Introduction: The aim of this study was to assess the level of burnout syndrome among primary healthcare professionals in Canton Sarajevo and whether there is a link between the levels of burnout syndrome and sociodemographic parameters. Methods: We included a total of 300 primary healthcare professionals. The burnout syndrome level was measured by Maslach Burnout Inventory, consisting of 22 particles (3 subscales) measuring the level of emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). We analyzed the correlation and difference between the level of burnout and sociodemographic parameters. Results: The study revealed that in Canton Sarajevo 25.3% of healthcare professionals experience a high level of EE, 17.7% experience DP, and 19.0% experience a low level of PA. The subjects under 40 years experienced a higher level of EE than older subjects (p=0.000). There were significant differences in PA subscale between men and women (p=0.033), women having lower level of PA than males. Respondents who worked in shifts and respondents with indefinite period employment experience significantly a high level of EE. Subjects who drink alcohol had a higher level of DP. Conclusion: Healthcare professionals are at increased risk of burnout. Factors which increase the burnout syndrome risk in health professionals in Sarajevo Canton were: age under 40 years old, female, working in shifts and drinking alcohol.

No abstract

<p><strong>Objectives.</strong> The aim of this research was to detect the presence of depressive symptoms among the student population at a Faculty of Medicine, as well to determine the correlation between the socio-demographic characteristics and students’ lifestyle and depressive symptoms.</p><p><strong>Subjects and Methods. </strong>Of 800 students enrolled and asked to participate, 412 responded to the survey. The study included Students from all 6 years of studies. The degree of depressive symptoms was measured by a 21-item revised form of the Beck Depression Inventory (BDI). We built bivariate logistic regression models to study whether age, gender, housing accommodation, year of medical training, and school success status (Grade Point Average - GPA) were associated with depressive symptoms. The results are reported as odds ratios (OR) with 95% confidence intervals (CI).</p><p><strong>Results</strong>. The study revealed that almost one third of students reported BDI &gt;16 (30.1%). The present study did not find any association between BDI scores and study year or age difference, but we found that there was an association between housing accommodation and depressive symptoms. Students who lived with their parents had lower BDI scores than those who lived in a dormitory. The results of this study showed there is a negative correlation between physical activity and depressive symptoms in students, as well as that there is a positive correlation between depressive symptoms and substance abuse.  </p><p><strong>Conclusion</strong>. Overall, our study confirms that the factors associated with an increase in medical students’ depressive symptoms are housing accommodation, a lack of  physical activity and substance abuse. Regarding failing a year of study at the medical school, as well as gender and age differences, we did not find any significant difference between students with higher compared to those with lower depressive symptoms.</p>

&lt;p&gt;&lt;strong&gt;Aim&lt;br /&gt;&lt;/strong&gt; To examine the relationship of protective factors (self-esteem, optimism, proactive coping), and a measure of psychological resistance in women diagnosed with breast cancer, and the contribution of protective factors in explaining the criterion of posttraumatic growth. &lt;br /&gt;&lt;strong&gt;Methods&lt;/strong&gt; &lt;br /&gt;The study included 100 women diagnosed with breast cancer. To examine optimism the Scale of Dispositional Optimism and Pessimism, the Scale of Self-esteem for self-esteem and the Scale of Proactive Coping for proactive coping were used. The posttraumatic growth measured five factors: relating to others, new possibilities, personal strength, spiritual changes, appreciation of life. &lt;br /&gt;&lt;strong&gt;Results&lt;br /&gt;&lt;/strong&gt; Self-esteem, optimism and proactive coping were associated with posttraumatic growth and its factors: new possibilities, personal strength, appreciation of life. Optimism and proactive coping positively corelated also with relating to others. Final model of posttraumatic growth in all three steps (self-esteem, optimism, proactive coping) explained 20.4% variability of the posttraumatic growth total score. &lt;br /&gt;&lt;strong&gt;Conclusion&lt;br /&gt;&lt;/strong&gt; Posttraumatic growth does not mean a decrease in trauma, but leads to a change in the perception and view of life. It refers to more favourable management and use of its own resources, relying on its own strengths and capabilities, identifying new opportunities and connecting with others.&lt;/p&gt;

No abstract