Evidence map›Paper›PMID 42859781›Full record

ArticleObesity pillars2026

Hope, hype, and high costs: Navigating glucagon-like Peptide-1 based therapy initiation among young adults.

Sourav Das Gupta, Jaqueline Krystel Loubeau, Antara Swarnali Priyanka, Yajaira A Cabrera Tineo, Janet Diaz-Martinez, Michelle M Hospital, Mariana Sanchez, Rumi Agarwal

Abstract read
In one paragraph

Article in Obesity pillars, 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

8 authors.

Sourav Das GuptaDepartment of Health Promotion and Disease Prevention, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Jaqueline Krystel LoubeauDepartment of Health Promotion and Disease Prevention, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Antara Swarnali PriyankaDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Yajaira A Cabrera TineoCenter for Research on US Latino HIV/AIDS and Drug Abuse (CRUSADA), Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Janet Diaz-MartinezDepartment of Dietetics and Nutrition, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Michelle M HospitalDepartment of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Mariana SanchezDepartment of Health Promotion and Disease Prevention, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Rumi AgarwalDepartment of Health Promotion and Disease Prevention, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glucagon-like peptide-1 (GLP-1)-based therapies have emerged as a major option for weight management, with prescribing among young adults increasing nearly sixfold between 2020 and 2023 in the United States. Despite this growth, little is known about how young adults decide to initiate GLP-1 therapy, navigate access, and manage treatment costs. This study examined individual, social, financial, and structural influences shaping GLP-1 initiation for weight management among young adults. Methods: This was a qualitative interview study that employed a semi-structured interview design utilizing a hybrid inductive-deductive thematic analysis framework guided by Andersen's Behavioral Model of Health Services Use. We recruited 25 young adults aged 18-30 years from the South Florida community who were currently using or had used GLP-1-based therapy for weight management within the preceding 12 months. Transcripts were coded deductively based on constructs from Andersen's model and inductively from themes identified directly from participant narratives. Results: Participants had a mean age of 22 years; 20 (80%) were female and 19 (76%) identified as Hispanic or Latino. Four themes were identified: (1) motivations and expectations for initiation, including health needs, appearance-related goals, and social media-shaped expectations; (2) social and clinical pathways to GLP-1 introduction, particularly family networks and social media; (3) navigation of access pathways ranging from conventional clinical care to medical spas, telehealth, and unregulated self-procurement; and (4) financial barriers characterized by out-of-pocket costs and insurance exclusions that contributed to informal procurement. Conclusions: Within this sample, GLP-1 initiation among young adults was shaped by intersecting health needs, social influences, access structures, and financial constraints rather than by clinical considerations alone. Findings highlight that healthcare systems, policymakers, and public health practitioners must prioritize clinically appropriate access, reliable medication sourcing, and consistent clinical oversight to promote equity and safety among young adults.

Indexed as

Access barriersFinancial burdenGlucagon-like peptide-1 based therapyMedication initiationWeight managementYoung adults

Identifiers

PMID42859781
PMCPMC13653475

What OpenQuestion 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 OpenQuestion graph.