4.8 Article

Associations of long-term exposure to ambient PM2.5 with mortality in Chinese adults: A pooled analysis of cohorts in the China-PAR project

Journal

ENVIRONMENT INTERNATIONAL
Volume 138, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2020.105589

Keywords

Satellite-based PM2.5; Long-term exposure; Cohort study; Mortality; Concentration-response relationship

Funding

  1. National Key Research and Development Program of China [2017YFC0211703, 2016YFC0206503, 2018YFE0115300]
  2. Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences [2017-I2M-1-004]
  3. MAIA science team at the JPL, California Institute of Technology [1588347]

Ask authors/readers for more resources

Background: The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially at high levels of PM2.5 concentrations. Objective: We aimed to evaluate chronic effects of ambient PM2.5 exposure on deaths among Chinese adults in high-exposure settings. Methods: Participants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged >= 18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM2.5 concentrations during 2000-2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM2.5 exposure with mortality after multivariate adjustment. Results: A total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM2.5 concentration was 64.9 mu g/m(3) ranging from 31.2 mu g/m(3) to 97.0 mu g/m(3). For each 10 mu g/m(3) increment in PM2.5, the HR was 1.11 (95% CI: 1.08-1.14) for non-accidental mortality and 1.22 (95% CI: 1.16-1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM2.5 was observed among Chinese adults. Conclusions: Our study provided important evidence of the long-term effects of PM2.5 exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM2.5 exposure in rapidly industrializing countries such as China.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Rheumatology

Association of Diabetes Mellitus Status and Hyperglycemia With Symptomatic Knee Osteoarthritis

Jiazhen Zheng, Xihao Huang, Jinghan Huang, Bingyao Meng, Furong Li, Huamin Liu, Liren Chen, Rui Zhou, Mengchen Zou, Xianbo Wu

Summary: This study evaluated the association between glycemic control and the risk of symptomatic knee osteoarthritis in a community-based cohort of older adults. The findings suggest that diabetes, poor glycemic management, and long-term diabetes are potential risk factors for knee osteoarthritis. The study also highlights the importance of targeting blood glucose in addition to bodyweight as a preventive measure for knee osteoarthritis.

ARTHRITIS CARE & RESEARCH (2023)

Article Economics

The effect of CSR on acquirer returns of cross-border M&As in an emerging market - a bane or a boom?

Jingjing Li, Xianming Wu

Summary: Enterprises in emerging markets increasingly prioritize social responsibility alongside economic development. However, existing literature lacks research on the relationship between corporate social responsibility (CSR) and acquirer returns in cross-border mergers and acquisitions (M&As). This study examines 214 cross-border M&As in China from 2010 to 2019 and categorizes CSR into four components. The findings indicate that supplier and consumer responsibility, as well as the social contribution of enterprises, significantly promote acquirer returns in cross-border M&As, while shareholder responsibility and environmental responsibility have negative effects. This conclusion may be specific to the Chinese context of cross-border M&As.

APPLIED ECONOMICS LETTERS (2023)

Article Chemistry, Multidisciplinary

Hybrid Block Copolymer/Perovskite Heterointerfaces for Efficient Solar Cells

Jianguo Sun, Bin Li, Long Hu, Junjun Guo, Xufeng Ling, Xuliang Zhang, Chi Zhang, Xianxin Wu, Hehe Huang, Chenxu Han, Xinfeng Liu, Youyong Li, Shujuan Huang, Tom Wu, Jianyu Yuan, Wanli Ma

Summary: Solution processable semiconductors like organics and emerging lead halide perovskites (LHPs) are ideal candidates for photovoltaics. This study investigates a novel device architecture involving block copolymer/perovskite hybrid bulk heterointerfaces, which enhances light absorption, energy level cascade, and provides a thin hydrophobic layer to improve carrier generation and prevent moisture invasion. The resulting hybrid solar cell exhibits high efficiency and stability, and the approach can be extended to other LHPs.

ADVANCED MATERIALS (2023)

Article Computer Science, Artificial Intelligence

Enhanced safety prediction of vault settlement in urban tunnels using the pair-copula and Bayesian network

Xianguo Wu, Zongbao Feng, Yang Liu, Yawei Qin, Tingyou Yang, Junchao Duan

Summary: A risk assessment method for vault deformation in small clear distance tunnels is proposed using a pair-copula Bayesian network (PCBN) model. An index system for risk assessment is established based on factors affecting vault settlement. The PCBN model effectively addresses the complexity and correlation within the risk system. The model is applied to analyze the risk status of dome settlement in the Donghu Tuanshan tunnel, and it is determined to be safe. The method provides real-time and effective safety risk assessment and decision support for shield construction.

