Cargando…
Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study
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 pr...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112301/ https://www.ncbi.nlm.nih.gov/pubmed/35592657 http://dx.doi.org/10.1177/20420188221098881 |
_version_ | 1784709392581525504 |
---|---|
author | Jungnickel, Tobias von Jan, Ute Engeli, Stefan Albrecht, Urs-Vito |
author_facet | Jungnickel, Tobias von Jan, Ute Engeli, Stefan Albrecht, Urs-Vito |
author_sort | Jungnickel, Tobias |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9112301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-91123012022-05-18 Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study Jungnickel, Tobias von Jan, Ute Engeli, Stefan Albrecht, Urs-Vito Ther Adv Endocrinol Metab Original Research 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. SAGE Publications 2022-05-14 /pmc/articles/PMC9112301/ /pubmed/35592657 http://dx.doi.org/10.1177/20420188221098881 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Jungnickel, Tobias von Jan, Ute Engeli, Stefan Albrecht, Urs-Vito Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study |
title | Exploring the weight bias of professionals working in the field of
obesity with a mobile IAT: a pilot study |
title_full | Exploring the weight bias of professionals working in the field of
obesity with a mobile IAT: a pilot study |
title_fullStr | Exploring the weight bias of professionals working in the field of
obesity with a mobile IAT: a pilot study |
title_full_unstemmed | Exploring the weight bias of professionals working in the field of
obesity with a mobile IAT: a pilot study |
title_short | Exploring the weight bias of professionals working in the field of
obesity with a mobile IAT: a pilot study |
title_sort | exploring the weight bias of professionals working in the field of
obesity with a mobile iat: a pilot study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112301/ https://www.ncbi.nlm.nih.gov/pubmed/35592657 http://dx.doi.org/10.1177/20420188221098881 |
work_keys_str_mv | AT jungnickeltobias exploringtheweightbiasofprofessionalsworkinginthefieldofobesitywithamobileiatapilotstudy AT vonjanute exploringtheweightbiasofprofessionalsworkinginthefieldofobesitywithamobileiatapilotstudy AT engelistefan exploringtheweightbiasofprofessionalsworkinginthefieldofobesitywithamobileiatapilotstudy AT albrechtursvito exploringtheweightbiasofprofessionalsworkinginthefieldofobesitywithamobileiatapilotstudy |