scholarly journals Air pollution is linked to higher cancer rates among black or impoverished communities in Louisiana

2022 ◽  
Vol 17 (1) ◽  
pp. 014033
Author(s):  
Kimberly A Terrell ◽  
Gianna St Julien

Abstract Despite longstanding concerns about environmental injustice in Louisiana’s industrialized communities, including the area known as Cancer Alley, there is a lack of environmental health research in this state. This research gap has direct consequences for residents of industrialized neighborhoods because state regulators have cited a lack of evidence for adverse health outcomes when making industrial permitting decisions. We investigated how cancer incidence relates to cancer risk from toxic air pollution, race, poverty, and occupation across Louisiana census tracts, while controlling for parish-level smoking and obesity rates, using linear regression and Akaike information criterion model selection. We used the most recent cancer data from the Louisiana Tumor Registry (2008–2017), estimates of race, poverty, and occupation from the US Census Bureau’s American Community Survey (2011–2015), and estimated cancer risk due to point sources from the US Environmental Protection Agency’s 2005 National Air Toxics Assessment (accounting for cancer latency). Because race and poverty were strongly correlated (r = 0.69, P < 0.0001), we included them in separate, analogous models. Results indicated that higher estimated cancer risk from air toxics was associated with higher cancer incidence through an interaction with poverty or race. Further analysis revealed that the tracts with the highest (i.e. top quartile) proportions of impoverished residents (or Black residents) were driving the association between toxic air pollution and cancer incidence. These findings may be explained by well-established disparities that result in greater exposure/susceptibility to air toxics in Black or impoverished neighborhoods. Regardless, our analysis provides evidence of a statewide link between cancer rates and carcinogenic air pollution in marginalized communities and suggests that toxic air pollution is a contributing factor to Louisiana’s cancer burden. These findings are consistent with the firsthand knowledge of Louisiana residents from predominantly Black, impoverished, and industrialized neighborhoods who have long maintained that their communities are overburdened with cancer.

Author(s):  
Lan Hu ◽  
Daniel Griffith ◽  
Yongwan Chun

The geographic distribution of lung cancer rates tends to vary across a geographic landscape, and covariates (e.g., smoking rates, demographic factors, socio-economic indicators) commonly are employed in spatial analysis to explain the spatial heterogeneity of these cancer rates. However, such cancer risk factors often are not available, and conventional statistical models are unable to fully capture hidden spatial effects in cancer rates. Introducing random effects in the model specifications can furnish an efficient approach to account for variations that are unexplained due to omitted variables. Especially, a random effects model can be effective for a phenomenon that is static over time. The goal of this paper is to investigate geographic variation in Florida lung cancer incidence data for the time period 2000–2011 using random effects models. In doing so, a Moran eigenvector spatial filtering technique is utilized, which can allow a decomposition of random effects into spatially structured (SSRE) and spatially unstructured (SURE) components. Analysis results confirm that random effects models capture a substantial amount of variation in the cancer data. Furthermore, the results suggest that spatial pattern in the cancer data displays a mixture of positive and negative spatial autocorrelation, although the global map pattern of the random effects term may appear random.


2020 ◽  
Author(s):  
Kevin Foote ◽  
Karl Kingsley

BACKGROUND Reviews of national and state-specific cancer registries have revealed differences in rates of oral cancer incidence and mortality that have implications for public health research and policy. Many significant associations between head and neck (oral) cancers and major risk factors, such as cigarette usage, may be influenced by public health policy such as smoking restrictions and bans – including the Nevada Clean Indoor Act of 2006 (and subsequent modification in 2011). OBJECTIVE Although evaluation of general and regional advances in public policy have been previously evaluated, no recent studies have focused specifically on the changes to the epidemiology of oral cancer incidence and mortality in Nevada. METHODS Cancer incidence and mortality rate data were obtained from the National Cancer Institute (NCI) Division of Cancer Control and Population Sciences (DCCPS) Surveillance, Epidemiology and End Results (SEER) program. Most recently available rate changes in cancer incidence and mortality for Nevada included the years 2012 – 2016 and are age-adjusted to the year 2000 standard US population. Comparisons of any differences between Nevada and the overall US population were evaluated using Chi square analysis. RESULTS This analysis revealed that the overall rates of incidence and mortality from oral cancer in Nevada differs from that observed in the overall US population. For example, although the incidence of oral cancer among Caucasians is increasing in Nevada and the US overall, it is increasing at nearly twice that rate in Nevada, P=0.0002. In addition, although oral cancer incidence among Minorities in the US is declining, it is increasing in Nevada , P=0.0001. Analysis of reported mortality causes revealed that mortality from oral cancer increased in the US overall but declined in Nevada during the same period (2012-2016). More specifically, mortality among both Males and Females in the US is increasing, but is declining in Nevada, P=0.0027. CONCLUSIONS Analysis of the epidemiologic data from Nevada compared with the overall US revealed significant differences in rates of oral cancer incidence and mortality. More specifically, oral cancer incidence increased in Nevada between 2012-2016 among all groups analyzed (Males, Females, White, Minority), while decreases were observed nationally among Females and Minorities. Although mortality in Nevada decreased over this same time period (in contrast to the national trends), the lag time between diagnosis (incidence) and mortality suggests that these trends will change in the near future. CLINICALTRIAL Not applicable


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zahra Khorrami ◽  
Mohsen Pourkhosravani ◽  
Maysam Rezapour ◽  
Koorosh Etemad ◽  
Seyed Mahmood Taghavi-Shahri ◽  
...  

