Evidence map›Paper›PMID 37542821›Full record

Trial reportPatient education and counseling2023

Physician weight influences responses to a public health message about the genetics of obesity.

Sydney H Telaak, Lauren C Howe, Susan Persky

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Patient education and counseling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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 at 3 institutions in 2 countries.

Sydney H TelaakSocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, USA.
Lauren C HoweDepartment of Business Administration, University of Zurich, Switzerland.
Susan PerskySocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, USA. Electronic address: perskys@mail.nih.gov.
National Human Genome Research Institute · USNational Institutes of Health · USUniversity of Zurich · CH

Funding

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

objectiveMany patients prefer lean physicians to physicians with obesity and place higher credence in their weight management advice. Because genetic information about weight can be viewed as self-serving for individuals with overweight or obesity, physicians with obesity may be discounted when sharing such information. As provision of genetic information regarding weight becomes increasingly common in public health messaging, could a physician's own weight influence how these messages are received by the public?

methodsIn an online survey, 967 participants were randomly assigned a physician profile (lean v. has obesity) with a media interview transcript discussing genetic factors of a common health condition (obesity v. osteoporosis).

resultsParticipants perceived the physician with obesity who discussed genetic factors in obesity as less trustworthy and less credible. Participants were also less likely to anticipate following her advice on weight-related issues. Participants with higher BMI had less negative perceptions of this physician.

conclusionPhysicians with obesity, when providing public health messaging regarding genetic information about obesity, may be met with distrust and negative attitudes toward the physician. PRACTICAL IMPLICATIONS: Future research should investigate health communication strategies that address this form of weight stigma while accurately conveying genetic factors that contribute to weight.

Indexed as

PhysiciansPublic HealthFemaleHumansObesityOverweightSurveys and QuestionnairesBody weightGeneticsHealth messagingObesityPhysiciansPublic health

Identifiers

PMID37542821
PMCPMC12965215
OpenAlexW4380741986

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.