Mortality risk attributable to high and low ambient temperature: a multicountry observational study

被引:1823
作者
Gasparrini, Antonio [1 ]
Guo, Yuming [3 ]
Hashizume, Masahiro [4 ]
Lavigne, Eric [5 ]
Zanobetti, Antonella [6 ]
Schwartz, Joel [6 ]
Tobias, Aurelio [7 ]
Tong, Shilu [8 ]
Rocklov, Joacim [9 ]
Forsberg, Bertil [9 ]
Leone, Michela [10 ]
De Sario, Manuela [10 ]
Bell, Michelle L. [11 ]
Guo, Yue-Liang Leon [12 ]
Wu, Chang-fu [13 ]
Kan, Haidong [14 ]
Yi, Seung-Muk [15 ,16 ]
Zanotti Stagliorio Coelho, Micheline de Sousa [17 ]
Nascimento Saldiva, Paulo Hilario [17 ]
Honda, Yasushi [18 ]
Kim, Ho [15 ,16 ]
Armstrong, Ben [2 ]
机构
[1] Univ London London Sch Hyg & Trop Med, Dept Med Stat, London WC1E 7HT, England
[2] Univ London London Sch Hyg & Trop Med, Dept Social & Environm Hlth Res, London WC1E 7HT, England
[3] Univ Queensland, Dept Epidemiol & Biostat, Sch Populat Hlth, Brisbane, Qld, Australia
[4] Nagasaki Univ, Dept Pediat Infect Dis, Inst Trop Med, Nagasaki 852, Japan
[5] Univ Ottawa, Interdisciplinary Sch Hlth Sci, Ottawa, ON, Canada
[6] Harvard Univ, Sch Publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA
[7] Spanish Council Sci Res CSIC, Inst Environm Assessment & Water Res IDAEA, Barcelona, Spain
[8] Queensland Univ Technol, Sch Publ Hlth & Social Work, Brisbane, Qld 4001, Australia
[9] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden
[10] Lazio Reg Hlth Serv, Dept Epidemiol, Rome, Italy
[11] Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA
[12] Natl Taiwan Univ, Dept Environm & Occupat Med, Taipei 10764, Taiwan
[13] Natl Taiwan Univ, Dept Publ Hlth, Taipei 10764, Taiwan
[14] Fudan Univ, Dept Environm Hlth, Shanghai 200433, Peoples R China
[15] Seoul Natl Univ, Grad Sch Publ Hlth, Seoul, South Korea
[16] Seoul Natl Univ, Inst Hlth & Environm, Seoul, South Korea
[17] Univ Sao Paulo, Sch Med, Dept Pathol, Sao Paulo, Brazil
[18] Univ Tsukuba, Fac Hlth & Sport Sci, Tsukuba, Ibaraki, Japan
基金
英国医学研究理事会; 新加坡国家研究基金会; 澳大利亚国家健康与医学研究理事会;
关键词
RED-CELL COUNTS; HEAT WAVES; BLOOD-VISCOSITY; WEATHER; IMPACT; COLD; PLATELET; CORONARY; ENGLAND;
D O I
10.1016/S0140-6736(14)62114-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Although studies have provided estimates of premature deaths attributable to either heat or cold in selected countries, none has so far offered a systematic assessment across the whole temperature range in populations exposed to different climates. We aimed to quantify the total mortality burden attributable to non-optimum ambient temperature, and the relative contributions from heat and cold and from moderate and extreme temperatures. Methods We collected data for 384 locations in Australia, Brazil, Canada, China, Italy, Japan, South Korea, Spain, Sweden, Taiwan, Thailand, UK, and USA. We fitted a standard time-series Poisson model for each location, controlling for trends and day of the week. We estimated temperature-mortality associations with a distributed lag non-linear model with 21 days of lag, and then pooled them in a multivariate metaregression that included country indicators and temperature average and range. We calculated attributable deaths for heat and cold, defined as temperatures above and below the optimum temperature, which corresponded to the point of minimum mortality, and for moderate and extreme temperatures, defined using cutoffs at the 2.5th and 97.5th temperature percentiles. Findings We analysed 74 225 200 deaths in various periods between 1985 and 2012. In total, 7.71% (95% empirical CI 7.43-7.91) of mortality was attributable to non-optimum temperature in the selected countries within the study period, with substantial differences between countries, ranging from 3.37% (3.06 to 3.63) in Thailand to 11.00% (9.29 to 12.47) in China. The temperature percentile of minimum mortality varied from roughly the 60th percentile in tropical areas to about the 80-90th percentile in temperate regions. More temperature-attributable deaths were caused by cold (7.29%, 7.02-7.49) than by heat (0.42%, 0.39-0.44). Extreme cold and hot temperatures were responsible for 0.86% (0.84-0.87) of total mortality. Interpretation Most of the temperature-related mortality burden was attributable to the contribution of cold. The effect of days of extreme temperature was substantially less than that attributable to milder but non-optimum weather. This evidence has important implications for the planning of public-health interventions to minimise the health consequences of adverse temperatures, and for predictions of future effect in climate-change scenarios. Copyright (C) Gasparrini et al. Open Access article distributed under the terms of CC BY.
引用
收藏
页码:369 / 375
页数:7
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