Literature DB >> 19780915

Rurality and other determinants of early colorectal cancer diagnosis in Nebraska: a 6-year cancer registry study, 1998-2003.

Jayashri Sankaranarayanan1, Shinobu Watanabe-Galloway, Junfeng Sun, Fang Qiu, Eugene Boilesen, Alan G Thorson.   

Abstract

BACKGROUND: There are no studies of rurality, and other determinants of colorectal cancer (CRC) stage at diagnosis with population-based data from the Midwest.
METHODS: This retrospective study identified, incident CRC patients, aged 19 years and older, from 1998-2003 Nebraska Cancer Registry (NCR) data. Using federal Office of Management and Budget classifications, we grouped patients by residence in metropolitan, micropolitan nonmetropolitan, or rural nonmetropolitan counties (non-core based statistical areas). In univariate and multivariate logistic regression analyses, we examined the association of the county classification and of other determinants with early (in situ/local) versus late (regional/distant) stage at CRC diagnosis.
RESULTS: Of the 6,561 CRC patients identified, 45% were from metropolitan counties, 24% from micropolitan nonmetropolitan counties and 31% from rural nonmetropolitan counties, with 32%, 38%, and 33%, respectively, being diagnosed at an early stage. Multivariate analysis showed micropolitan nonmetropolitan residents were significantly more likely than rural nonmetropolitan residents to be diagnosed at an early stage (adjusted OR, 1.22; 95% CI: 1.05-1.42, P < .05). However, rural nonmetropolitan and metropolitan residents did not significantly differ in the likelihood of early diagnosis. Residents with Medicare rather than those with private insurance (P < .0001), married rather than unmarried residents (P < .01), and residents with rectal cancer rather than those with colon cancer (P < .0001) were more likely to be diagnosed at an early stage.
CONCLUSIONS: Early CRC diagnosis needs to be increased in rural (non-core) non-metropolitan residents, unmarried residents, and those with private insurance.

Entities:  

Mesh:

Year:  2009        PMID: 19780915     DOI: 10.1111/j.1748-0361.2009.00244.x

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  11 in total

1.  Does patient rurality predict quality colon cancer care?: A population-based study.

Authors:  Christopher J Chow; Waddah B Al-Refaie; Anasooya Abraham; Abraham Markin; Wei Zhong; David A Rothenberger; Mary R Kwaan; Elizabeth B Habermann
Journal:  Dis Colon Rectum       Date:  2015-04       Impact factor: 4.585

2.  The Outcome of Unscreened Population in Colorectal Cancer: The Impact of Sex and Other Determinants on Cancer Stage.

Authors:  Mesnad Alyabsi; Fouad Sabatin; Abdul Rahman Jazieh
Journal:  Cancer Manag Res       Date:  2020-12-01       Impact factor: 3.989

3.  Geographic residency status and census tract socioeconomic status as determinants of colorectal cancer outcomes.

Authors:  Robert Hines; Talar Markossian; Asal Johnson; Frank Dong; Rana Bayakly
Journal:  Am J Public Health       Date:  2014-01-16       Impact factor: 9.308

Review 4.  Rural residence and cancer outcomes in the United States: issues and challenges.

Authors:  Ashley Meilleur; S V Subramanian; Jesse J Plascak; James L Fisher; Electra D Paskett; Elizabeth B Lamont
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10       Impact factor: 4.254

5.  Temporal Trends in Geographic and Sociodemographic Disparities in Colorectal Cancer Among Medicare Patients, 1973-2010.

Authors:  Peter S Liang; Jonathan D Mayer; Jon Wakefield; Cynthia W Ko
Journal:  J Rural Health       Date:  2016-08-31       Impact factor: 4.333

6.  Determinants of delayed detection of cancers in Texas counties in the United States of America.

Authors:  Gordon Gong; Eric Belasco; Kristopher A Hargrave; Conrad P Lyford; Billy U Philips
Journal:  Int J Equity Health       Date:  2012-05-29

7.  Geographic remoteness and risk of advanced colorectal cancer at diagnosis in Queensland: a multilevel study.

Authors:  P D Baade; P Dasgupta; J Aitken; G Turrell
Journal:  Br J Cancer       Date:  2011-09-06       Impact factor: 7.640

8.  Which indicators of early cancer diagnosis from population-based data sources are associated with short-term mortality and survival?

Authors:  Patrick Muller; Sarah Walters; Michel P Coleman; Laura Woods
Journal:  Cancer Epidemiol       Date:  2018-07-25       Impact factor: 2.984

9.  Continuous Rural-Urban Coding for Cancer Disparity Studies: Is It Appropriate for Statistical Analysis?

Authors:  Lusine Yaghjyan; Christopher R Cogle; Guangran Deng; Jue Yang; Pauline Jackson; Nancy Hardt; Jaclyn Hall; Liang Mao
Journal:  Int J Environ Res Public Health       Date:  2019-03-26       Impact factor: 3.390

10.  Continuing Challenges in Rural Health in the United States.

Authors:  Steven S Coughlin; Catherine Clary; J Aaron Johnson; Adam Berman; Vahe Heboyan; Teal Benevides; Justin Moore; Varghese George
Journal:  J Environ Health Sci       Date:  2019-12-16       Impact factor: 3.433

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.