TY - JOUR
T1 - Association between ambient cold exposure and mortality risk in Shandong Province, China
T2 - Modification effect of particulate matter size
AU - Zhao, Zhonghui
AU - Chu, Jie
AU - Xu, Xiaohui
AU - Cao, Yanwen
AU - Schikowski, Tamara
AU - Geng, Mengjie
AU - Chen, Gongbo
AU - Bai, Guannan
AU - Hu, Kejia
AU - Xia, Jingjing
AU - Ma, Wei
AU - Liu, Qiyong
AU - Lu, Zilong
AU - Guo, Xiaolei
AU - Zhao, Qi
N1 - Funding Information:
This study was supported by the Natural Science Foundation of Shandong Province in China (ZR2021QH318) and the Shandong Excellent Young Scientists Fund Program (Overseas) (2022HWYQ-055).
Publisher Copyright:
Copyright © 2023 Zhao, Chu, Xu, Cao, Schikowski, Geng, Chen, Bai, Hu, Xia, Ma, Liu, Lu, Guo and Zhao.
PY - 2023/1/5
Y1 - 2023/1/5
N2 - Introduction: Numerous studies have reported the modification of particulate matters (PMs) on the association between cold temperature and health. However, it remains uncertain whether the modification effect may vary by size of PMs, especially in Shandong Province, China where the disease burdens associated with cold temperature and PMs are both substantial. This study aimed to examine various interactive effects of cold exposure and ambient PMs with diameters ≤1/2.5 μm (PM1 and PM2.5) on premature deaths in Shandong Province, China. Methods: In the 2013-2018 cold seasons, data on daily mortality, PM1 and PM2.5, and weather conditions were collected from the 1822 sub-districts of Shandong Province. A time-stratified case-crossover study design was performed to quantify the cumulative association between ambient cold and mortality over lag 0-12 days, with a linear interactive term between temperature and PM1 and PM2.5 additionally added into the model. Results: The mortality risk increased with temperature decline, with the cumulative OR of extreme cold (−16.9°C, the 1st percentile of temperature range) being 1.83 (95% CI: 1.66, 2.02), compared with the minimum mortality temperature. The cold-related mortality risk was 2.20 (95%CI: 1.83, 2.64) and 2.24 (95%CI: 1.78, 2.81) on high PM1 and PM2.5 days, which dropped to 1.60 (95%CI: 1.39, 1.84) and 1.60 (95%CI: 1.37, 1.88) on low PM1 and PM2.5 days. PM1 showed greater modification effect for per unit concentration increase than PM2.5. For example, for each 10?g/m3 increase in PM1 and PM2.5, the mortality risk associated with extreme cold temperature increased by 7.6% (95% CI: 1.3%, 14.2%) and 2.6% (95% CI: −0.7%, 5.9%), respectively. Discussion: The increment of smaller PMs' modification effect varied by population subgroups, which was particularly strong in the elderly aged over 75 years and individuals with middle school education and below. Specific health promotion strategies should be developed towards the greater modification effect of smaller PMs on cold effect.
AB - Introduction: Numerous studies have reported the modification of particulate matters (PMs) on the association between cold temperature and health. However, it remains uncertain whether the modification effect may vary by size of PMs, especially in Shandong Province, China where the disease burdens associated with cold temperature and PMs are both substantial. This study aimed to examine various interactive effects of cold exposure and ambient PMs with diameters ≤1/2.5 μm (PM1 and PM2.5) on premature deaths in Shandong Province, China. Methods: In the 2013-2018 cold seasons, data on daily mortality, PM1 and PM2.5, and weather conditions were collected from the 1822 sub-districts of Shandong Province. A time-stratified case-crossover study design was performed to quantify the cumulative association between ambient cold and mortality over lag 0-12 days, with a linear interactive term between temperature and PM1 and PM2.5 additionally added into the model. Results: The mortality risk increased with temperature decline, with the cumulative OR of extreme cold (−16.9°C, the 1st percentile of temperature range) being 1.83 (95% CI: 1.66, 2.02), compared with the minimum mortality temperature. The cold-related mortality risk was 2.20 (95%CI: 1.83, 2.64) and 2.24 (95%CI: 1.78, 2.81) on high PM1 and PM2.5 days, which dropped to 1.60 (95%CI: 1.39, 1.84) and 1.60 (95%CI: 1.37, 1.88) on low PM1 and PM2.5 days. PM1 showed greater modification effect for per unit concentration increase than PM2.5. For example, for each 10?g/m3 increase in PM1 and PM2.5, the mortality risk associated with extreme cold temperature increased by 7.6% (95% CI: 1.3%, 14.2%) and 2.6% (95% CI: −0.7%, 5.9%), respectively. Discussion: The increment of smaller PMs' modification effect varied by population subgroups, which was particularly strong in the elderly aged over 75 years and individuals with middle school education and below. Specific health promotion strategies should be developed towards the greater modification effect of smaller PMs on cold effect.
KW - air pollution
KW - ambient cold
KW - modification effect
KW - mortality
KW - particulate matter
UR - https://www.scopus.com/pages/publications/85146518723
U2 - 10.3389/fpubh.2022.1093588
DO - 10.3389/fpubh.2022.1093588
M3 - Article
C2 - 36684922
AN - SCOPUS:85146518723
SN - 2296-2565
VL - 10
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1093588
ER -