Mortality burden attributable to temperature variability in China

被引:1
|
作者
Gong, Weiwei [1 ]
Li, Xing [2 ]
Zhou, Maigeng [3 ]
Zhou, Chunliang [4 ]
Xiao, Yize [5 ]
Huang, Biao [6 ]
Lin, Lifeng [7 ]
Hu, Jianxiong [2 ]
Xiao, Jianpeng [2 ]
Zeng, Weilin [2 ]
He, Guanhao [2 ]
Huang, Cunrui [8 ]
Liu, Tao [9 ,10 ]
Du, Qingfeng [11 ]
Ma, Wenjun [9 ,10 ]
机构
[1] Zhejiang Ctr Dis Control & Prevent, Hangzhou 310051, Zhejiang, Peoples R China
[2] Guangdong Prov Inst Publ Hlth, Guangdong Prov Ctr Dis Control & Prevent, Guangzhou 511430, Peoples R China
[3] Natl Ctr Chron & Noncommunicable Dis Control & Pr, Beijing 100050, Peoples R China
[4] Hunan Prov Ctr Dis Control & Prevent, Dept Environm & Hlth, Changsha 450001, Peoples R China
[5] Yunnan Ctr Dis Control & Prevent, Kunming 650022, Yunnan, Peoples R China
[6] Jilin Prov Ctr Dis Control & Prevent, Changchun 130062, Peoples R China
[7] Guangdong Prov Ctr Dis Control & Prevent, Guangzhou 511430, Peoples R China
[8] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou 510080, Peoples R China
[9] Jinan Univ, Sch Med, Dept Publ Hlth & Prevent Med, Guangzhou 510632, Peoples R China
[10] Jinan Univ, Dis Control & Prevent Inst, Guangzhou 510632, Peoples R China
[11] Southern Med Univ, Affiliated Hosp 7, Gen Practice Ctr, Foshan 528200, Peoples R China
基金
中国国家自然科学基金;
关键词
Distributed lag non-linear model; Temperature variability; Years of life lost; Multivariate meta-analysis; TIME-SERIES; IMPACT; VULNERABILITY; DISEASE; RANGE; RISK;
D O I
10.1038/s41370-022-00424-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Several studies have investigated the associations between temperature variability (TV) and death counts. However, evidence of TV-attributable years of life lost (YLL) is scarce. Objectives To investigate the associations between TV and YLL rates (/100,000 population), and quantify average life loss per death (LLD) caused by TV in China. Methods We calculated daily YLL rates (/100,000 population) of non-accidental causes and cardiorespiratory diseases by using death data from 364 counties of China during 2006-2017, and collected meteorological data during the same period. A distributed lag non-linear model (DLNM) and multivariate meta-analysis were used to estimate the effects of TV at national or regional levels. Then, we calculated the LLD to quantify the mortality burden of TV. Results U-shaped curves were observed in the associations of YLL rates with TV in China. The minimum YLL TV (MYTV) was 2.5 degrees C nationwide. An average of 0.89 LLD was attributable to TV in total, most of which was from high TV (0.86, 95% CI: 0.56, 1.16). However, TV caused more LLD in the young (<65 years old) (1.87, 95% CI: 1.03, 2.71) than 65-74 years old (0.85, 95% CI: 0.40-1.31) and >= 75 years old (0.40, 95% CI: 0.21-0.59), cerebrovascular disease (0.74, 95% CI: 0.36, 1.11) than respiratory disease (0.54, 95% CI: 0.21, 0.87), South (1.23, 95% CI: 0.77, 1.68) than North (0.41, 95% CI: -0.7, 1.52) and Central China (0.40, 95% CI: -0.02, 0.81). TV-attributed LLD was modified by annual mean temperature, annual mean relative humidity, altitude, latitude, longitude, and education attainment. Significance Our findings indicate that high and low TVs are both associated with increases in premature death, however the majority of LLD was attributable to high TV. TV-related LLD was modified by county level characteristics. TV should be considered in planning adaptation to climate change or variability. Impact We estimated the associations of TV with YLL rates, and quantified the life loss per death (LLD) caused by TV. An average of 0.89 years of LLD were attributable to TV, most of which were from high TVs. TV caused more LLD in the young, cerebrovascular disease, and southern China. The mortality burdens were modified by county level characteristics.
引用
收藏
页码:118 / 124
页数:7
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