Cold spell and mortality in 31 Chinese capital cities: Definitions, vulnerability and implications

被引:109
作者
Chen, Jinjian [1 ,2 ]
Yang, Jun [2 ]
Zhou, Maigeng [3 ]
Yin, Peng [3 ]
Wang, Boguang [2 ]
Liu, Jiangmei [3 ]
Chen, Zhaoyue [1 ]
Song, Xiuping [4 ]
Ou, Chun-Quan [1 ]
Liu, Qiyong [4 ]
机构
[1] Southern Med Univ, Sch Publ Hlth, Dept Biostat, State Key Lab Organ Failure Res, Guangzhou 510515, Guangdong, Peoples R China
[2] Jinan Univ, Inst Environm & Climate Res, Guangzhou 511443, Guangdong, Peoples R China
[3] Natl Ctr Chron & Noncommunicable Dis Control & Pr, Beijing 100050, Peoples R China
[4] Chinese Ctr Dis Control & Prevent, Collaborat Innovat Ctr Diag & Treatment Infect Di, Natl Inst Communicable Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
Cold spell; Definition; Cause-specific mortality; Vulnerable population; China; AMBIENT-TEMPERATURE; CARDIOVASCULAR MORTALITY; HEAT WAVES; IMPACT; WEATHER; MODELS; RISK;
D O I
10.1016/j.envint.2019.04.049
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: In the context of global warming, most researches have been conducted on health influences of heat waves, with limited understanding of health impacts of cold spells, especially for developing countries. Methods: We collected daily mortality and meteorological data for 31 capital cities across China during the maximum period of 2007-2013. A quasi-Poisson regression model combined with a distributed lag non-linear model was used to estimate the short-term effects of cold spells on mortality in cold seasons (November to March). 19 definitions of cold spell were clearly compared, including three definitions from the China Meteorological Administration (CMA) and 16 definitions by combining two temperature indicators (daily minimum and mean temperature), two temperature thresholds (3rd and 5th percentile) and four durations of at least 2-5 days. Then, a random effect meta-analysis was applied to pool the effect estimates at national level. Furthermore, a stratified analysis was constructed to identify the vulnerable subpopulations to cold spells. Results: The definition, in which daily mean temperature falls below 5th percentile for at least two consecutive days, produced the optimum model fit performance. Generally, the mortality risk increased to the maximum after 3-6 days' exposure to cold spell and then leveled off in the next 3 weeks. The pooled relative risks (RR) of non-accidental mortality for cold spells were 1.03 (95% CI: 1.01-1.05), 1.27 (1.19-1.35) and 1.55 (1.40-1.70) at lag 0, lag 0-14 and lag 0-27 days, respectively. The greatest effect estimates of cold spells were found among total respiratory diseases and COPD, with RR of 1.88 (1.65-2.11) and 1.88 (1.58-2.19), respectively. The elderly, less-educated individuals and residents in southern China were more vulnerable to cold spells. Conclusion: There are remarkable mortality effects of cold spells, with effect estimates varying with the definition of cold spell and subpopulations. Using the official definition of cold spells may fail to capture the mortality risk associated with cold spells. These findings may facilitate the development of cold alert warning system and preventive actions to the vulnerable populations.
引用
收藏
页码:271 / 278
页数:8
相关论文
共 43 条
[1]   Statistics Notes - Interaction revisited: the difference between two estimates [J].
Altman, DG ;
Bland, JM .
BMJ-BRITISH MEDICAL JOURNAL, 2003, 326 (7382) :219-219
[2]   Weather-Related Mortality How Heat, Cold, and Heat Waves Affect Mortality in the United States [J].
Anderson, Brooke G. ;
Bell, Michelle L. .
EPIDEMIOLOGY, 2009, 20 (02) :205-213
[3]   Changes in population susceptibility to heat and cold over time: assessing adaptation to climate change [J].
Arbuthnott, Katherine ;
Hajat, Shakoor ;
Heaviside, Clare ;
Vardoulakis, Sotiris .
ENVIRONMENTAL HEALTH, 2016, 15
[4]   Models for the relationship between ambient temperature and daily mortality [J].
Armstrong, Ben .
EPIDEMIOLOGY, 2006, 17 (06) :624-631
[5]   Weather, climate, and public health [J].
Ballester, F ;
Michelozzi, P ;
Iñiguez, C .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2003, 57 (10) :759-760
[6]   A basic introduction to fixed-effect and random-effects models for meta-analysis [J].
Borenstein, Michael ;
Hedges, Larry V. ;
Higgins, Julian P. T. ;
Rothstein, Hannah R. .
RESEARCH SYNTHESIS METHODS, 2010, 1 (02) :97-111
[7]   Examining non-stationary effects of social determinants on cardiovascular mortality after cold surges in Taiwan [J].
Chen, Vivian Yi-Ju ;
Wu, Pei-Chih ;
Yang, Tse-Chuan ;
Su, Huey-Jen .
SCIENCE OF THE TOTAL ENVIRONMENT, 2010, 408 (09) :2042-2049
[8]   Ambient temperature and mortality: An international study in four capital cities of East Asia [J].
Chung, Joo-Youn ;
Honda, Yasushi ;
Hong, Yun-Chul ;
Pan, Xiao-Chuan ;
Guo, Yue-Leon ;
Kim, Ho .
SCIENCE OF THE TOTAL ENVIRONMENT, 2009, 408 (02) :390-396
[9]   Impacts of hot and cold spells differ for acute and chronic ischaemic heart diseases [J].
Davidkovova, Hana ;
Plavcova, Eva ;
Kyncl, Jan ;
Kysely, Jan .
BMC PUBLIC HEALTH, 2014, 14
[10]   The Impact of the February 2012 Cold Spell on Health in Italy Using Surveillance Data [J].
de'Donato, Francesca K. ;
Leone, Michela ;
Noce, Damia ;
Davoli, Marina ;
Michelozzi, Paola .
PLOS ONE, 2013, 8 (04)