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Create free accountWhitepaperInternational Journal of Medical Research
This study examines the influence of attachment styles and resilience on the experience of loneliness among university students. Conducted in 2011 at Shahid Beheshti University in Iran, the research utilizes a correlational design to analyze how internal working models of relationships and individual coping capacities contribute to emotional and social isolation. The sample consisted of 200 students, including 132 women and 66 men, selected through multistage cluster sampling. Data collection involved standardized questionnaires measuring adult attachment styles, resilience, and three dimensions of loneliness: family relations, peer communication, and emotional symptoms.
The findings indicate that attachment styles and resilience are significant predictors of loneliness. Ambivalent and avoidant attachment styles serve as positive predictors of emotional loneliness, with the ambivalent style identified as the strongest predictor. Conversely, resilience functions as a significant negative predictor across all measured categories of loneliness, suggesting that higher levels of psychological hardiness and adaptive coping strategies mitigate feelings of isolation. Statistical analysis revealed that while both genders experience loneliness, male students reported higher levels of family-related loneliness and emotional symptoms compared to their female counterparts.
The study concludes that fostering secure attachment patterns and enhancing resilience are critical for reducing loneliness in young adults. By identifying these psychological determinants, the research provides an empirical foundation for developing targeted intervention programs, such as emotion management training and support initiatives for students. The authors note that while these results offer valuable insights into the psychological mechanisms of loneliness, the findings are limited to a student population and suggest that future research should incorporate a broader demographic and additional variables to further refine the understanding of this multidimensional phenomenon.