Obesity Bias Among Dietitians Using the Fat People-Thin People Implicit Association Test

Edelstein, Sari; Gillis, Nicole

doi:10.1016/j.jada.2008.06.418

Cited by 10 publications

(19 citation statements)

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“…In fact, the scores on the IAT are close enough to zero to suggest an absence of implicit fat‐bias based on the results of the IAT. In contrast, the U.S. undergraduates measured using the same tool showed relatively lower levels of explicit fat‐stigma (ATOP) and very high levels of implicit fat‐stigma (IAT), and matched well to prior U.S. studies in a wide variety of samples including undergraduates but also young children, internet samples, and even health care professionals (e.g., Edelstein et al,2009; Schwartz et al,2003; Teachman et al,2003; Thomas et al,2007). Comparable results with the sample of U.S. undergraduates (75% female) collected here have also been described for 79 Irish undergrad and graduate students (72.5% female) (Roddy et al,2010) and 344 undergraduate students in New Zealand (67% female) (O'Brien et al,2007).…”

Section: Discussionsupporting

confidence: 57%

Explicit versus implicit fat‐stigma

Brewis

Wutich

2012

American J Hum Biol

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Section: Discussionsupporting

confidence: 57%

Explicit versus implicit fat‐stigma

Brewis

Wutich

2012

American J Hum Biol

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“…Additionally, compared with men, female physical therapists more commonly displayed empathy towards individuals with obesity in one study , and female physical education teachers were more likely to intervene in instances of weight bias towards students in another study . Finally, nine of 31 studies accounted for the exercise or nutrition professional's own body weight when examining their weight biases. Six of these nine studies showed that the professional's own body weight moderated their level of weight bias, such that exercise and nutrition professionals who were under or normal weight had higher levels of weight bias.…”

Section: Resultsmentioning

confidence: 98%

“…Seven studies examined weight bias among exercise professionals in an exercise setting including personal/group fitness trainers ( n = 4) and exercise professional trainees ( n = 3) . Eleven studies examined weight bias among nutrition professionals including dietitians/nutritionists ( n = 5) , dietetic/nutrition trainees ( n = 5) and a mixed sample of nutrition professionals/trainees ( n = 1) .…”

Section: Resultsmentioning

confidence: 99%

“…Of the 31 included studies, one study measured only implicit weight bias , 21 studies measured only explicit weight bias and nine studies measured both implicit and explicit weight bias . Implicit weight bias was assessed among the studies using the Implicit Associations Test (IAT) ( n = 10) . Effect sizes were calculated and pooled for implicit weight bias results measured by the IAT, which included results from 10 studies (nine studies of exercise professionals and one study of nutrition professionals).…”

Section: Resultsmentioning

confidence: 99%

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Weight bias among exercise and nutrition professionals: a systematic review

et al. 2018

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Obesity affects approximately one-third of American adults. Recent evidence suggests that weight bias may be pervasive among both exercise and nutrition professionals working with adults who have obesity. However, the published literature on this topic is limited. This review aimed to (i) systematically review existing literature examining weight bias among exercise and nutrition professionals; (ii) discuss the implications of this evidence for exercise and nutrition professionals and their clients; (iii) address gaps and limitations of this literature; and (iv) identify future research directions. Of the 31 studies that met the criteria for this review, 20 examined weight bias among exercise professionals, of which 17 (85%) found evidence of weight bias among professionals practicing physical therapy (n = 4), physical education (n = 8) and personal/group fitness training (n = 5). Of 11 studies examining weight bias among nutrition professionals, eight (73%) found evidence of weight bias. These findings demonstrate fairly consistent evidence of weight bias among exercise and nutrition professionals. However, the majority of studies were cross-sectional (90%). Given that weight bias may compromise quality of care and potentially reinforce weight gain and associated negative health consequences in patients with obesity, it is imperative for future work to examine the causes and consequences of weight bias within exercise and nutrition professions using more rigorous study designs.

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“…These discordant orientations may result in observable inconsistencies between the clinician's acknowledged professional responsibility to intervene, and their lacklustre systematic uptake of tobacco treatment routines in the clinic. Implicit biases have been documented among physicians relative to race/gender/ethnicity (Dovidio and Fiske, 2012;Moskowitz et al, 2012;Sabin et al, 2008;Sabin et al, 2009), obesity (Andrade et al, 2012;Edelstein et al, 2009;Roddy et al, 2010;Schwartz et al, 2003), substance abuse (Brener et al, 2007;von Hippel et al, 2008), and HIV (Mawar et al, 2005). It remains unknown whether stigmatisation also applies specifically to tobacco Table 4 Using the problem list to improve tobacco use treatment…”

Section: Framework Component 3: Patient Educationmentioning

confidence: 99%

Potential Social, Environmental, and Regulatory Threats to Electronic Health Record Strategies for Improving Tobacco Treatment in Healthcare

et al. 2013

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Introduction – The potential impact of electronic health records (EHR) in driving tobacco treatment behaviours within healthcare settings has been established. However, little is known about the administrative variables that may undermine effectiveness in real world settings.Aims – Assist healthcare planners interested in implementing tobacco-EHR systems by identifying an EHR framework that is consistent with published treatment guidelines, and the important organisational variables that can undermine the effectiveness of tobacco-EHR.Methods – This paper considers the established literature on EHR implementation and physician behaviour change, and integrates this understanding with the observations of an expert workgroup tasked with facilitating tobacco-EHR implementation in Southeastern Pennsylvania.Results/ Findings – System change in this topic area will continue to be problematic unless attention is paid to several important lessons regarding: 1) the evolving healthcare regulatory environment, 2) the integration of tobacco use treatment into primary care, and 3) the existing social and organisational barriers to uptake of evidence-based recommendations.Conclusion – Healthcare organisations seeking to reduce the impact of tobacco use on their patients are well served by tobacco-EHR systems that improve care. Managers can avoid sub-optimal implementation by considering several threats to effectiveness before proceeding to systems change.

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Obesity Bias Among Dietitians Using the Fat People-Thin People Implicit Association Test

Cited by 10 publications

References 0 publications

Explicit versus implicit fat‐stigma

Explicit versus implicit fat‐stigma

Weight bias among exercise and nutrition professionals: a systematic review

Potential Social, Environmental, and Regulatory Threats to Electronic Health Record Strategies for Improving Tobacco Treatment in Healthcare

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