Long-term exposure to traffic-related air pollution and cancer among survivors of myocardial infarction: A 20-year follow-up study

Cohen, Gali; Levy, Ilan; Yuval, .; Kark, Jeremy D.; Levin, Noam; Broday, David M.; Steinberg, David M.; Gerber, Yariv

doi:10.1177/2047487316669415

Cited by 33 publications

(28 citation statements)

References 50 publications

(117 reference statements)

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“…Finally, the full texts of the remaining 105 articles were inspected, of which 75 articles were excluded for the following reasons: no RR data (n = 31), air pollution not quantified (n = 14), insufficient exposure and outcome data (n = 8), a categorical range of air pollutants was used (n = 8), population sharing (n = 7), no mortality rates for cancer (n = 5), cancer incidence was used as an outcome measurement (n = 1), and smoking status was used as a co-exposure factor (n = 1). The remaining 30 cohort studies were included in the meta-analysis [ 7 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ]. All cohort studies were prospective except the study by Ancona et al [ 35 ], which was retrospective.…”

Section: Resultsmentioning

confidence: 99%

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Long-Term Exposure to Air Pollutants and Cancer Mortality: A Meta-Analysis of Cohort Studies

Kim

Shim

Park

et al. 2018

IJERPH

120

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The aim of this study was to examine the relationship between main air pollutants and all cancer mortality by performing a meta-analysis. We searched PubMed, EMBASE (a biomedical and pharmacological bibliographic database of published literature produced by Elsevier), and the reference lists of other reviews until April 2018. A random-effects model was employed to analyze the meta-estimates of each pollutant. A total of 30 cohort studies were included in the final analysis. Overall risk estimates of cancer mortality for 10 µg/m3 per increase of particulate matter (PM)2.5, PM10, and NO2 were 1.17 (95% confidence interval (CI): 1.11–1.24), 1.09 (95% CI: 1.04–1.14), and 1.06 (95% CI: 1.02–1.10), respectively. With respect to the type of cancer, significant hazardous influences of PM2.5 were noticed for lung cancer mortality and non-lung cancer mortality including liver cancer, colorectal cancer, bladder cancer, and kidney cancer, respectively, while PM10 had harmful effects on mortality from lung cancer, pancreas cancer, and larynx cancer. Our meta-analysis of cohort studies indicates that exposure to the main air pollutants is associated with increased mortality from all cancers.

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Section: Resultsmentioning

confidence: 99%

“…The number of high-quality studies (NOS score ≥ 8) was 21. Data were extracted from the general population in all studies except four, which were conducted on breast cancer patients [ 29 ], lung cancer patients [ 37 ], patients with myocardial infarction [ 40 ], and liver cancer patients [ 43 ], respectively.…”

Section: Resultsmentioning

confidence: 99%

Long-Term Exposure to Air Pollutants and Cancer Mortality: A Meta-Analysis of Cohort Studies

Kim

Shim

Park

et al. 2018

IJERPH

120

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“…[2][3][4] This is supported by a growing body of evidence indicating an increased risk of acute and chronic diseases (e.g. respiratory infections, 5 arterial hypertension, 6 cancer, 7,8 diabetes mellitus, 9 cardiovascular disease) 10 upon exposure to traffic-associated air pollution.…”

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confidence: 94%

Impact of diesel exposure on human health: the saga continues …

Prochaska

Müller

Wild

2020

European Journal of Preventive Cardiology

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“…Exposure to air pollution can affect everyone, but it can be particularly harmful to people with a heart disease or a lung condition, elderly people, and children. Studies show that long-term exposure to fine particulate air pollution or traffic-related air pollution is associated with environmentalcause mortality, even at concentration ranges well below the standard annual mean limit value [1,2]. erefore, building an early warning system, which provides precise forecast and also alerts health alarm to local inhabitants will provide valuable information to protect humans from damage by air pollution.…”

Section: Introductionmentioning

confidence: 99%

A Multiple Kernel Learning Approach for Air Quality Prediction

Zheng

et al. 2018

Advances in Meteorology

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Air quality prediction is an important research issue due to the increasing impact of air pollution on the urban environment. However, existing methods often fail to forecast high-polluting air conditions, which is precisely what should be highlighted. In this paper, a novel multiple kernel learning (MKL) model that embodies the characteristics of ensemble learning, kernel learning, and representative learning is proposed to forecast the near future air quality (AQ). e centered alignment approach is used for learning kernels, and a boosting approach is used to determine the proper number of kernels. To demonstrate the performance of the proposed MKL model, its performance is compared to that of classical autoregressive integrated moving average (ARIMA) model; widely used parametric models like random forest (RF) and support vector machine (SVM); popular neural network models like multiple layer perceptron (MLP); and long short-term memory neural network. Datasets acquired from a coastal city Hong Kong and an inland city Beijing are used to train and validate all the models. Experiments show that the MKL model outperforms the other models. Moreover, the MKL model has better forecast ability for high health risk category AQ.

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Long-term exposure to traffic-related air pollution and cancer among survivors of myocardial infarction: A 20-year follow-up study

Abstract: Chronic exposure to traffic-related air pollution may constitute an environmental risk factor for cancer post-myocardial infarction. Variation in the strength of association between specific cancers needs to be explored further.

Cited by 33 publications

References 50 publications

Long-Term Exposure to Air Pollutants and Cancer Mortality: A Meta-Analysis of Cohort Studies

Long-Term Exposure to Air Pollutants and Cancer Mortality: A Meta-Analysis of Cohort Studies

Impact of diesel exposure on human health: the saga continues …

A Multiple Kernel Learning Approach for Air Quality Prediction

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