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Author Spotlight: Unveiling Mechanisms of Stress Resilience - Significant Findings, Advancements, and Future Research
Published on: December 15, 2023
Resilience, Positivity and Social Support as Perceived Stress Predictors among University Students
Kamila Litwic-Kaminska1, Aleksandra Błachnio1, Izabela Kapsa2
1Faculty of Psychology, Kazimierz Wielki University, 85-867 Bydgoszcz, Poland.
Student resilience, positivity, and social support are key personal resources that help reduce perceived stress. These factors, along with gender, significantly predict stress levels, offering insights for mental health interventions.
Area of Science:
- Psychology
- Mental Health Research
- Sociology
Background:
- The COVID-19 pandemic disrupted academic life, impacting student mental health.
- Identifying personal resources to mitigate stress is crucial for student well-being.
Purpose of the Study:
- To investigate the predictive role of individual (resilience, positivity) and socio-environmental (social support, nationality) factors on perceived stress in university students.
- To understand how these factors influence mental health costs associated with academic disruptions.
Main Methods:
- Surveyed 559 university students from Poland, Serbia, and Italy.
- Utilized Perceived Stress Scale (PSS-10), Brief Resilience Scale (BRS), Positivity Scale (PS), and Interpersonal Support Evaluation List (ISEL-12).
- Employed a general linear model (GLM) for data analysis.
Main Results:
- Personal resources (positivity, resilience, social support) were positively interrelated and significantly associated with lower stress levels.
- Gender and nationality were found to differentiate stress levels.
- Resilience, positivity, tangible support, and gender were the strongest predictors of perceived stress.
Conclusions:
- Enhancing students' awareness of personal resources can bolster their mental health.
- Interventions focused on building resilience, positivity, and social support are recommended for stress prevention.
- The universality of these predictors suggests broad applicability across diverse student populations and cultural contexts.
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