Literature DB >> 35091459

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

Jakob D Jensen1,2, Jackilen Shannon3, Ronaldo Iachan4, Yangyang Deng4, Sunny Jung Kim5, Wendy Demark-Wahnefried6, Babalola Faseru7,8, Electra D Paskett9, Jinxiang Hu8,10, Robin C Vanderpool11, DeAnn Lazovich12, Jason A Mendoza13, Sanjay Shete14, Linda B Robertson15, Rajesh Balkrishnan16, Katherine J Briant17, Benjamin Haaland2,18, David A Haggstrom19, Bernard F Fuemmeler.   

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. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35091459      PMCID: PMC9035270          DOI: 10.1158/1055-9965.EPI-21-0355

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  45 in total

1.  Health care access in rural areas: evidence that hospitalization for ambulatory care-sensitive conditions in the United States may increase with the level of rurality.

Authors:  James N Laditka; Sarah B Laditka; Janice C Probst
Journal:  Health Place       Date:  2009-01-10       Impact factor: 4.078

2.  Geographic disparities in cancer screening and fatalism among a nationally representative sample of US adults.

Authors:  Jennifer L Moss; Rebecca Ehrenkranz; Lilian G Perez; Brionna Y Hair; Anne K Julian
Journal:  J Epidemiol Community Health       Date:  2019-10-14       Impact factor: 3.710

3.  Deconstructing fatalism: ethnographic perspectives on women's decision making about cancer prevention and treatment.

Authors:  Elaine M Drew; Nancy E Schoenberg
Journal:  Med Anthropol Q       Date:  2011-06

4.  Rurality, Rural Identity, and Cancer Control: Evidence from NCI's Population Health Assessment in Cancer Center Catchment Areas Initiative.

Authors:  Kelly D Blake; Robert T Croyle
Journal:  J Rural Health       Date:  2019-03-04       Impact factor: 4.333

5.  Cancer-Related Beliefs and Perceptions in Appalachia: Findings from 3 States.

Authors:  Robin C Vanderpool; Bin Huang; Yangyang Deng; Todd M Bear; Quan Chen; Meghan F Johnson; Electra D Paskett; Linda B Robertson; Gregory S Young; Ronaldo Iachan
Journal:  J Rural Health       Date:  2019-03-04       Impact factor: 4.333

6.  Rural-Urban Differences in Cancer Incidence and Trends in the United States.

Authors:  Whitney E Zahnd; Aimee S James; Wiley D Jenkins; Sonya R Izadi; Amanda J Fogleman; David E Steward; Graham A Colditz; Laurent Brard
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-27       Impact factor: 4.254

Review 7.  Health information overload among health consumers: A scoping review.

Authors:  Israa Khaleel; Barbara C Wimmer; Gregory M Peterson; Syed Tabish Razi Zaidi; Erin Roehrer; Elizabeth Cummings; Kenneth Lee
Journal:  Patient Educ Couns       Date:  2019-08-12

8.  Barriers of colorectal cancer screening in rural USA: a systematic review.

Authors:  Hongmei Wang; Shreya Roy; Jungyoon Kim; Paraskevi A Farazi; Mohammad Siahpush; Dejun Su
Journal:  Rural Remote Health       Date:  2019-08-09       Impact factor: 1.759

9.  Cancer information overload: Discriminant validity and relationship to sun safe behaviors.

Authors:  Jakob D Jensen; Manusheela Pokharel; Nick Carcioppolo; Sean Upshaw; Kevin K John; Rachael A Katz
Journal:  Patient Educ Couns       Date:  2019-08-28

10.  Data Resource Profile: The National Cancer Institute's Health Information National Trends Survey (HINTS).

Authors:  Lila J Finney Rutten; Kelly D Blake; Victoria G Skolnick; Terisa Davis; Richard P Moser; Bradford W Hesse
Journal:  Int J Epidemiol       Date:  2020-02-01       Impact factor: 7.196

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