ArticleInternational journal of obesity (2005)2025
Implicit and explicit weight bias among healthcare professionals.
Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with overweight and obesity are negatively impacted by weight bias in healthcare, leading to poor quality of care and poor health outcomes. Implicit bias can be estimated from reaction times during Implicit Association Tests (IATs), and explicit bias can be self-reported. Data from over one million online survey responses collected by Project Implicit between 2006-2022 suggest that implicit and explicit weight bias persist among diagnosing and treating practitioners, other healthcare workers, and non-healthcare workers. Moreover, our findings indicate that diagnosing and treating workers could express more explicit bias than others. Across all three occupation groups examined, it appears that men have more explicit negative attitudes toward people with obesity, and explicit weight bias appears to be decreasing over time. Given the powerful impact healthcare workers have on the experiences of patients, more efforts should be made to educate them on how to recognize their weight biases, the negative impact of those biases, and how to take appropriate action.
Indexed as
Identifiers
40764653What OpenQuestion holds
Registered trials
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.