BRAIN. Broad Research in Artificial Intelligence and Neuroscience

Volume: 17 | Issue: 1 |

Early Maladaptive Schemas and Attachment Styles in Emerging Adults – A Correlational Study

Published March 19, 2026
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Cristian Manea - Titu Maiorescu University, Bucharest (RO), Teofil Panc - Titu Maiorescu University, Bucharest (RO), Dana Rad - Aurel Vlaicu University of Arad (RO), Zorica Triff - Technical University of Cluj-Napoca; Northern University Center of Baia Mare (RO), Mona Bădoi-Hammami - Ovidius University of Constanta (RO), Mihaela Neacșu - National University of Science and Technology Politehnica Bucharest (RO), Corina Colareza - Titu Maiorescu University, Bucharest (RO), Gheorghe Mihai Bănariu - Transilvania University of Brașov; Ovidius University of Constanta; Romanian ForensicScientist Association (RO),

Abstract

This study examines the relationship between early maladaptive schemas and attachment styles in emerging adulthood, within the theoretical frameworks of schema therapy (Young, 1990; Young et al., 2003) and attachment theory (Bowlby, 1969). Using a non-probabilistic sample of 170 participants (equally distributed by gender), Pearson correlation analyses revealed significant associations between schemas and attachment styles. Anxious attachment was positively correlated primarily with vulnerability, dependence, and subjugation, highlighting the role of threat anticipation and increased need for reassurance (Rad et al. (2025). Secure attachment was negatively correlated with strong negative correlations with defectiveness/shame, social isolation, failure, and vulnerability, confirming its protective function. Disorganised attachment was the most sensitive to schema activation, showing positive correlations with a broad spectrum of maladaptive patterns. Avoidant attachment was weakly associated with classical schemas and was modestly associated with unrelenting standards. Gender differences were observed primarily in attachment styles and vulnerability.

Academic discipline and sub-disciplines: Psychology; Neuroscience; Cognitive Sciences

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DOI: http://dx.doi.org/10.70594/brain/17.1/29

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