An updated inhalation unit risk factor for arsenic and inorganic arsenic compounds based on a combined analysis of epidemiology studies

Erraguntla, Neeraja; Sielken, Robert L.; Valdez‐Flores, Ciriaco; Grant, Roberta L.

doi:10.1016/j.yrtph.2012.07.001

Cited by 17 publications

(7 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The initial search identified 20 studies for consideration, six of which met the specific study parameters. Four studies were excluded because the exposure media were not drinking water arsenic levels—soil or sediment [ 26 ], toenails [ 27 ], urine [ 28 ], or air [ 29 ]. Three studies were excluded because the drinking water arsenic metric was not expressed as µg/L—cumulative exposure [ 30 ] or well water arsenic level distributions [ 31 , 32 ].…”

Section: Resultsmentioning

confidence: 99%

A Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water

Lamm

Ferdosi

Dissen³

et al. 2015

IJERPH

View full text Add to dashboard Cite

High levels (> 200 µg/L) of inorganic arsenic in drinking water are known to be a cause of human lung cancer, but the evidence at lower levels is uncertain. We have sought the epidemiological studies that have examined the dose-response relationship between arsenic levels in drinking water and the risk of lung cancer over a range that includes both high and low levels of arsenic. Regression analysis, based on six studies identified from an electronic search, examined the relationship between the log of the relative risk and the log of the arsenic exposure over a range of 1–1000 µg/L. The best-fitting continuous meta-regression model was sought and found to be a no-constant linear-quadratic analysis where both the risk and the exposure had been logarithmically transformed. This yielded both a statistically significant positive coefficient for the quadratic term and a statistically significant negative coefficient for the linear term. Sub-analyses by study design yielded results that were similar for both ecological studies and non-ecological studies. Statistically significant X-intercepts consistently found no increased level of risk at approximately 100–150 µg/L arsenic.

show abstract

Section: Resultsmentioning

confidence: 99%

A Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water

Lamm

Ferdosi

Dissen³

et al. 2015

IJERPH

View full text Add to dashboard Cite

show abstract

“…Non‐biologic factors include SES, insurance access, demographic location, and environmental exposures, among others 6,47,54,55 . The latter may be particularly relevant to the Texas/Chihuahua border, a former site of the American Smelting and Refining Company, which has been associated with increased cancer incidence in Washington, Arizona, and Montana 56‐63 . In addition, the Texas/Chihuahua border harbors many large‐scale polluting facilities, thriving freight industries, and an expanding military base 64 .…”

Section: Discussionmentioning

confidence: 99%

Ethnic and border differences on blood cancer presentation and outcomes: A Texas population‐based study

Bencomo‐Alvarez

Gonzalez

Rubio

et al. 2020

Cancer

View full text Add to dashboard Cite

Background The Texas/Chihuahua (US/Mexico) border is a medically underserved region with many reported barriers for health care access. Although Hispanic ethnicity is associated with health disparities for many different diseases, the population‐based estimates of incidence and survival for patients with blood cancer along the border are unknown. The authors hypothesized that Hispanic ethnicity and border proximity is associated with poor blood cancer outcomes. Methods Data from the Texas Cancer Registry (1995‐2016) were used to investigate the primary exposures of patient ethnicity (Hispanic vs non‐Hispanic) and geographic location (border vs non‐border). Other confounders and covariates included sex, age, year of diagnosis, rurality, insurance status, poverty indicators, and comorbidities. The Mantel‐Haenszel method and Cox regression analyses were used to determine adjusted effects of ethnicity and border proximity on the relative risk (RR) and survival of patients with different blood cancer types. Results Hispanic patients were diagnosed at a younger age than non‐Hispanic patients and presented with increased comorbidities. Whereas non‐Hispanics had a higher incidence of developing blood cancer compared with Hispanics overall, Hispanics demonstrated a higher incidence of acute lymphoblastic leukemia (RR, 1.92; 95% CI, 1.79‐2.08; P < .001) with worse outcomes. Hispanics from the Texas/Chihuahua border demonstrated a higher incidence of chronic myeloid leukemia (RR, 1.28; 95% CI, 1.07‐1.51; P = .02) and acute myeloid leukemia (RR, 1.17; 95% CI, 1.04‐1.33; P = .0009) compared with Hispanics living elsewhere in Texas. Conclusions Hispanic ethnicity and border proximity were associated with a poor presentation and an adverse prognosis despite the younger age of diagnosis. Future studies should explore differences in disease biology and treatment strategies that could drive these regional disparities.

show abstract

“…Thus, we assumed that the toxicity of the particles varied between primary (PM 2.5 ) and coarse (PM 2.5–10 ) fractions of the PM, but not between the source or chemical composition. The details on burden of disease calculations, exposure-response functions, equations and data sources are all described in Supplementary Materials Tables S3 and S4 [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ].…”

Section: Methodsmentioning

confidence: 99%

Burden of Mortality and Disease Attributable to Multiple Air Pollutants in Warsaw, Poland

Holnicki

Tainio

Kałuszko

et al. 2017

IJERPH

View full text Add to dashboard Cite

Air pollution is a significant public health issue all over the world, especially in urban areas where a large number of inhabitants are affected. In this study, we quantify the health burden due to local air pollution for Warsaw, Poland. The health impact of the main air pollutants, PM, NOX, SO2, CO, C6H6, BaP and heavy metals is considered. The annual mean concentrations are predicted with the CALPUFF air quality modeling system using the year 2012 emission and meteorological data. The emission field comprises point, mobile and area sources. The exposure to these pollutants was estimated using population data with a spatial resolution of 0.5 × 0.5 km2. Changes in mortality and in disability-adjusted life-years (DALYs) were estimated with relative risk functions obtained from literature. It has been predicted that local emissions cause approximately 1600 attributable deaths and 29,000 DALYs per year. About 80% of the health burden was due to exposure to fine particulate matter (PM2.5). Mobile and area sources contributed 46% and 52% of total DALYs, respectively. When the inflow from outside was included, the burden nearly doubled to 51,000 DALYs. These results indicate that local decisions can potentially reduce associated negative health effects, but a national-level policy is required for reducing the strong environmental impact of PM emissions.

show abstract

An updated inhalation unit risk factor for arsenic and inorganic arsenic compounds based on a combined analysis of epidemiology studies

Cited by 17 publications

References 37 publications

A Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water

A Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water

Ethnic and border differences on blood cancer presentation and outcomes: A Texas population‐based study

Burden of Mortality and Disease Attributable to Multiple Air Pollutants in Warsaw, Poland

Contact Info

Product

Resources

About