The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study DOI Creative Commons

Wanying Su,

Heping Liu,

Tiantian Han

и другие.

BMC Public Health, Год журнала: 2024, Номер 24(1)

Опубликована: Дек. 31, 2024

The burden of cardiovascular disease (CVD) is severe worldwide. Although many studies have investigated the association particulate pollution with CVD, effect finer components on CVD remains unclear. This study aimed to explore five PM2.5 ( $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ , sulfate; $$\:{\text{NO}}_{\text{3}}^{\text{-}}$$ nitrate; $$\:{\text{NH}}_{\text{4}}^{\text{+}}$$ ammonium; OM, organic matter; BC, carbon black) admission in Shanghai City, identify susceptible population, and provide clues for prevention control pollution. Daily data during 2013–2019 three districts were obtained from Tracking Air Pollution China. We daily admissions relevant departments Tongji Hospital, including basic information (sex, age, time admissions, ICD code root cause etc.). First, generalized additive model (GAM) distributed lag non-linear (DLNM) used evaluate individual effects Shanghai. Then, regions pooled analysis using either a random-effects or fixed-effects model. Overall, all had significant risk. BC OM strongly associated increasing interquartile range concentrations, maximum values cumulative RR (95% CI) 1.318 (95%CI: 1.222–1.415) 1.243 1.164–1.322), respectively. elderly (≥ 65 years old) was more sensitive four than young population. strongest younger people, 1.567 CI: 1.116–2.019) 1.534 1.104–1.963), found that risk factors specific diseases City. $$\:{\text{\:NH}}_{\text{4}}^{\text{+}}$$ BC.

Язык: Английский

Environmental Pollutants as Emerging Concerns for Cardiac Diseases: A Review on Their Impacts on Cardiac Health DOI Creative Commons
Vinay Kumar,

S Hemavathy,

Lohith Kumar Dasarahally Huligowda

и другие.

Biomedicines, Год журнала: 2025, Номер 13(1), С. 241 - 241

Опубликована: Янв. 20, 2025

Comorbidities related to cardiovascular disease (CVD) and environmental pollution have emerged as serious concerns. The exposome concept underscores the cumulative impact of factors, including climate change, air pollution, chemicals like PFAS, heavy metals, on health. Chronic exposure these pollutants contributes inflammation, oxidative stress, endothelial dysfunction, further exacerbating global burden CVDs. Specifically, carbon monoxide (CO), ozone, particulate matter (PM2.5), nitrogen dioxide (NO2), sulfur (SO2), pesticides, micro- nanoplastics been implicated in morbidity mortality through various mechanisms. PM2.5 leads inflammation metabolic disruptions. Ozone CO induce stress vascular dysfunction. NO2 cardiac remodeling acute events, metals exacerbate cellular damage. Pesticides microplastics pose emerging risks linked tissue Monitoring risk assessment play a crucial role identifying vulnerable populations assessing pollutant impacts, considering factors age, gender, socioeconomic status, lifestyle disorders. This review explores disease, discussing risk-assessment methods, intervention strategies, challenges clinicians face addressing pollutant-induced diseases. It calls for stronger regulatory policies, public health interventions, green urban planning.

Язык: Английский

Процитировано

3
Cardiovascular Emergency Hospitalization Risks of PM2.5 Transition Metals: A Time-Stratified Case-Crossover Study DOI Creative Commons
Lin Wang, Bin Wang, Jiawen Liao

и другие.

Environment & Health, Год журнала: 2025, Номер 3(4), С. 402 - 413

Опубликована: Янв. 7, 2025

PM2.5 pollution poses significant health risks in urban areas, yet the specific cardiovascular impacts of its hazardous components, especially transition metals, remain insufficiently understood. This study evaluated associations components on acute myocardial infarction (AMI) and aortic dissections (AAD) emergency hospitalizations (n = 9985) using a time-stratified case-crossover between 2017 2023 Xiamen, China. We collected comprehensive data daily air pollutants, (water-soluble ions, carbon other elements), meteorological variables. Conditional logistic regressions were used to estimate odds ratios (OR) per interquartile range (IQR) exposures. Our finding reveals short-term exposures pollutants with increased hospitalizations. The strongest observed cumulative 3-day lagged (lag 0–3) metals including Mn [odds ratio, OR 1.106 (95% CI: 1.032–1.186)], Fe [OR 1.078, 1.015–1.145)], V 1.117 1.024–1.219)], Zn 1.08, 1.005–1.161)] exposure AMI. These stronger among older (age >65 years), male patients, during colder seasons. highlights underexplored subacute underscoring need integrate them into quality management promote environmental sustainability.

