Background: Differences in traffic-related air pollution (TRAP) composition may cause heterogeneity in associations between air pollution exposure and cardiovascular health outcomes. Clustering multi-pollutant measurements allows investigation of effect modification by TRAP profiles.
Methods: We measured TRAP components with fixed-site and on-road instruments for two two-week periods in Baltimore, Maryland. We created representative TRAP profiles for cold and warm seasons using predictive -means clustering. We predicted cluster membership for 1005 participants in the Multi-Ethnic Study of Atherosclerosis and Air Pollution with follow-up between 2000 and 2012. We estimated cluster-specific relationships between coronary artery calcification (CAC) progression and long-term exposure to fine particulate matter (PM) and oxides of nitrogen (NO).
Results: We identified two clusters in the cold season, notable for higher ratios of gases and ultrafine particles, respectively. A 5 μg/m difference in PM was associated with 17.0 (95% Confidence Interval [CI]: 7.2, 26.7) and 42.6 (95% CI: 25.7, 59.4) Agatston units/year CAC progression among participants in clusters 1 and 2, respectively (effect modification =0.006). A 40ppb difference in NO was associated with 22.2 (95% CI: 7.7, 36.7) and 41.9 (95% CI: 23.7, 60.2) Agatston units/year CAC progression in clusters 1 and 2, respectively (=0.08). Similar trends occurred using clusters identified from warm season measurements. Clusters correlated highly with baseline pollution level.
Conclusions: Clustering TRAP measurements identified spatial differences in composition. We found evidence of greater CAC progression rates per unit PM exposures among people living in areas characterized by high ratios of ultrafine particle counts relative to NO concentrations.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402342 | PMC |
http://dx.doi.org/10.1097/EE9.0000000000000024 | DOI Listing |
Front Public Health
January 2025
School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China.
Background: Exploring the coordinated relationship between urban-rural integration and air quality has significant implications for promoting urban-rural development, preventing air pollution and ensuring residents' health. This study takes Yangtze River middle reaches city cluster as a case study, calculates the levels of urban-rural integration and air quality development, analyzes their coupled coordination relationship and driving factors, and explores the path of coordinated development.
Methods: This study constructs a coupling coordination degree model to analyze the relationship between the urban-rural integration development level and air quality development level.
Front Public Health
January 2025
Graduate School of the First Clinical Medical College, Beijing University of Chinese Medicine, Beijing, China.
Background And Aims: Evidence from extensive cohort studies about the individual and combined associations of air pollution and air temperature with cardiovascular disease (CVD) morbidity is limited. This study aimed to examine the long-term effects of PM exposure and air temperature on CVD based on a cohort study of middle-aged and older populations in China.
Methods: A total of 9,316 non-CVD adults (≥40 years old) who joined the China Health and Retirement Longitudinal Study between 2011 and 2018 were included in our analysis.
Front Public Health
January 2025
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Introduction: Facing Mount Tai in the south and the Yellow River in the north, Zibo District is an important petrochemical base in China. The effect of air pollution on cardiovascular diseases (CVDs) in Zibo was unclear.
Methods: Daily outpatient visits of common CVDs including coronary heart disease (CHD), stroke, and arrhythmia were obtained from 2019 to 2022 in Zibo.
Se Pu
February 2025
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100214, China.
A comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-TOF-MS) method was developed to analyze 25 traditional phthalate esters (PAEs) and 19 novel alternatives in indoor dust samples. PAEs are ubiquitous in indoor environments because they are widely used as plasticizers in a variety of consumer products, and potential health concerns have prompted the need for effective monitoring methods. In this study, dust samples were collected from various indoor settings in a university campus, including classrooms, cafeterias, laboratories, and dormitories, and were subsequently ultrasonically extracted with hexane-dichloromethane (1∶1, v/v) solution for 30 min.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!