Association of lung cancer incidence and COVID-19 case fatality with income level in Ohio.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 110-110
Author(s):  
Rohan Desai ◽  
Raoul Wadhwa ◽  
Jacob Scott
Keyword(s):  
Lung Cancer ◽  
Cancer Incidence ◽  
Respiratory Diseases ◽  
Case Fatality ◽  
Income Level ◽  
The State ◽  
Median Income ◽  
County Level ◽  
Lung Cancer Incidence ◽  
Case Fatality Ratio

110 Background: Social determinants of health (SDOH) have an impact of health and quality-of-life. However, most models of clinical disease and risk calculators do not incorporate SDOH. Many diseases have residual, unexplained risk after known risk factors have been incorporated. SDOH is important component of this residual risk and resources should be allocated to study their relation to disease. Here, we investigate the role of SDOH on the incidence and severity of respiratory diseases by evaluating the association of income level with lung cancer incidence and COVID-19 case fatality ratio in the state of Ohio. Methods: Socioeconomic data for the state of Ohio was manually collected. Lung cancer incidence was acquired from the National Cancer Institute’s online portal. COVID-19 case fatality ratios were downloaded from Johns Hopkins University’s GitHub repository. All three datasets contained complete information for each of Ohio’s 88 counties and were merged by county name. The first two datasets are up-to-date as of 2019, while the COVID-19 data was up-to-date as of 22 May 2021. Data manipulation, visualization, and statistical inference was conducted in the R programming language. Results: Median county-level income across Ohio was $52,722 (IQR: 47,273-59,166). Median county-level lung cancer incidence was 68.4 per 100,000 population (IQR: 62.0-80.6) and median COVID-19 case fatality ratio was 1.98% (IQR: 1.65-2.36). Data for counties with highest and lowest median income are shown in table. Lung cancer incidence and COVID-19 case fatality ratio were not significantly correlated ( n = 88, p > 0.05). Median income was significantly correlated with both, lung cancer incidence ( r = -0.49, p < 0.001) and COVID-19 case fatality ratio ( r = -0.41, p < 0.001). This implies that 24% of the variation in lung cancer incidence and 17% of the variation in COVID-19 case fatality ratio in counties across Ohio can be explained by median county income. Conclusions: SDOH is significantly associated with the incidence and severity of infectious and oncologic respiratory diseases. This association is strengthened since the disease variables themselves are uncorrelated, decreasing the likelihood of confounding. COVID-19 incidence was not used because of uncertainty in the mechanism of SDOH affecting transmission. However, theories suggest that oncologic incidence and infectious disease treatment are affected by SDOH. We validate these theories and encourage the incorporation of SDOH into clinical care and public health. Future directions include testing the association between income level and lung cancer severity in clinical datasets from medical institutions in Ohio.[Table: see text]

scholarly journals Impact of smoke-free ordinance strength on smoking prevalence and lung cancer incidence

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250285
Author(s):  
Ryan H. Nguyen ◽  
Laura B. Vater ◽  
Lava R. Timsina ◽  
Gregory A. Durm ◽  
Katelin Rupp ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Incidence ◽  
Smoking Prevalence ◽  
Tobacco Prevention ◽  
County Level ◽  
Lung Cancer Incidence ◽  
Lung Cancer Diagnosis ◽  
Free Air ◽  
Effective Public Health ◽  
The Impact

Background Smoke-free ordinances (SFO) have been shown to be effective public health interventions, but there is limited data on the impact SFO on lung cancer outcomes. We explored the effect of county-level SFO strength with smoking prevalence and lung cancer incidence in Indiana. Methods We obtained county-level lung cancer incidence from the Indiana State Cancer Registry and county-level characteristics from the Indiana Tobacco Prevention and Cessation Commission’s policy database between 1995 and 2016. Using generalized estimating equations, we performed multivariable analyses of smoking prevalence and age-adjusted lung cancer rates with respect to the strength of smoke-free ordinances at the county level over time. Results Of Indiana’s 92 counties, 24 had a SFO by 2011. In 2012, Indiana enacted a state-wide SFO enforcing at least moderate level SFO protection. Mean age-adjusted lung cancer incidence per year was 76.8 per 100,000 population and mean smoking prevalence per year was 25% during the study period. Counties with comprehensive or moderate SFO had a smoking prevalence 1.2% (95% CI [-1.88, -0.52]) lower compared with counties with weak or no SFO. Counties that had comprehensive or moderate SFO also had an 8.4 (95% CI [-11.5, -5.3]) decrease in new lung cancer diagnosis per 100,000 population per year compared with counties that had weak or no SFO. Conclusion Counties with stronger smoke-free air ordinances were associated with decreased smoking prevalence and fewer new lung cancer cases per year. Strengthening SFO is paramount to decreasing lung cancer incidence.

