UNASSIGNED: Exposure misclassification based solely on the address at cancer diagnosis has been widely recognized though not commonly assessed.
UNASSIGNED: We linked 1,015 mesothelioma cases diagnosed during 2011-2015 from the New York State Cancer Registry to inpatient claims and LexisNexis administrative data and constructed residential histories. Percentile ranking of exposure to ambient air toxics and socioeconomic status (SES) were based on the National Air Toxic Assessment and United States Census data, respectively. To facilitate comparisons over time, relative exposures (REs) were calculated by dividing the percentile ranking at individual census tract by the state-level average and subtracting one. We used generalized linear regression models to compare the RE in the past with that at cancer diagnosis, adjusting for patient-level characteristics.
UNASSIGNED: Approximately 43.7% of patients had residential information available for up to 30 years, and 96.0% up to 5 years. The median number of unique places lived was 4 [interquartile range (IQR), 2-6]. The time-weighted-average RE from all addresses available had a median of -0.11 (IQR, -0.50 to 0.30) for air toxics and -0.28 (IQR, -0.65 to 0.25) for SES. RE associated with air toxics (but not SES) was significantly higher for earlier addresses than addresses at cancer diagnosis for the 5-year [annual increase =1.24%; 95% confidence interval (CI): 0.71-1.77%; n=974] and 30-year (annual increase =0.36%; 95% CI: 0.25-0.48%; n=444) look-back windows, respectively.
UNASSIGNED: Environmental exposure to non-asbestos air toxics among mesothelioma patients may be underestimated if based solely on the address at diagnosis. With geospatial data becoming more readily available, incorporating cancer patients\' residential history would lead to reduced exposure misclassification and accurate health risk estimates.

暂无摘要。

OBJECTIVE: Socioeconomic status (SES) is often used to quantify social determinants of health. This study uses the National Cancer Institute SES index to examine the effect of SES on disease-specific survival and 5-year conditional disease-specific survival (CDSS; the change in life expectancy with increasing survivorship) in paranasal sinus cancer.
METHODS: Cross-sectional analysis.
METHODS: National Cancer Institute\'s Surveillance, Epidemiology and End Results (SEER) program.
METHODS: A study of adults with sinus cancer between 1973 and 2015 was performed. The Yost index, a census tract-level composite score of SES, was used to categorize patients. Kaplan-Meier analysis and Cox regression for disease-specific survival were stratified by SES. CDSS was calculated with simplified models. Logistic regression was conducted to identify risk factors for advanced stage at diagnosis, multimodal therapy, and diagnosis of squamous cell carcinoma.
RESULTS: There were 3437 patients analyzed. In Cox models adjusting for patient-specific factors, the lowest SES tertile exhibited worse mortality (hazard ratio, 1.22; 95% CI, 1.07-1.39; P < .01). After addition of treatment and pathology, SES was not significant (P = .07). The lowest SES tertile was more often diagnosed at later stages (odds ratio [OR], 1.52; 95% CI, 1.12-2.06; P < .01). For those with regional/distant disease, the middle tertile (OR, 0.75; 95% CI, 0.63-0.90; P < .01) and lowest tertile (OR, 0.75; 95% CI, 0.62-0.91; P < .01) were less likely to receive multimodal therapy. SES tertiles primarily affected 5-year CDSS for regional/distant disease. CDSS for all stages converged over time.
CONCLUSIONS: Lower SES is associated with worse outcomes in paranasal sinus cancer. Research should be devoted toward understanding factors that contribute to such disparities, including tumor pathology and treatment course.

socioeconomic indexes that capture information about wealth, education, employment, and housing are in wide use in public health. Here we compare the widely used Area Deprivation Index (ADI) to the Yost index. Though they are derived largely from the same data, there are substantial differences between the two. Examination of the geographic areas where the two indexes are most dissimilar suggest that the Yost index has greater face validity and that the ADI is highly sensitive to locations with incomplete census data and with census data containing outliers.

