Spatial analysis of air pollution and cancer incidence rates in Haifa Bay, Israel

2010 ◽  
Vol 408 (20) ◽  
pp. 4429-4439 ◽  
Author(s):  
Ori Eitan ◽  
Yuval ◽  
Micha Barchana ◽  
Jonathan Dubnov ◽  
Shai Linn ◽  
...  
Keyword(s):  
Air Pollution ◽  
Spatial Analysis ◽  
Cancer Incidence ◽  
Incidence Rates ◽  
Cancer Incidence Rates

scholarly journals Associations between ambient air pollution and cancer incidence in Taiwan: an ecological study of geographical variations

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Shih-Yung Su ◽  
Yung-Po Liaw ◽  
Jing-Rong Jhuang ◽  
Shu-Yi Hsu ◽  
Chun-Ju Chiang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Cancer Incidence ◽  
Ecological Study ◽  
Correlation Coefficients ◽  
Ambient Air ◽  
Incidence Rates ◽  
Health Concern ◽  
Aerodynamic Diameter ◽  
Cancer Incidence Rates

Abstract Background Air pollution is a global public health concern. The World Health Organization has recently set up a goal of saving 7 million people globally by 2030 from air pollution related death. We conducted an ecological study of geographical variation to explore the association between air pollution (specifically, particulate matter <2.5 μm in aerodynamic diameter [PM2.5], particulate matter <10 μm in aerodynamic diameter, sulfur dioxide, nitrogen dioxide, nitric oxide, and ozone) and cancer incidence in Taiwan, from 2012 to 2016. Methods In this study, the yearly average concentrations of each air pollutant at 75 air quality monitoring stations were calculated, and using the kriging method, the concentrations were extrapolated to each and every geographical central point of 349 local administrative areas of Taiwan. Spearman rank correlation coefficients between the age-adjusted cancer incidence rates and various air pollutants were calculated by stratifying genders and urbanization degrees of the local administrative areas. A total of 70 correlation coefficients were calculated. Results In total, 17 correlation coefficients were significantly positive at an alpha level of 0.05. Among these, four correlation coefficients between the age-adjusted cancer incidence rates and PM2.5 levels remained significant after Bonferroni correction. For men in developing towns, general towns, and aged towns and for women in aged towns, the age-adjusted cancer incidence rates increased 13.1 (95% confidence interval [CI], 8.8–17.6), 11 (95% CI, 5.6–16.4), 16.7 (95% CI, 6.9–26.4), and 11.9 (95% CI, 5.6–18.2) per 100,000 populations, respectively, for every 1 μg/m3 increment in PM2.5 concentrations. Conclusions A significantly positive correlation was observed between the PM2.5 level and cancer incidence rate after multiple testing correction.

Is there an association between air pollution levels and lung cancer incidence?

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13584-e13584
Author(s):  
Seema Patel ◽  
Anees B. Chagpar
Keyword(s):  
Lung Cancer ◽  
Air Pollution ◽  
Linear Regression ◽  
Cancer Incidence ◽  
Incidence Rates ◽  
Lung Cancer Incidence ◽  
Specific Data ◽  
Pollution Levels ◽  
Cancer Incidence Rates ◽  
Country Specific

e13584 Background: PM2.5 particles are an indicator of air pollution levels associated with various respiratory illnesses. We sought to determine the association between air pollution levels and lung cancer incidence across different countries. Methods: Country-specific data for median PM2.5 levels and age-standardized lung cancer incidence rates (ASLCIR) were collected for the year 2016 from the World Health Organization and the Global Cancer Observatory, respectively. Country-specific data for median age and proportion of smokers were collected from the Central Intelligence Agency and Our World in Data, respectively. Statistical analyses were performed using SPSS Version 26.0. Results: Across 105 countries, the median PM2.5 level was 18 ug/m3 (range; 6-94 ug/m3). The WHO has set 10 ug/m3 as the upper limit for PM2.5 levels; 91 (86.7%) of countries had rates higher than this. The ASLCIR was surprisingly higher in countries with PM2.5 ≤ 10 ug/m3 (median 28.7 vs. 13.9 per 100,000 population, Pearson correlation coefficient -0.386, p < 0.001). Countries with PM2.5 levels ≤ 10 ug/m3 tended to have a higher GDP (median $55,709 vs. $5,931, p < 0.001), and an older population (median 41.5 vs. 30.4, p < 0.001); however, the proportion of population who smoked was no different in countries with low vs. high PM2.5 levels (20.3% vs. 22.5%, p = 0.847). Controlling for age, GDP, and proportion of the population who smoke in a multiple linear regression model, ASLCIR were not influenced by median PM2.5 (see linear regression table below, p = 0.888). Removing PM2.5 levels from the model did not significantly affect the model fit (R2= 0.749 in both models). Conclusions: These results demonstrate that air pollution levels do not significantly impact lung cancer incidence rates, which are more related to age, tobacco use, and GDP. [Table: see text]

scholarly journals Influence of Diet and Tobacco Smoking on Pancreatic Cancer Incidence in Poland in 1960–2008

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Mirosław Jarosz ◽  
Włodzimierz Sekuła ◽  
Ewa Rychlik
Keyword(s):  
Pancreatic Cancer ◽  
Cancer Incidence ◽  
Tobacco Smoking ◽  
Red Meat ◽  
Incidence Rates ◽  
Dietary Factors ◽  
Balance Sheets ◽  
Animal Fats ◽  
The Relationship ◽  
Cancer Incidence Rates

The aim of the study was to investigate the relationship between pancreatic cancer incidence and selected dietary factors, alcohol consumption, and tobacco smoking in Poland in 1960–2008. Data on pancreatic cancer morbidity were derived from the National Cancer Registry and on food consumption from the national food balance sheets. In 1960–1989 correlations were found between pancreatic cancer incidence rates and energy (0.60 for males and 0.57 for females), cholesterol (0.87 and 0.80), fibre (−0.84 and −0.89) and folate (−0.45 and −0.49) intake, the consumption of total fats (0.94 and 0.91), animal fats (0,90 and 0,82), sugar (0.88 and 0.87), cereals (−0.93 and −0.91), and alcohol (0.86 and 0.82). In 1990–2008 morbidity correlated with the consumption of red meat (0.67 and 0.48), poultry (−0.88 and −0.57), and fruit (−0.62 and −0.50). Correlation with tobacco smoking was observed in the whole studied period (0.55 and 0.44). Increased incidence of pancreatic cancer in 1960–1995 was probably related to adverse dietary patterns up to 1989, especially high consumption of fats, sugar, and alcohol. Further positive changes in the diet such as lowering red meat consumption and increasing fruit consumption could influence incidence reduction in recent years. Also changes in tobacco smoking could affect the morbidity.

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