Predictors of Couple Burnout among Turkish Married Individuals

Autor: Nursel Topkaya, Ertuğrul Şahin, Cansu Terzioğulları Yılmaz, Nuray Aşantuğrul
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Behavioral Sciences, Vol 14, Iss 7, p 561 (2024)
Druh dokumentu: article
ISSN: 14070561
2076-328X
DOI: 10.3390/bs14070561
Popis: Couple burnout has been linked to several negative consequences for both individuals and couples. Identifying the factors that predict couple burnout is essential for developing effective interventions to prevent or lessen its detrimental impact on marital relationships. The aim of this cross-sectional study was to investigate sociodemographic factors, relationship self-efficacy, happiness, and self-compassion as predictors of couple burnout in Turkish married individuals. A convenient sample of 401 married individuals completed a questionnaire that comprised a Personal Information Form, Couple Burnout Measure—Short Version, Relationship Self-Efficacy Scale, Self-Compassion Scale, and Single-Item Happiness Scale. The data were analyzed using descriptive statistics, Pearson’s product-moment correlation analysis, linear multiple regression analysis, and relative importance analyses. The results of this study suggest that being women, having a higher number of offspring, and lower levels of relationship self-efficacy, self-compassion, and happiness were significant positive predictors of couple burnout among married individuals. The type of marriage, monthly income, and duration of marriage were not significant predictors of couple burnout. Moreover, the results of the relative importance analyses consistently demonstrated that happiness was the strongest predictor of couple burnout among married individuals. The research findings demonstrate the multidimensional nature of couple burnout and provide a more nuanced understanding of its predictive factors. These results have potential implications for the development of evidence-based and targeted interventions in relationship education programs.
Databáze: Directory of Open Access Journals
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