Racial, Gender, and Size Bias in a Medical Graphical Abstract Gallery: A Content Analysis.

ABSTRACT:

Introduction

Graphical abstracts may enhance dissemination of scientific and medical research but are also prone to reductionism and bias. We conducted a systematic content analysis of the Journal of Internal Medicine (JIM) Graphical Abstract Gallery to assess for evidence of bias.

Materials and methods

We analyzed 140 graphical abstracts published by JIM between February 2019 and May 2020. Using a combination of inductive and deductive approaches, we developed a set of codes and code definitions for thematic, mixed-methods analysis.

Results

We found that JIM graphical abstracts disproportionately emphasized male (59.5%) and light-skinned (91.3%) bodies, stigmatized large body size, and overstated genetic and behavioral causes of disease, even rel

SUBMITTER: Cerdena JP 

PROVIDER: S-EPMC10541937 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature