Global burden of COPD attributable to ambient PM2.5 in 204 countries and territories, 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

Yang, Xiaorong; Zhang, Tongchao; Zhang, Yuan; Chen, Hao; Sang, Shaowei

doi:10.1016/j.scitotenv.2021.148819

Cited by 107 publications

(59 citation statements)

References 44 publications

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“…Exposure to PM 2.5 can increase the risk of numerous adverse health effects, such as lung cancer, preterm birth, and cardiovascular disease [11][12][13]. In a 2019 analysis of the Global Burden of Disease study, Yang et al (2021) similarly documented a dramatic increase in the number of deaths between 1990 and 2019 due to chronic obstructive pulmonary disease (COPD) attributable to PM 2.5 exposure [14].…”

Section: Introductionmentioning

confidence: 99%

“…Globally, the fastest growth in cases and age-standardized mortality rates for COPD and disability-adjusted life years attributable to PM 2.5 has occurred in areas characterized by a low sociodemographic index [14]. Similar patterns were observed on a county-bycounty basis as well, as illustrated by Verbeek et al (2019), who conducted a spatial analysis in Ghent, Belgium, and showed an inverse relationship between income level and both noise and air pollution exposure (Verbeek, 2019), as well as Li et al (2018), who reported a positive association between ambient PM 2.5 concentrations and the social deprivation index in Hong Kong [15,16].…”

Section: Introductionmentioning

confidence: 99%

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Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM2.5 Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA

Masri

Cox

Flores³

et al. 2022

Atmosphere

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PM2.5 is an air pollutant that is widely associated with adverse health effects, and which tends to be disproportionately located near low-income communities and communities of color. We applied a community-engaged research approach to assess the distribution of PM2.5 concentrations in the context of community concerns and urban features within and around the city of Santa Ana, CA. Approximately 183 h of one-minute average PM2.5 measurements, along with high-resolution geographic coordinate measurements, were collected by volunteer community participants using roughly two dozen low-cost AtmoTube Pro air pollution sensors paired with real-time GPS tracking devices. PM2.5 varied by region, time of day, and month. In general, concentrations were higher near the city’s industrial corridor, which is an area of concern to local community members. While the freeway systems were shown to correlate with some degree of elevated air pollution, two of four sampling days demonstrated little to no visible association with freeway traffic. Concentrations tended to be higher within socioeconomically disadvantaged communities compared to other areas. This pilot study demonstrates the utility of using low-cost air pollution sensors for the application of community-engaged study designs that leverage community knowledge, enable high-density air monitoring, and facilitate greater health-related awareness, education, and empowerment among communities. The mobile air-monitoring approach used in this study, and its application to characterize the ambient air quality within a defined geographic region, is in contrast to other community-engaged studies, which employ fixed-site monitoring and/or focus on personal exposure. The findings from this study underscore the existence of environmental health inequities that persist in urban areas today, which can help to inform policy decisions related to health equity, future urban planning, and community access to resources.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM2.5 Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA

Masri

Cox

Flores³

et al. 2022

Atmosphere

View full text Add to dashboard Cite

show abstract

“…Regarding health hazard assessment, Bu et al [ 24 ] demonstrated that 4.58 million deaths and 142.52 million disability-adjusted life years were caused by PM 2.5 exposure globally in 2017, and the increasing pollution will increase the burden on the health of older people and low-income groups. Long-term exposure to environments polluted by PM 2.5 has increased the global disease burden and is an obstacle to economic prosperity [ 25 ]. For China’s PM 2.5 impact assessment, Maji et al [ 26 ] pointed out that the health cost of diseases caused by PM 2.5 and PM 10 pollution in 190 cities in China was approximately 304,122 million USD from 2014–2015, accounting for 2.94% of GDP.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Evolution of Health Impact and Economic Loss upon Exposure to PM2.5 in China

Sun

Zhang

Wang

2022

IJERPH

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Exposure to PM2.5 can seriously endanger public health. Policies for controlling PM2.5 need to consider health hazards under different circumstances. Unlike most studies on the concentration, distribution, and influencing factors of PM2.5, the present study focuses on the impact of PM2.5 on human health. We analysed the spatial-temporal evolution of health impact and economic loss caused by PM2.5 exposure using the log-linear exposure-response function and benefit transfer method. The results indicate that the number of people affected by PM2.5 pollution fluctuated and began to decline after reaching a peak in 2014, benefiting from the Air Pollution Prevention and Control Action Plan. Regarding the total economic loss, the temporal pattern continued to rise until 2014 and then declined, with an annual mean of 86,886.94 million USD, accounting for 1.71% of China’s GDP. For the spatial pattern, the health impact and economic loss show a strong spatial correlation and remarkable polarisation phenomena, with high values in East China, North China, Central China, and South China, but low values in Southwest China, Northwest China, and Northeast China. The spatial-temporal characterisation of PM2.5 health hazards is visualised and analysed accordingly, which can provide a reference for more comprehensive and effective policy decisions.

