Background/Aim: Mortality rates of Coronavirus Disease 2019 are increased in patients with chronic diseases such as diabetes mellitus (DM) and hypertension (HT). For this reason, some restrictions and lockdown measures were brought to these patients during the pandemic period, which may have disrupted their mental wellbeing. We aimed to investigate the relationship between the changes in the frequency of admissions of patients with DM, HT, DM+HT to the hospital during the pandemic and their perceived stress, health anxiety, general anxiety, and depression levels, and the change in stress burden experienced by disease type. This study intends to reveal the psychological problems that may develop due to the COVID-19 pandemic in DM, HT, and DM+HT patients and raise awareness. Methods: DM, HT, and DM+HT patients admitted to Internal Medicine Outpatient Clinic between 01.12.2020-01.02.2021, and healthy volunteers who accepted to participate were included in this prospective cross-sectional study. Patients who did not match the age range, had additional comorbidities besides DM and HT, were treated for psychiatric disease, or were pregnant, and those who did not give consent were excluded. After a psychiatric interview was performed, the participants were asked to fill in the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Perceived Stress Scale (PSS), and Health Anxiety Scale (HAS). The effects of the COVID-19 pandemic on the frequency of admissions and perceived stress, health anxiety, general anxiety, and depression levels, and the change in stress burden experienced by disease type were examined. Results: There was a significant difference in all scales used between the patient groups and the healthy control group (HAS P<0.001, BDI P<0.001, BAI P=0.002, PSS P=0.001). There was a significant decrease in the frequency of admission to the outpatient clinics among DM + HT patients (P=0.002). The mean duration of disease was lower in individuals whose frequency of admission to the outpatient clinic decreased (P=0.006). Patients with a family history of COVID-19 had significant decreases in the frequency of admission to the outpatient clinic (P<0.001) and had significantly disrupted medical treatment (P=0.007). Conclusion:Patients with DM and HT, a short duration of chronic diseases, and history of COVID-19 infection in their families are more prone to be affected psychologically, and patients who are more psychologically affected refer less to the outpatient clinic. It is essential to continue treatment in consultation with psychiatry if DM and HT patients presenting to the outpatient clinic have one or more of these risk factors.

It was aimed to determine the level of psychological resilience and to investigate the psychological and clinical parameters that affect the resilience level in migraine patients. Patients and Methods: A total of 100 migraine patients and 100 healthy controls who agreed to participate in the study filled in the sociodemographic data form and also Beck Anxiety Scale, Beck Depression Scale, Psychological Resilience Scale for Adults, Perceived Stress Scale, Stress Coping Styles Scale, and Psychological Well-Being Scale. Also, the results of Migraine Disability Assessment Scale (MIDAS) were recorded in order to determine the clinical parameters of migraine patients. Results: When the migraine patients were examined in terms of the number of painful days in the last 3 months, duration of illness, and correlations between clinical scales, there were statistically significant correlations between the psychological resilience scale and well-being (r=0.691 p<0.001), positive coping styles (r=0.676 p<0.001), Beck depression scale (r=−0.670 p<0.001). Conclusion: Self-confident approach, social support-seeking approach, and level of psychological well-being predict psychological resilience in migraine patients. Interventions aiming to increase the level of psychological resilience, which is negatively correlated with depression, are expected to increase the quality of life of patients with migraine.

OBJECTIVE: While Internet use makes life easier in many areas, the negative consequences associated with excessive and frequent Internet use increases. Meanwhile, research on the negative psychosocial consequences of frequent and uncontrolled use of social media, which constitutes most of the time spent on the Internet, also draws attention. The aim of this study is to examine the relationship between Internet Addiction (IA), Problematic Social Media Use (PSMU), depression, anxiety, and sociodemographic characteristics in a cross-sectional student population.MATERIAL AND METHODS: A total of 196 Medical Faculty students (62.2% female, mean age 21.33 ± 1.92 y) who completed the Social Media Disorder Scale (SMDS), the Internet Addiction Test (IAT), and the Hospital Anxiety and Depression Scale (HAD) participated in our study.RESULTS: The results showed that %26.5 participants had moderate IA and PSMU scores (OR: 1.276, %95 CI: 1.187-1.372) and lack of regular sportive activity (OR: 3.003, %95 CI: 1.107-8.144) were risk factors for IA. Multiple linear regression analysis showed that IA was predicted independently by PSMU scores (%49 variances) and anxiety (%6 variances).CONCLUSIONS: The results of our study showed that excessive use of social media and anxiety were significantly associated with IA in young adults. In addition to the contribution of regular sports habits to physical health, better clarification of its relationship with important psychiatric problems such as anxiety and addiction may contribute to addiction prevention programs.

Objective: This study was conducted to determine the levels of self-compassion, psychological well-being and self-esteem in patients with depression and anxiety disorders and the relationship between them. Methods: 100 depression, 100 anxiety disorder patients who applied to XXXX Psychiatry outpatient clinic and agreed to participate in the study voluntarily and 100 healthy controls were included in the study. Sociodemographic data form, Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Psychological Well-Being Scale (PWBS), Self-Compassion Scale (SCS) and Rosenberg Self-Esteem Scale (RSES) were applied to the participants. Results: According to the findings of the scales applied to all groups, there was a statistically significant difference between the groups in terms of well-being, self-esteem, and self-understanding (p

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