Jul 2026· Journal of Hazardous Materials· Vol 514, pp.
142906
· 0 citations· 57 references
Medicine
TL;DR
These findings underscore the potential contribution of individual PM2.5 constituents and their mixtures in COPD mortality, while suggesting actionable source-control priorities and coordinated precursor-reduction strategies, as well as population-specific prevention approaches.
Abstract
Chronic obstructive pulmonary disease (COPD) imposes a major burden on global health, yet evidence on the prolonged health effects of individual PM2.5 constituents remains limited. Previous research has primarily employed traditional models, which may struggle to capture the complex correlations among the PM2.5 components and be less effective in confounding adjustment. We conducted a prospective cohort study involving 182,009 participants from the Pearl River Cohort (2013-2015) followed through 2020, applying inverse probability-weighted marginal structural Cox models and quantile g-computation (QGC) to assess the associations of individual PM2.5 components and their mixtures with COPD mortality, followed by stratified analyses for effect modification. Over 1.18 million person-years of follow-up, 422 COPD deaths were documented. Long-term exposure to ammonium (NH4+), black carbon (BC), nitrate (NO3-), organic matter (OM) and chloride (Cl-) was associated with higher COPD mortality, with HRs (95% CI) of 2.75 (1.86-4.05), 2.41 (1.64-3.55), 1.86 (1.45-2.39), 1.85 (1.33-2.57) and 1.45 (1.15-1.82), respectively. Mixture analysis showed that each one-quartile increase in the PM2.5 component mixture was associated with a 39% (29%-50%) higher risk of COPD mortality, primarily driven by OM, Cl-, and NO3- (weights = 0.34, 0.34, 0.32). Stratified analyses indicated greater associations among older adults, suggesting increased susceptibility in this group. Our findings underscore the potential contribution of individual PM2.5 constituents and their mixtures in COPD mortality, while suggesting actionable source-control priorities and coordinated precursor-reduction strategies, as well as population-specific prevention approaches.
Findings highlight black carbon and sulfate as primary drivers of PM2.5-related lung function impairment in COPD patients, likely acting through systemic metabolic perturbations and suggests metabolic profiling as a potential approach for targeted prevention in vulnerable populations.
Jia-Chen Li, Li-Rong Liang, Y. Cai et al.· Respiratory Research· 0 citations
Positive associations between long-term exposure to NO2 and CKD incidence were greater in never smokers than in ever-smokers, and stronger associations among never-smokers suggest that environmental exposures may independently influence kidney health.
Gonzalo Hevia-Ramos, Jiawei Zhang, Stephane Tuffier et al.· Journal of Exposure Science...· 0 citations
Ambient fine particulate matter (PM2.5) is a proven human lung carcinogen associated with lung cancer incidence. However, the relative toxicity of the various chemical components of PM2.5 and their joint association with all-cause mortality following lung cancer diagnosis remain unclear. We conducted a cohort study of...
Ya-Guang Wei, Jiaowei Gong, Edgar Castro et al.· Environmental Research· 0 citations
In this rural Ghanaian population, long-term PM2.5 exposure was associated with hypertension but not with metabolic syndrome or its other components, which support the integration of air quality management into cardiovascular disease prevention strategies.
Ali Moro, E. Nonterah, Godfred Agongo et al.· Environmental Research· 0 citations
Long-term exposure to ambient air pollution, particularly particulate matter, is associated with an increased risk of CVD and cardiometabolic disorders in middle-aged and older Chinese adults.
Xue-Hua Wang, Zhao-Hui Wang, Yan Wang· Bioengineering· 0 citations
Findings reveal that for each 10 µg/m3 increase in PM2.5, YLL rose by 1.69 years for IHD and 1.34 years for stroke, with the most significant effects observed on the day of exposure for IHD and three days post-exposure for stroke.
An-Qi You, Weiyao Cai, Yuanhong Zeng et al.· International journal of bio...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.