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BACKGROUND: COVID-19 pandemic has developed into a major public health threat. Nurses who work to combat COVID-19 are frequently under pressure. The high stresses caused by the consequences of transmission of the COVID-19 put nurses at risk of developing burnout syndrome. AIM: The purpose of this study was to evaluate the level of anxiety and burnout experienced by nurses during the COVID-19 pandemic. METHODS: This study was conducted using a cross-sectional design. An online web-based survey was used to collected data in the national sample of nurses (n = 243, response rate = 78.6%). This study used a convenience sampling technique. The Hamilton Anxiety Rating Scale and the Maslach Burnout Inventory were also employed. Multiple linear regressions were used to determine characteristics associated with burnout. RESULTS: The participants’ average age was 34.62 years (SD = 7.91). The mean anxiety score was 7.89 (SD = 2.94). The mean score of emotional exhaustion was 14.35 (SD = 7.72), the depersonalization means score was 8.81 (SD = 5.11), and the professional accomplishment mean score was 13.51 (SD = 7.51). Education and job experience had a substantial effect on emotional exhaustion and depersonalization, with R2 values of 10.8% and 18.5%, respectively. When anxiety was included in the model, the R2 for emotional exhaustion increased to 20.4% and the R2 for depersonalization increased to 22.2%, respectively. Work experience had a little effect on professional accomplishment (R2 = 10.3%) but had a much larger effect when the variable of anxiety was included in the model (R2 = 18.3%). CONCLUSION: This study revealed that during the COVID-19 epidemic, nurses experienced many emotional states, including exhaustion, depersonalization, and anxiety. Efforts should be made by governments and policymakers in this regard in better preparing health-care systems, persons, and nursing to respond to the COVID-19 pandemic in the future.

<p><strong><em>Background</em></strong><em> : Depression is one of the most common diseases among the elderly. Depression indicates disturbances in mood, physical and cognitive symptoms. Depression symptoms related to mood disorders include sadness, loss of interest in activities, worthlessness, and death, and suicidal thoughts. Early detection of depression in elderly can be noticed if the elderly have been known to possess factors that may cause depression. Yoga is a non-pharmacological therapy used to treat depression. Yoga movements consist of three stages, pranayama (breath control), asana (body temperature), and meditation (relaxation of the mind), these movements are very important to overcome stress and depression problems. </em></p><p><strong><em>Objectives</em></strong><em> : To purpose the effectiveness of yoga therapy in reducing depression in the elderly in the community. </em></p><p><strong><em>Methods</em></strong><em> : This research uses the quantitative research method with quasi-experimental  with pre-test post-test design without control. The research site was in Gedongan Village, Baki Sub district, Sukoharjo, Central Java, in March-May 2021, with a total of 47 elderly using the purposive sampling method. Inclusion criteria include 60 years old, GDS score minimum 5, no extremity disorders, and Muslim. Screening for depression employed the Geriatric Depression Scale (GDS). The media used were videos and booklets, using Islamic religious classical music and data analysis used the Wilcoxon test. </em></p><p><strong><em>Results</em></strong><em> : The average depression level of respondents during the pre-test was 8.40 while the post-test decreased to 4.77 or a mean difference of 3.63 with a p-value of 0.001 (p &lt;0.05). Yoga therapy and breathing program have a remarkable and refreshing effect.  </em></p><p><strong><em>Conclusion</em></strong><em> : The conclusion is that the level of depression in the elderly resulted in a higher pre-test average value than the post-test value, which means that the level of depression after yoga therapy has decreased.</em></p>

The number of electronic health applications is increasing, including those that can be used for mental health. Previous studies showed that, use of several applications provides great benefits for mental health and greatly increases accessibility to mental health services. The objectives of this study were to assess needs and expectations of patients with mental disorder and a broad group of stakeholders with the expected end product being a well-functioning user-centered technology-based tool for mental disorders. The research was carried out by involving 80 patients with schizophrenia and 74 family’s caregivers in health services and local offices of health services in five cities of Indonesian capital city, Jakarta. This study was conducted through self-administered questionnaires and interviews where possible from December 2017 to July 2018. A descriptive statistic using proportion was used to present the data. The results indicated that patients needed information relevant to disease, patient care, check-up schedules and consultation with health workers. In addition, patients also wanted to get information on job vacancies due to many of them were unemployed and rehabilitation programs carried out by local health services. This study highlighted the needs to develop a mobile-based application for continuity of mental health services in the community.

People with epilepsy can lead a normal life, but there are many factors that can affect their quality of life. People with epilepsy may feel anxiety and even depression about their life, which can have an impact on productivity. This study aimed to identify factors affecting the quality of life of epilepsy patients. This study used a cross-sectional design with consecutive sampling and 100 respondents. The analysis used the Chisquare test and logistic regression. The results indicated that the majority of people with epilepsy in the study had a low quality of life (62 people, 62%) and the most influential factor affecting the quality of life was seizure type (odds ratio = 9.716, p = 0.001). Based on the findings, it can be concluded that education level, seizure frequency, type of seizure, stigma and medication adherence are factors that can affect the quality of life in epilepsy patients. Nurses can provide education on the management of seizures to epilepsy patients and their families, to improve the quality of life of people with epilepsy. Keywords: determinant factors, quality of life, epilepsy