Evidence map›Paper›PMID 33151430›Full record

ArticleCancer causes & control : CCC2021

The relationship between cancer fatalism and education.

Kristin G Keller, Adetunji T Toriola, Joanne Kraenzle Schneider

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Trial
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  9. Exploring disparities in healthcare utilization, cancer care experience, and beliefs about cancer among asian and hispanic cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  15. Analysis of the influential factors of the emotional health of patients with cancer based on the structural equation model: the role of social media and emotional support.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kristin G KellerSaint Louis University, Saint Louis, MO, USA. kellerkg@slu.edu.ORCID http://orcid.org/0000-0003-1305-9995
Adetunji T ToriolaWashington University School of Medicine, Saint Louis, MO, USA.
Joanne Kraenzle SchneiderSaint Louis University, Saint Louis, MO, USA.

Funding

RANK PATHWAY AND MAMMOGRAPHIC DENSITY IN MID-LIFE WOMENR21CA216515 · NCI · WASHINGTON UNIVERSITY · PI TORIOLA, ADETUNJI T · 2017 to 2018
$376k
NCI NIH HHS R21 CA216515NCI NIH HHS R21CA216515
6 · The paper itself

Abstract

purposeFatalism is defined by feelings of pessimism, hopelessness, and powerlessness regarding cancer outcomes. Early researchers reported associations between race and cancer fatalism. Yet current evidence suggests that social determinants of health are better predictors of cancer fatalism than race. Therefore, the aim of this study was to examine the association between age, race, education, and cancer fatalism.

methodsThree hundred ninety (n = 390) women who attended a screening mammogram at the Joanne Knight Breast Health Center at Siteman Cancer Center at Washington University School of Medicine (St. Louis, MO) completed the Powe Fatalism Inventory (PFI), a 15-item self-report instrument used to operationalize cancer fatalism. We used Pearson's correlation, independent samples t-tests, one-way ANOVA with post hoc tests, and linear regression to analyze the relationships between PFI total scores and age, race, and education.

resultsThere were no differences between the mean PFI scores for Non-Hispanic Whites (1.89, SD 0.55) and African Americans (2.02, SD 0.76, p = 0.092, 95% CI 0.27 to 0.02). We found significant differences between the mean PFI scores across levels of education. Women who attained a high school degree or less (n = 72) reported higher PFI scores (2.24, SD 0.77) than women who attended some college or post-high school vocational training (n = 111; 1.95, SD 0.61) and women with a college or postgraduate degree (n = 206; 1.83, SD 0.57). When PFI score was regressed onto age, race, and education, only education significantly explained fatalism (B = -0.19, p < 0.001).

conclusionsIn this study, cancer fatalism did not differ between Non-Hispanic White and African American women attending a screening mammogram. However, lower educational levels were associated with higher cancer fatalism. The previously observed associations between race and cancer fatalism may be explained by racial disparities in social determinants of health, such as education. Importantly, study findings indicate that the people with the greatest need for cancer fatalism interventions are those with lower educational levels.

Indexed as

Educational StatusBlack or African AmericanBreast NeoplasmsEarly Detection of CancerEmotionsFemaleHumansMammographyMiddle AgedWhite PeopleCancerEducationFatalismRaceScreening

Identifiers

PMID33151430
PMCPMC8284073

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.