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The aim of this study is to measure current affective symptoms and psychological distress in individuals with severe mental illness during the COVID-19 pandemic using an online questionnaire survey. In addition, this study aims at identifying individual beliefs, sleep quality, attitudes concerning the virus, the adherence to the measures, believing processes, and coping strategies/resilience patterns referring to COVID-19 in different study centers.
A novel corona virus (SARS-CoV-2) has been identified as the cause of an outbreak of respiratory illness (corona virus disease COVID-19) all over the world. The COVID-19 pandemic is a public health emergency of international concern and poses a challenge to psychological resilience.
Studies reviewed the psychological impact of quarantine and reported negative psychological effects including post-traumatic stress symptoms, confusion, and anger, infection fears, frustration, boredom, inadequate supplies, inadequate information, financial loss, and stigma. A loss of daily structure and reduced social contacts were associated with frustration, boredom, reduced psychological-well being and psychological distress.
A recently conducted online questionnaire survey, investigating emotional responses and coping strategies of nurses, found sex differences in anxiety and fear referred to COVID-19 (women showed more severe anxiety and fear than men) and differences between participants from cities showing more anxiety and fear compared with participants from rural showing more sadness. The closer COVID-19 was to the participants, the stronger the anxiety and anger.
All these investigated psychological variables (i.e. anxiety, depression, boredom, loss of daily structure) have been found to impact the course and outcome of psychiatric disorders. Nowadays, COVID-19 is a pressure source with great influence, both for individuals and for the social public groups. Different individuals and groups may experience different levels of psychological crisis and patients with psychiatric disorders may experience more or less psychological symptoms than healthy control persons. According to a recent study, lithium, widely used to treat bipolar disorder, has been shown to exhibit antiviral activity and appears as a possible candidate for therapy of COVID-19. However, more research data are needed to develop evidence-driven strategies to reduce adverse psychological impacts and psychiatric symptoms during the pandemic.
Scientific questions
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Psychiatric patients | Psychiatric patients with ICD-10 (International Statistical Classification of Diseases and Related Health Problems) F2/F3/F4 diagnosis |
| |
| Healthy Controls | Participants who do not have a psychiatric disorder or a first degree relative with psychiatric disorder. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Online Survey | Diagnostic Test | Psychological questionnaires |
|
| Measure | Description | Time Frame |
|---|---|---|
| Global symptom load (Anxiety, Somatisation, Depression, Global Symptom Index) | Brief Symptom Inventory-18 with higher scores meaning a worse outcome (more depression, anxiety and somatization); Each item is weighted on a 0-4 interval scale; Minimum = 0, Maximum = 72) | 1 year |
| Depressive symptoms | Beck Depression Inventory-II with higher scores mean a worse Outcome (more depressive Symptoms; each item is weighted on a 0-3 interval scale; Minimum = 0, Maximum = 63) | 1 year |
| Sleep disorders and Sleep Quality | Pittsburgh Sleep Quality Index (PSQI) with higher scores mean a worse Outcome (more sleeping disturbances; Each item is weighted on a 0-3 interval scale; Minimum = 0, Maximum = 63) | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Life style changes | Lifestyle Questions including physical activity, eating behavior, substance use, smoking | 1 year |
| Food Craving | Food Craving Inventory (FCI) with higher scores mean a worse Outcome (more Food craving; Each item is weighted on a 0-4 interval scale; Minimum = 0, Maximum = 112) |
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Inclusion Criteria:
Exclusion Criteria:
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Based on previous experience of the researchers working within the sector, we anticipated that it would be possible to recruit a conservative average of 100 psychiatric patients per outpatient clinic Thus, we aim to recruit at least 500 patients and 500 healthy controls in total which would be a large enough sample to conduct most subgroup analyses. Nevertheless, in case we can recruit a larger number of participants allowing further subgroup analysis it would be useful. The assumed response rate is 70 %.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Eva Reininghaus, Prof. | Contact | 004331638580968 | eva.reininghaus@medunigraz.at | |
| Nina Dalkner, PD Dr. | Contact | 004331638530081 | nina.dalkner@medunigraz.at |
| Name | Affiliation | Role |
|---|---|---|
| Eva Reininghaus, Prof. | Medical University of Graz | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Medical University Graz, Department of Psychiatry and Psychotherapeutic Medicine | Recruiting | Graz | Styria | 8036 | Austria |
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| ID | Term |
|---|---|
| D018352 | Coronavirus Infections |
| D001523 | Mental Disorders |
| ID | Term |
|---|---|
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
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| 1 year |
| COVID-19 associated fears and emotional responses to the pandemic | COVID-19 questionnaire with higher scores meaning a worse Outcome (more fears and negative emotions; each item is weighted on a 0-10 interval scale) | 1 year |
| D007239 |
| Infections |