• Korean Journal of Child Studies
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• v.27 no.6
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• pp.1-11
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• 2006

Analysis of the data concerning 525 middle and high school students showed that positive affect correlated positively with cognitive reappraisal strategy and with self-control but correlated negatively with expressive suppression strategy. Negative affect correlated positively with expressive suppression strategy and negatively with self-control. The group of higher positive and higher negative affect was higher than the group of lower positive and lower negative affect in cognitive reappraisal strategy. The group of higher positive and higher negative affect was higher than the group of higher positive and lower negative affect in expressive suppression strategy. The group of higher positive and lower negative affect was higher than the group of higher positive and higher negative affect in self-control.

• Journal of Korean Home Economics Education Association
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• v.21 no.2
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• pp.159-169
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• 2009

After analyzing data of 797 Middle and High School students, the results show that those using cognitive reappraisal strategies adjusted better in school life than those using expressive suppression strategies in regards to application of emotional regulation strategies. In gender differences of the application, male students adjusted better when they used cognitive reappraisal strategies in relationship with their teachers and their peers. Female students, on the other hand, adjusted better in relationship with their teachers their peers, and in academics, when using cognitive reappraisal strategies. In school year differences, middle school students who used less of emotional regulation strategies in academics, friendship and student-teacher relations adjusted better in relationship with their peers.

• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.89-102
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• 2020

This study aimed to compare the effects of two emotion regulation strategies, namely, cognitive reappraisal and expressive suppression in female college students. Specifically, the effects of these two emotion regulation strategies were tested and the intrapersonal factors related to the effects of these strategies were explored. The participants included 60 female college students. In Study 1, 40 participants were randomly assigned to each of the two different strategy groups, i.e., a between-subject design was employed. In Study 2, 20 participants were asked to use both strategies to regulate their emotion, i.e., a within-subject design was employed. The results revealed that both emotion regulation strategies effectively reduced negative emotion of emotional stimuli. However, the use of emotion regulation assessed with a questionnaire was not matched to the actual usage of regulation strategies examined with a task. Finally, the use of a suppression strategy was related to the extroversion psychological adaptive variable. Our findings suggest that the subjective assessment of the use of an emotion regulation strategy may not be the same as the actual use of an emotion regulation strategy. Furthermore, we demonstrated that when participants have an option to use both strategies, the cognitive reappraisal is more functional than expression suppression. This concurs with the previous findings on the effects of emotion regulation strategies.

• Korean Journal of Health Psychology
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• v.15 no.3
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• pp.483-498
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• 2010

This study is to examine the effects of emotion regulation strategies in facial expressions and emotional experiences, based on the facial expressions of groups, using antecedent- and response- focused regulation. 50 female undergraduate students were instructed to use different emotion regulation strategies during the viewing of a disgust inducing film. While watching, their facial expressions and emotional experiences were measured. As a result, participants showed the highest frequency of action units related to disgust in the EG(expression group), and they reported in the following order of DG(expressive dissonance group), CG(cognitive reappraisal group), and SG(expressive suppression group). Also, the upper region of the face reflected real emotions. In this region, the frequency of action units related to disgust were lower in the CG than in the EG or DG. The results of the PANAS indicated the largest decrease of positive emotions reported in the DG, but an increase of positive emotions reported in the CG. This study suggests that cognitive reappraisal to an event is a more functional emotion regulation strategy compared to other strategies related to facial expression and emotional experience that affect emotion regulation strategies.

• Science of Emotion and Sensibility
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• v.21 no.3
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• pp.83-102
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• 2018

The process model of emotion regulation suggests that cognitive reappraisal and expressive suppression engage at different time points in the regulation process. Although multiple brain regions and networks have been identified for each strategy, no articles have explored changes in network characteristics or network connectivity over time. The present study examined (a) the whole-brain network and six other resting-state networks, (b) their modularity and global efficiency, which is an index of the efficiency of information exchange across the network, (c) the degree and betweenness centrality for 160 brain regions to identify the hub nodes with the most control over the entire network, and (d) the intra-network and inter-network functional connectivity (FC). Such investigations were performed using a traditional large-scale FC analysis and a relatively recent sliding window correlation analysis. The results showed that the right inferior orbitofrontal cortex was the hub region of the whole-brain network for both strategies. The present findings of temporally altering functional activity of the networks revealed that the default mode network (DMN) activated at the early stage of reappraisal, followed by the task-positive networks (cingulo-opercular network and fronto-parietal network), emotion-processing networks (the cerebellar network and DMN), and sensorimotor network (SMN) that activated at the early stage of suppression, followed by the greater recruitment of task-positive networks and their functional connection with the emotional response-related networks (SMN and occipital network). This is the first study that provides neuroimaging evidence supporting the process model of emotion regulation by revealing the temporally varying network efficiency and intra- and inter-network functional connections of reappraisal and suppression.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.207-217
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• 2014

Many a number of policies have been tried to reduce auto accidents so far, but it is obvious that further studies are still needed to find a more fundamental and multi-dimensional preventive measure with effect. The National Mental Health Statistics shows that the most profound forms of negative emotions, that is, depression and anxiety, have been increasing, but studies on such a topic are scarce to find. Therefore, we conducted a structural analysis between the negative emotions, including depression and anxiety, of drivers and their driving behaviors using a Structural Equation Modeling(SEM) technique. The review of past literature and studies indicated that not all of human emotions manifest themselves as the ultimate behaviors because they go through emotion regulation Strategies. For this reason, the purpose of this study was set to analyze the structural model developed in this study reflecting the emotion regulation strategies. The result of our analysis showed that the driver's negative emotion had a more significant influence on dangerous driving behaviors than safe ones, and especially, the expressive suppression strategy was found to be the highest factor. Also, the total effect analysis with the negative emotional factors showed that expressive suppression had more significant influence compared to that of cognitive reappraisal. The implication of this study might provide a better understanding on driving behaviors of the drivers and could be used as a fundamental study for future policy development to reduce traffic accidents.