Literature DB >> 18613122

The impact of socioeconomic status on survival after cancer in the United States : findings from the National Program of Cancer Registries Patterns of Care Study.

Tim E Byers1, Holly J Wolf, Katrina R Bauer, Susan Bolick-Aldrich, Vivien W Chen, Jack L Finch, John P Fulton, Maria J Schymura, Tiefu Shen, Scott Van Heest, Xiang Yin.   

Abstract

BACKGROUND: Understanding the ways in which socioeconomic status (SES) affects mortality is important for defining strategies to eliminate the unequal burden of cancer by race and ethnicity in the United States.
METHODS: Disease stage, treatment, and 5-year mortality rates were ascertained by reviewing medical records, and SES was determined by analyzing income and education at the census tract level for 4844 women with breast cancer, 4332 men with prostate cancer, and 4422 men and women with colorectal cancer who were diagnosed in 7 U.S. states in 1997.
RESULTS: Low SES was associated with more advanced disease stage and with less aggressive treatment for all 3 cancers. The hazard ratio (HR) for 5-year all-cause mortality associated with low SES was elevated after a diagnosis of breast cancer when the analysis was adjusted for age (HR, 1.59; 95% confidence interval [CI], 1.35-1.87). Adjustment for mediating factors of race/ethnicity, comorbid conditions, cancer stage, and treatment reduced the association. The age-adjusted mortality risk associated with low SES was elevated after a diagnosis of prostate cancer (HR, 1.33; 95% CI, 1.13-1.57), and multivariate adjustments for mediating factors also reduced that association. There was less association between SES and mortality after a diagnosis of colorectal cancer. For all 3 cancer sites, low SES was a much stronger predictor of mortality among individuals aged <65 years and among individuals from racial/ethnic minority groups.
CONCLUSIONS: The current results indicated that low SES is a risk factor for all-cause mortality after a diagnosis of cancer, largely because of a later stage at diagnosis and less aggressive treatment. These findings support the need to focus on SES as an underlying factor in cancer disparities by race and ethnicity. (c) 2008 American Cancer Society

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Mesh:

Year:  2008        PMID: 18613122     DOI: 10.1002/cncr.23567

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  182 in total

1.  Development and Evaluation of the Curriculum for BOLD (Bronx Oncology Living Daily) Healthy Living: a Diabetes Prevention and Control Program for Underserved Cancer Survivors.

Authors:  Beth A Conlon; Michelle Kahan; Melissa Martinez; Kathleen Isaac; Amerigo Rossi; Rebecca Skyhart; Judith Wylie-Rosett; Alyson Moadel-Robblee
Journal:  J Cancer Educ       Date:  2015-09       Impact factor: 2.037

2.  Income and long-term breast cancer survival: comparisons of vulnerable urban places in Ontario and California.

Authors:  Kevin M Gorey; Karen Y Fung; Isaac N Luginaah; Eric J Holowaty; Caroline Hamm
Journal:  Breast J       Date:  2010-04-21       Impact factor: 2.431

3.  Cancer control needs of 2-1-1 callers in Missouri, North Carolina, Texas, and Washington.

Authors:  Jason Q Purnell; Matthew W Kreuter; Katherine S Eddens; Kurt M Ribisl; Peggy Hannon; Rebecca S Williams; Maria E Fernandez; David Jobe; Susan Gemmel; Marti Morris; Debbie Fagin
Journal:  J Health Care Poor Underserved       Date:  2012-05

4.  Differences in self-assessed health by socioeconomic group amongst people with and without a history of cancer: an analysis using representative data from Scotland.

Authors:  I M Atherton; J M M Evans; C J L Dibben; L M Woods; G Hubbard
Journal:  J Cancer Surviv       Date:  2012-07-10       Impact factor: 4.442

5.  Spatial patterns of localized-stage prostate cancer incidence among white and black men in the southeastern United States, 1999-2001.

Authors:  Sean F Altekruse; Lan Huang; James E Cucinelli; Timothy S McNeel; Kristen M Wells; M Norman Oliver
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05-25       Impact factor: 4.254

6.  Racial and ethnic disparities in cost-related medication non-adherence among cancer survivors.

Authors:  Minjee Lee; Ramzi G Salloum
Journal:  J Cancer Surviv       Date:  2015-11-30       Impact factor: 4.442

7.  Variations in Guideline-Concordant Breast Cancer Adjuvant Therapy in Rural Georgia.

Authors:  Gery P Guy; Joseph Lipscomb; Theresa W Gillespie; Michael Goodman; Lisa C Richardson; Kevin C Ward
Journal:  Health Serv Res       Date:  2014-12-10       Impact factor: 3.402

8.  Socioeconomic status as a predictor of adherence to treatment guidelines for early-stage ovarian cancer.

Authors:  Melissa Hodeib; Jenny Chang; Fong Liu; Argyrios Ziogas; Sarah Dilley; Leslie M Randall; Hoda Anton-Culver; Robert E Bristow
Journal:  Gynecol Oncol       Date:  2015-04-22       Impact factor: 5.482

9.  White-Black Differences in Cancer Incidence, Stage at Diagnosis, and Survival among Adults Aged 85 Years and Older in the United States.

Authors:  Jessica L Krok-Schoen; James L Fisher; Ryan D Baltic; Electra D Paskett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-15       Impact factor: 4.254

10.  A prospective study of socioeconomic status, prostate cancer screening and incidence among men at high risk for prostate cancer.

Authors:  Andrew Rundle; Kathryn M Neckerman; Daniel Sheehan; Michelle Jankowski; Oleksandr N Kryvenko; Deliang Tang; Benjamin A Rybicki
Journal:  Cancer Causes Control       Date:  2012-12-08       Impact factor: 2.506

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