Evidence map›Paper›PMID 32673182›Full record

ArticleJournal of health communication2020

Relationships of Family History-related Factors and Causal Beliefs to Cancer Risk Perception and Mammography Screening Adherence Among Medically Underserved Women.

Soo Jung Hong, Melody Goodman, Kimberly A Kaphingst

Abstract read
In one paragraph

Article in Journal of health communication, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Soo Jung HongDepartment of Communications and New Media, National University of Singapore , Singapore.ORCID 0000-0001-9962-1023
Melody GoodmanDepartment of Biostatistics, New York University School of Global Public Health , New York, New York, USA.
Kimberly A KaphingstHuntsman Cancer Institute, University of Utah , Salt Lake City, Utah, USA.ORCID 0000-0003-2668-9080

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

This study examines how family history-related factors and causal beliefs affect underserved women's cancer risk perceptions and adherence to mammography. 1,010 patients at a primary care safety net clinic at a large urban hospital completed a survey in 2015. Of the 1,010 patients, 467 women 45 years of age or older were included in this analysis. The majority of participants were African American (68%). We built multivariable linear and logistic regression models to examine the dependent variables of cancer risk perception and mammography screening adherence. According to the results, those with a family history of cancer were significantly more likely to be adherent to mammography. Perceived importance of family health history also significantly predicted their mammography screening adherence. However, cancer risk perceptions did not predict underserved women's mammography adherence. Significant interaction effects on the associations 1) between family cancer history, cancer risk perceptions, and mammography screening adherence and 2) between race, behavioral causal beliefs, and risk perceptions were found. Findings suggest that implementing different strategies across racial groups and by cancer history may be necessary to promote regular mammography screening.

Indexed as

Health Knowledge, Attitudes, PracticeMedical History TakingAgedBlack or African AmericanBreast NeoplasmsEarly Detection of CancerFemaleGenetic Predisposition to DiseaseHealth Care SurveysHumansMammographyMedically Underserved AreaMiddle AgedMissouriPatient ComplianceRisk Assessment

Identifiers

PMID32673182
PMCPMC7749030

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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.