Evidence map›Paper›PMID 40379436›Full record

ReviewBMJ open diabetes research & care2025

Weight stigma and bias: standards of care in overweight and obesity-2025.

Raveendhara R Bannuru, Professional Practice Committee

Abstract readReview
In one paragraph

Review in BMJ open diabetes research & care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
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  9. 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

2 authors.

Raveendhara R BannuruAmerican Diabetes Association, Arlington, Virginia, USA rbannuru@diabetes.org.ORCID http://orcid.org/0000-0002-8069-5783
Professional Practice Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weight bias involves negative attitudes and stereotypes towards individuals based on their weight, which can be explicit or implicit. This bias contributes to weight stigma, or the mistreatment and social devaluation of individuals based on weight. Weight stigma is linked to adverse physical and mental health outcomes, leading to reduced access and quality of healthcare for individuals with obesity. The American Diabetes Association (ADA)'s Obesity Association developed guidelines on recognizing and addressing weight bias and stigma. All healthcare professionals and staff should receive training on weight bias and stigma to improve care for individuals with obesity. Training should start early and continue throughout medical education and practice. Multicomponent training that combines education with hands-on learning is recommended to reduce explicit and implicit weight bias. Clinical practices, a potential source of stigmatization for people living with obesity, should be equipped with appropriate furniture and equipment to establish an inclusive environment. Privacy and sensitivity during anthropometric measurements are essential to minimize stigmatization. Healthcare professionals should use person-centered, non-judgmental language and engage individuals in shared decision-making to consider their health and goals. Asking permission to discuss weight and respecting individual preferences is crucial. The ADA's Obesity Association encourages adopting these guidelines to reduce weight bias and stigma, emphasizing education, inclusive clinical environments, and effective communication to improve obesity care.

Indexed as

ObesityOverweightSocial StigmaStandard of CareWeight PrejudiceBody WeightHealth PersonnelHumansPractice Guidelines as TopicStereotypingObesityOverweightStandard of CareWeight Loss

Identifiers

PMID40379436
PMCPMC13059841

What OpenQuestion holds

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LicenceCC BY-NC
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.