Impact of smoke-free ordinance strength on smoking prevalence and lung cancer incidence.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6578-6578
Author(s):  
Ryan Nguyen ◽  
Laura Vater ◽  
Lava R Timsina ◽  
Greg Andrew Durm ◽  
Katelin Rupp ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Cancer Incidence ◽  
Smoking Prevalence ◽  
Income Poverty ◽  
Tobacco Prevention ◽  
County Level ◽  
Lung Cancer Incidence ◽  
Lung Cancer Diagnosis ◽  
The Impact

6578 Background: Smoke-free ordinances (SFO) have been shown to decrease the prevalence of cardiovascular and pulmonary disease, but there is limited data on the impact of such policies on lung cancer incidence. We investigated the relationship between strength of county-level SFO with smoking prevalence and lung cancer incidence in Indiana. Methods: Following IRB approval, we queried the Indiana State Cancer Registry and Indiana Tobacco Prevention and Cessation Commission’s policy database between 1995 and 2016. County-level characteristics included population, income, poverty, education, race/ethnicity, sex, and rurality. Lung cancer diagnosis and stage were also collected. Using generalized estimating equations (GEE) with robust standard errors and accounting for the clustering effect at county level, we performed multivariable analyses of smoking prevalence and age-adjusted lung cancer rates with respect to the strength of smoke-free ordinances at the county level over time. Results: Indiana consists of 92 counties, 24 of which had SFO by 2011. In 2012, Indiana enacted a law mandating at least a moderate state-wide SFO. From 1995 to 2016, 110,935 Indiana residents were diagnosed with lung cancer. Indiana also had an average age-adjusted yearly lung cancer incidence of 76.8 per 100,000 population and average yearly smoking prevalence of 25% during this time. Smoking prevalence was 1.2% (95% CI [-1.88, -0.52]) lower in counties with comprehensive or moderate SFO compared with those with weak or no SFO. Counties that had comprehensive or moderate SFO had an 8.36 (95% CI [-11.45, -5.27]) decrease in new lung cancer diagnosis per 100,000 population per year compared with counties that had weak or no SFO. Conclusions: Stronger municipal smoke-free air ordinances are associated with decreased smoking prevalence and fewer new lung cancer cases. Strengthening smoke-free ordinances is paramount to decreasing lung cancer incidence.

Cancer incidence and mortality in the USA Astronaut Corps, 1959–2017

2021 ◽  
pp. oemed-2020-107143
Author(s):  
Robert Reynolds ◽  
Mark P Little ◽  
Steven Day ◽  
Jacqueline Charvat ◽  
Steven Blattnig ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Colon Cancer ◽  
General Population ◽  
Cancer Incidence ◽  
Case Fatality ◽  
Incidence Rates ◽  
Cancer Case ◽  
Case Fatality Ratio ◽  
Incidence And Mortality ◽  
The Us

ObjectivesCancer incidence and mortality are important outcomes in the surveillance of long-term astronaut health. We compare cancer incidence rates, cancer-specific mortality rates, and cancer case-fatality ratios in US astronauts with those in the US general population.MethodsWe use standardised incidence ratios (SIRs) and standardised mortality ratios (SMRs) to index the incidence and mortality of various cancers against rates in the US general population, from the US astronaut cohort inception in April 1959 through 31 December 2017. We compare the lethality of these cancers using the relative case-fatality ratio.ResultsOverall cancer incidence and mortality were slightly lower than expected from national rates with SIR 82 (95% CI 63 to 104) and SMR 72 (95% CI 44 to 111) with a modest 14% reduction in case-fatality ratio. Prostate cancer and melanoma skin cancer had significant increases in incidence, with SIR of 162 (95% CI 109 to 232) and 252 (95% CI 126 to 452), respectively, though only melanoma had a significant increase in mortality, with SMR 508 (95% CI 105 to 1485). Lung cancer had a significant deficit of both cases and deaths, while colon cancer had sizeable (but not significant) reductions in incidence and mortality.ConclusionsThe increase in incidence of melanoma is consistent with that observed in aircraft pilots, suggesting this may be associated with ultraviolet radiation or lifestyle factors rather than any astronaut-specific exposure. Reductions in lung cancer incidence and mortality, and trends towards such reductions in colon cancer, may be explained in part by healthy lifestyle, as well as differential screening among astronauts.

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.

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