Язык: Английский

Процитировано

0
Deep transfer learning for spatiotemporal mapping of PM2.5 nitrate across China: Addressing small data challenges in environmental machine learning DOI
Xi Zheng,

Hai-Yan Meng,

Zixiang Zhao

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 138206 - 138206

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
The association between long-term exposure to PM2.5 constituents and ischemic stroke in the New York City metropolitan area DOI Creative Commons
Helena Krasnov,

Kshitij Sachdev,

Pablo Knobel

и другие.

Chemosphere, Год журнала: 2025, Номер 378, С. 144390 - 144390

Опубликована: Апрель 8, 2025

Numerous studies linked fine particulate matter (PM2.5) to ischemic stroke. However, only a few investigated the differential associations with specific PM2.5 components and sources. We utilized electronic health records (EHR) from Mount Sinai Health System in New York City metropolitan area during 2011-2019 assessed of sources used mixed-effect Poisson survival regressions assess single-exposure chemical components. multivariable regression simultaneous source-apportioned exposures estimated using non-negative matrix factorization. Then, we sensitivity our results different specifications EHR data continuity: (1) less strict definition censorship year, (2) adjusting model for continuity index, validated algorithm measuring EHR-data based on indicators primary care service utilization. observed higher risks stroke (Risk ratio [95 % confidence intervals] per interquartile range increase) associated exposure nickel (1.080 [1.045; 1.116]), vanadium (1.070 [1.033; 1.109]), zinc (1.076 [1.031; 1.122]), nitrate (1.084 [1.039; 1.132]). In multivariate models found risk oil combustion sourced (1.061 [1.012; 1.113]). The remained consistent under accounting continuity. conclusion, an increased These findings were robust Our can inform policy interventions aimed at reducing cardiovascular disease burden.

Язык: Английский

Процитировано

0
Ambient PM2.5 Exposure, Physical Activity, and Cardiovascular Dysfunction: Analysis of CHARLS Data and Experimental Study in Mice DOI
Hao Chang,

Kun Pan,

Xi Zhang

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 138377 - 138377

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach DOI

Naihua Chen,

Jianyong You,

Lin Qing

и другие.

Environmental Pollution, Год журнала: 2025, Номер 377, С. 126448 - 126448

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0
High-Resolution Mapping of NO2 Population Exposure in China from Satellite Observations DOI

Jianbin Gu,

Jinhua Tao,

Liangfu Chen

и другие.

Environmental Development, Год журнала: 2025, Номер unknown, С. 101238 - 101238

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Environmental health: a critical review of the impact of climate change, COVID-19, and other emerging threats DOI Creative Commons

Linda Qiu,

Lu Liu, M. Santosh

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Май 22, 2025

Язык: Английский

Процитировано

0
Absence of a Causal Link between Elemental Carbon Exposure and Short-Term Respiratory Toxicity in Human-Derived Organoids and Cellular Models DOI
Chen Xiu, Di Wu, Yifei Tan

и другие.

Environmental Science & Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 27, 2024

Black carbon or elemental (EC) in the atmosphere plays an ambiguous role acute respiratory toxic effects. Here, we evaluate contribution of EC to short-term toxicity (including cytotoxicity and oxidative stress potency) fine particulate matter (PM2.5) on human tract using vitro airway organoids cell lines. The potency per unit mass, including char soot, is more than 2 orders magnitude lower that polycyclic aromatic hydrocarbons (PAHs), which are coemitted from incomplete combustion. contributes approximately 1 order less PM2.5 PAHs, despite its positive associations with PM2.5-induced (p < 0.0001). Furthermore, PAHs contribute 71.9 ± 12.2% 61.9 32.8% overall emitted typical burning solid liquid fuels, respectively, while significantly correlates content (r = 0.94, p 0.002). Hence, not a cause inducing toxicity, likely attributed PAHs. These findings provide causal evidence for understanding health risks associated exposure further benefit establishing efficient air pollution control policies.

Язык: Английский

Процитировано

2
Current Situation and Prospect of Geospatial AI in Air Pollution Prediction DOI Creative Commons

Chengqian Wu,

Siyu Lu, Jiawei Tian

и другие.

Atmosphere, Год журнала: 2024, Номер 15(12), С. 1411 - 1411

Опубликована: Ноя. 24, 2024

Faced with increasingly serious environmental problems, scientists have conducted extensive research, among which the importance of air quality prediction is becoming prominent. This article briefly reviews utilization geographic artificial intelligence (AI) in pollution. Firstly, this paper conducts a literature metrology analysis on research geographical AI used That is, 607 documents are retrieved from Web Science (WOS) using appropriate keywords, and Citespace to summarize hotspots frontier countries field. Among them, China plays constructive role fields research. The data characteristics Earth science direction field were proposed. It then quickly expanded investigate In addition, based summarizing current status Artificial Neural Network (ANN), Recurrent (RNN), hybrid neural network models predicting (mainly PM2.5), also proposes areas for improvement. Finally, prospects future study aims development trends quality, as well methods, provide

Язык: Английский

Процитировано

2