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      Psychological Distress among University Staff before and during the COVID-19 Pandemic

      , , ,
      International Journal of Environmental Research and Public Health
      MDPI AG

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          Abstract

          (1) Background: The COVID-19 pandemic has distressed many populations worldwide, and since its beginning, many institutes have performed cross-sectional studies to assess mental health. We longitudinally examined psychological distress and depressive symptoms among university staff in Japan from 2019 to 2021, before and during the COVID-19 pandemic.; (2) Methods: Participants were teachers and hospital staff working at institutions related to Kobe University, who completed the Brief Job Stress Questionnaire (BJSQ) from 2019 to 2021. This study used the definition recommended by the guideline to identify high-stress. We analyzed the relationship between those who identified as having high-stress before versus during the COVID-19 pandemic using logistic regression analysis (adjusted for age, sex, and occupation).; (3) Results: Results showed that Stress Reaction scores increased slightly in 2020 and significantly in 2021. Time and other factors had a synergistic effect on mental health. The increase in Stress Reaction was significantly associated with females and nurses over the three years. Those with high-stress in 2019 had approximately twenty-fold odds ratios (OR) of having high-stress in 2020 and 2021.; (4) Conclusions: The long-term COVID-19 pandemic may disturb university staff’s mental health. Those who originally experienced high levels of stress were vulnerable to the negative effects of the COVID-19 pandemic.

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          Most cited references45

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          Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

          Key Points Question What factors are associated with mental health outcomes among health care workers in China who are treating patients with coronavirus disease 2019 (COVID-19)? Findings In this cross-sectional study of 1257 health care workers in 34 hospitals equipped with fever clinics or wards for patients with COVID-19 in multiple regions of China, a considerable proportion of health care workers reported experiencing symptoms of depression, anxiety, insomnia, and distress, especially women, nurses, those in Wuhan, and front-line health care workers directly engaged in diagnosing, treating, or providing nursing care to patients with suspected or confirmed COVID-19. Meaning These findings suggest that, among Chinese health care workers exposed to COVID-19, women, nurses, those in Wuhan, and front-line health care workers have a high risk of developing unfavorable mental health outcomes and may need psychological support or interventions.
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            Investigation of the freely available easy-to-use software ‘EZR' for medical statistics

            Y Kanda (2012)
            Although there are many commercially available statistical software packages, only a few implement a competing risk analysis or a proportional hazards regression model with time-dependent covariates, which are necessary in studies on hematopoietic SCT. In addition, most packages are not clinician friendly, as they require that commands be written based on statistical languages. This report describes the statistical software ‘EZR' (Easy R), which is based on R and R commander. EZR enables the application of statistical functions that are frequently used in clinical studies, such as survival analyses, including competing risk analyses and the use of time-dependent covariates, receiver operating characteristics analyses, meta-analyses, sample size calculation and so on, by point-and-click access. EZR is freely available on our website (http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmed.html) and runs on both Windows (Microsoft Corporation, USA) and Mac OS X (Apple, USA). This report provides instructions for the installation and operation of EZR.
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              Impact of COVID-19 Pandemic on Mental Health in the General Population: A Systematic Review

              Highlights • The Coronavirus disease 2019 (COVID-19) pandemic has resulted in unprecedented hazards to mental health globally. • Relatively high rates of anxiety, depression, post-traumatic stress disorder, psychological distress, and stress were reported in the general population during the COVID-19 pandemic in eight countries. • Common risk factors associated with mental distress during the COVID-19 pandemic include female gender, younger age group (≤40 years), presence of chronic/psychiatric illnesses, unemployment, student status, and frequent exposure to social media/news concerning COVID-19. • Mitigation of COVID-19 induced psychological distress requires government intervention and individual efforts.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                IJERGQ
                International Journal of Environmental Research and Public Health
                IJERPH
                MDPI AG
                1660-4601
                February 2023
                January 26 2023
                : 20
                : 3
                : 2208
                Article
                10.3390/ijerph20032208
                a2d8b2d9-07c3-4826-a8ff-1458fba81055
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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