Literature DB >> 30684514

High-approach and low-approach positive affect influence physiological responses to threat and anger.

Lukasz D Kaczmarek1, Maciej Behnke2, Michał Kosakowski2, Jolanta Enko2, Martyna Dziekan2, Jaroslaw Piskorski3, Brian M Hughes4, Przemysław Guzik5.   

Abstract

Positive affect has been related to faster cardiovascular recovery from stress. Although the family of positive affective states is diverse, no study examined whether high-approach positive affect (e.g., desire) has a different impact on peripheral physiological processes than more frequently studied low-approach positive affect (e.g., amusement). Building upon prior work on emotions and motivation, we expected that after controlling for arousal and valence, positive affect with higher motivational intensity would facilitate weaker recovery when compared to positive affect with lower motivational intensity. Across two experiments (N = 179 for Study 1, N = 220 for Study 2), we measured cardiovascular, respiratory, and electrodermal responses to positive stimuli that differed in approach intensity. We measured responses during recovery from stress and during reactivity to threat and anger. These studies partially replicated previous findings regarding the soothing function of positive affect (e.g., in respect to diastolic blood pressure recovery and reactivity). However, we found that high-approach and low-approach positive affect produced comparable effects. In summary, these findings suggest that positive valence rather than motivational intensity produces the main soothing effect on peripheral physiology.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Cardiovascular activity; Emotions, motivation; Respiration; Skin conductance; Stress

Mesh:

Year:  2019        PMID: 30684514     DOI: 10.1016/j.ijpsycho.2019.01.008

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  4 in total

1.  Head movement differs for positive and negative emotions in video recordings of sitting individuals.

Authors:  Maciej Behnke; Nadia Bianchi-Berthouze; Lukasz D Kaczmarek
Journal:  Sci Rep       Date:  2021-04-01       Impact factor: 4.379

2.  Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables.

Authors:  Stanisław Saganowski; Joanna Komoszyńska; Maciej Behnke; Bartosz Perz; Dominika Kunc; Bartłomiej Klich; Łukasz D Kaczmarek; Przemysław Kazienko
Journal:  Sci Data       Date:  2022-04-07       Impact factor: 6.444

3.  Psychophysiology of positive and negative emotions, dataset of 1157 cases and 8 biosignals.

Authors:  Maciej Behnke; Mikołaj Buchwald; Adam Bykowski; Szymon Kupiński; Lukasz D Kaczmarek
Journal:  Sci Data       Date:  2022-01-20       Impact factor: 6.444

4.  Distress and retaliatory aggression in response to witnessing intergroup exclusion are greater on higher levels of collective narcissism.

Authors:  Adrian Hase; Maciej Behnke; Magdalena Mazurkiewicz; Kamil Kordian Wieteska; Agnieszka Golec de Zavala
Journal:  Psychophysiology       Date:  2021-06-15       Impact factor: 4.016

  4 in total

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