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

doi:10.1177/20420188221098881

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

Ther Adv Endocrinol Metab. 2022 May 14:13:20420188221098881. doi: 10.1177/20420188221098881. eCollection 2022.

Authors

Tobias Jungnickel¹, Ute von Jan¹, Stefan Engeli², Urs-Vito Albrecht¹

Affiliations

¹ Peter L. Reichertz Institute for Medical Informatics of the TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
² Institute of Pharmacology, Center of Drug Absorption and Transport (C DAT), University Medicine Greifswald, Felix-Hausdorff-Str. 3, 17487 Greifswald, Germany.

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.

Keywords: Implicit Association Test; ResearchKit; implicit bias; obesity; weight bias.