Evidence map›Paper›PMID 24463396›Full record

ArticleHealth education research2014

The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes.

Shelly R Hovick, Anna V Wilkinson, Sato Ashida, Hendrik D de Heer, Laura M Koehly

Open access · hybridAbstract read
In one paragraph

Article in Health education research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. User Perceptions and Reactions to an Online Cancer Risk Assessment Tool: a Process Evaluation of Cancer Risk Check.Journal of cancer education : the official journal of the American Association for Cancer Education · 2017
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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

5 authors at 3 institutions in 1 country.

Shelly R HovickSchool of Communication, The Ohio State University Columbus, Ohio 43210 USA, The University of Texas School of Public Health, Austin Regional Campus, Austin, TX, 78712 USA, University of Iowa College of Public Health, Iowa City, IA, 52242 USA, Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ, 86011 USA and National Human Genome Research Institute, Social and Behavioral Research Branch, National Institutes of Health, Bethesda, MD, 20892 USA.
Anna V Wilkinson
Sato Ashida
Hendrik D de Heer
Laura M Koehly
National Institutes of Health · USNational Human Genome Research Institute · USUniversity of Iowa · US

Funding

R25 SUPPLEMENT IN GENETIC EPIDEMIOLOGY EDUCATIONR25CA057730 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHANG, SHINE · 1992 to 2016
$18.6M
The influence of familial social context on risk dissemination and copingZIAHG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2009 to 2025
$13.6M
The influence of familial social context on risk dissemination and copingZ01HG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2006 to 2008
$1.2M
Bio-Behavioral Smoking Profiles in Mexican Origin YouthK07CA126988 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WILKINSON, ANNA VICTORIA · 2008 to 2012
$753k
Intramural NIH HHS Z01 HG200335NCI NIH HHS CA126988NCI NIH HHS K07 CA126988NCI NIH HHS R25 CA057730NHGRI NIH HHS Z01HG200335PHS HHS R25TCA57730
6 · The paper itself

Abstract

Little is known about the effect of personalized risk information on risk perceptions over time, particularly among ethnically diverse subpopulations. The present study examines Mexican American's (MAs) risk perceptions for heart disease and diabetes at baseline and following receipt of risk feedback based on family health history. Participants comprising 162 households received a pedigree or personalized risk feedback, with or without behavioral risk reduction recommendations. Multiple logistic regression analyses were used to assess lifetime perceived risk (LPR) at baseline, 3 months and 10 months following the receipt of risk feedback. Having an elevated familial risk of heart disease or diabetes increased the odds of an elevated LPR for both diseases at baseline. At 3 months, compared with receipt of a pedigree only, MAs receiving elevated risk feedback for both diseases were more likely to have an elevated LPR for both diseases. At 10 months, participants receiving weak risk feedback for both diseases indicated an adjustment to a lower LPR for heart disease only. Results suggest that communicating risk for multiple diseases may be more effective than a single disease, with responses to increased risk feedback more immediate than to weak risk feedback.

Indexed as

Feedback, PsychologicalAdolescentAdultAgedDiabetes MellitusFamilyFemaleHealth EducationHeart DiseasesHumansMaleMexican AmericansMiddle AgedRisk AssessmentRisk FactorsRisk Reduction Behavior

Identifiers

PMID24463396
PMCPMC3959204
OpenAlexW2148317793

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.