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Addiction in university students – determining the levels of cigarette, alcohol, substance, game, and Internet addiction

100%
Korkmaz Aslan T., Batı S.
European Journal of Clinical and Experimental Medicine
|
2023
|
issue 1
58-67
EN
Introduction and aim. This study aims to determine the average addiction levels of university students and the effects of different demographic variables on addiction levels and types. Material and methods. The study included 783 volunteer students in the Seydişehir campus of Necmettin Erbakan University. Data were collected face-to-face using Sociodemographic Information Form, Fagerström Test for Nicotine Dependence (FTND), Cut-off test (CAGE), Digital Game Addiction Scale (DGAS-7), and Internet Addiction Test (IAT). Results. Of the students, 27.7% were using tobacco, 14.8% were using alcohol, 2.6% were using ecstasy, 2.3% were using cannabis, 1.4% were using inhalants, 1% were using pills. FTND, DGAS-7, and IAT mean scores were 3.80±2.55, 12.04±5.57, and 43.56±15.73, respectively, and 21.5% had risky alcohol use. Also, 2.2% were game addicts, 3.8% were internet addicts. Digital game addiction, internet addiction, and nicotine addiction were positively correlated. There was no significant relationship between nicotine and internet addictions. Individuals with risky alcohol use had higher rates of nicotine addiction. Conclusion. Students’ addiction rates were similar to the country in general. Addictions gained in the youth years continue in the following years and bring many health problems. Therefore, it is crucial to include the subject of combating addiction more in university education and increase studies on the subject.
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Factors affecting work-life balance and psychological resilience levels of nurses working in internal clinics during COVID-19

81%
Korkmaz Aslan T., Burucu R., Akdoğan Y.
European Journal of Clinical and Experimental Medicine
|
2023
|
issue 3
506-512
EN
Introduction and aim. COVID-19 intensity has affected both the psychology of the nurses and the balance established between their work and social lives. In this study, it was aimed to examine the work-life balance and psychological resilience levels of nurses. Material and methods. Four Hundred and seventy two nurses, working in various hospitals and internal units in Turkey, voluntarily participated in the study. Data was collected online using the Work-Life Balance Scale, Brief Psychological Resilience Scale, and the Personal Information Form. Results. The sub-dimensions of the work-life balance scale include allocation of time for yourself (β=1.892; p<0.001), life merely being based on work (β=-0.513; p<0.05) and work-life balance; affect the psychological resilience score (β=-0.364; p<0.05). Based on this, devoting time for yourself has a positive effect on psychological resilience, while others have a negative effect. The total score of the nurses on work-life balance is 51.51±7.22 and their psychological resilience score is 15.27±3.93. Conclusion. Psychological resilience is affected by educational status, marital status, having children, and working schedule; work-life balance is affected by educational status, marital status, having children, income levels, and working schedule; while work-life balance sub-dimensions are affected by education, marital status, having children, income levels, place of work and working schedule. Both work-life balance and its sub-dimensions affect the psychological resilience of nurses.
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