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Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers

INTRODUCTION: Nearly half of all cancer deaths in the US are attributed to 4 common cancers: lung, colorectal, breast, and prostate. Illinois residents experience higher rates of cancer death from all 4 cancers compared with the US overall. We developed the Illinois Cancer Risk Index (ICRI), which i...

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Autores principales: Guo, Lei, Wright, Margaret E., Osias, Meredith C., Vaezi, Mahdi, Hughes, M. Courtney
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673961/
https://www.ncbi.nlm.nih.gov/pubmed/36395001
http://dx.doi.org/10.5888/pcd19.220104
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author Guo, Lei
Wright, Margaret E.
Osias, Meredith C.
Vaezi, Mahdi
Hughes, M. Courtney
author_facet Guo, Lei
Wright, Margaret E.
Osias, Meredith C.
Vaezi, Mahdi
Hughes, M. Courtney
author_sort Guo, Lei
collection PubMed
description INTRODUCTION: Nearly half of all cancer deaths in the US are attributed to 4 common cancers: lung, colorectal, breast, and prostate. Illinois residents experience higher rates of cancer death from all 4 cancers compared with the US overall. We developed the Illinois Cancer Risk Index (ICRI), which incorporates many predictors of these cancers into a single summary measure, to identify Illinois counties that would benefit most from public health intervention. METHODS: We identified 90 county-level predictors of 4 common cancers, used multicollinearity testing to reduce this number to 61, and applied factor analysis to extract and analyze 4 factors representing 25 variables. Next, we created the ICRI by regressing the 4 factors on our outcome of interest — an age-adjusted common cancers mortality rate (CCMR), incorporating the direction of the β-coefficients from regression models to sum factor scores. Finally, we mapped and assessed the geographic distributions of both ICRI and CCMR by county across the state. RESULTS: The ICRI was positively associated with the CCMR (r = 0.59, P < .001) and explained 32.2% of the variance in the CCMR across Illinois. The ICRI showed distinct geospatial patterns across the state, with the highest risk counties located in the east–central, far northern, and southern regions. The CCMR showed similar geospatial patterns. CONCLUSION: Our study identifies counties in Illinois that may benefit most from interventions that target multiple cancer risk factors simultaneously. The ICRI may be adapted for use in other geographic locations where data are available.
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spelling pubmed-96739612022-11-29 Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers Guo, Lei Wright, Margaret E. Osias, Meredith C. Vaezi, Mahdi Hughes, M. Courtney Prev Chronic Dis Original Research INTRODUCTION: Nearly half of all cancer deaths in the US are attributed to 4 common cancers: lung, colorectal, breast, and prostate. Illinois residents experience higher rates of cancer death from all 4 cancers compared with the US overall. We developed the Illinois Cancer Risk Index (ICRI), which incorporates many predictors of these cancers into a single summary measure, to identify Illinois counties that would benefit most from public health intervention. METHODS: We identified 90 county-level predictors of 4 common cancers, used multicollinearity testing to reduce this number to 61, and applied factor analysis to extract and analyze 4 factors representing 25 variables. Next, we created the ICRI by regressing the 4 factors on our outcome of interest — an age-adjusted common cancers mortality rate (CCMR), incorporating the direction of the β-coefficients from regression models to sum factor scores. Finally, we mapped and assessed the geographic distributions of both ICRI and CCMR by county across the state. RESULTS: The ICRI was positively associated with the CCMR (r = 0.59, P < .001) and explained 32.2% of the variance in the CCMR across Illinois. The ICRI showed distinct geospatial patterns across the state, with the highest risk counties located in the east–central, far northern, and southern regions. The CCMR showed similar geospatial patterns. CONCLUSION: Our study identifies counties in Illinois that may benefit most from interventions that target multiple cancer risk factors simultaneously. The ICRI may be adapted for use in other geographic locations where data are available. Centers for Disease Control and Prevention 2022-11-17 /pmc/articles/PMC9673961/ /pubmed/36395001 http://dx.doi.org/10.5888/pcd19.220104 Text en https://creativecommons.org/licenses/by/4.0/Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Guo, Lei
Wright, Margaret E.
Osias, Meredith C.
Vaezi, Mahdi
Hughes, M. Courtney
Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
title Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
title_full Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
title_fullStr Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
title_full_unstemmed Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
title_short Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
title_sort creation and evaluation of the illinois cancer risk index as a predictor of four common cancers
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673961/
https://www.ncbi.nlm.nih.gov/pubmed/36395001
http://dx.doi.org/10.5888/pcd19.220104
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