Interpersonal Emotion Regulation and Psychological Distress: What Is the function of Negative Mood Regulation Expectancies in This Relationship?

Ray-Yol, Elcin; Altan‐Atalay, Ayşe

doi:10.1177/0033294120968086

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…The indirect associations of perspective-taking and social modeling with social anxiety through NMRE were not significant. A similar pattern of results was documented in a study conducted by Ray-Yol and Altan-Atalay ( 2020 ), which reported that NMRE did not significantly mediate the relationship between IER strategies and psychological distress except for soothing. Ray-Yol and Altan-Atalay ( 2020 ) argued that both perspective-taking and social modeling may potentially provide individuals an opportunity to acquire emotion regulation skills.…”

Section: Discussionsupporting

confidence: 86%

“…A similar pattern of results was documented in a study conducted by Ray-Yol and Altan-Atalay ( 2020 ), which reported that NMRE did not significantly mediate the relationship between IER strategies and psychological distress except for soothing. Ray-Yol and Altan-Atalay ( 2020 ) argued that both perspective-taking and social modeling may potentially provide individuals an opportunity to acquire emotion regulation skills. In other words, when one experiences a stressful situation, approaching others to get their opinion (perspective taking) and observing others to learn how they cope with negative feelings (social modeling) may not undermine one’s expectancies of own coping skills.…”

Section: Discussionsupporting

confidence: 86%

“…NMRE) and contribute to the maintenance of social anxiety symptoms. Following similar reasoning, Ray-Yol and Altan-Atalay ( 2020 ) investigated the role of NMRE in the IER–psychological distress relationship. They found that NMRE have a mediating role in the relationship between the soothing dimension of IER and psychological distress.…”

Section: Introductionmentioning

confidence: 97%

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Exploring the Relationship Between Interpersonal Emotion Regulation and Social Anxiety Symptoms: The Mediating Role of Negative Mood Regulation Expectancies

Akkuş

Peker

2021

Cogn Ther Res

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Background This study aimed to investigate the relationship between interpersonal emotion regulation (IER) and social anxiety symptoms and the mediating role of negative mood regulation expectancies (NMRE). We hypothesised that IER is positively associated with social anxiety symptoms, controlling for depression and intrapersonal emotion regulation strategies of suppression and reappraisal, and NMRE mediate this relationship. Methods Study 1 was conducted with a student sample ( N = 400) and Study 2 included a community sample with 271 participants. Results Study 1 showed that, of four IER strategies, soothing and social modeling were positively, and perspective-taking was negatively related to social anxiety symptoms controlling for depression, suppression and reappraisal. Study 2 replicated these findings and extended them by showing the mediated relationship between the two IER strategies (i.e. enhancing positive affect and soothing) and social anxiety symptoms through NMRE. Conclusions The results contribute to the limited research on IER by portraying its relationship with social anxiety symptoms and revealing the mediating role of NMRE in this relationship.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 86%

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Exploring the Relationship Between Interpersonal Emotion Regulation and Social Anxiety Symptoms: The Mediating Role of Negative Mood Regulation Expectancies

Akkuş

Peker

2021

Cogn Ther Res

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“…Limited studies have investigated the relationship between IER and stress, and no one has addressed the role of mediators in this relationship. Current research is aimed at exploring the role of the prospective cognitive test, which is defined as an individual's confidence in the effectiveness of his or her cognitive skills when combined with difficult emotions [ 6 ]. Stress is one of the psychological reactions that accompany users.…”

Section: Related Workmentioning

confidence: 99%

Radial Neural Network Processing Applied to Athlete’s Personalized Psychological Regulation Detection System

Wang

2022

BioMed Research International

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Radial neural network is based in the world with the characteristics of active adaptation, active learning, active recognition, low error rate, and thought mapping and plays an important role in personalized regulation. However, in practical applications, due to the existence of pattern recognition, motion control, and a large amount of combined knowledge, the traditional methods are difficult to solve, even powerless, and cannot be effectively solved. Although the traditional BP network is more widely used, the BP neural network is easy to enter the regional minimum value during the training process, which leads to a lower training learning speed and low efficiency. The RBF network (radial neural network) is in a certain sense, and it can detect both known intrusions and unpredictable intrusions. At the same time, it is superior to BP neural network in data collection, pattern recognition, and personality customization. Through detection and comparison, it is found that the radial network has improved the analysis speed by about 20%, and the degree of privacy protection of athletes is as high as 99%, which is close to the full value, and the accuracy of the psychological control scheme is also improved by about 15% on the basis of the classic network. Athletes can be adjusted as soon as possible to achieve the best state; so, it will be an ideal choice to use a radial neural network for the psychological adjustment detection system.

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“…Depression has been described as an "autoregulatory disorder", perhaps more accurately described as an "inability to care for others" [8][9][10]. This "capacity to care for others" actually refers to the emotional capacity.…”

Section: Introductionmentioning

confidence: 99%

Emotion Regulation in Depression of Physical Achievement Based on Machine Learning

Bian,

Liu

2023

J. Comb. Math. Comb. Comput.

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Depression is a clinical disease, mainly accompanied by mood or emotional abnormalities, mainly depression, slow thinking, often accompanied by emotional abnormalities, cognitive behavior, psychophysiological and interpersonal changes or disorders. Here, using static and task-state MRI data, we present a comprehensive study of abnormal neural activity in patients with depression through spatiotemporal, static, and dynamic measures, demonstrating its validity as an underlying biological trait. In order to effectively study the role of emotion regulation in depression, a brain dynamic network synthesis method based on support vector machine model and community detection algorithm was established. We selected data on the mental state of 45 patients from a hospital’s psychiatric disease control center. They had no history of hearing impairment and normal (or corrected) vision. All procedures are agreed in writing by each participant. The results show that this method can effectively reduce the depression degree of the subjects, and the multi-level features of the integration of task activation and task regulation connection reach 81% ( < 0.0010, surrogate test) and 83% (<0.0016, surrogate test), respectively. The recovery of its depressive psychological state has a significant impact. Numerous studies have used various forms of emotional stimuli to reveal abnormal behaviors and neural responses in multi-channel emotional processing in patients with depression, providing valuable insights into the mechanism of multi-channel emotion regulation in depression.

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Interpersonal Emotion Regulation and Psychological Distress: What Is the function of Negative Mood Regulation Expectancies in This Relationship?

Cited by 8 publications

References 32 publications

Exploring the Relationship Between Interpersonal Emotion Regulation and Social Anxiety Symptoms: The Mediating Role of Negative Mood Regulation Expectancies

Exploring the Relationship Between Interpersonal Emotion Regulation and Social Anxiety Symptoms: The Mediating Role of Negative Mood Regulation Expectancies

Radial Neural Network Processing Applied to Athlete’s Personalized Psychological Regulation Detection System

Emotion Regulation in Depression of Physical Achievement Based on Machine Learning

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