scholarly journals LUNG CANCER INCIDENCE IN VARIOUS CITIES OF THE WORLD (REVIEW)

2020 ◽  
Vol 66 (3) ◽  
pp. 239-246
Author(s):  
Liliya Zhuykova ◽  
Yevgeniy Choynzonov ◽  
Olga Ananina ◽  
Nina Lyakhova ◽  
Lidiya Pikalova

Apart from smoking, an urban factor is an established risk factor for lung cancer. Lung cancer is associated with environmental factors, occupational exposure, bad habits and lifestyle factors. Approximately 17% of the annual deaths from lung cancer among adults are attributable to exposure to carcinogens located in the surface layer of the urban atmosphere, with industrial pollution and occupational hazards. According to recent data, 97% of cities in low- and middle-income countries with a population of more than 100 thousand people do not meet WHO recommendations for air quality; in high-income countries, this figure has been reduced to 49%. In the United States, the studies demonstrated that the prevalence of combined lung cancer was higher in urban areas (10.2%) than in rural areas (4.8%). There was a difference in the lung cancer incidence rates between the populations of the New York City and the New York State. In males, the lung cancer incidence rates were 1.4 times higher in the New York City than in the New York State (68.9 ± 1.2 0/0000 versus 48.5 ± 0.2 0/0000). In females, the lung cancer incidence rates were 1.2 times higher in the New York City than in the New York State (43.0 ± 0.3 and 34.9 ± 0.1 0/0000, respectively). In China, in urban areas, the lung cancer incidence mortality rates were 36.6 0/0000 and 28.9 0/0000, respectively. In rural areas, the corresponding values were 33.4 and 26.6 0/0000, respectively. Although the lung cancer incidence and mortality rates are higher in urban areas than in rural areas, these differences are gradually decreasing: the incidence rate between urban and rural areas has decreased from 2.1 to 1.1. The issue of the impact of environment on the incidence of lung cancer is challenging. The outdoor environment affects people’s health with varying degrees of intensity both in time and in space.

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0119251 ◽  
Author(s):  
Dana S. Mowls ◽  
D. Robert McCaffree ◽  
Laura A. Beebe

2015 ◽  
Author(s):  
Timothy Conwell ◽  
Francis P Boscoe

We measured urban/rural disparities in cancer incidence in New York State using a data set with more than 500,000 tumors diagnosed among New York State residents between 2008-2012 geocoded to the census tract level. Using poisson regression, we computed the site and stage-specific relative risks of cancer by level of urbanicity after adjustment for age, sex, socioeconomic status and race/ethnicity. 18 of the 23 cancer sites analyzed showed some form of significant association between cancer incidence and urbanicity, although the risk differences were generally small. Differences in risk of 50% or more were seen for stomach, liver, distant-stage uterine, and thyroid cancers (each higher in New York City than in rural areas); esophagus, distant-stage kidney, and distant-stage lung (each lower in New York City than in rural areas); and distant-stage prostate cancer (higher in rural areas).


2015 ◽  
Author(s):  
Timothy Conwell ◽  
Francis P Boscoe

We measured urban/rural disparities in cancer incidence in New York State using a data set with more than 500,000 tumors diagnosed among New York State residents between 2008-2012 geocoded to the census tract level. Using poisson regression, we computed the site and stage-specific relative risks of cancer by level of urbanicity after adjustment for age, sex, socioeconomic status and race/ethnicity. 18 of the 23 cancer sites analyzed showed some form of significant association between cancer incidence and urbanicity, although the risk differences were generally small. Differences in risk of 50% or more were seen for stomach, liver, distant-stage uterine, and thyroid cancers (each higher in New York City than in rural areas); esophagus, distant-stage kidney, and distant-stage lung (each lower in New York City than in rural areas); and distant-stage prostate cancer (higher in rural areas).


Lung Cancer ◽  
2014 ◽  
Vol 86 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Keisha A. Houston ◽  
S. Jane Henley ◽  
Jun Li ◽  
Mary C. White ◽  
Thomas B. Richards

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13584-e13584
Author(s):  
Seema Patel ◽  
Anees B. Chagpar

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]


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