Evidence map›Paper›PMID 35592657›Full record

ArticleTherapeutic advances in endocrinology and metabolism2022

Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study.

Tobias Jungnickel, Ute von Jan, Stefan Engeli, Urs-Vito Albrecht

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in endocrinology and metabolism, 2022. 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
2.1field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

4 authors at 3 institutions in 1 country.

Tobias JungnickelPeter L. Reichertz Institute for Medical Informatics of the TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
Ute von JanPeter L. Reichertz Institute for Medical Informatics of the TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
Stefan EngeliInstitute of Pharmacology, Center of Drug Absorption and Transport (C DAT), University Medicine Greifswald, Felix-Hausdorff-Str. 3, 17487 Greifswald, Germany.ORCID https://orcid.org/0000-0002-3087-971X
Urs-Vito AlbrechtPeter L. Reichertz Institute for Medical Informatics of the TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DEBielefeld University · DEUniversitätsmedizin Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is common in many industrialized nations and often accompanied by related health issues. Furthermore, individuals living with overweight or obesity are often confronted with stigmatization in their daily lives. These problems may be aggravated if the objectivity of health care professionals is compromised due to (unconscious) prejudices. If pharmaceutical companies, regulatory agencies, and health insurers are also susceptible to these biases, decisions related to the development, approval, and reimbursement of obesity-related therapies may be negatively impacted. Materials and Methods: The 'Implicit Association Test' (IAT) is a psychometric test allowing to measure these attitudes and could therefore assist to reveal unconscious preferences. A self-developed mobile version, in the form of a ResearchKit-based IAT app was employed in the presented study. The objective was to determine (potential) weight bias and its characteristics for professionals attending a national obesity-related conference in Germany (G1), compared to a control group (without stated interest in the topic, G2) - both using the mobile app - and a historical control (G3) based on data provided by Project Implicit acquired by a web app. Results: Explicit evaluations of G1 were neutral at a higher percentage compared with G2 and G3, while implicit preference toward lean individuals did not differ significantly between G2 and G3, and G1. Conclusion: The greater discrepancy between the (more neutral) explicit attitude and the unconscious preference pointing in the anti-obesity direction could indicate an underestimated bias for the professional participants in G1. Implicit preference is often ingrained from childhood on, and difficult to overcome. Thus, even for professionals, it may unconsciously influence decisions made in the care they provide. Professionals in any given health care sector directed at obesity care should thus be made aware of this inconsistency to enable them to consciously counteract this potential effect.

Indexed as

Implicit Association Testimplicit biasobesityResearchKitweight bias

Identifiers

PMID35592657
PMCPMC9112301
OpenAlexW4285111741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.