2014
DOI: 10.1002/oby.20687
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Implicit and explicit weight bias in a national sample of 4,732 medical students: The medical student CHANGES study

Abstract: Objective To examine the magnitude of explicit and implicit weight biases compared to biases against other groups; and identify student factors predicting bias in a large national sample of medical students. Design and Methods A web-based survey was completed by 4732 1st year medical students from 49 medical schools as part of a longitudinal study of medical education. The survey included a validated measure of implicit weight bias, the implicit association test, and 2 measures of explicit bias: a feeling th… Show more

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Cited by 230 publications
(262 citation statements)
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“…Another solution would be to test implicit attitudes. For instance, the Implicit Association Test [51] has already been successfully used in the context of weight stigma [52,53] and should be taken into consideration for future validations. Third, the QDAC was a self-developed and non-validated instrument.…”
Section: Limitations Of This Studymentioning
confidence: 99%
“…Another solution would be to test implicit attitudes. For instance, the Implicit Association Test [51] has already been successfully used in the context of weight stigma [52,53] and should be taken into consideration for future validations. Third, the QDAC was a self-developed and non-validated instrument.…”
Section: Limitations Of This Studymentioning
confidence: 99%
“…Preclinical medical students are thus good examples of the effects of both implicit (unconscious) and explicit ( conscious) weight bias. Surveys show more than 40 % of medical students have signifi cant implicit weight bias [ 82 ], yet few are aware of their bias [ 83 ]. Unfortunately, the degree of weight stigma does not decrease with accumulating medical education or clinical experience.…”
Section: Weight-related Stigma In the Healthcare Systemmentioning
confidence: 99%
“…Many studies have reported on the prevalence of racial bias and stereotyping among health care practitioners [6,7]. A startling prevalence of bias toward obese patients exists among medical students [8], medical providers, [9][10][11] and even dietitians and nutritionists [12]. Harboring bias, and implicitly or explicitly demonstrating such negative attitudes, can have highly detrimental effects on patient outcomes including reinforcing obesogenic behaviors [7,13].…”
Section: Introductionmentioning
confidence: 99%