical city of Brisbane, Australia".SCIENCE OF THE TOTAL ENVIRONMENT 409.18(2011):3431-3437.
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