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Abstract

 

Background & aim: Poor quality sleep is very common in modern societies and has a significant negative impact on psychological and physiological Dimensions. The purpose of the present study was to investigate correlational relationships and draw up a positive and negative affect mediation model between the difficulty in regulation of emotion and quality of sleep.

 

Methods: In this descriptive-correlational study, the participants of the study were selected through multi-stage cluster sampling. Then, the difficulty questionnaire was distributed in emotion regulation, affective and negative and sleep quality among the participants . Collected data was analyzed for descriptive, correlation, structural equation modeling to investigate the research objectives.

 

Results: The results showed that there was a significant positive correlation between the difficulty components of emotion regulation and negative emotion with poor sleep quality and positive correlation between positive affection and high sleep quality (p <0.01). Also, the pattern of structural equation modeling indicates the role of mediating positive and negative affects in the relationship between the difficulty in regulation of emotion and sleep quality .

Conclusions: The results supported the hypothesis that the difficulty in regulation of emotion interferes with the quality of sleep, and positive affection can have a moderating role in this regard.

 

 

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Background & aim: The influential consequences of war on mental health, well-being, and the quality of life of veterans and their families continue long after the end of the war. The purpose of the present study was to determine the role of mediators of positive and negative emotions in the relationship between difficulty in regulating emotion and quality of life in the spouses of veterans.
 
Methods: The present study was a descriptive-analytical study of correlational designs that used structural equation modeling or causal modeling. The statistical population included all the spouses of veterans of Noorabad, Mamasani, among whom 215 people were selected by available sampling method considering the entry and exit conditions of the research. The tools used included a positive and negative emotion program, a quality of life scale, and a scale of difficulty in regulating emotion. Data analysis was performed using Pearson correlation coefficient and structural equation modeling. Indirect relationships were also analyzed by the bototherapy method.
 
Results: The results revealed that all the coefficients of the paths between the variables and the quality of life were significant. In this model, the relationship was difficult to regulate emotionally with a negative and significant quality of life. There was also a significant relationship between difficulty in regulating emotion and positive and negative emotions with quality of life (p <0.001). Fitness indicators displayed that the model had acceptable fit with the data. Fitness indicators showed that the model has acceptable fit with the data. The results of indirect path coefficients, using bootstrap method, showed that the difficulty in regulating emotion indirectly and through positive and negative emotions with the quality of life of veterans' spouses.
 
Conclusion: The research model indicated a suitable and acceptable fit with the obtained data and the assumed structural relationships were confirmed. Based on the results, the difficulty in regulating emotion can be predicted through positive and negative emotions with quality of life in veteran spouses.