APPLIED SOFT COMPUTING (2023)

Article Computer Science, Artificial Intelligence

Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach

Kunyu Wang, Xianguo Wu, Limao Zhang, Xieqing Song

Summary: A robust multi-step TBM attitude prediction approach named convolutional gated-recurrent-unit neural network (C-GRU) is proposed in this research and the random balance design Fourier amplitude sensitivity test method is used for sensitivity analysis to reveal the interaction between input and output of the C-GRU model. A tunnel construction project in Singapore is taken as an example to prove the robustness and effectiveness of the proposed approach. Results indicate that the length of the output sequence of the model can maintain high robustness and accuracy within 21 steps.

ADVANCED ENGINEERING INFORMATICS (2023)

Article Chemistry, Multidisciplinary

Zwitterions Narrow Distribution of Perovskite Quantum Wells for Blue Light-Emitting Diodes with Efficiency Exceeding 15%

Shaocheng Liu, Zhenyu Guo, Xianxin Wu, Xinfeng Liu, Zijian Huang, Liang Li, Jinwen Zhang, Huanping Zhou, Ling-Dong Sun, Chun-Hua Yan

Summary: By investigating the influence of bifunctional zwitterions on the crystallization kinetics of quasi-2D perovskites, this study provides useful directions for tuning the crystallization kinetics, leading to high-performance perovskite LEDs. The zwitterions act as co-spacer organic species and inhibit the aggregation of colloidal precursors, resulting in a more concentrated n distribution and improved energy transfer efficiency. The achieved high-efficiency blue LEDs have a recorded external quantum efficiency of 15.6% at 490 nm and prolonged operation stability of 55.3 min.

ADVANCED MATERIALS (2023)

Article Cell Biology

The role of Nod-like receptor protein 3 inflammasome activated by ion channels in multiple diseases

Xiaolin Xu, Xianli Wu, Gengyu Yue, Qimin An, Jun Lou, Xiaoxu Yang, Zhe Jin, Jianhong Ding, Yanxia Hu, Qian Du, Jingyu Xu, Rui Xie

Summary: This article summarizes the activation mechanisms of inflammasomes and their relationship with diseases, and provides an overview of the effects of intracellular and extracellular ion activities and ion channels on inflammasome activation.

MOLECULAR AND CELLULAR BIOCHEMISTRY (2023)

Article Engineering, Marine

The Construction and Application of Dual-Objective Optimal Speed Model of Liners in a Changing Climate: Taking Yang Ming Route as an Example

Jinxing Lu, Xianhua Wu, You Wu

Summary: In a changing climate, ship speed optimization is crucial for energy conservation and emission reduction. To establish a dual-objective optimization model, the study considers fuel costs, berthing costs, emission costs, and fixed costs during sailing cycles, and takes into account emission reduction strategies using MGO fuel in emission control areas and AMP devices in ports. The PSO algorithm is used to find the Pareto solution set, and the TOPSIS algorithm is applied to screen the optimal compromise solution. The model is validated using the trans-Pacific route of Yang Ming, and the results demonstrate its effectiveness in reducing operating costs and controlling carbon emissions.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2023)

Article Biotechnology & Applied Microbiology

Spinal cord tissue engineering using human primary neural progenitor cells and astrocytes

Chen Jin, Yayu Wu, Haipeng Zhang, Bai Xu, Wenbin Liu, Chunnan Ji, Panpan Li, Zhenni Chen, Bing Chen, Jiayin Li, Xianming Wu, Peipei Jiang, Yali Hu, Zhifeng Xiao, Yannan Zhao, Jianwu Dai

Summary: This study created a linearly ordered spinal cord-like structure by placing human spinal cord neural progenitor cells and spinal cord astrocytes on a linearly ordered collagen scaffold. The structure promoted neural and vascular regeneration, inhibited inflammation and glial scar formation, and facilitated neural circuit reconstruction and motor functional recovery. Therefore, this research is of great importance in the treatment of spinal cord injury.

