Evidence map›Paper›PMID 40599995›Full record

ArticleObesity science & practice2025

Exploring the Role of Internalized Weight Bias as a Metric of Cumulative Social Disadvantage Among People With Obesity or Overweight: Insights From the OBSERVE Study.

Jamy Ard, Julia P Dunn, Hong Kan, Tracy J Sims, Nadia N Ahmad, Soohyun Hwang, Adam Jauregui, Sheila Drakeley, Scott Kahan, Neena A Xavier

Abstract read
In one paragraph

Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Jamy ArdWake Forest University School of Medicine Winston-Salem North Carolina USA.
Julia P DunnEli Lilly and Company Indianapolis Indiana USA.
Hong KanEli Lilly and Company Indianapolis Indiana USA.ORCID https://orcid.org/0000-0002-4585-5016
Tracy J SimsEli Lilly and Company Indianapolis Indiana USA.
Nadia N AhmadEli Lilly and Company Indianapolis Indiana USA.
Soohyun HwangOracle Life Sciences Austin Texas USA.
Adam JaureguiOracle Life Sciences Austin Texas USA.
Sheila DrakeleyOracle Life Sciences Austin Texas USA.
Scott KahanGeorge Washington University School of Medicine Washington District of Columbia USA.
Neena A XavierEli Lilly and Company Indianapolis Indiana USA.ORCID https://orcid.org/0000-0002-6193-3950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Experiencing bias and stigma are social determinants of health (SDoH). Recently, internalized weight bias (IWB) has been included as an SDoH in obesity medicine. This study examined the association of IWB with other pillars of SDoH and how IWB contributes to cumulative social disadvantage for people living with obesity. Methods: A cross-sectional, web-based survey was conducted in the United States (May-December 2022) with a sample of adults with obesity or overweight. Multiple linear regression was performed to evaluate the relationship between WSSQ (higher score indicating experiencing more IWB) and other pillars of SDoH. Results: Participants who reported race as Black (adjusted mean difference [95% CI] -3.86 [-5.21, -2.52]; Conclusion: The study showed that IWB is associated with certain other pillars of SDoH. Findings highlight the need for a comprehensive and patient-centric approach to managing individuals with greater IWB, which may contribute to a higher cumulative social disadvantage and, consequently, worse health outcomes.

Indexed as

body imageinternalized weight biasobesitysocial determinants of healthweight self‐stigma questionnaireweight stigma

Identifiers

PMID40599995
PMCPMC12207901

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.