Prediction of Marital Burnout based on Cognitive Distortions and Communication Patterns inMarried Women Teachers of Elementary School in Isfahan

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Aim

Marital Burnout is one of the effective factors in divorce.Since divorce can have negative effects on family members and society as a whole, this study investigated the relationship between marital Burnout based on cognitive distortions andcommunication patterns.

Methods

Research method wasdescriptive and from correlation type. The statistical populationwere all married women teachers of elementary school in Isfahan in 2017 that by using random cluster sampling 335 person were selected. To collect information was used fromCouple Burnout Scale (CBS), Cognitive Distortions and Communication Patterns Questionnaire (CPQ). The data analyzed through Pearson correlation, stepwise multipleregression and SPSS-22 software.

Results

The correlationresults showed there were a significant negative correlationbetween marital burnout with communication pattern of mutualconstructive and there were a significant positive correlationbetween marital burnout with cognitive distortions andcommunication pattern of demand / withdrawn (P< 0. 01), butthere wasnot significant negative correlation between maritalburnout with communication pattern of mutual avoidance (p> 0.05). Also regression results showed that (apart fromcommunication pattern of mutual avoidance) communicationpatterns of mutual constructive and demand-withdrawn and also cognitive distortions explain together % 33/1 of variance maritalburnout.

Conclusion

According to the findings of this study, itcan be concluded that cognitive distortions and communicationpatterns can predict marital disturbance and can be used toeducate and intervene in improving cognitive distortions andcommunication patterns as an effective way to reduce maritalmaladjustment to counselors and counselors in related affairs.Suggested to family.

Language:
Persian
Published:
Journal of Analytical - Cognitive Psychology, Volume:11 Issue: 40, 2020
Pages:
25 to 34
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