Introduction. Most students experience some level of anxiety during the exam. However, when anxiety affects the exam performance, it represents a problem. Test anxiety is a special form of anxiety, which is characterized with somatic, cognitive and behavioral symptoms of anxiety in situations of preparing and performing tests and exams. Test anxiety turns into a problem when it becomes so high that it interferes with test preparation and performance. The objective of this study was to ascertain the presence of test anxiety in medical students and to analyze some aspects of test anxiety in medical students of different gender, at different years of studying and possibility of failing a year. Material and methods. The study sample consisted of 198 students of Belgrade University School of Medicine of all years. Test anxiety was assessed by the Test Anxiety Inventory. Results. The following results have been obtained in the study: 1. Medical students generally present moderate level of test anxiety; 2. female students have statistically significant more intense symptoms of test anxiety than male students; 3. the most intense symptoms are in the 3rd year and the least are in the 4th year of studies; 4. there is no statistically significant difference in the presence of symptoms of test anxiety among the students who have repeated one of the years of studies and regular students. Conclusion. There is a considerable number of medical students who have intense symptoms of test anxiety and these students require help and support.

Smartphones are a medium for performing online activities, and one such activity could be the compulsive online health information search — cyberchondria. This study aimed to test whether cyberchondria and intolerance of uncertainty (IU) positively predict smartphone addiction (SA), adjusted for age, gender, daily use duration, the reason for using smartphones, and symptoms of anxiety and depression. The sample consisted of 471 adults (55.2% women) from the general population without chronic diseases (M_age = 38.67). Regression analysis showed that IU was a positive predictor of SA (β = .17, p < .001), as well as cyberchondria (β = .14, p < .001), which had a unique contribution to the explanation of SA, relative to IU. Other significant predictors were average daily smartphone use and entertainment use, the latter being the strongest predictor in the model. These results revealed cyberchondria as a unique predictor of SA.

We compared female and male patients with panic disorder with agoraphobia (PDA) in terms of characteristics of agoraphobia (AG). Ninety‐five patients (73 women and 22 men) with the SCID‐based diagnosis of PDA were administered the National Institute of Mental Health Panic Questionnaire (NIMH PQ), and women and men were compared on the items of the NIMH PQ that pertain to AG and symptoms of panic attacks. Male and female patients did not differ significantly with respect to demographic characteristics, age of onset of panic disorder and AG, duration of PDA, and severity and frequency of symptoms experienced during panic attacks. Women avoided more situations than did men, but this difference was not statistically significant. Women avoided buses and being in unfamiliar places alone significantly more often. The only situation that was avoided more often by men, although not significantly, was staying at home alone. Women were significantly more likely to stay at home to avoid agoraphobic situations and significantly less likely to go outside of home alone. When going outside, women required a companion significantly more often. There were significantly more married women than married men who required a spouse as a companion, and significantly more women with children than men with children who required a child as a companion. Women thought that AG had affected the overall quality of their lives significantly more adversely. Whereas the overall “profile” of agoraphobic situations does not seem to distinguish between female and male patients with AG, females may be more impaired and appear more dependent than men in terms of requiring companions to move outside of the home. Cultural and psychological factors may be most likely to account for these findings. Depression and Anxiety 8:8–13, 1998.

Introduction: This paper aims to examine the frequency and significance of diagnostic comorbidity of psychiatric disorders and somatic diseases in a sample of patients with depression as well as present current psychopharmacological treatment of the patients in the sample. Methods: The subjects in this study sample were 489 patients from the four Western Balkan countries with current primary diagnosis of major depression according to ICD 10. Comorbid psychiatric disorders and non-psychiatric illnesses were noted according to ICD 10 criteria during the diagnostic interview and analysed later. Additionally, the pharmacological treatment (existing and newly introduced) for each patient was noted and analysed later. Results: At least one comorbid psychiatric disorder was present in 72.5% of patients. The most frequent were anxiety disorders (53.6%), specifically generalized anxiety disorder (20.2%); non-organic sleep disorders (50.7%), specifically insomnia (48.4%); and sexual dysfunctions (21.4%), specifically lack of sexual desire (20.2%). Comorbidity with any non-psychiatric illness was present in 80.3% of patients. The most frequent were circulatory system diseases (55.9%), specifically hypertension (45.9%); endocrine, nutritional and metabolic disorders (51.3%), specifically hyperlipidaemia (24.0%); and other non-psychiatric disorders (60.7%), specifically low back pain (22.7%). All patients received pharmacological treatment with different medications. Most patients received monotherapy or combination therapy of antidepressants, anxiolytics, antipsychotics and antiepileptics. The most frequently used antidepressants were escitalopram, sertraline, and duloxetine. The most frequently used anxiolytics were alprazolam and diazepam, the most used antiepileptic was pregabalin, and the most used antipsychotics were olanzapine, quetiapine, and aripiprazole. Conclusion: The results of the study confirm the results of previous research studies about the high prevalence of psychiatric and non-psychiatric comorbidities in patients with depression that were conducted in the past. It would be important if future studies could prove the importance of those comorbidities on clinical severity, choice of treatment, and its outcome in patients with depression.

Students are particularly vulnerable from the mental health aspect, which was especially recognized during the COVID-19 pandemic. This study aimed to reveal the impact of COVID-19 on quality of life (QoL) and mental health among dental students. The study was conducted on a sample of 797 students (207 male and 592 female) with an average age of 21.7 ± 2.4, from the School of Dental Medicine, University of Belgrade. The measurements used in the study were the Demographic and Academic Questionnaire, Questionnaire about exposure to COVID-19, COVID-19-Impact on QoL Questionnaire (COV19-QoL), Generalized Anxiety Disorder 7-item (GAD-7) scale, and Patient Health Questionnaire (PHQ-9). The mean total score for COV19-QoL was 2.9 ± 0.9, while the diagnostic criteria of GAD-7 and depression met 19.9% and 31.4% of students, respectively. There was a positive and strong correlation between QoL, anxiety, and depression. During COVID-19, predictors for lower perceptions of QoL were female gender and death of close relatives (p = 0.049, p = 0.005, respectively). At the same time, predictors for GAD were female gender, living in dormitories, and death of close relatives (p = 0.019, p = 0.011, p = 0.028, respectively), while for depression they were year of study, living with parents, and death of close relatives due to COVID-19 (p = 0.012, p = 0.008, p = 0.029, respectively). The study showed that students’ QoL and mental health during the pandemic were at high risk.