Cancer fatalism is the belief that cancer is uncontrollable and lethal. Individuals with less education are more likely to hold fatalistic beliefs about cancer, but the mechanism accounting for the relationship is unknown. We tested whether negative health information seeking experiences explain this relationship. Structural equation modeling was used to test this relationship across three datasets from the Health Information National Trends Survey. Across all datasets, the model showed good fit: Cycle 1 (coefficient of determination = .11, comparative fit index = .96, root mean square error of approximation = .047), Cycle 2 (coefficient of determination = .06, comparative fit index = .96, root mean square error of approximation = .046), and Cycle 3 (coefficient of determination = .08, comparative fit index = .95, root mean square error of approximation = .052). The link between lower education level and higher cancer fatalism was partially mediated by negative health information seeking experiences.
AnkerAEReinhartAMFeeleyTH (2011) Health information seeking: A review of measures and methods. Patient Education and Counseling82(3): 346–354.
2.
AroraNKHesseBWRimerBK. (2008) Frustrated and confused: The American public rates its cancer-related information-seeking experiences. Journal of General Internal Medicine23(3): 223–228.
3.
BeekenRJSimonAEVon WagnerC. (2011) Cancer fatalism: Deterring early presentation and increasing social inequalities?Cancer Epidemiology, Biomarkers & Prevention20(10): 2127–2131.
4.
BrashersDE (2001) Communication and uncertainty management. Journal of Communication51(3): 477–497.
5.
CohenM (2013) Cancer fatalism: Attitudes toward screening and care. In: CarrBISteelJ (eds) Psychological Aspects of Cancer. New York: Springer, pp. 83–99.
6.
ConsedineNSMagaiCSpillerR. (2004) Breast cancer knowledge and beliefs in subpopulations of African American and Caribbean women. American Journal of Health Behavior28(3): 260–271.
7.
CzajaRManfrediCPriceJ (2003) The determinants and consequences of information seeking among cancer patients. Journal of Health Communication8(6): 529–562.
8.
DillmanDA (2000) Mail and Internet Surveys: The Tailored Design Method, vol. 2. New York: John Wiley & Sons.
9.
DobiasKSMoyerCAMcAchranSE. (2001) Mammography messages in popular media: Implications for patient expectations and shared clinical decision-making. Health Expectations4(2): 131–139.
10.
EchtKVBurridgeAB (2011) Predictors of reported Internet use in older adults with high and low health literacy: The role of socio-demographics and visual and cognitive function. Physical & Occupational Therapy in Geriatrics29(1): 23–43.
11.
FacioneNCMiaskowskiCDoddMJ. (2002) The self-reported likelihood of patient delay in breast cancer: New thoughts for early detection. Preventive Medicine34(4): 397–407.
12.
FreemanHP (1989) Cancer in the socioeconomically disadvantaged. CA: A Cancer Journal for Clinicians39(5): 266–288.
13.
FrischALCameriniLDivianiN. (2012) Defining and measuring health literacy: How can we profit from other literacy domains?Health Promotion International27(1): 117–126.
14.
HanPKKobrinSCKleinKM. (2007) Perceived ambiguity about screening mammography recommendations: Association with future mammography uptake and perceptions. Cancer Epidemiology, Biomarkers & Prevention16(3): 458–466.
15.
HanPKMoserRPKleinWM (2007) Perceived ambiguity about cancer prevention recommendations: Associations with cancer-related perceptions and behaviors in a US population survey. Health Expectations10: 321–336.
16.
Health Information National Trends Survey (HINTS) (2012) National Cancer Institute. Available at: http://hints.cancer.gov
17.
HelftPR (2008) A new age for cancer information seeking: Are we better off now?Journal of General Internal Medicine23(3): 350–352.
HudsonJDanishSJ (1980) The acquisition of information: An important life skill. The Personnel and Guidance Journal59(3): 164–167.
20.
JensenJDCarcioppoloNKingAJ. (2014) The cancer information overload (CIO)scale: Establishing predictive and discriminant validity. Patient Education and Counseling94(1): 90–96.
