Evidence map›Paper›PMID 28363033›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2017

Using an Internet-Based Breast Cancer Risk Assessment Tool to Improve Social-Cognitive Precursors of Physical Activity.

Stephanie L Fowler, William M P Klein, Linda Ball, Jaclyn McGuire, Graham A Colditz, Erika A Waters

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Testing Explanations for Skepticism of Personalized Risk Information.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  3. Article
  4. Article
  5. Commentary: 20 years online with "Your Disease Risk".Cancer causes & control : CCC · 2021
    Article
  6. Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  7. Article
  8. 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

6 authors.

Stephanie L FowlerNational Cancer Institute, Bethesda, MD (SLF, WMPK).
William M P KleinNational Cancer Institute, Bethesda, MD (SLF, WMPK).
Linda BallWashington University in St. Louis, St. Louis, MO (LB, JM, GAC, EAW).
Jaclyn McGuireWashington University in St. Louis, St. Louis, MO (LB, JM, GAC, EAW).
Graham A ColditzWashington University in St. Louis, St. Louis, MO (LB, JM, GAC, EAW).
Erika A WatersWashington University in St. Louis, St. Louis, MO (LB, JM, GAC, EAW).

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Infectious Diseases/Basic Microbial Pathogenic MechanismsT32AI007172 · NIAID · WASHINGTON UNIVERSITY · PI Daniel E. Goldberg, JENNIFER A PHILIPS · 1985 to 2026
$13.0M
COMMUNICATING MULTIPLE DISEASE RISKS: A TRANSLATION OF RISK PREDICTION SCIENCER01CA190391 · NCI · WASHINGTON UNIVERSITY · PI WATERS, ERIKA A · 2015 to 2018
$1.4M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS R01 CA190391NIAID NIH HHS T32 AI007172
6 · The paper itself

Abstract

backgroundInternet-based cancer risk assessment tools might serve as a strategy for translating epidemiological risk prediction research into public health practice. Understanding how such tools affect key social-cognitive precursors of behavior change is crucial for leveraging their potential into effective interventions. PURPOSE: To test the effects of a publicly available, Internet-based, breast cancer risk assessment tool on social-cognitive precursors of physical activity.

methodsWomen (N = 132) aged 40-78 with no personal cancer history indicated their perceived risk of breast cancer and were randomly assigned to receive personalized ( www.yourdiseaserisk.wustl.edu ) or nonpersonalized breast cancer risk information. Immediately thereafter, breast cancer risk perceptions and physical activity-related behavioral intentions, self-efficacy, and response efficacy were assessed.

resultsPersonalized information elicited higher intentions, self-efficacy, and response efficacy than nonpersonalized information, P values < 0.05. Self-efficacy and response efficacy mediated the effect of personalizing information on intentions. Women who received personalized information corrected their inaccurate risk perceptions to some extent, P values < 0.05, but few fully accepted the information.

conclusionInternet-based risk assessment tools can produce beneficial effects on important social-cognitive precursors of behavior change, but lingering skepticism, possibly due to defensive processing, needs to be addressed before the effects can be maximized.

Indexed as

CognitionExerciseInternetRisk AssessmentAdolescentAdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansMiddle AgedMissouriYoung Adultcancerhealth cognitionshealth communicationrisk perceptionrisk prediction

Identifiers

PMID28363033
PMCPMC5498243

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.