BIOENGINEERING & TRANSLATIONAL MEDICINE (2023)

Article Mathematics, Interdisciplinary Applications

Penalized M-Estimation Based on Standard Error Adjusted Adaptive Elastic-Net

Xianjun Wu, Mingqiu Wang, Wenting Hu, Guo-Liang Tian, Tao Li

Summary: When dealing with data containing outliers or heavy-tailed distributions, traditional least squares with penalty function is not suitable. With the development of science and technology, high-dimensional data with strong correlation and redundancy has been generated. Therefore, it is necessary to find an effective variable selection method based on robust techniques to handle collinearity. This paper proposes a penalized M-estimation method based on standard error adjusted adaptive elastic-net, which utilizes M-estimators and their standard errors as weights. The theoretical proof demonstrates the consistency and asymptotic normality of this method. The proposed method reduces dimensionality using multi-step adaptive elastic-net in high-dimensional space and selects variables and estimates parameters using the proposed method. Simulation studies and real data analysis confirm the finite sample performance advantages of the proposed method compared to other commonly used methods.

JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY (2023)

Article Chemistry, Multidisciplinary

A Particle-Bonded Catalyst-Modified Electrode for Flow Batteries: Extending a Two-Phase Interface toward Stable Mass Transport and Efficient Redox Reaction

Rui Wang, Chao He, Mingsheng Hao, Fazheng Chong, Zhilong Zhao, Xianhua Wu, Zhengjun Tu, Tao Fan, Yinshi Li

Summary: One of the goals in developing high-performance flow batteries is to improve the activity and durability of electrodes. In this study, a particle-bonded catalyst-modified electrode was developed based on an understanding of the interface behaviors in flow batteries. This electrode effectively combines the catalyst and electrode base using a particle-form binder, resulting in enhanced reaction kinetics and reduced mass transport resistance.

ACS SUSTAINABLE CHEMISTRY & ENGINEERING (2023)

Article Materials Science, Multidisciplinary

Nanopore/Nanosphere-Induced Optical Enhancement of Monolayer MoS2

Yueqi Li, Zhexue Chen, Xuanping Zhou, Xianxin Wu, Zhican Zhou, Zhangqiang Li, Liuyang Xiao, Qian Liu, Xinfeng Liu, Yong Zhang

Summary: This paper describes a method for the facile fabrication of monolayer molybdenum disulfide (MoS2) supported by porous anodic alumina (PAA) membranes. The PAA-MoS2 and PAA-Au-MoS2 structures, with nanopore/nanosphere supports, exhibit significantly enhanced optical performances compared to silicon wafer-supported MoS2.

ADVANCED OPTICAL MATERIALS (2023)

Article Plant Sciences

Identification of wheat stem rust resistance genes in wheat cultivars from Hebei province, China

Huiyan Sun, Ziye Wang, Rui Wang, Si Chen, Xinyu Ni, Fu Gao, Yazhao Zhang, Yiwei Xu, Xianxin Wu, Tianya Li

Summary: In this study, the presence of stem rust resistance genes in 65 commercial wheat cultivars from Hebei Province was determined using gene postulation, pedigree analysis, and molecular detection. The results revealed the presence of 6 Sr genes (Sr5, Sr17, Sr24, Sr31, Sr32, Sr38, and SrTmp) in 46 wheat cultivars, with Sr31 being the most common. This study is important for breeding wheat cultivars resistant to stem rust.

FRONTIERS IN PLANT SCIENCE (2023)

Article Environmental Sciences

The impact of Japanese nuclear wastewater discharge into the sea on the global economy: Input-output model approach

Xianhua Wu, Yi Zhang, Xuehao Feng

Summary: As the division of work within the world economic system becomes increasingly complex, the impact of disturbing events on the economic system is expanding. Japan's proposal to discharge nuclear wastewater into the Pacific Ocean will cause damage to marine fisheries, thereby seriously affecting fisheries and other industries in Japan and other countries and regions around the world. This paper uses the Inoperability Input-Output Model (IIM) and MultiRegion Input-Output Model (MRIO) to simulate the economic consequences of nuclear wastewater discharge in Japan and calculate the economic changes of each industry and country (region).

MARINE POLLUTION BULLETIN (2023)

Article Business, Finance

Influence of international trade disputes on the world industrial economic system based on inoperability input-output model

Xianhua Wu, Ji Guo, Shunfeng Song

Summary: Since January 2018, the U.S. and China have been engaged in trade disputes with steep tariffs imposed on imports. This paper provides empirical research on the economic losses resulting from these disputes, using input-output models and assumptions. The study reveals that the trade disputes have significantly affected global trading and caused substantial economic losses. It also identifies the countries and industries highly sensitive to the disputes, serving as a reference for assessing losses in similar events.

INTERNATIONAL REVIEW OF ECONOMICS & FINANCE (2023)

No Data Available