Weight stigmatization is defined as the devaluation of others based on weight, a visible and specific characteristic that cannot be hidden. The consequences of weight stigmatization have been studied in victims and healthcare providers. This narrative literature review describes the consequences of weight stigmatization in victims and healthcare practitioners. According to several studies, high levels of psychological dysfunction in victims coexist with negative stereotypes in healthcare professionals, since the latter are exposed to the same negative media messages about obesity. Thus, weight stigmatization contributes to increase the burden of obesity, since when obese patients perceive that they are discriminated by healthcare professionals, their unhealthy behaviors persist and they have a low adherence to obesity treatment and medical recommendations.
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http://dx.doi.org/10.4067/s0034-98872017000901160 | DOI Listing |
Biol Psychiatry Cogn Neurosci Neuroimaging
December 2024
Department of Clinical Medicine, University of Bergen, Bergen, Norway; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Background: Electroconvulsive therapy (ECT) is a well-established treatment for severe depression, yet it remains stigmatized due to public perceptions linking it with brain injury. Despite extensive research, the neurobiological mechanisms underlying ECT are not fully elucidated. Recent findings suggest that ECT may work through disrupting depression circuitry.
View Article and Find Full Text PDFBMC Psychol
December 2024
UMR7267 Ecology and Biology of Interactions (EBI), University of Poitiers, University Hospital Center of Poitiers, Poitiers, France.
Background: After a literature review and interviews with patients living with obesity, key psychosocial determinants such as coping strategies, weight bias internalization, body dissatisfaction and self-efficacy were identified as critical to address obesity-related stigma. The intervention was tailored using evidence-based techniques and input from health professionals to ensure relevance and avoid redundancy. This randomized controlled trial (RCT) aims to evaluate the effect of an intervention specifically designed to address weight stigma among individuals living with obesity.
View Article and Find Full Text PDFAnn Behav Med
December 2024
Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Glucagon-like peptide-1 (GLP-1) agonist medications are receiving high levels of attention because of their dramatic efficacy in causing weight loss. This commentary discusses several ways that those in behavioral medicine and health psychology might think about these medications-whether they should be fully in support of them or whether they pose a risk. The positive aspects of GLP-1s include their great promise in improving health independent of weight loss and the perspective that their efficacy frees individuals from the difficulties of behavioral weight maintenance and the associated stigma of "failing" to lose weight.
View Article and Find Full Text PDFIndian J Public Health
October 2024
Assistant Professor, Department of Nutrition and Dietetics, Louisiana Tech University, Ruston, LA, USA.
A A Pract
December 2024
From the Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.
Background: Holistic review of applications may optimize recruitment of residents by seeking out characteristics best aligned with program culture. The goals of this mixed methods research were to engage residency recruitment stakeholders to develop a holistic scoring rubric, measure the correlation between the rubric score and the final global rating used to rank applicants for the National Resident Matching Program Match, and qualitatively analyze committee discussions at the end of the interview day about applicants for potential unconscious biases.
Methods: Forty stakeholders (32 faculty, 3 chief residents, and 5 administrative staff) completed an iterative consensus-driven process to identify the most highly valued applicant attributes, and a corresponding standardized question for each attribute.
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