Objective: Implicit cognitions about alcohol have been shown to be an important predictor of alcohol use. Relatively little research has been conducted on racial/ethnic differences in implicit cognitions or changes in implicit cognitions while intoxicated. This study examined differences between Blacks and Whites in positive and negative implicit associations about alcohol, as measured by the Implicit Association Test (IAT) and tested differences in IAT scores when participants were sober and intoxicated.
Method: One hundred thirty-five young adults (46% of Black descent) participated in an alcohol-administration study, receiving a moderate dose of alcohol (0.72 g/kg alcohol for men, 0.65 g/kg for women). The IAT was administered in two sessions, one in which alcohol was administered (30 minutes after alcohol consumption) and one in which it was not, approximately 1 week apart.
Results: Repeated-measures mixed-factorial analyses of variance were conducted separately for positive and negative IAT scores. Blacks held lower positive and negative implicit cognitions about alcohol compared with Whites. Positive and negative IAT scores did not change as a function of intoxication. Positive explicit expectancies and self-reported past-month drinking behavior were related to positive IAT scores. Positive and negative IAT scores were also related to acute subjective response to alcohol, and this association differed by race.
Conclusions: Results extend previous studies by providing evidence for racial differences in implicit cognitions about alcohol and by showing the stability of the IAT while participants are intoxicated. Future studies are needed to determine what factors contribute to racial differences in implicit cognitions.
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http://dx.doi.org/10.15288/jsad.2011.72.270 | DOI Listing |
Cognition
January 2025
Minerva Fast Track Group Milestones of Early Cognitive Development, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103 Leipzig, Saxony, Germany; Department of Liberal Arts and Sciences, University of Technology Nuremberg, Ulmenstraße 52i, 90443 Nuremberg, Germany. Electronic address:
As social beings, we excel at understanding what other people think or believe. We even seem to be influenced by the belief of others in situations where it is irrelevant to our current tasks. Such altercentric interference has been proposed to reflect implicit belief processing.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
IMoPA, UMR 7365, CNRS-Université de Lorraine, Nancy, France.
Background: While Alzheimer Disease (AD) patients' difficulty to recognize face identity (Werheid & Clare, 2007) has been mainly attributed to episodic and semantic memory impairments, these patients can also show abnormal difficulties at matching of unfamiliar faces for their identity, suggesting impaired perceptual function (Lavallée et al., 2016). However, since this latter evidence is based on explicit behavioural measures, the difficulties of AD patients can be due to many factors (e.
View Article and Find Full Text PDFFront Psychol
December 2024
Department of Psychology, Emory University, Atlanta, GA, United States.
Introduction: Implicit statistical learning is, by definition, learning that occurs without conscious awareness. However, measures that putatively assess implicit statistical learning often require explicit reflection, for example, deciding if a sequence is 'grammatical' or 'ungrammatical'. By contrast, 'processing-based' tasks can measure learning without requiring conscious reflection, by measuring processes that are facilitated by implicit statistical learning.
View Article and Find Full Text PDFBiomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
View Article and Find Full Text PDFHum Psychopharmacol
January 2025
School of Psychological Science, Oregon State University, Corvallis, Oregon, USA.
Objective: Despite the popular public perception that cannabis use may be beneficial for relieving mental health symptoms, the empirical evidence remains equivocal. Various legal hurdles limit the ability to research whether acute high-potency cannabis use affects mental health-related processes. Therefore, the current study used a novel methodology to examine the acute effects of high-potency cannabis flower on emotion regulation.
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