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.


Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3873
Author(s):  
Liang Hu ◽  
Andrew Harper ◽  
Emily Heer ◽  
Jessica McNeil ◽  
Chao Cao ◽  
...  

We investigated the association of social jetlag (misalignment between the internal clock and socially required timing of activities) and prostate cancer incidence in a prospective cohort in Alberta, Canada. Data were collected from 7455 cancer-free men aged 35–69 years enrolled in Alberta’s Tomorrow Project (ATP) from 2001–2007. In the 2008 survey, participants reported usual bed- and wake-times on weekdays and weekend days. Social jetlag was defined as the absolute difference in waking time between weekday and weekend days, and was categorized into three groups: 0–<1 h (from 0 to anything smaller than 1), 1–<2 h (from 1 to anything smaller than 2), and 2+ h. ATP facilitated data linkage with the Alberta Cancer Registry in June 2018 to determine incident prostate cancer cases (n = 250). Hazard ratios (HR) were estimated using Cox proportional hazards regressions, adjusting for a range of covariates. Median follow-up was 9.57 years, yielding 68,499 person-years. Baseline presence of social jetlag of 1–<2 h (HR = 1.52, 95% CI: 1.10 to 2.01), and 2+ hours (HR = 1.69, 95% CI: 1.15 to 2.46) were associated with increased prostate cancer risk vs. those reporting no social jetlag (p for trend = 0.004). These associations remained after adjusting for sleep duration (p for trend = 0.006). With respect to chronotype, the association between social jetlag and prostate cancer risk remained significant in men with early chronotypes (p for trend = 0.003) but attenuated to null in men with intermediate (p for trend = 0.150) or late chronotype (p for trend = 0.381). Our findings suggest that greater than one hour of habitual social jetlag is associated with an increased risk of prostate cancer. Longitudinal studies with repeated measures of social jetlag and large samples with sufficient advanced prostate cancer cases are needed to confirm these findings.


Cancer ◽  
2021 ◽  
Author(s):  
Piers D. Mitchell ◽  
Jenna M. Dittmar ◽  
Bram Mulder ◽  
Sarah Inskip ◽  
Alastair Littlewood ◽  
...  

Author(s):  
Qiwei Yu ◽  
Liqiang Zhang ◽  
Kun Hou ◽  
Jingwen Li ◽  
Suhong Liu ◽  
...  

Exposure to air pollution has been suggested to be associated with an increased risk of women’s health disorders. However, it remains unknown to what extent changes in ambient air pollution affect gynecological cancer. In our case–control study, the logistic regression model was combined with the restricted cubic spline to examine the association of short-term exposure to air pollution with gynecological cancer events using the clinical data of 35,989 women in Beijing from December 2008 to December 2017. We assessed the women’s exposure to air pollutants using the monitor located nearest to each woman’s residence and working places, adjusting for age, occupation, ambient temperature, and ambient humidity. The adjusted odds ratios (ORs) were examined to evaluate gynecologic cancer risk in six time windows (Phase 1–Phase 6) of women’s exposure to air pollutants (PM2.5, CO, O3, and SO2) and the highest ORs were found in Phase 4 (240 days). Then, the higher adjusted ORs were found associated with the increased concentrations of each pollutant (PM2.5, CO, O3, and SO2) in Phase 4. For instance, the adjusted OR of gynecological cancer risk for a 1.0-mg m−3 increase in CO exposures was 1.010 (95% CI: 0.881–1.139) below 0.8 mg m−3, 1.032 (95% CI: 0.871–1.194) at 0.8–1.0 mg m−3, 1.059 (95% CI: 0.973–1.145) at 1.0–1.4 mg m−3, and 1.120 (95% CI: 0.993–1.246) above 1.4 mg m−3. The ORs calculated in different air pollution levels accessed us to identify the nonlinear association between women’s exposure to air pollutants (PM2.5, CO, O3, and SO2) and the gynecological cancer risk. This study supports that the gynecologic risks associated with air pollution should be considered in improved public health preventive measures and policymaking to minimize the dangerous effects of air pollution.


Author(s):  
Rina So ◽  
Jie Chen ◽  
Amar J. Mehta ◽  
Shuo Liu ◽  
Maciej Strak ◽  
...  

2021 ◽  
pp. 000-000
Author(s):  
Mary Evans ◽  
Karen Palmer ◽  
Joseph Aldy ◽  
Meredith Fowlie ◽  
Matthew Kotchen ◽  
...  

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