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Objective: This study aimed to explore the dynamics of the relationship among smartphone addiction, quality of life, and personality characteristics in university students. Method : This correlational and descriptive research was conducted to investigate the relationship between smartphone addiction, quality of life, and personality traits among university students. Using a nonprobability random sampling method, 496 university students were selected. Data collection involved the Student Information Form, Smartphone Addiction Scale, Symptom Checklist (SCL-90-R), Revised Eysenck Personality Questionnaire-Abridged Form (EPQR-A), and the WHO Quality of Life Scale-Short Form (WHOQOL-BREF). Statistical analysis was conducted with SPSS 25.0, utilizing Chi-square tests, independent sample t-tests, and Pearson's correlation analysis. Results: Out of 496 students (average age of 20.52), 59.87% were identified as smartphone addicts based on the Smartphone Addiction Scale-Short Version. A notable difference was found by study year (P = 0.009) and socioeconomic status (P = 0.003). Participants with smartphone addiction registered higher SCL-90-r scores for conditions like Obsessive Compulsive Disorder, Interpersonal Sensitivity, and Psychoticism. The Eysenck Personality Inventory highlighted that the Psychoticism score was significantly higher in the group with smartphone addiction (P = 0.001). A negative correlation between smartphone addiction scores and general health (WHOQoL) was identified, whereas a positive correlation with SCL-90-R's Psychoticism dimension score was observed (P < 0.001). Conclusion: Smartphone addiction is widespread among university student population. The study indicates that smartphone addiction not only impacts the individual's quality of life but also is associated with personality disorders, and these problems intensify with the severity of addiction. The findings underscore the need for interventions and educational programs to address smartphone addiction in this population.
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Objectives: This study aims to investigate the effect of childhood traumas on the disease severity in fibromyalgia and evaluate the mediating role of psychological resilience in this effect. Patients and methods: Between June 2017 and January 2018, this study included a total of 80 female patients (mean age: 31.9±4.0 years; range, 20 to 40 years) with fibromyalgia according to the 2010 American College of Rheumatology fibromyalgia diagnostic criteria. All patients were evaluated using the sociodemographic data form, Resilience Scale for Adults (RSA), Childhood Trauma Questionnaire (CTQ), and Fibromyalgia Impact Questionnaire (FIQ). Results: A positive correlation was observed between the FIQ and CTQ total scores, emotional abuse, physical abuse, and physical neglect scores. The FIQ was negatively correlated with the RSA scores. Path analysis conducted to evaluate mediating effect of psychological resilience revealed that psychological resilience had a mediator role in the correlation between FIQ and emotional abuse, physical abuse, and physical neglect scores. Conclusion: The main finding of this study is the protective effect of psychological resilience -improvable capacity to cope with early life traumas- on fibromyalgia symptoms that leads to negative functioning of several aspects.
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OBJECTIVE: The aim of this study was to investigate if the relationship between affective temperament and resilience in major depression is different in cases with and without childhood trauma. METHODS: For this purpose 100 cases with major depressive disorder (MDD) diagnosis according to DSM-IV were evaluated consecutively in their regular outpatient clinic follow-up interviews. Diagnostic interviews were done with SCID-I, affective temperament was evaluated with TEMPS-A (Evaluation of Temperament Memphis, Pisa, Paris and SanDiego-Autoquestionnaire) Temperament Questionnaire, resilience was evaluated with The Resilience Scale for Adults (RSA)-Turkish version. The presence of childhood trauma (CT) was determined by Early Trauma Inventory. RESULTS: In MDD cases without CT a correlation was present between psychological resilience and hyperthymic temperament, while there was a correlation between psychological resilience and depressive temperament in cases with CT. The relationship between depressive temperament and psychological resilience in cases with CT was observed in the perception of self, family cohesion, and social resources dimensions of psychological resilience. CONCLUSION: In depression cases with and without childhood trauma, the relationship between temperament and resilience appears to be different. According to our results psychological resilience was associated with hyperthymic temperament in depressive cases without childhood trauma, while it was associated with depressive temperament in depressive cases with childhood trauma.
