Investigation of the effectiveness of Gross model-based cognitive emotion regulation training in the improvement of Love Trauma Syndrome, Hoping and Positive Affect Negative Affect among female students with love trauma.

Abstract

Background: Emotional sadness caused by the experience of the loss of a romantic relationship can lead to love trauma syndrome, which includes a set of psychopathology symptoms. The present study was also conducted to investigate the effectiveness of cognitive emotion regulation training based on the Gross model in improving the love trauma syndrome, hoping and positive affect negative affect among female students with love trauma.

Methods: The research method was experimental (pre-test and post-test with the control group). The statistical population was all the female students with love trauma at the University of Mohaghegh Ardabili and 34 participants (17 participants in each group) were selected by purposive sampling. Also, in order to determine the target sample from the Love Trauma Syndromes Inventory (LTSI-10), to implement the intervention of the cognitive emotion regulation program based on the Gross model, and to measure dependent variables in addition to the LTSI, Positive Affect Negative Affect Scale (PANAS-20) and Miller Hope Scale (MHS-48) were used. Multivariate analysis of covariance (MANCOVA) was also used for data analysis.

Results: The results showed that the assumptions (homogeneity of covariances and variances) are maintained. Also, the effect of group membership shows the significant impact of the intervention on the love trauma syndrome (p less than 0.01), negative affect (p less than 0.01), hope (p less than 0.01), and no effect on positive affect (p greater than 0.05).

Conclusions: Therefore, after identifying individuals with love trauma, the intervention of cognitive emotion regulation can be done on them in a group to reduce the symptoms of psychological harms in them and also to cognitive strategies, and to equip them for problem solving or compatibility.