Cancer risk from air toxics in relation to neighborhood isolation and sociodemographic characteristics: A spatial analysis of the St. Louis metropolitan area, USA

Ekenga, Christine C.; Yeung, Cheuk Yui; Oka, Masayoshi

doi:10.1016/j.envres.2019.108844

Cited by 15 publications

(8 citation statements)

References 47 publications

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“… 33 This assumption has carried through to modern medicine where biological differences are prioritized over social or environmental factors. Mounting evidence shows that racial/ethnic minority groups are disproportionately exposed to respiratory toxins via air pollution, 34 occupational hazards, 35 and harmful prenatal and childhood exposures, including preterm birth, very low birth weight, in utero smoke exposure, and childhood respiratory illnesses. 15 , 16 , 36 , 24 Social stressors, such as community or family violence, 37 , 38 , 39 and socioeconomic disadvantage 19 have also been linked with worse lung function in early life and are likely interacting with genetic and epigenetic effects.…”

Section: Discussionmentioning

confidence: 99%

“…Socioeconomic and environmental factors were outside the scope of our study but are clearly important variables to examine in future studies. 19 , 35 , 41 , 42 Although our analyses were cross-sectional, and thus cannot address directions of effect, we always used a distinct data set to test the fit of equations developed in an independent data set. Future studies should also use prospective longitudinal data to improve the predictive potential of these equations.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Race-Specific Spirometry Equations Do Not Improve Models of Dyspnea and Quantitative Chest CT Phenotypes

Non¹,

Bailey²,

Bhatt³

et al. 2023

CHEST

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Race-Specific Spirometry Equations Do Not Improve Models of Dyspnea and Quantitative Chest CT Phenotypes

Non¹,

Bailey²,

Bhatt³

et al. 2023

CHEST

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“…Neighborhood poverty, defined as the percentage of families whose income in the past 12 months was below the poverty level [ 16 ], has a significant causal link to health outcomes [ 14 ], and is associated with cancer risk burden [ 17 ], or colon cancer survival [ 18 ]. The potential causes underlying neighborhood poverty include food deserts [ 19 ] and air toxics [ 17 , 20 ]. Further investigation is required to study the relationship between food deserts or air toxics and gastric leiomyosarcoma since approximately 1/5 of our patients lived in high-poverty neighborhoods.…”

Section: Discussionmentioning

confidence: 99%

The Landscape of Primary Gastric Leiomyosarcoma in Texas Population: Analysis of Texas Cancer Registry Data

Wang,

Zreik,

Leng

2023

Cureus

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Introduction Primary gastric leiomyosarcoma is an extremely rare disease. There have been no previous studies regarding gastric leiomyosarcoma in the Texas population. Methods Anonymous data of gastric leiomyosarcoma from the Texas Cancer Registry (TCR) was used. Information collected included the primary tumor site, age at diagnosis, gender, race/ethnicity, diagnosis and treatments, tumor size, lymph node and metastasis status, grade and stage, body weight and height, public health regions and payer, metropolitan status, neighborhood poverty level, smoking status, survival interval, and cause of death for statistical analysis. Result Thirty-three cases from 2003-2019 were selected. Primary gastric leiomyosarcoma was more commonly diagnosed in patients over 50 years of age, females, and individuals of white race. The diagnosis was primarily based on histology, and the disease was typically treated with surgery and chemotherapy. At the time of diagnosis, 45.5% of patients were in the late stage, and 48.5% of patients died from gastric leiomyosarcoma with a mean survival interval of 15.3 months. BMI scores showed a positive correlation with survival intervals. Surveillance, Epidemiology and End Results (SEER) tumor staging was associated with the prognosis of gastric leiomyosarcoma. Conclusion There were multiple disparities among patients with primary gastric leiomyosarcoma in the Texas population. The SEER summary stage was associated with the prognosis of gastric leiomyosarcoma.

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“…107 An inverse association was also observed between nSES and lung cancer incidence among NHW, Black, and Asian cases. Given the impact of environmental factors (e.g., smoking, 89 air pollution exposure 108 ) on this cancer, it is likely that low nSES correlates with greater exposure to these risk factors, but additional studies are warranted to tease these associations apart.…”

Section: Cancer Incidencementioning

confidence: 99%

Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum

et al. 2022

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Background There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with cancer. Given recent calls for standardized measures of neighborhood sociodemographic effects in cancer disparity research, the objective of this systematic review was to identify and compare existing nSES indices studied across the cancer continuum (incidence, screening, diagnosis, treatment, survival/mortality) and summarize associations by race/ethnicity and cancer site to inform future cancer disparity studies. Methods Using PRISMA guidelines, peer‐reviewed articles published between 2010 and 2019 containing keywords related to nSES and cancer were identified in PubMed. Results Twenty‐four nSES indices were identified from 75 studies. In general, findings indicated a significant association between nSES and cancer outcomes (n = 64/75 studies; 85.33%), with 42/64 (65.63%) adjusting for highly‐correlated individual SES factors (e.g., education). However, the direction of association differed by cancer site, race/ethnicity, and nSES index. Conclusions This review highlights several methodologic and conceptual issues surrounding nSES measurement and potential associations with cancer disparities. Recommendations pertaining to the selection of nSES measures are provided, which may help inform disparity‐related disease processes and improve the identification of vulnerable populations in need of intervention.

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Cancer risk from air toxics in relation to neighborhood isolation and sociodemographic characteristics: A spatial analysis of the St. Louis metropolitan area, USA

Cited by 15 publications

References 47 publications

Race-Specific Spirometry Equations Do Not Improve Models of Dyspnea and Quantitative Chest CT Phenotypes

Race-Specific Spirometry Equations Do Not Improve Models of Dyspnea and Quantitative Chest CT Phenotypes

The Landscape of Primary Gastric Leiomyosarcoma in Texas Population: Analysis of Texas Cancer Registry Data

Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum

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