TY - JOUR
T1 - Examining Rural-Urban Differences in Fatalism and Information Overload
T2 - Data from 12 NCI-Designated Cancer Centers
AU - Jensen, Jakob D.
AU - Shannon, Jackilen
AU - Iachan, Ronaldo
AU - Deng, Yangyang
AU - Kim, Sunny Jung
AU - Demark-Wahnefried, Wendy
AU - Faseru, Babalola
AU - Paskett, Electra D.
AU - Hu, Jinxiang
AU - Vanderpool, Robin C.
AU - Lazovich, De Ann
AU - Mendoza, Jason A.
AU - Shete, Sanjay
AU - Robertson, Linda B.
AU - Balkrishnan, Rajesh
AU - Briant, Katherine J.
AU - Haaland, Benjamin
AU - Haggstrom, David A.
AU - Fuemmeler, Bernard F.
N1 - Funding Information:
J.D. Jensen reports grants from NCI during the conduct of the study. J. Shannon reports grants from NCI during the conduct of the study. R. Iachan reports grants from ICF during the conduct of the study. Y. Deng reports grants from NCI during the conduct of the study. W. Demark-Wahnefried reports grants from NCI during the conduct of the study. B. Faseru reports grants from NIH during the conduct of the study. E.D. Paskett reports grants from Merck Foundation and Pfizer outside the submitted work. R.C. Vanderpool reports grants from NCI during the conduct of the study. D. Lazovich reports grants from NCI/NIH during the conduct of the study. J.A. Mendoza reports grants from NIH during the conduct of the study. K.J. Briant reports grants from NCI/NIH during the conduct of the study. D.A. Haggstrom reports grants from NIH during the conduct of the study. No disclosures were reported by the other authors.
Funding Information:
Research reported in this publication was supported by the NCI of the NIH under award numbers [University of Pittsburgh Medical Center (UPMC): P30CA047904-28S3 to R.L. Ferris; University of Kentucky (UK): 3P30CA177558-04S5 to B.M. Evers; Ohio State University (OSU): P30 CA016058 to E.D. Paskett; Indiana University (IU): P30 CA082709-17S6 to D.A. Haggstrom and S.M. Rawl; University of Utah (UU): P30 CA042014-29S7 to M. Beckerle; Virginia Commonwealth University (VCU): P30 CA016059-30 to B.F. Fuemmeler; University of Virginia (UVA): P30CA044579-27S5 to T.P. Loughran Jr; University of Minnesota (UM): 5P30CA077598 to D. Lazovich; University of Alabama Birmingham (UAB): 3P30CA013148-46S5 to M. Birrer; Oregon Health and Science University (OHSU): 3P30CA069533 to B. Druker/ J. Shannon; University of Kansas Cancer Center (KUCC): P30 CA168524-07S2 to R. Jensen; Fred Hutch/University of Washington (UW) Cancer Center Consortium: P30CA015704-43S4 to D.G. Gilliland and J.A. Mendoza] as part of the Population Health Assessment in Cancer Center Catchment Areas initiative. The content is solely
Funding Information:
This article reports data collected as part of a multiphase effort funded by NCI and implemented by 12 cancer centers. The primary goal of the research was to survey cancer center catchment areas to identify barriers and opportunities to facilitate cancer prevention and screening. Several working groups were also formed to lead projects focused on underserved populations; the current manuscript is a byproduct of the Rural Working Group, which designed and implemented identical measures across all data collection sites with the goal of examining rural–urban differences. Data collection occurred from 2016 to 2020 with four centers—University of Pittsburgh Medical Center (UPMC), University of Kentucky (UK), Ohio State University (OSU), and Indiana University (IU)—and eight centers—University of Utah (UU), Virginia Commonwealth University (VCU), University of Virginia (UVA), University of Minnesota (UM), University of Alabama at Birmingham (UAB), Oregon Health and Science University (OHSU), University of Kansas Cancer Center (KUCC), and the Fred Hutch/University of Washington (UW) Cancer Center Consortium. The surveys were completed by mail, telephone, or online. At each site, protocols were reviewed, approved, and monitored by local institutional review boards.
Publisher Copyright:
© 2022 American Association for Cancer Research.
PY - 2022/2
Y1 - 2022/2
N2 - Background: Rural populations experience a disproportionate cancer burden relative to urban populations. One possibility is that rural populations are more likely to hold counterproductive cancer beliefs such as fatalism and information overload that undermine prevention and screening behaviors. Methods: Between 2016 and 2020, 12 U.S. cancer centers surveyed adults in their service areas using online and in-person survey instruments. Participants (N = 10,362) were designated as rural (n=3,821) or urban (n=6,541). All participants were 18 and older (M = 56.97, SD = 16.55), predominately non-Hispanic White (81%), and female (57%). Participants completed three items measuring cancer fatalism ("It seems like everything causes cancer,""There's not much you can do to lower your chances of getting cancer,"and "When I think about cancer, I automatically think about death") and one item measuring cancer information overload ("There are so many different recommendations about preventing cancer, it's hard to know which ones to follow"). Results: Compared with urban residents, rural residents were more likely to believe that (i) everything causes cancer (OR = 1.29; 95% CI, 1.17-1.43); (ii) prevention is not possible (OR = 1.34; 95% CI, 1.19-1.51); and (iii) there are too many different recommendations about cancer prevention (OR = 1.26; 95% CI, 1.13- 1.41), and cancer is always fatal (OR = 1.21; 95% CI, 1.11-1.33). Conclusions: Compared with their urban counterparts, rural populations exhibited higher levels of cancer fatalism and cancer information overload.
AB - Background: Rural populations experience a disproportionate cancer burden relative to urban populations. One possibility is that rural populations are more likely to hold counterproductive cancer beliefs such as fatalism and information overload that undermine prevention and screening behaviors. Methods: Between 2016 and 2020, 12 U.S. cancer centers surveyed adults in their service areas using online and in-person survey instruments. Participants (N = 10,362) were designated as rural (n=3,821) or urban (n=6,541). All participants were 18 and older (M = 56.97, SD = 16.55), predominately non-Hispanic White (81%), and female (57%). Participants completed three items measuring cancer fatalism ("It seems like everything causes cancer,""There's not much you can do to lower your chances of getting cancer,"and "When I think about cancer, I automatically think about death") and one item measuring cancer information overload ("There are so many different recommendations about preventing cancer, it's hard to know which ones to follow"). Results: Compared with urban residents, rural residents were more likely to believe that (i) everything causes cancer (OR = 1.29; 95% CI, 1.17-1.43); (ii) prevention is not possible (OR = 1.34; 95% CI, 1.19-1.51); and (iii) there are too many different recommendations about cancer prevention (OR = 1.26; 95% CI, 1.13- 1.41), and cancer is always fatal (OR = 1.21; 95% CI, 1.11-1.33). Conclusions: Compared with their urban counterparts, rural populations exhibited higher levels of cancer fatalism and cancer information overload.
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U2 - 10.1158/1055-9965.EPI-21-0355
DO - 10.1158/1055-9965.EPI-21-0355
M3 - Article
C2 - 35091459
AN - SCOPUS:85124180979
SN - 1055-9965
VL - 31
SP - 393
EP - 403
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 2
ER -