Objective: Emotion dysregulation, negative affects, and aggression can affect each other. This study aimed to demonstrate the role of the negative effects and emotion dysregulation in aggressio. Methods:The statistical population was Kharazmi University students that 280 of them were selected by random multiphasic sampling method. The study instruments were Buss-Perry aggression questionnaire, the short form of cognitive emotion regulation questionnaire and positive affect and negative affect scale. The Pearson correlation, Student t test, and hierarchical regression tests were used to analyse the data.Results: Gender, negative affect and maladaptive emotion regulation strategies (rumination, catastrophizing, and others blaming) were correlated with aggression. After controlling for gender and negative affect, maladaptive emotion regulation explained only 0.029% of the aggression variance and in this case and negative affect could explain 11.4% of its variance. Furthermore, by controlling for gender and negative affect, others blaming and catastrophizing strategies could explain 0.077% of the aggression variance. Conclusion:This study demonstrates the more important role of negative affect in predicting aggression. It seems that efficient methods to improve mood state can be helpful in aggression reduction.
Background and Objective: Anxiety disorders are usually accompanied with sleep disorders. Since limited studies have focused on the effectiveness of mindfulness-based cognitive therapy (MBCT) on anxiety-related problems such as sleep disorders, the current research was conducted to investigate the effectiveness of this intervention on sleep problems. Materials and Methods: This study was a clinical trial with control and treatment groups. The sample consisted of 24 university students diagnosed with social anxiety disorder (SAD). Social Interaction Anxiety Scale (SIAS) and Pitts-burgh Sleep Quality Index (PSQI) were used to assess the dependent variables. There were measurements during pre-test, post-test, and follow-up stages. Results: The treatment could significantly improve the anxiety and sleeping problems in patients with social anxiety. Assessing the aspects of sleep quality showed that the intervention could improve the subjective aspects, latency, dis-turbance, and daily dysfunctions of sleep effectively; however, there was no significant effect on the duration of sleep, taking sleep medications, or sleep efficiency. Conclusion: Mindfulness treatment could be used for improving sleep quality in patients with social anxiety. This treatment could also improve the aspects of sleep quality which are related to sleep threshold.
Objectives: Despite the studies that examined the effect of exercise and meditation on depression and anxiety, no meta-analysis has proved this effect so far. Also, the effect of these factors is unknown in terms of gender and aerobic exercise. This meta-analysis addressed these gaps. Methods: Major electronic databases, including PubMed, Web of Science, and Embase, were searched until July 2019. Studies addressing the effect of exercise and meditation on depression and anxiety were found. Q-test and I2 statistic investigated the heterogeneity across the studies. The probability of publication bias was explored using Begg's and Egger's tests. The results were expressed as the Standardized Mean Difference (SMD) with a 95% confidence interval using a random-effects model. Results: We identified a total of 10015 references and 51 studies involving 3594 participants. Compared with the control group, the SMD estimate of anxiety was -0.7 (-1.20, -0.19) for meditation, -0.9 (-1.24, -0.57) for aerobic, and -1.07 (-1.67, -0.46) for other exercises. Also, the SMD estimate of depression was-0.84 (-1.26, -0.42) for meditation, -0.44 (-0.72, -0.17) for aerobic, and -1.10 (-1.55, -0.65) for other exercises. Conclusion: Exercise and meditation had a significant effect on depression and anxiety. Furthermore, there was an effect of the exercise and meditation on depression and anxiety regarding the female gender and aerobic exercise.
Objectives: Despite the existence of studies that associated effect of exercise and meditation on depression and anxiety, there was no meta-analysis to date, that can prove this effect definitely. Also, the effect of these factors by gender and aerobic exercise are unknown. This gap was addressed by this meta-analysis. Methods: Major electronic databases, including PubMed, Web of Science, and Embase were searched until July 2019. Studies addressing the effect of exercise and meditation on depression and anxiety were enrolled. The heterogeneity across studies was investigated by Q-test and I2 statistic. The probability of publication bias was explored using Beggchr('39')s and Eggerchr('39')s tests. The results were expressed as the standardized mean difference (SMD) with 95% confidence intervals (CI) using a random-effects model. Results: We identified a total of 10,015 references and included 51 studies involving 3,594 participants. Compared control group, the SMD estimate of anxiety was -0.7 (-1.20, -0.19) for meditation, -0.9 (-1.24, -0.57) for aerobic, -1.07 (-1.67, -0.46) for other exercise, and the SMD estimate of depression was-0.84 (-1.26, -0.42) for meditation, -0.44 (-0.72, -0.17) for aerobic, and -1.10 (-1.55, -0.65) for other exercise. Conclusions: Exercise and meditation had a significant effect on depression and anxiety. Furthermore, there was an effect of the exercise and meditation on depression and anxiety by female gender and aerobic exercise.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.