scholarly journals A novel Approach for Analysis of the Log-Linear Age-period-Cohort Model: Application to Lung Cancer Incidence

2009 ◽  
Vol 7 ◽  
pp. CIN.S3572 ◽  
Author(s):  
Tengiz Mdzinarishvili ◽  
Michael X. Gleason ◽  
Simon Sherman
Keyword(s):  
Lung Cancer ◽  
Cancer Incidence ◽  
Lung Cancer Incidence ◽  
Cohort Model ◽  
Model Application ◽  
Novel Approach ◽  
Log Linear

scholarly journals Multiple air pollutant exposure and lung cancer in Tehran, Iran

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zahra Khorrami ◽  
Mohsen Pourkhosravani ◽  
Maysam Rezapour ◽  
Koorosh Etemad ◽  
Seyed Mahmood Taghavi-Shahri ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Air Pollution ◽  
Cancer Incidence ◽  
Latent Profile Analysis ◽  
Negative Binomial ◽  
Profile Analysis ◽  
Positive Association ◽  
Air Pollutant ◽  
World Health ◽  
Lung Cancer Incidence

AbstractLung cancer is the most rapidly increasing malignancy worldwide with an estimated 2.1 million cancer cases in the latest, 2018 World Health Organization (WHO) report. The objective of this study was to investigate the association of air pollution and lung cancer, in Tehran, Iran. Residential area information of the latest registered lung cancer cases that were diagnosed between 2014 and 2016 (N = 1,850) were inquired from the population-based cancer registry of Tehran. Long-term average exposure to PM10, SO2, NO, NO2, NOX, benzene, toluene, ethylbenzene, m-xylene, p-xylene, o-xylene (BTEX), and BTEX in 22 districts of Tehran were estimated using land use regression models. Latent profile analysis (LPA) was used to generate multi-pollutant exposure profiles. Negative binomial regression analysis was used to examine the association between air pollutants and lung cancer incidence. The districts with higher concentrations for all pollutants were mostly in downtown and around the railway station. Districts with a higher concentration for NOx (IRR = 1.05, for each 10 unit increase in air pollutant), benzene (IRR = 3.86), toluene (IRR = 1.50), ethylbenzene (IRR = 5.16), p-xylene (IRR = 9.41), o-xylene (IRR = 7.93), m-xylene (IRR = 2.63) and TBTEX (IRR = 1.21) were significantly associated with higher lung cancer incidence. Districts with a higher multiple air-pollution profile were also associated with more lung cancer incidence (IRR = 1.01). Our study shows a positive association between air pollution and lung cancer incidence. This association was stronger for, respectively, p-xylene, o-xylene, ethylbenzene, benzene, m-xylene and toluene.

Do socioeconomic factors modify the effects of PM1 and SO2 on lung cancer incidence in China?

2021 ◽  
Vol 756 ◽  
pp. 143998
Author(s):  
Huagui Guo ◽  
Jing Wei ◽  
Xin Li ◽  
Hung Chak Ho ◽  
Yimeng Song ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Socioeconomic Factors ◽  
Cancer Incidence ◽  
Lung Cancer Incidence

scholarly journals Spatial and Temporal Analysis of Lung Cancer in Shenzhen, 2008–2018

2020 ◽  
Vol 18 (1) ◽  
pp. 26
Author(s):  
Lin Lei ◽  
Anyan Huang ◽  
Weicong Cai ◽  
Ling Liang ◽  
Yirong Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Spatial Autocorrelation ◽  
Incidence Rate ◽  
Cancer Incidence ◽  
Southern China ◽  
Percentage Change ◽  
Spatial Autocorrelation Analysis ◽  
Lung Cancer Incidence ◽  
Annual Percentage Change ◽  
Autocorrelation Analysis

Lung cancer is the most commonly diagnosed cancer in China. The incidence trend and geographical distribution of lung cancer in southern China have not been reported. The present study explored the temporal trend and spatial distribution of lung cancer incidence in Shenzhen from 2008 to 2018. The lung cancer incidence data were obtained from the registered population in the Shenzhen Cancer Registry System between 2008 and 2018. The standardized incidence rates of lung cancer were analyzed by using the joinpoint regression model. The Moran’s I method was used for spatial autocorrelation analysis and to further draw a spatial cluster map in Shenzhen. From 2008 to 2018, the average crude incidence rate of lung cancer was 27.1 (1/100,000), with an annual percentage change of 2.7% (p < 0.05). The largest average proportion of histological type of lung cancer was determined as adenocarcinoma (69.1%), and an increasing trend was observed in females, with an average annual percentage change of 14.7%. The spatial autocorrelation analysis indicated some sites in Shenzhen as a high incidence rate spatial clustering area. Understanding the incidence patterns of lung cancer is useful for monitoring and prevention.

Contrasting temporal trends in lung cancer incidence by socioeconomic status among women in New South Wales, Australia, 1985–2009

Lung Cancer ◽  
2017 ◽  
Vol 108 ◽  
pp. 55-61 ◽  
Author(s):  
Xue Qin Yu ◽  
Qingwei Luo ◽  
Clare Kahn ◽  
Paul Grogan ◽  
Dianne L. O’Connell ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Socioeconomic Status ◽  
Cancer Incidence ◽  
New South ◽  
New South Wales ◽  
Temporal Trends ◽  
Lung Cancer Incidence ◽  
South Wales

Lung cancer incidence in Sulaimani province during (2011–2015)

2017 ◽  
Vol 14 ◽  
pp. 11-15 ◽  
Author(s):  
Nawshirwan G. Rashid ◽  
Saman M. Mohammed ◽  
Roshna M. Abdulla ◽  
Shawnm S.H. Hama ◽  
Twana H.M. HamaSalih ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Incidence ◽  
Lung Cancer Incidence
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