Evidence map›Paper›PMID 36138274›Full record

ArticleJournal of general internal medicine2023

Are Current Guidelines Perpetuating Weight Stigma? A Weight-Skeptical Approach to the Care of Patients with Obesity.

Scott Hagan, Karin Nelson

Open access · bronzeAbstract readEditorial
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. A randomized controlled trial of an acceptance and commitment therapy-informed diabetes prevention program reduces body shame and distress.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025
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  5. Applying a Weight Stigma Lens to Australian and International Obesity-Related Policies for Women Across the Preconception, Pregnancy and Postpartum Periods: A Mapping Review.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Review
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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 at 1 institution in 1 country.

Scott HaganVA Puget Sound Health Care System, Seattle, WA, USA. scotthag@uw.edu.ORCID 0000-0003-2379-8089
Karin NelsonVA Puget Sound Health Care System, Seattle, WA, USA.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant controversy exists regarding the evidence to support the clinical benefits and risks of weight loss interventions for individuals with obesity. United States Preventative Task Force (USPSTF) guidelines recommend weight loss for all individuals with obesity while weight-neutral models such as Health at Every Size promote weight inclusivity, focusing on body acceptance rather than weight loss. We discuss how lifestyle-based weight-centric paradigms, such as the USPSTF Guidelines, may increase weight stigma and weight cycling, and many of their purported clinical benefits are not supported by existing evidence. However, we also acknowledge the clear benefits of metabolic surgery in high-risk individuals, and the potential benefits for pharmacotherapy for obesity in selected patients. Herein we describe a weight-skeptical approach to the care of patients with obesity that aims to use available evidence to support patient-centered care.

Indexed as

Anti-Obesity AgentsWeight PrejudiceHumansLife StyleObesityUnited StatesWeight LossAnti-Obesity Agentsobesityweight lossweight stigma

Identifiers

PMID36138274
PMCPMC9971382
OpenAlexW4296793703

What OpenQuestion holds

Textmetadata
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.