Impact of Community Disadvantage and Air Pollution Burden on Geographic Disparities of Ovarian Cancer Survival in California

Overview

Journal Environ Res

Publisher Elsevier

Specialty Environmental Health

Date 2017 Apr 11

PMID 28395243

Citations 20

Authors

Veronica M Vieira

Carolina Villanueva

Jenny Chang

Argyrios Ziogas

Robert E Bristow

Affiliations

Soon will be listed here.

Abstract

Ovarian cancer survival varies geographically throughout California. The objective of this study is to determine the impact of living in disadvantaged communities on spatial patterns of survival disparities. Including a bivariate spatial smooth of geographic location within the Cox proportional hazard models is an effective approach for spatial analyses of cancer survival. Women diagnosed with advanced Stage IIIC/IV epithelial ovarian cancer (1996-2006) were identified from the California Cancer Registry. The impact of living in disadvantaged communities, as measured by the California Office of Environmental Health Hazard Assessment cumulative CalEnviroScreen 2.0 score, on geographic disparities in survival was assessed while controlling for age, tumor characteristics, quality of care, and race. Community-level air quality indicators and socioeconomic status (SES) were also independently examined in secondary analyses. The Cox proportional hazard spatial methods are available in the MapGAM package implemented in R. An increase in the community disadvantage from the 5th (less disadvantage) to the 95th percentile (more disadvantage) was significantly associated with poorer ovarian cancer survival (hazard ratio [HR], 1.16; 95% confidence interval [CI], 1.07-1.26). Ozone levels and SES were the most influential indicators on geographic disparities that warrant further investigation. The use of a bivariate smoother of location within the survival model allows for more advanced spatial analyses for exploring potential air quality-related predictors of geographic disparities.

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References

Zeng C, Wen W, Morgans A, Pao W, Shu X, Zheng W . Disparities by Race, Age, and Sex in the Improvement of Survival for Major Cancers: Results From the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) Program in the United States, 1990 to 2010. JAMA Oncol. 2015; 1(1):88-96. PMC: 4523124. DOI: 10.1001/jamaoncol.2014.161. View

Krieger N, Chen J, Waterman P, Rehkopf D, Subramanian S . Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project. Am J Public Health. 2003; 93(10):1655-71. PMC: 1448030. DOI: 10.2105/ajph.93.10.1655. View

Bristow R, Zahurak M, Diaz-Montes T, Giuntoli R, Armstrong D . Impact of surgeon and hospital ovarian cancer surgical case volume on in-hospital mortality and related short-term outcomes. Gynecol Oncol. 2009; 115(3):334-8. DOI: 10.1016/j.ygyno.2009.08.025. View

Eckel S, Cockburn M, Shu Y, Deng H, Lurmann F, Liu L . Air pollution affects lung cancer survival. Thorax. 2016; 71(10):891-8. PMC: 5400105. DOI: 10.1136/thoraxjnl-2015-207927. View

Hung L, Chan T, Wu C, Chiu H, Yang C . Traffic air pollution and risk of death from ovarian cancer in Taiwan: fine particulate matter (PM2.5) as a proxy marker. J Toxicol Environ Health A. 2012; 75(3):174-82. DOI: 10.1080/15287394.2012.641200. View

August L, Faust J, Cushing L, Zeise L, Alexeeff G . Methodological considerations in screening for cumulative environmental health impacts: lessons learned from a pilot study in California. Int J Environ Res Public Health. 2012; 9(9):3069-84. PMC: 3499854. DOI: 10.3390/ijerph9093069. View

Bristow R, Chang J, Ziogas A, Gillen D, Bai L, Vieira V . Spatial analysis of advanced-stage ovarian cancer mortality in California. Am J Obstet Gynecol. 2015; 213(1):43.e1-43.e8. PMC: 4485540. DOI: 10.1016/j.ajog.2015.01.045. View

Moyer V . Screening for ovarian cancer: U.S. Preventive Services Task Force reaffirmation recommendation statement. Ann Intern Med. 2012; 157(12):900-4. DOI: 10.7326/0003-4819-157-11-201212040-00539. View

Bristow R, Palis B, Chi D, Cliby W . The National Cancer Database report on advanced-stage epithelial ovarian cancer: impact of hospital surgical case volume on overall survival and surgical treatment paradigm. Gynecol Oncol. 2010; 118(3):262-7. DOI: 10.1016/j.ygyno.2010.05.025. View

10.

Dehaeck U, McGahan C, Santos J, Carey M, Swenerton K, Kwon J . The impact of geographic variations in treatment on outcomes in ovarian cancer. Int J Gynecol Cancer. 2013; 23(2):282-7. DOI: 10.1097/IGC.0b013e31827b87b1. View

11.

Harlan L, Clegg L, Trimble E . Trends in surgery and chemotherapy for women diagnosed with ovarian cancer in the United States. J Clin Oncol. 2003; 21(18):3488-94. DOI: 10.1200/JCO.2003.01.061. View

12.

Vieira V, Webster T, Weinberg J, Aschengrau A, Ozonoff D . Spatial analysis of lung, colorectal, and breast cancer on Cape Cod: an application of generalized additive models to case-control data. Environ Health. 2005; 4:11. PMC: 1183231. DOI: 10.1186/1476-069X-4-11. View

13.

Terplan M, Schluterman N, McNamara E, Tracy J, Temkin S . Have racial disparities in ovarian cancer increased over time? An analysis of SEER data. Gynecol Oncol. 2011; 125(1):19-24. DOI: 10.1016/j.ygyno.2011.11.025. View

14.

Krieger N, Chen J, Waterman P, Soobader M, Subramanian S, Carson R . Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project. Am J Epidemiol. 2002; 156(5):471-82. DOI: 10.1093/aje/kwf068. View

15.

Yost K, Perkins C, Cohen R, Morris C, Wright W . Socioeconomic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes Control. 2001; 12(8):703-11. DOI: 10.1023/a:1011240019516. View

16.

Fairfield K, Lucas F, Earle C, Small L, Trimble E, Warren J . Regional variation in cancer-directed surgery and mortality among women with epithelial ovarian cancer in the Medicare population. Cancer. 2010; 116(20):4840-8. DOI: 10.1002/cncr.25242. View

17.

Peterson C, Rauscher G, Johnson T, Kirschner C, Freels S, Barrett R . The effect of neighborhood disadvantage on the racial disparity in ovarian cancer-specific survival in a large hospital-based study in cook county, illinois. Front Public Health. 2015; 3:8. PMC: 4302660. DOI: 10.3389/fpubh.2015.00008. View

18.

Jelovac D, Armstrong D . Recent progress in the diagnosis and treatment of ovarian cancer. CA Cancer J Clin. 2011; 61(3):183-203. PMC: 3576854. DOI: 10.3322/caac.20113. View

19.

Bristow R, Powell M, Al-Hammadi N, Chen L, Miller J, Roland P . Disparities in ovarian cancer care quality and survival according to race and socioeconomic status. J Natl Cancer Inst. 2013; 105(11):823-32. PMC: 3691950. DOI: 10.1093/jnci/djt065. View

20.

Brewer K, Peterson C, Davis F, Hoskins K, Pauls H, Joslin C . The influence of neighborhood socioeconomic status and race on survival from ovarian cancer: a population-based analysis of Cook County, Illinois. Ann Epidemiol. 2015; 25(8):556-63. PMC: 4494782. DOI: 10.1016/j.annepidem.2015.03.021. View