@article{WuWinklerWieseretal.2015, author = {Wu, Lingdan and Winkler, Markus H. and Wieser, Matthias J. and Andreatta, Marta and Li, Yonghui and Pauli, Paul}, title = {Emotion regulation in heavy smokers: experiential, expressive and physiological consequences of cognitive reappraisal}, series = {Frontiers in Psychology}, volume = {6}, journal = {Frontiers in Psychology}, number = {1555}, doi = {10.3389/fpsyg.2015.01555}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-145225}, year = {2015}, abstract = {Emotion regulation dysfunctions are assumed to contribute to the development of tobacco addiction and relapses among smokers attempting to quit. To further examine this hypothesis, the present study compared heavy smokers with non-smokers (NS) in a reappraisal task. Specifically, we investigated whether non-deprived smokers (NDS) and deprived smokers (DS) differ from non-smokers in cognitive emotion regulation and whether there is an association between the outcome of emotion regulation and the cigarette craving. Sixty-five participants (23 non-smokers, 22 NDS, and 20 DS) were instructed to down-regulate emotions by reappraising negative or positive pictorial scenarios. Self-ratings of valence, arousal, and cigarette craving as well as facial electromyography and electroencephalograph activities were measured. Ratings, facial electromyography, and electroencephalograph data indicated that both NDS and DS performed comparably to nonsmokers in regulating emotional responses via reappraisal, irrespective of the valence of pictorial stimuli. Interestingly, changes in cigarette craving were positively associated with regulation of emotional arousal irrespective of emotional valence. These results suggest that heavy smokers are capable to regulate emotion via deliberate reappraisal and smokers' cigarette craving is associated with emotional arousal rather than emotional valence. This study provides preliminary support for the therapeutic use of reappraisal to replace maladaptive emotion-regulation strategies in nicotine addicts.}, language = {en} } @article{HeinGamerGalletal.2021, author = {Hein, Grit and Gamer, Matthias and Gall, Dominik and Gr{\"u}ndahl, Marthe and Domschke, Katharina and Andreatta, Marta and Wieser, Matthias J. and Pauli, Paul}, title = {Social cognitive factors outweigh negative emotionality in predicting COVID-19 related safety behaviors}, series = {Preventive Medicine Reports}, volume = {24}, journal = {Preventive Medicine Reports}, doi = {10.1016/j.pmedr.2021.101559}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265008}, year = {2021}, abstract = {Emotion-motivation models propose that behaviors, including health behaviors, should be predicted by the same variables that also predict negative affect since emotional reactions should induce a motivation to avoid threatening situations. In contrast, social cognitive models propose that safety behaviors are predicted by a different set of variables that mainly reflect cognitive and socio-structural aspects. Here, we directly tested these opposing hypotheses in young adults (N = 4134) in the context of COVID-19-related safety behaviors to prevent infections. In each participant, we collected measures of negative affect as well as cognitive and socio-structural variables during the lockdown in the first infection wave in Germany. We found a negative effect of the pandemic on emotional responses. However, this was not the main predictor for young adults' willingness to comply with COVID-19-related safety measures. Instead, individual differences in compliance were mainly predicted by cognitive and socio-structural variables. These results were confirmed in an independent data set. This study shows that individuals scoring high on negative affect during the pandemic are not necessarily more likely to comply with safety regulations. Instead, political measures should focus on cognitive interventions and the societal relevance of the health issue. These findings provide important insights into the basis of health-related concerns and feelings as well as behavioral adaptations.}, language = {en} }