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2022 Vol. 4, No. 26

Preplanned Studies
Long-Term Temperature Variability and Risk of Dyslipidemia Among Middle-Aged and Elderly Adults: A Prospective Cohort Study — China, 2011–2018
Jianbo Jin, Yuxin Wang, Zhihu Xu, Ru Cao, Hanbin Zhang, Qiang Zeng, Xiaochuan Pan, Jing Huang, Guoxing Li
2022, 4(26): 561-564. doi: 10.46234/ccdcw2022.122
Abstract(4235) HTML (213) PDF 612KB(38)
Abstract:
What is already known about this topic?

Long-term temperature variability (TV) has been examined to be associated with cardiovascular disease (CVD). TV-related dyslipidemia helps us understand the mechanism of how climate change affects CVD.

What is added by this report?

Based on the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, this study estimated the long-term effect of TV on dyslipidemia in middle-aged and elderly adults.

What are the implications for public health practice?

This study suggested that long-term TV may increase the risk of dyslipidemia. With the threat of climate change, these findings have great significance for making policies and adaptive strategies to reduce relevant risk of CVD.

Independent and Interactive Effects of Environmental Conditions on Aerosolized Surrogate SARS-CoV-2 — Beijing, China, June to September 2020
Yixin Mao, Yueyun Luo, Wenda Zhang, Pei Ding, Xia Li, Fuchang Deng, Kaiqiang Xu, Min Hou, Cheng Ding, Youbin Wang, Zhaomin Dong, Raina MacIntyre, Xiaoyuan Yao, Song Tang, Dongqun Xu
2022, 4(26): 565-569. doi: 10.46234/ccdcw2022.123
Abstract(4934) HTML (203) PDF 505KB(29)
Abstract:
What is already known about this topic?

Environmental factors such as temperature and humidity play important roles in the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) via droplets/aerosols.

What is added by this report?

Higher relative humidity (61%–80%), longer spreading time (120 min), and greater dispersal distance (1 m) significantly reduced SARS-CoV-2 pseudovirus loads. There was an interaction effect between relative humidity and spreading time.

What are the implications for public health practice?

The findings contribute to our understanding of the impact of environmental factors on the transmission of SARS-CoV-2 via airborne droplets/aerosols.

Vital Surveillances
Interactive Effects Between Temperature and PM2.5 on Mortality: A Study of Varying Coefficient Distributed Lag Model — Guangzhou, Guangdong Province, China, 2013–2020
Sujuan Chen, Hang Dong, Mengmeng Li, Lin Huang, Guozhen Lin, Qiyong Liu, Boguang Wang, Jun Yang
2022, 4(26): 570-576. doi: 10.46234/ccdcw2022.124
Abstract(10336) HTML (192) PDF 836KB(29)
Abstract:
Introduction

There is a large body of epidemiological evidence showing significantly increased mortality risks from air pollution and temperature. However, findings on the modification of the association between air pollution and mortality by temperature are mixed.

Methods

We used a varying coefficient distributed lag model to assess the complex interplay between air temperature and PM2.5 on daily mortality in Guangzhou City from 2013 to 2020, with the aim of establishing the PM2.5-mortality association at different temperatures and exploring synergetic mortality risks from PM2.5 and temperature on vulnerable populations.

Results

We observed near-linear concentration-response associations between PM2.5 and mortality across different temperature levels. Each 10 μg/m³ increase of PM2.5 in low, medium, and high temperature strata was associated with increments of 0.73% [95% confidence interval (CI): 0.38%, 1.09%], 0.12% (95% CI: −0.27%, 0.52%), and 0.46% (95% CI: 0.11%, 0.81%) in non-accidental mortality, with a statistically significant difference between low and medium temperatures (P=0.02). There were significant modification effects of PM2.5 by low temperature for cardiovascular mortality and among individuals 75 years or older.

Conclusions

Low temperatures may exacerbate physiological responses to short-term PM2.5 exposure in Guangzhou, China.

Review
Air Pollution Health Impact Monitoring and Health Risk Assessment Technology and Its Application — China, 2006–2019
Jingxiu Han, Dongqun Xu, Donggang Xu, Xu Yang, Qin Wang, Mingqing Chen, Wenrong Xia, Weiwei Xing, Chunyu Xu, Yue Liu, Junrui Chang, Wenliang Fu, Shuxin Hao, Na Li, Xiaoyan Dong, Yunpu Li, Congshen Meng, Jingyi Liu
2022, 4(26): 577-581. doi: 10.46234/ccdcw2022.125
Abstract(4249) HTML (392) PDF 361KB(31)
Abstract:

Air pollution is a significant risk factor contributing to the burden of disease in China. Health risk assessment and management are important to reduce the impact of air pollution on public health. To help formulate standardized health risk assessment techniques, a series of studies were conducted from 2006 to 2019. Through systematic review, study of molecular mechanisms, epidemiological investigation, and health effect monitoring, the overall project established a monitoring and evaluation indicator system, a comprehensive information platform, software for automatic data cleaning, and standardized health risk assessment techniques. Technical specifications have been issued by the National Health Commission for promoting health risk assessments across China. This paper introduces the project, the research approach, its main research accomplishments, innovations, and public health significance, and describes directions for further research.