21.
JohnsonJD (1997) Cancer-Related Information Seeking. New York: Hampton Press.
22.
KempfAMRemingtonPL (2007) New challenges for telephone survey research in the twenty-first century. Annual Review of Public Health28: 113–126.
23.
LongoDRSchubertSLWrightBA. (2010) Health information seeking, receipt, and use in diabetes self-management. Annals of Family Medicine8(4): 334–340.
24.
MacCallumRCBrowneMWSugawaraHM (1996) Power analysis and determination of sample size for covariance structure modeling. Psychological Methods1(2): 130.
25.
MayoRMUredaJRParkerVG (2001) Importance of fatalism in understanding mammography screening in rural elderly women. Journal of Women & Aging13(1): 57–72.
26.
MilesAVoorwindenSChapmanS. (2008) Psychologic predictors of cancer information avoidance among older adults: The role of cancer fear and fatalism. Cancer Epidemiology, Biomarkers & Prevention17(8): 1872–1879.
27.
NakashimaMKurokiSShinkodaH. (2012) Information-seeking experiences and decision-making roles of Japanese women with breast cancer. Fukuoka Igaku Zasshi103(6): 120–130.
28.
NiederdeppeJLevyAG (2007) Fatalistic beliefs about cancer prevention and three prevention behaviors. Cancer Epidemiology, Biomarkers & Prevention16(5): 998–1003.
29.
NiederdeppeJHornikRCKellyBJ. (2007) Examining the dimensions of cancer-related information seeking and scanning behavior. Health Communication22: 53–167.
30.
Nielsen-BohlmanLPanzerAKindigD (2004) Committee on Health Literacy: Health literacy: A Prescription to End Confusion. Washington, DC: National Academies Press.
31.
Paasche-OrlowMKParkerRMGazmararianJA. (2005) The prevalence of limited health literacy. Journal of General Internal Medicine20(2): 175–184.
32.
PoweBD (1995) Fatalism among elderly African Americans: Effects on colorectal screening. Cancer Nursing18: 385–392.
33.
PoweBD (1996) Cancer fatalism among African-Americans: A review of the literature. Nursing Outlook44(1): 18–21.
34.
PoweBDFinnieR (2003) Cancer fatalism: The state of the science. Cancer Nursing26(6): 454–467.
35.
PoweBDWeinrichS (1999) An intervention to decrease cancer fatalism among rural elders. Oncology Nursing Forum26(3): 583–588.
36.
ReesCBathP (2001) Information-seeking behaviors of women with breast cancer. Oncology Nursing Forum28: 691–698.
37.
SchmidtC (2007) Fatalismmayfuel cancer-causing behaviors. Journal of the National Cancer Institute99(16): 1222–1223.
38.
ShenLConditCMWrightL (2009) The psychometric property and validation of a fatalism scale. Psychology and Health24(5): 597–613.
39.
SobelME (1987) Direct and indirect effects in linear structural equation models. Sociological Methods & Research16(1): 155–176.
40.
Stata Statistical Software (2013) Stata Statistical Software (Version 13). College Station, TX: StataCorp LP.
41.
StraughanPTSeowA (1998) Fatalism reconceptualized: A concept to predict health screening behavior. Journal of Gender, Culture and Health3(2): 85–100.
42.
Van der MolenB (1999) Relating information needs to the cancer experience: Information as a key coping strategy. European Journal of Cancer Care8(4): 238–244.
43.
ViswanathKAckersonLK (2011) Race, ethnicity, language, social class, and health communication inequalities: A nationally-representative cross-sectional study. PLoS ONE6(1): 1–8.
44.
ViswanathKMcCloudRMinskyS. (2013) Internet use, browsing, and the urban poor: Implications for cancer control. Journal of the National Cancer Institute: Monographs47: 199–205.
45.
Von WagnerCGoodAWhitakerK. (2011) Psychosocial determinants of socioeconomic inequalities in cancer screening participation: A conceptual framework. Epidemiologic Reviews33(1): 135–147.
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