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Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style
SJ. Eder, AA. Nicholson, MM. Stefanczyk, M. Pieniak, J. Martínez-Molina, O. Pešout, J. Binter, P. Smela, F. Scharnowski, D. Steyrl
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2010
Free Medical Journals
od 2010
PubMed Central
od 2010
Europe PubMed Central
od 2010
Open Access Digital Library
od 2010-01-01
Open Access Digital Library
od 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
- Publikační typ
- časopisecké články MeSH
The COVID-19 pandemic along with the restrictions that were introduced within Europe starting in spring 2020 allows for the identification of predictors for relationship quality during unstable and stressful times. The present study began as strict measures were enforced in response to the rising spread of the COVID-19 virus within Austria, Poland, Spain and Czech Republic. Here, we investigated quality of romantic relationships among 313 participants as movement restrictions were implemented and subsequently phased out cross-nationally. Participants completed self-report questionnaires over a period of 7 weeks, where we predicted relationship quality and change in relationship quality using machine learning models that included a variety of potential predictors related to psychological, demographic and environmental variables. On average, our machine learning models predicted 29% (linear models) and 22% (non-linear models) of the variance with regard to relationship quality. Here, the most important predictors consisted of attachment style (anxious attachment being more influential than avoidant), age, and number of conflicts within the relationship. Interestingly, environmental factors such as the local severity of the pandemic did not exert a measurable influence with respect to predicting relationship quality. As opposed to overall relationship quality, the change in relationship quality during lockdown restrictions could not be predicted accurately by our machine learning models when utilizing our selected features. In conclusion, we demonstrate cross-culturally that attachment security is a major predictor of relationship quality during COVID-19 lockdown restrictions, whereas fear, pathogenic threat, sexual behavior, and the severity of governmental regulations did not significantly influence the accuracy of prediction.
Department of Cognition Emotion and Methods in Psychology University of Vienna Vienna Austria
Department of Psychology Jan Evangelista Purkyně University in Ústí nad Labem Ústí nad Labem Czechia
Faculty of Psychology University of Barcelona Barcelona Spain
Faculty of Science Charles University Prague Czechia
Institute of Psychology University of Wrocław Wrocław Poland
Zürich Center for Integrative Human Physiology University of Zürich Zurich Switzerland
Citace poskytuje Crossref.org
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