Journal ArticleDOI
Anti-Fat Biases of Occupational and Physical Therapy Assistants
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TLDR
Interventions for occupational/physical therapy assistants’ anti-fat biases are critical, especially with increasing prevalence and responsibilities of occupational/ physical therapy assistants in the provision of rehabilitation services.Abstract:
Fat people are highly stigmatized, and anti-fat bias is pervasive resulting in stigma, prejudice, and discrimination, including in health care. The aim of this study was to explore occupational and physical therapy assistants' anti-fat biases. We analyzed secondary weight implicit association tests from 5,671 occupational/physical therapy assistants. The overwhelming majority (82%) of occupational/physical therapy assistants were implicitly prejudiced against fat people. Interventions for occupational/physical therapy assistants' anti-fat biases are critical, especially with increasing prevalence and responsibilities of occupational/physical therapy assistants in the provision of rehabilitation services.read more
Citations
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Eating and Weight Disorders. Studies on Anorexia, Bulimia and Obesity
Massimo Morlino,Mario Bolzan +1 more
TL;DR: The Usage Factor is the median value of the number of downloads in 2015/16 for all articles published online in that particular journal during the same time period according to COUNTER-compliant usage data on the SpringerLink platform.
Journal ArticleDOI
Book Review: Health at Every Size: The Surprising Truth About Your Weight
TL;DR: Health At Every Size: The Surprising Truth About Your Weight is Linda Bacon’s perspective on the HAES movement, whose basic tenants are self-acceptance, physical activity, and normalized eating, and Bacon provides the reader with historical background, scientific evidence, and tools to help break free from an obsession with weight.
Review of Megan B. McCullough a Jessica A. Hardin, eds. “Reconstructing Obesity: the meaning of measures and the measure of meanings”
TL;DR: McC McCullough and Hardin this article discuss the meaning of measures and the measure of meanings in the context of reconstructing obesity, and propose a framework for measuring the meaning between measures and their meanings.
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Infusing disability equity within rehabilitation education and practice: A qualitative study of lived experiences of ableism, allyship, and healthcare partnership
Heather A. Feldner,Heather D. Evans,Katherine Chamblin,Lesley M. Ellis,Mark Harniss,Danbi Lee,Joanne Woiak +6 more
TL;DR: In this article , a Critical Disability Studies (CDS) framework was employed to understand the lived experiences of ableism and allyship from faculty, staff, and students on University of Washington (UW) campuses who identify as d/Deaf, disabled/with a disability, or as having a chronic health condition.
References
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Journal ArticleDOI
Measuring individual differences in implicit cognition: The implicit association test.
TL;DR: An implicit association test (IAT) measures differential association of 2 target concepts with an attribute when instructions oblige highly associated categories to share a response key, and performance is faster than when less associated categories share a key.
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Understanding and using the Implicit Association Test: I. An improved scoring algorithm.
TL;DR: The best-performing measure incorporates data from the IAT's practice trials, uses a metric that is calibrated by each respondent's latency variability, and includes a latency penalty for errors, and strongly outperforms the earlier (conventional) procedure.
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The stigma of obesity: a review and update.
Rebecca M. Puhl,Chelsea A. Heuer +1 more
TL;DR: This review expands upon previous findings of weight bias in major domains of living, documents new areas where weight bias has been studied, and highlights ongoing research questions that need to be addressed to advance this field of study.
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Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.
TL;DR: A review of 122 research reports (184 independent samples, 14,900 subjects) found average r =.274 for prediction of behavioral, judgment, and physiological measures by Implicit Association Test (IAT) measures as mentioned in this paper.
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Implicit bias in healthcare professionals: a systematic review
TL;DR: The evidence indicates that healthcare professionals exhibit the same levels of implicit bias as the wider population, and the need for the healthcare profession to address the role of implicit biases in disparities in healthcare is highlighted.