Influence of PM1 exposure on total and cause-specific respiratory diseases: a systematic review and meta-analysis

Hu, Yaoyu; Wu, Mengqiu; Li, Yutong; Liu, Xiangtong

doi:10.1007/s11356-021-16536-0

Cited by 23 publications

(14 citation statements)

References 47 publications

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“…Beijing (Wang et al 2021a). However, a meta-analysis of hospitalisation, EDV and prevalence data from China, Vietnam and America published between 2004 and 2021 showed that PM1 exposure had no significant association with increase in RI hospitalisation risks (Hu et al 2022). Therefore, there is still a lack of understanding regarding how PM1 exposure contributes to the development of respiratory diseases and how long it takes for disease progression, which may also explain the inconsistency of results reported here.…”

Section: Discussionmentioning

confidence: 60%

“…It was found that PM1 accounts for 80% of PM2.5 mass contents (Chen et al 2018), indicating that PM2.5-related health effects is likely dependent on the existence of PM1.In fact, short-term PM1-dependent effects have been previously implicated in the cause of various diseases by assessing relative health risk metrics. This includes emergency ambulance call, emergency department visits (EDV), and mortality (GB Chen et al 2017a;Hu et al 2022;H Lin et al 2018;LJ Liu et al 2021;Wang et al 2021a;Yin et al 2019;Zhang et al 2020b). Recently, studies have mostly focused on the implications of short-term PM1 exposure in hospital admissions related to cardiovascular diseases and strokes (Liu et al 2022;Tian et al 2023;Zheng et al 2023;Zhou et al 2023), less is understood on the impact on respiratory disease hospitalisations (Li et al 2023;Zhang et al 2020a).…”

Section: Introductionmentioning

confidence: 99%

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WITHDRAWN: The association between short-term exposure to PM1 and daily hospital admission and related expenditures in Beijing

Xu,

Chen,

Fan

et al. 2024

Preprint

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Ambient particulate matter (PM) pollution has been a leading environmental health threat throughout the world. PM with aerodynamic diameter ≤ 1.0 µm, also known as PM1, has been implicated in the morbidity and mortality of several cardiorespiratory and cerebrovascular diseases. However, previous studies have mostly focused on analysing fine PM (PM2.5) associated disease metrics including emergency department visits and mortality. Here, using air pollution and hospital admission (HA) data in Beijing from 2015 to 2017, we performed a time-series analysis and meta-analysis to evaluate the association between short-term PM1 exposure and HA of all-cause, chronic obstructive pulmonary disease (COPD) and respiratory infection (RI) diseases. It was found that as per 10 µg/m3 increase of PM1 concentration, all-cause disease HA increased by 0.07% (95% CI: [0, 0.14%]) in Beijing during 2015–2017, while COPD and RI-related HA was not significantly associated with short-term PM1 exposure. We then estimated the attributable number of HA and hospital expenditure related to all-cause diseases. An average of 6644 (95% CI: [351, 12917]) cases of HA were found to be attributable to ambient PM1, which was estimated to associate with 106 (95% CI: [5.6, 207]) million CNY increase in hospital expenditure every year, accounting for 0.32% (95% CI: [0.02, 0.62%]) of the annual total expense. The findings reported here highlights the underlying impact of ambient PM pollution on health risks and economic burden to the society, which also indicates the need for further policy actions on public health.

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Section: Discussionmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: The association between short-term exposure to PM1 and daily hospital admission and related expenditures in Beijing

Xu,

Chen,

Fan

et al. 2024

Preprint

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“…In our study, we focused on a limited list of 45 contaminants commonly found in dwellings, selected based on their known harmful effects and availability of data. However, an important limitation is the omission of emerging contaminants like PM 1 and ultrafine particles PM 0.1 , fungicides and pesticides, flame retardants, and endocrine disruptors such as phthalates, which have gained increasing attention in research. ,− These substances have the potential to significantly contribute to harm in indoor environments. Therefore, future studies should expand the scope to include these emerging contaminants, enabling a more comprehensive assessment of harm.…”

Section: Discussionmentioning

confidence: 99%

Harm from Residential Indoor Air Contaminants

Morantes,

Jones,

Molina

et al. 2023

Environ. Sci. Technol.

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This study presents a health-centered approach to quantify and compare the chronic harm caused by indoor air contaminants using disability-adjusted life-year (DALY). The aim is to understand the chronic harm caused by airborne contaminants in dwellings and identify the most harmful. Epidemiological and toxicological evidence of population morbidity and mortality is used to determine harm intensities, a metric of chronic harm per unit of contaminant concentration. Uncertainty is evaluated in the concentrations of 45 indoor air contaminants commonly found in dwellings. Chronic harm is estimated from the harm intensities and the concentrations. The most harmful contaminants in dwellings are PM 2.5 , PM 10−2.5 , NO 2 , formaldehyde, radon, and O 3 , accounting for over 99% of total median harm of 2200 DALYs/10 5 person/year. The chronic harm caused by all airborne contaminants in dwellings accounts for 7% of the total global burden from all diseases.

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“…Moreover, Hu et al (2022) conducted a systematic review finding that, for a 10 µg m −3 increase in PM 1 , there is a pooled odds ratio of 1.05 (95% CI 0.98-1.12) for total respiratory diseases, 1.25 (95% CI 1.00-1.56) for asthma, and 1.07 (95% CI 1.04-1.10) for pneumonia. This establishes that there is a positive association between this contaminant and these health outcomes.…”

Section: Pm I -24 H Data Anddescriptive Statisticsmentioning

confidence: 99%

Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador

Rincón

Morantes

Roa-López

et al. 2022

Stoch Environ Res Risk Assess

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Guayaquil, Ecuador, is in a tropical area on the equatorial Pacific Ocean coast of South America. Since 2008 the city has been increasing its population, vehicle fleet and manufacturing industries. Within the city there are various industrial and urban land uses sharing the same space. With regard to air quality there is a lack of government information on it. Therefore, the research’s aim was to investigate the spatio-temporal characteristics of PM1 and PM2.5 concentrations and their main influencing factors. For this, both PM fractions were sampled and a bivariate analysis (cross-correlation and Pearson's correlation), multivariate linear and logistic regression analysis was applied. Hourly and daily PM1 and PM2.5 were the dependent variables, and meteorological variables, occurrence of events and characteristics of land use were the independent variables. We found 48% exceedances of the PM2.5-24 h World Health Organization 2021 threshold’s, which questions the city’s air quality. The cross-correlation function and Pearson’s correlation analysis indicate that hourly and daily temperature, relative humidity, and wind speed have a complex nonlinear relationship with PM concentrations. Multivariate linear and logistic regression models for PM1-24 h showed that rain and the flat orography of cement plant sector decrease concentrations; while unusual PM emission events (traffic jams and vegetation-fires) increase them. The same models for PM2.5-24 h show that the dry season and the industrial sector (strong activity) increase the concentration of PM2.5-24 h, and the cement plant decrease them. Public policies and interventions should aim to regulate land uses while continuously monitoring emission sources, both regular and unusual.

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Influence of PM1 exposure on total and cause-specific respiratory diseases: a systematic review and meta-analysis

Cited by 23 publications

References 47 publications

WITHDRAWN: The association between short-term exposure to PM1 and daily hospital admission and related expenditures in Beijing

WITHDRAWN: The association between short-term exposure to PM1 and daily hospital admission and related expenditures in Beijing

Harm from Residential Indoor Air Contaminants

Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador

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