The effect of outdoor PM2.5 on labor absenteeism due to chronic obstructive pulmonary disease

González, Patricia Pérez; Dominguez, Alan; Moraga, Ana María

doi:10.1007/s13762-018-2111-2

Cited by 4 publications

(3 citation statements)

References 49 publications

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“…González et al [ 24 ] analyzed the impact of particulate matter 2.4 on labor absenteeism because of COPD in Santiago city. The patient health information was collected from public health authorities which were processed by using Pearson's correlation analysis and mining technique.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] The Influence of Air Pollution on Pulmonary Disease Incidence Analyzed Based on Grey Correlation Analysis

Jiao

Gong

Wang

et al. 2022

Contrast Media & Molecular Imaging

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Air pollution is a primary health threat issue worldwide because it is closely concerned with respiratory diseases. A random survey reported that around 7 million people died because of ambient and household air pollution. Especially, the people suffering from asthma and chronic obstructive pulmonary disease (COPD) are highly affected by air pollutants. The air pollution components induce asthma onset and COPD acute exacerbation, which leads to maximized mortality and morbidity rate. Therefore, the influence of air pollution on COPD should be examined continuously to minimize the mortality rate. Several methods are presented in this field to investigate the relationship between health and pollutants. However, the existing approaches are only predicting the short-term data and have difficulties such as computation time, redundant data in large data analysis, and data continuity. Then, this research introduced the meta-heuristic optimized grey correlation analysis (MH-GCA) to solve the research difficulties. The correlation analysis has several models that identify the relationship between the pollution factors with COPD disease. The method analysis of the particulate matter (〖PM〗_10) in air pollution is more relevant to COPD and lung cancer disease. The grey analysis uses the uncertainty concept to identify the particle influence on air pollution. In the analysis, the cuttlefish optimization algorithm was applied to select more relevant features from the pollutant list that reduces the computation time and correlation analysis rate. The introduced system was evaluated using the air quality dataset and COPD dataset developed with the help of the MATLAB tool. The system increases the influence recognition accuracy (2.48%) and MCC (3.11%) and decreases the error rate (55.89%) for different pollutants.

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Section: Related Workmentioning

confidence: 99%

[Retracted] The Influence of Air Pollution on Pulmonary Disease Incidence Analyzed Based on Grey Correlation Analysis

Jiao

Gong

Wang

et al. 2022

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

show abstract

“…Prior studies using air quality data from SINCA indicate representative concentration of areas with largest potential impact on human health within the Metropolitan Region of Santiago. 41 According to the environmental authority of Chile, a monitoring station with population representation, considers a representative area of the exposed population around of a circle with a radius of 2 km, counted from the location of the station. In the study area ( Figure 1 ), we collected public databases for Pudahuel and Cerro Navia.…”

Section: Methodsmentioning

confidence: 99%

Air Pollution and Cardiorespiratory Changes in Older Adults Living in a Polluted Area in Central Chile

Cortés

Leiva

Ojeda

et al. 2022

Environ�Health�Insights

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One recognized cause of cardiorespiratory diseases is air pollution. Older adults (OA) are one of the most vulnerable groups that suffer from its adverse effects. The objective of the study was to analyze the association between exposure to air pollution and changes in cardiorespiratory variables in OA. Observational prospective cohort study. Health questionnaires, blood pressure (BP) measurements, lung functions, respiratory symptoms, physical activity levels, and physical fitness in high and low exposure to air pollution were all methods used in evaluating OAs in communes with high contamination rates. Linear and logistic models were created to adjust for variables of interest. A total of 92 OA participated in this study. 73.9% of the subjects were women with 72.3 ± 5.6 years. 46.7% were obese, while 12.1% consumed tobacco. The most prevalent diseases found were hypertension, diabetes, and cardiovascular disease. Adjusted linear models maintained an increase for systolic BP of 6.77 mmHg (95% CI: 1.04-12.51), and diastolic of 3.51 mmHg (95% CI: 0.72-6.29), during the period of high exposure to air pollution. The adjusted logistic regression model indicated that, during the period of high exposure to air pollution increase the respiratory symptoms 4 times more (OR: 4.43, 95% CI: 2.07-10.04) in the OA. The results are consistent with an adverse effect on cardiorespiratory variables in periods of high exposure to air pollution in the OA population.

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“…Microscopic pollutants mostly formed by fossil fuel combustion are key factors associated with respiratory diseases, particularly with COPD. Specifically, PM 2.5 with an aerodynamic diameter between 2.5 and 2.8 microns is confirmed as a cause of COPD (González et al 2019 ). The WHO estimates that in 2016, exposure to PM 2.5 causes 4.2 million premature deaths worldwide (91% of which occur in low- and middle-income countries), while 18% of mortality is due to COPD and acute lower respiratory infections (Sadatsafavi and Sin 2015 ; Chen et al 2013 ; Sin et al 2006 ).…”

Section: Introductionmentioning

confidence: 98%

The effect of consecutive ambient air pollution on the hospital admission from chronic obstructive pulmonary disease in the Chengdu region, China

Zhang

Wang

Cao

et al. 2021

Air Qual Atmos Health

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Hospitalisation risks for chronic obstructive pulmonary disease (COPD) have been attributed to ambient air pollution worldwide. However, a rise in COPD hospitalisations may indicate a considerable increase in fatality rate in public health. The current study focuses on the association between consecutive ambient air pollution (CAAP) and COPD hospitalisation to offer predictable early guidance towards estimates of COPD hospital admissions in the event of consecutive exposure to air pollution. Big data analytics were collected from 3-year time series recordings (from 2015 to 2017) of both air data and COPD hospitalisation data in the Chengdu region in China. Based on the combined effects of CAAP and unit increase in air pollutant concentrations, a quasi-Poisson regression model was established, which revealed the association between CAAP and estimated COPD admissions. The results show the dynamics and outbreaks in the variations in COPD admissions in response to CAAP. Cross-validation and mean squared error (MSE) are applied to validate the goodness of fit. In both short-term and long-term air pollution exposures, Z test outcomes show that the COPD hospitalisation risk is greater for men than for women; similarly, the occurrence of COPD hospital admissions in the group of elderly people (> 65 years old) is significantly larger than that in lower age groups. The time lag between the air quality and COPD hospitalisation is also investigated, and a peak of COPD hospitalisation risk is found to lag 2 days for air quality index (AQI) and PM 10 , and 1 day for PM 2.5 . The big data-based predictive paradigm would be a measure for the early detection of a public health event in post-COVID-19. The study findings can also provide guidance for COPD admissions in the event of consecutive exposure to air pollution in the Chengdu region.

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The effect of outdoor PM2.5 on labor absenteeism due to chronic obstructive pulmonary disease

Cited by 4 publications

References 49 publications

[Retracted] The Influence of Air Pollution on Pulmonary Disease Incidence Analyzed Based on Grey Correlation Analysis

[Retracted] The Influence of Air Pollution on Pulmonary Disease Incidence Analyzed Based on Grey Correlation Analysis

Air Pollution and Cardiorespiratory Changes in Older Adults Living in a Polluted Area in Central Chile

The effect of consecutive ambient air pollution on the hospital admission from chronic obstructive pulmonary disease in the Chengdu region, China

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