Heat wave characteristics, mortality and effect modification by temperature zones: a time-series study in 130 counties of China

被引:48
作者
Sun, Zhiying [1 ]
Chen, Chen [1 ]
Yan, Meilin [2 ,3 ,4 ]
Shi, Wanying [1 ]
Wang, Jiaonan [1 ]
Ban, Jie [1 ]
Sun, Qinghua
He, Mike Z. [1 ,5 ]
Li, Tiantian [1 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, China Cdc Key Lab Environm & Populat Hlth, Beijing 100021, Peoples R China
[2] Colorado State Univ, Dept Environm & Radiol Hlth Sci, Ft Collins, CO USA
[3] Peking Univ, Coll Environm Sci & Engn, Beijing Innovat Ctr Engn Sci & Adv Technol & Stat, Beijing, Peoples R China
[4] Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing, Peoples R China
[5] Columbia Univ, Dept Environm Hlth Sci, Mailman Sch Publ Hlth, New York, NY USA
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Heat waves; mortality; cardiovascular disease; temperature zone; AMBIENT-TEMPERATURE; EXCESS MORTALITY; IMPACT; MODIFIERS; COLD; DEFINITIONS; HEATWAVES; SUMMER; CITIES; RISK;
D O I
10.1093/ije/dyaa104
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The substantial disease burden attributed to heat waves, and their increasing frequency and intensity due to climate change, highlight the importance of understanding the health consequences of heat waves. We explore the mortality risk due to heat wave characteristics, including the timing in the seasons, the day of the heat wave, the intensity and the duration, and the modifying effect of temperature zones. Methods: Heat waves were defined as >= 2 days with a temperature >= 99th percentile for the county from 1 May through 30 September. Heat waves were characterized by their intensity, duration, timing in the season, and day of the heat wave. Within each county, we estimated the total non-accidental death and cardiovascular disease mortality during each heat wave compared with non-heat wave days by controlling for potential confounders in summer. We combined individual heat wave effect estimates using a random-effects model to calculate overall effects at the temperature zone and national levels. Results: The average daily total number of non-accidental deaths was nine in the warm season (across all the counties). Approximately half of the daily total number of nonaccidental deaths were cardiovascular-related deaths (approximately four persons per day). The average and maximum temperatures across the study area were 23.1 degrees C (range: -1.2-35.9 degrees C) and 28.3 degrees C (range: 5.4-42.8 degrees C), respectively. The average relative humidity during the study was 68.9% (range: 8.0-100.0%). Heat waves increase the risk of total non-accidental death by 15.7% [95% confidence interval (CI): 12.5, 18.9] compared with non-heat wave periods, and the risk of cardiovascular-related death increases by 22.0% (95% CI: 16.9, 27.4). The risk of non-accidental death during the first heat wave of the season increases by 16.3% (95% CI: 12.6, 20.2), the risk during the second heat wave increases by 6.3% (95% CI: 2.8, 9.9) and during subsequent heat waves increases by - 2.1% (95% CI: -4.6, 0.4). The first day and the second to third days of heat waves increase the risk of total non-accidental death by 11.7% (95% CI: 7.6, 15.9) and 17.0% (95% CI: 13.1, 21.0), respectively. Effects of heat waves on mortality lasted more than 4 days (6.3%, 95% CI: 2.4, 10.5) and are non-significantly different from the first day of heat waves. We found non-significant differences of the heat wave-associated mortality risks across mid-, warm and subtropical temperature zones. Conclusions: In China, the effect of heat waves on mortality is acute, and varies by certain characteristics of heat waves. Given these results, national heat wave early warning systems should be developed, as well as precautions and protection warranted according to characteristics of heat waves.
引用
收藏
页码:1813 / 1822
页数:10
相关论文
共 42 条
  • [1] Ahmadnezhad E, 2013, J RES HEALTH SCI, V13, P24
  • [2] Weather-Related Mortality How Heat, Cold, and Heat Waves Affect Mortality in the United States
    Anderson, Brooke G.
    Bell, Michelle L.
    [J]. EPIDEMIOLOGY, 2009, 20 (02) : 205 - 213
  • [3] Heat Waves in the United States: Mortality Risk during Heat Waves and Effect Modification by Heat Wave Characteristics in 43 U.S. Communities
    Anderson, G. Brooke
    Bell, Michelle L.
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2011, 119 (02) : 210 - 218
  • [4] Heat wave impact on morbidity and mortality in the elderly population: A review of recent studies
    Astrom, Daniel Oudin
    Forsberg, Bertil
    Rocklov, Joacim
    [J]. MATURITAS, 2011, 69 (02) : 99 - 105
  • [5] Baccini M, 2008, EPIDEMIOLOGY, V19, P711, DOI 10.1097/EDE.0b013e318176bfcd
  • [6] Cold and heat waves in the United States
    Barnett, A. G.
    Hajat, S.
    Gasparrini, A.
    Rocklov, J.
    [J]. ENVIRONMENTAL RESEARCH, 2012, 112 : 218 - 224
  • [7] Effects of ambient temperature on the incidence of myocardial infarction
    Bhaskaran, K.
    Hajat, S.
    Haines, A.
    Herrett, E.
    Wilkinson, P.
    Smeeth, L.
    [J]. HEART, 2009, 95 (21) : 1760 - 1769
  • [8] Influence of heat wave definitions to the added effect of heat waves on daily mortality in Nanjing, China
    Chen, Kai
    Bi, Jun
    Chen, Jin
    Chen, Xiaodong
    Huang, Lei
    Zhou, Lian
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2015, 506 : 18 - 25
  • [9] Epidemiologic study of mortality during the Summer 2003 heat wave in Italy
    Conti, S
    Meli, P
    Minelli, G
    Solimini, R
    Toccaceli, V
    Vichi, M
    Beltrano, C
    Perini, L
    [J]. ENVIRONMENTAL RESEARCH, 2005, 98 (03) : 390 - 399
  • [10] Reducing and meta-analysing estimates from distributed lag non-linear models
    Gasparrini, Antonio
    Armstrong, Ben
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2013, 13