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      Understanding the mental health impacts of biological disasters: Lessons from Taiwan's experience with COVID-19

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          COVID-19 pandemic and mental health consequences: systematic review of the current evidence

          Highlights • COVID-19 patients displayed high levels of PTSS and increased levels of depression. • Patients with preexisting psychiatric disorders reported worsening of psychiatric symptoms. • Higher levels of psychiatric symptoms were found among health care workers. • A decrease in psychological well-being was observed in the general public. • However, well conducted large-scale studies are highly needed.
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            A Large‐Scale Survey on Trauma, Burnout, and Posttraumatic Growth among Nurses during the COVID‐19 Pandemic

            Abstract A large‐scale survey study was conducted to assess trauma, burnout, posttraumatic growth, and associated factors for nurses in the COVID‐19 pandemic. The Trauma Screening Questionnaire, Maslach Burnout Inventory, and Posttraumatic Growth Inventory‐Short Form were utilized. Factors associated with trauma, burnout, and posttraumatic growth were analysed using logistic and multiple regressions. In total, 12 596 completed the survey, and 52.3% worked in COVID‐19 designated hospitals. At the survey’s conclusion in April, 13.3% reported trauma (Trauma ≥ 6), there were moderate degrees of emotional exhaustion, and 4,949 (39.3%) experienced posttraumatic growth. Traumatic response and emotional exhaustion were greater among (i) women (odds ratio [OR]: 1.48, 95% CI 1.12–1.97 P = 0.006; emotional exhaustion OR: 1.30, 95% CI 1.09–1.54, P = 0.003), (ii) critical care units (OR: 1.20, 95% CI 1.06–1.35, P = 0.004; emotional exhaustion OR: 1.23, 95% CI 1.12–1.33, P < 0.001) (iii) COVID‐19 designated hospital (OR: 1.24, 95% CI 1.11–1.38; P < 0.001; emotional exhaustion OR: 1.26, 95% CI 1.17–1.36; P < 0.001) and (iv) COVID‐19‐related departments (OR: 1.16, 95% CI 1.04–1.29, P = 0.006, emotional exhaustion only). To date, this is the first large‐scale study to report the rates of trauma and burnout for nurses during the COVID‐19 pandemic. The study indicates that nurses who identified as women, working in ICUs, COVID‐19 designated hospitals, and departments involved with treating COVID‐19 patients had higher scores in mental health outcomes. Future research can focus on the factors the study has identified that could lead to more effective prevention and treatment strategies for adverse health outcomes and better use of resources to promote positive outcomes.
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              Fear conditioning, synaptic plasticity and the amygdala: implications for posttraumatic stress disorder.

              Posttraumatic stress disorder (PTSD) is an anxiety disorder that can develop after a traumatic experience such as domestic violence, natural disasters or combat-related trauma. The cost of such disorders on society and the individual can be tremendous. In this article, we review how the neural circuitry implicated in PTSD in humans is related to the neural circuitry of fear. We then discuss how fear conditioning is a suitable model for studying the molecular mechanisms of the fear components that underlie PTSD, and the biology of fear conditioning with a particular focus on the brain-derived neurotrophic factor (BDNF)-tyrosine kinase B (TrkB), GABAergic and glutamatergic ligand-receptor systems. We then summarize how such approaches might help to inform our understanding of PTSD and other stress-related disorders and provide insight to new pharmacological avenues of treatment of PTSD. Copyright © 2011 Elsevier Ltd. All rights reserved.

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                Contributors
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                Journal
                Journal of the Formosan Medical Association
                Journal of the Formosan Medical Association
                Elsevier BV
                09296646
                March 2024
                March 2024
                Article
                10.1016/j.jfma.2024.03.015
                38519322
                74d297bf-2dfd-4812-a616-acb68399db80
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://www.elsevier.com/legal/tdmrep-license

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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