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Implicit Affect and Autonomous Nervous System Reactions: A Review of Research Using the Implicit Positive and Negative Affect Test. | LitMetric

AI Article Synopsis

  • Everyday life often includes automatic emotional responses that can lead to actions and physiological changes without conscious thought.
  • Self-reports of emotions can be unreliable due to personal biases, so the Implicit Positive and Negative Affect Test (IPANAT) was created to measure these hidden feelings.
  • Research using the IPANAT reveals that implicit emotions can predict physical responses to stress and fear better than self-reported emotions, highlighting the need for implicit measures in future studies on stress and mental health issues.

Article Abstract

In everyday life, affective processes occur spontaneously and typically go along with an automatic activation of action tendencies and physiological responses. Because self-reports of affect are also known to be biased by various factors, including deficits in introspection or impression management strategies, an indirect measure, the Implicit Positive and Negative Affect Test (IPANAT), was developed to assess implicit affect and to circumvent these difficulties. In this review, findings from neurobiological and clinical studies administering the IPANAT are revised, we focus on the link between implicit affect and psychophysiological reactions to affective stimuli and stressors. Specifically, implicit affect as measured by the IPANAT was found to predict cardiovascular, endocrine, and functional neuroimaging correlates of stress or fear beyond explicit affect. The present evidence strongly suggests the usage of implicit affect measures in future research on stress and psychopathology.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646715PMC
http://dx.doi.org/10.3389/fpsyg.2019.01634DOI Listing

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