Evidence map›Paper›PMID 42851870›Full record

ArticleObesity science & practice2026

Patient Knowledge of GLP-1 Receptor Agonists for Obesity and Exploration of Potential Household-Level Effects in an Urban Health System.

Leah M Schumacher, Elise Rodrigues, Erin Mraz, Doria Wohler, Astha Rajpal, Sharon J Herring, Daniel J Rubin, Ajay D Rao, Laura Igarabuza, Samantha Flanagan and 2 more

Abstract read
In one paragraph

Article in Obesity science & practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Leah M SchumacherDepartment of Social and Behavioral Sciences College of Public Health Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0003-1557-4659
Elise RodriguesLewis Katz School of Medicine Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0009-0000-2443-8494
Erin MrazDepartment of Social and Behavioral Sciences College of Public Health Temple University Philadelphia Pennsylvania USA.
Doria WohlerDepartment of Social and Behavioral Sciences College of Public Health Temple University Philadelphia Pennsylvania USA.
Astha RajpalDepartment of Social and Behavioral Sciences College of Public Health Temple University Philadelphia Pennsylvania USA.
Sharon J HerringCenter for Obesity Research and Education College of Public Health Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-6136-521X
Daniel J RubinSection of Endocrinology, Diabetes and Metabolism Department of Medicine Lewis Katz School of Medicine Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-6871-6246
Ajay D RaoDepartment of Medicine Lewis Katz School of Medicine Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-2550-6097
Laura IgarabuzaDepartment of Population Health Sciences Center for Health Justice and Bioethics Lewis Katz School of Medicine Temple University Philadelphia Pennsylvania USA.
Samantha FlanaganFamily and Community Medicine Lewis Katz School of Medicine Temple University Philadelphia Pennsylvania USA.
Daniel EdmundowiczTemple Heart & Vascular Institute Lewis Katz School of Medicine Temple University Philadelphia Pennsylvania USA.
Resa M JonesDepartment of Epidemiology and Biostatistics College of Public Health Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-0080-4047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for obesity management has gained widespread popularity and media attention. However, little is known about patients' knowledge related to GLP-1 RAs (e.g., prescribing indications, side effects), how patients currently learn and wish to learn about GLP-1 RAs, and how GLP-1 RA use may impact weight-related behaviors and attitudes within households (e.g., food purchasing patterns). Objective: This study evaluated these questions among diverse adults recruited from a large, urban health system. Methods: Participants were recruited to complete a brief online questionnaire through flyers posted in several outpatient clinics within a large health system. Recruitment occurred from November 2024 to April 2025. Descriptive statistics were calculated. Results: Fifty-two patients completed the questionnaire. Overall, 98% of participants had heard at least "a little" about GLP-1 RAs. The conditions participants most commonly believed could benefit from use were obesity (88%), diabetes (75%), and high blood pressure (43%). The side effects they had heard most about were nausea/vomiting (71%), diarrhea (49%), and constipation (47%). Expected amount of weight loss and understanding of GLP-1 RAs' mechanisms of action varied widely. The most common GLP-1 RA information source was commercials/advertisements (73%); however, the most frequently preferred information source was healthcare professionals (87%). In exploratory analyses among patients with current or past GLP-1 RA use and ≥ 1 other household member ( Conclusion: These findings suggest that many patients understand the primary indications for GLP-1 RAs for obesity and common side effects, while also highlighting opportunities for improved decision support. Additional research on a potential "ripple effect" within households using larger samples and more robust methods is warranted.

Indexed as

decision‐makingGLP‐1 receptor agonistsobesityoverweightpatient educationripple effect

Identifiers

PMID42851870
PMCPMC13646696

What Socratic holds

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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 Socratic graph.