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Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis

BACKGROUND: Despite declining colorectal cancer (CRC) incidence and mortality rates in the U.S., significant geographic and racial disparities in CRC death rates remain. Differences in guideline-concordant CRC screening rates may explain some of these disparities. We aim to assess individual and nei...

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Autores principales: Bernardo, Brittany M., Gross, Amy L., Young, Gregory, Baltic, Ryan, Reisinger, Sarah, Blot, William J., Paskett, Electra Diane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018201/
https://www.ncbi.nlm.nih.gov/pubmed/29971216
http://dx.doi.org/10.3389/fonc.2018.00230
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author Bernardo, Brittany M.
Gross, Amy L.
Young, Gregory
Baltic, Ryan
Reisinger, Sarah
Blot, William J.
Paskett, Electra Diane
author_facet Bernardo, Brittany M.
Gross, Amy L.
Young, Gregory
Baltic, Ryan
Reisinger, Sarah
Blot, William J.
Paskett, Electra Diane
author_sort Bernardo, Brittany M.
collection PubMed
description BACKGROUND: Despite declining colorectal cancer (CRC) incidence and mortality rates in the U.S., significant geographic and racial disparities in CRC death rates remain. Differences in guideline-concordant CRC screening rates may explain some of these disparities. We aim to assess individual and neighborhood-level predictors of guideline-concordant CRC screening within two cohorts of individuals located within CRC mortality geographic hotspot regions in the U.S. METHODS: A total of 36,901 participants from the Southern Community Cohort Study and 4,491 participants from the Ohio Appalachia CRC screening study were included in this study. Self-reported date of last CRC screening was used to determine if the participant was within guidelines for screening. Logistic regression models were utilized to determine the association of individual-level predictors, neighborhood deprivation, and residence in hotspot regions on the odds of being within guidelines for CRC screening. RESULTS: Lower household income, lack of health insurance, and being a smoker were each associated with lower odds of being within guidelines for CRC screening in both cohorts. Area-level associations were less evident, although up to 15% lower guideline adherence was associated with residence in neighborhoods of greater deprivation and in the Lower Mississippi Delta, one of the identified CRC mortality hotspots. CONCLUSION: These results reveal the adverse effects of lower area-level and individual socioeconomic status on adherence to CRC guideline screening.
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spelling pubmed-60182012018-07-03 Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis Bernardo, Brittany M. Gross, Amy L. Young, Gregory Baltic, Ryan Reisinger, Sarah Blot, William J. Paskett, Electra Diane Front Oncol Oncology BACKGROUND: Despite declining colorectal cancer (CRC) incidence and mortality rates in the U.S., significant geographic and racial disparities in CRC death rates remain. Differences in guideline-concordant CRC screening rates may explain some of these disparities. We aim to assess individual and neighborhood-level predictors of guideline-concordant CRC screening within two cohorts of individuals located within CRC mortality geographic hotspot regions in the U.S. METHODS: A total of 36,901 participants from the Southern Community Cohort Study and 4,491 participants from the Ohio Appalachia CRC screening study were included in this study. Self-reported date of last CRC screening was used to determine if the participant was within guidelines for screening. Logistic regression models were utilized to determine the association of individual-level predictors, neighborhood deprivation, and residence in hotspot regions on the odds of being within guidelines for CRC screening. RESULTS: Lower household income, lack of health insurance, and being a smoker were each associated with lower odds of being within guidelines for CRC screening in both cohorts. Area-level associations were less evident, although up to 15% lower guideline adherence was associated with residence in neighborhoods of greater deprivation and in the Lower Mississippi Delta, one of the identified CRC mortality hotspots. CONCLUSION: These results reveal the adverse effects of lower area-level and individual socioeconomic status on adherence to CRC guideline screening. Frontiers Media S.A. 2018-06-19 /pmc/articles/PMC6018201/ /pubmed/29971216 http://dx.doi.org/10.3389/fonc.2018.00230 Text en Copyright © 2018 Bernardo, Gross, Young, Baltic, Reisinger, Blot and Paskett. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Bernardo, Brittany M.
Gross, Amy L.
Young, Gregory
Baltic, Ryan
Reisinger, Sarah
Blot, William J.
Paskett, Electra Diane
Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis
title Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis
title_full Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis
title_fullStr Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis
title_full_unstemmed Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis
title_short Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis
title_sort predictors of colorectal cancer screening in two underserved u.s. populations: a parallel analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018201/
https://www.ncbi.nlm.nih.gov/pubmed/29971216
http://dx.doi.org/10.3389/fonc.2018.00230
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