Examining Rural–Urban Differences in Fatalism and Information Overload: Data from 12 NCI-Designated Cancer Centers

Author:

Jensen Jakob D.12ORCID,Shannon Jackilen3ORCID,Iachan Ronaldo4,Deng Yangyang4,Kim Sunny Jung5ORCID,Demark-Wahnefried Wendy6ORCID,Faseru Babalola78ORCID,Paskett Electra D.9,Hu Jinxiang810,Vanderpool Robin C.11,Lazovich DeAnn12ORCID,Mendoza Jason A.13,Shete Sanjay14,Robertson Linda B.15ORCID,Balkrishnan Rajesh16ORCID,Briant Katherine J.17ORCID,Haaland Benjamin218,Haggstrom David A.19,Fuemmeler Bernard F.5

Affiliation:

1. 1Department of Communication, University of Utah, Salt Lake City, Utah.

2. 2Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.

3. 3Oregon Health and Science University – Portland State University, School of Public Health, Oregon Health and Science University, Portland, Oregon.

4. 4ICF, Rockville, Maryland.

5. 5Department of Health Behavior and Policy, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.

6. 6Department of Nutrition Sciences and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama.

7. 7Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas.

8. 8University of Kansas Cancer Center, Kansas City, Kansas.

9. 9Department of Internal Medicine, College of Medicine, and OSU Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.

10. 10Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas.

11. 11Department of Health, Behavior and Society and Markey Cancer Center, University of Kentucky, Lexington, Kentucky.

12. 12Division of Epidemiology and Community Health and Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.

13. 13Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington.

14. 14Department of Biostatistics and Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

15. 15School of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.

16. 16Department of Public Health Sciences and UVA Cancer Center, University of Virginia, Charlottesville, Virginia.

17. 17Office of Community Outreach and Engagement, Fred Hutch/University of Washington Cancer Consortium, Seattle, Washington.

18. 18Department of Population Sciences, University of Utah, Salt Lake City, Utah.

19. 19School of Medicine, Indiana University, Indianapolis, Indiana.

Abstract

Abstract 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. Impact: Future interventions targeting rural populations should account for higher levels of fatalism and information overload.

Funder

NIH

Ferris; University of Kentucky

Ohio State University

Indiana University

Haggstrom and S.M. Rawl; University of Utah

Virginia Commonwealth University

University of Virginia

University of Minnesota

University of Alabama Birmingham

Oregon Health and Science University

University of Kansas Cancer Center

Fred Hutch/University of Washington (UW) Cancer Center Consortium

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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