Background: Thyroid adenomas/adenocarcinomas are the most common type of thyroid cancer. The impact of socioeconomic factors on the prognosis of thyroid cancer is unclear. Methods: Clinical information and socioeconomic factors were obtained from the Surveillance, Epidemiology, and End Results Database (SEER) 18 Registries Custom Database. The association between thyroid adenomas/adenocarcinomas and socioeconomic factors including gender, race/ethnicity, insurance status, marital status, living area, and Yost index (including education, income, working, etc.) were fully evaluated. Results: A total of 136,313 patients between 2010 and 2016 were finally included in the present study. Among them, 126,160 patients were diagnosed with the single malignancy. Median follow-up time was 64 months. In general, non-Hispanic Asian or Pacific Islander and Hispanic patients had significantly better survival than non-Hispanic White patients (All P <0.05). Patients insured by Medicaid had significantly poorer cancer-specific survival (CSS, hazard ratio, HR=2.15, P <0.001) and overall survival (OS, HR=2.42, P <0.001) than those insured by commercial insurance or Medicare. In addition, divorced or widowed status, rural living location and low Yost index were significantly associated with poor CSS and OS of thyroid adenomas/adenocarcinomas (All P <0.05). Subgroup analyses showed similar results in patients who received surgical procedure, as well as in patients who received both surgical and radiation therapy. Multivariate analyses suggested that insurance status, marital status and Yost index remained significantly associated with CSS and OS (all P <0.05). Conclusions: Socioeconomic factors, including insurance status, marital status, living area, and Yost index, were significant predictors for the survival of thyroid adenomas/adenocarcinomas.

To examine endometrial cancer survivors\' access to recommended obesity-related self-care resources.
Participants included women treated 2010-2015 for endometrial cancer at an academic medical center who lived in the surrounding 16 ZIP code area on Chicago\'s South Side. Demographic and health data were abstracted from medical records. A socioeconomic status (SES) score (SES-1 = low, SES-5 = high) was generated for each patient using census block group-level data. Self-care resources for exercise, healthy weight, and diet were obtained from a community resource census. Geospatial techniques assessed \"walkable access\" (~½-mile radius around a patient\'s home) to obesity-related resources. Multivariable logistic regression investigated associations between access to obesity-related resources and patient characteristics.
Of 195 endometrial cancer survivors, 81% identified as Black/African American and 34% lived in an SES-1 census block. Two thirds (68%) had Stage I or II endometrial cancer. Nearly two thirds (62%) were obese (BMI ≥ 30 kg/m2). Obesity was inversely associated with SES (p = 0.05). Two thirds of survivors had access to at least one of all three recommended resource types. Access was lower in low SES regions and among Black/African American women. Lower SES was associated with lower odds of walkable access to recommended resources (AOR for access to two of each resource type 0.75, 95%CI 0.59, 0.97; AOR for access to three or more of each 0.44, 95%CI 0.32, 0.61).
Obesity rates were higher and access to recommended resources was lower for Black/African American endometrial cancer survivors living in high poverty areas in Chicago.

Our objective was to evaluate racial treatment and survival disparities in black women with ovarian cancer in the Deep South and to determine how environmental factors / socioeconomic status (SES) influence survival.
A retrospective study of ovarian cancer patients from 2007 to 2014 was performed. Socioeconomic status (SES) was obtained though U.S. Census block data and compared using Yost scores. Comparisons were performed using standard statistical approaches.
A total of 393 patients were evaluated, 325 (83%) white and 68 (17%) black. Demographic information and surgical approach were similar in each racial group. However, compared to whites, black patients had lower rates of optimal debulking [89% vs. 71%, respectively (p=0.001)] and intraperitoneal chemotherapy (19% vs. 11%, p=0.01). Black women had lower SES parameters including education, income, and poverty. As a result, more black patients had the lowest SES (SES-1) when compared to white patients (17% vs. 41%, p<0.001). When controlling for these factors by cox regression analysis, a survival disadvantage was seen in black women for both progression free survival (16 vs. 27months, p=0.003) and overall survival (42 vs. 88months, p<0.001).
Despite controlling for clinical and environmental factors, a survival disadvantage was still observed in black patients with ovarian cancer in the Deep South. Black women had lower optimal debulking rates and more platinum resistant disease. These data suggest other factors like tumor biology may play a role in racial survival differences, however, more research is needed to determine this causation.