Evidence map›Paper›PMID 31003876›Full record

ArticlePatient education and counseling2019

Influence of weight etiology information and trainee characteristics on Physician-trainees' clinical and interpersonal communication.

Rachel W Cohen, Susan Persky

Open access · greenAbstract read
In one paragraph

Article in Patient education and counseling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Efficacy of interventions aimed at reducing explicit and implicit weight bias in healthcare students: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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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

2 authors at 2 institutions in 1 country.

Rachel W CohenHarvard T.H. Chan School of Public Health, USA.
Susan PerskySocial and Behavioral Research Branch, National Human Genome Research Institute, USA. Electronic address: perskys@mail.nih.gov.
Harvard University · USNational Human Genome Research Institute · US

Funding

Immersive Virtual Environment Testing AreaZIDHG200384 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PERSKY, SUSAN · 2012 to 2025
$7.1M
Communication of genomic information in clinical, community, and digital contextsZIAHG200383 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PERSKY, SUSAN · 2012 to 2025
$3.5M
Intramural NIH HHS ZIA HG200383
6 · The paper itself

Abstract

objectiveThis analysis explores the effects of relaying information about the genetic and behavioral causes of obesity (vs. control) on physician trainees' verbal communication behavior with a virtual patient with obesity. Moderation by physician trainees' gender and BMI was also assessed.

methods119 physician trainees' verbal responses were recorded and coded using a close-ended content analytic approach.

resultsPhysician trainees in the behavioral and genetic information conditions were more likely to discuss weight (behavioral: AOR = 5.40; genetic: AOR = 6.58,) and provide lifestyle counseling (behavioral: AOR = 10.92; genetic: AOR = 3.50). Those in the behavioral condition were more likely to make assumptions about the patient's lifestyle behavior (AOR = 5.53) and use stigmatizing language (AOR = 4.69). Heavier physician trainees in the genetic condition had shorter interactions (β = -0.53, p <  0.01).

conclusionEmphasizing the genetic causes of overweight offers a potential avenue for encouraging clinical communication with patients with obesity, without also increasing prejudice and bias. Additional efforts may be needed to reap the benefits of genetic information for providers with higher weight. PRACTICE IMPLICATIONS: For providers, considering genetic factors underlying patient body weight and obesity risk may serve to reduce stigmatizing communication with patients.

Indexed as

CommunicationCounselingPhysician-Patient RelationsAdultFemaleHumansInternship and ResidencyLife StyleMaleObesityPatient SimulationStereotypingStudents, MedicalHealthcare communicationMedical studentsWeight managementWeight stigma

Identifiers

PMID31003876
PMCPMC6660982
OpenAlexW2926039243

What OpenQuestion holds

Textmetadata
LicenceTDM
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.