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“…Protracted exposure to air pollutants, including oxides of nitrogen (NO x ), ambient ozone (O 3 ), emitted hydrocarbons (HC), and fine particulate matter < 2.5 μm in aerodynamic diameter (PM 2.5 ), has been implicated in the progressive reduction of pulmonary function in patients with COPD/emphysema [ 5 , 6 , 7 ]. The significant increase in PM 2.5 exposure-specific COPD burden observed over the last decade [ 8 ], cannot be decoupled from reported reduction in lung function indices, such as the forced vital capacity (FVC), forced expiratory volume in 1s (FEV1), maximum mid-expiratory flow (MMEF), and FEV1/FVC ratio, elicited by every 5 μg/m 3 increase in PM 2·5 [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Determinants of Pulmonary Emphysema Severity in Taiwanese Patients with Chronic Obstructive Pulmonary Disease: An Integrated Epigenomic and Air Pollutant Analysis

Sun

Lee

et al. 2021

Biomedicines

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Background: Chronic obstructive pulmonary disease (COPD) continues to pose a therapeutic challenge. This may be connected with its nosological heterogeneity, broad symptomatology spectrum, varying disease course, and therapy response. The last three decades has been characterized by increased understanding of the pathobiology of COPD, with associated advances in diagnostic and therapeutic modalities; however, the identification of pathognomonic biomarkers that determine disease severity, affect disease course, predict clinical outcome, and inform therapeutic strategy remains a work in progress. Objectives: Hypothesizing that a multi-variable model rather than single variable model may be more pathognomonic of COPD emphysema (COPD-E), the present study explored for disease-associated determinants of disease severity, and treatment success in Taiwanese patients with COPD-E. Methods: The present single-center, prospective, non-randomized study enrolled 125 patients with COPD and 43 healthy subjects between March 2015 and February 2021. Adopting a multimodal approach, including bioinformatics-aided analyses and geospatial modeling, we performed an integrated analysis of selected epigenetic, clinicopathological, geospatial, and air pollutant variables, coupled with correlative analyses of time-phased changes in pulmonary function indices and COPD-E severity. Results: Our COPD cohort consisted of 10 non-, 57 current-, and 58 ex-smokers (median age = 69 ± 7.76 years). Based on the percentages of low attenuation area below − 950 Hounsfield units (%LAA-950insp), 36 had mild or no emphysema (%LAA-950insp < 6), 22 were moderate emphysema cases (6 ≤ %LAA-950insp < 14), and 9 presented with severe emphysema (%LAA-950insp ≥ 14). We found that BMI, lnc-IL7R, PM2.5, PM10, and SO2 were differentially associated with disease severity, and are highly-specific predictors of COPD progression. Per geospatial levels, areas with high BMI and lnc-IL7R but low PM2.5, PM10, and SO2 were associated with fewer and ameliorated COPD cases, while high PM2.5, PM10, and SO2 but low BMI and lnc-IL7R characterized places with more COPD cases and indicated exacerbation. The prediction pentad effectively differentiates patients with mild/no COPD from moderate/severe COPD cases, (mean AUC = 0.714) and exhibited very high stratification precision (mean AUC = 0.939). Conclusion: Combined BMI, lnc-IL7R, PM2.5, PM10, and SO2 levels are optimal classifiers for accurate patient stratification and management triage for COPD in Taiwan. Low BMI, and lnc-IL7R, with concomitant high PM2.5, PM10, and SO2 levels is pathognomonic of exacerbated/aggravated COPD in Taiwan.

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Global burden of COPD attributable to ambient PM2.5 in 204 countries and territories, 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

Cited by 107 publications

References 44 publications

Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM2.5 Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA

Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM2.5 Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA

Spatial-Temporal Evolution of Health Impact and Economic Loss upon Exposure to PM2.5 in China

Determinants of Pulmonary Emphysema Severity in Taiwanese Patients with Chronic Obstructive Pulmonary Disease: An Integrated Epigenomic and Air Pollutant Analysis

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