Geographic variation and association of risk factors with incidence of colorectal cancer at small-area level.
Purpose: Examining spatial distribution of colorectal cancer (CRC) incidence or mortality is helpful for developing cancer control and prevention programs or for generating hypotheses. Such an investigation involves describing the spatial variation of risk factors for CRC and identifying hotspots. T...
| Publicado en: | Cancer Causes & Control Vol. 33; no. 9; pp. 1155 - 1161 |
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| Autor principal: | |
| Formato: | Journal Article |
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Springer Nature
Sep2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158429360&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158429360 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09575243 ODX jtl: Cancer Causes & Control issn: 09575243 maglogo: N pubinfo: dt: Sep2022 vid: 33 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 158429360 158113696 158429360 NLM35870048 10.1007/s10552-022-01607-5 NLM35870048 158429360 ppf: 1155 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Geographic variation and association of risk factors with incidence of colorectal cancer at small-area level. aug: au: Dagne, Getachew A. affil: College of Public Health, University of South Florida, Tampa, USA sug: ab: Purpose: Examining spatial distribution of colorectal cancer (CRC) incidence or mortality is helpful for developing cancer control and prevention programs or for generating hypotheses. Such an investigation involves describing the spatial variation of risk factors for CRC and identifying hotspots. The aim of this study is to identify county-level risk factors that may be associated with the incidence of CRC and to map hotspots for CRC in Florida.Methods: County-level CRC cases, recorded in 2018, were obtained from the Florida Department of Health, Division of Public Health Statistics & Performance Management (DPHSM). Data on county-level risk factors were also obtained from the same source. We used Bayesian spatial models for relative incidence rates and produced posterior predictive that indicates excess risk (hotspots) for CRC.Results: The county-level unadjusted incidence rates range from .462 to 3.142. After fitting a Bayesian spatial model to the data, the results show that a decreasing risk of CRC is strongly associated with an increasing median income, higher percentage of Black population, and higher percentage of sedentary life at county level. Using exceedance probability, it is also observed that there are clustering and hotspots of high CRC incidence rates in Charlotte County in South Florida, Hernando, Sumter and Seminole counties in central Florida and Union and Washington counties in north Florida.Conclusion: Among few county-level variables that significantly explained the spatial variation of CRC, income disparity may need more attention for resource allocation and developing preventive intervention in high-risk areas for CRC. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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