The emergence of the Implicit Association Test (IAT) has encouraged the study of the implicit stigma associated with mental illness in recent years, although further research is still needed in this area. A sample (n = 102) composed of psychology students and people from the general population completed explicit stigma tests: Attribution Questionnaire-9 (AQ-9), Social Distance Scale (DS) and a Spanish version of the IAT. A statistical analysis of sociodemographic measures and variables, and the relationships between explicit and implicit evidence, was carried out. The presence of implicit and explicit stigma was observed throughout the sample. Significantly lower AQ-9 scores were found in the student group. A greater desire for social distance was related to older age, belonging to the general population group and not having a diagnosed relative. In contrast, greater implicit stigma was found in people who had a family member with a diagnosis. No relationship was observed between explicit tests and IAT. An analysis of the main components revealed one implicit component and other explicit. Our study supports the existence of a stigma model with two different dimensions. These findings highlight the need to consider explicit and also implicit stigma, in future theoretical models and applied studies.
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http://dx.doi.org/10.1016/j.psychres.2018.12.172 | DOI Listing |
Gerontologist
December 2024
Department of Social Sciences, University of Houston-Downtown, Houston, Texas, USA.
Older adults on the autism spectrum exhibit a broad array of strengths and limitations. While exceptional abilities may be masked by difficulties in presentation and communication, hidden disabilities can lead to unmet needs for accommodation and support. Critical to the recognition of disabilities is subjects' readiness to disclose potentially stigmatizing conditions or concerns-weighing the benefits of self-disclosure (e.
View Article and Find Full Text PDFFront Psychol
November 2024
Department of Psychology, University of North Carolina, Chapel Hill, NC, United States.
Introduction: This article describes the development and initial validation of a measure of implicit internalized stigma among queer people, the Implicit Internalized Sexual Orientation Stigma Affect Misattribution Procedure (Internal-SOS-AMP), a computer-administered sequential priming procedure.
Methods: The creation of the Internal-SOS-AMP involved a mixed-methods approach, including a literature review, expert interviews, stimuli selection and pilot testing, data collection from a large sample, reliability testing, correlational analyses, and confirmatory factor analysis. Psychometric testing was conducted with a national sample of 500 queer adults who completed two waves of data collection.
Am J Lifestyle Med
December 2024
Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA (SBS).
Biases and stigma related to health, diabetes, and obesity are an obstacle to providing respectful, empathetic, holistic care. Recognizing explicit and implicit biases and understanding the detrimental consequences is key to the stigma that exists, and the impact that it has on patient care is key. Health care professionals have a responsibility to communicate with patients with respect, empathy, and honesty, ensuring the person is at the center of care.
View Article and Find Full Text PDFChest
December 2024
GO2 for Lung Cancer; Department of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington. Electronic address:
Lung cancer is the second most common and the deadliest cancer for men and women in the U.S. Historical and current-day injustices, implicit and explicit bias, stigma, social determinants, and disparities contribute to inequitable lung cancer-related health outcomes for Black and African Americans comparatively.
View Article and Find Full Text PDFJ Obstet Gynecol Neonatal Nurs
November 2024
Objective: To more clearly understand the use of stigmatizing and nonstigmatizing language in electronic health records in hospital birth settings and to broaden the understanding of discrimination and implicit bias in clinical care.
Design: A secondary qualitative analysis of free-text clinical notes from electronic health records.
Setting: Two urban hospitals in the northeastern United States that serve patients with diverse sociodemographic characteristics during the perinatal period.
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