MENTAL HEALTH SUPPORT FOR HIGHER EDUCATION STAFF IN TIMES OF CRISIS

T. Tarpomanova, V. Slavova
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Abstract

The COVID-19 pandemic affected the mental health of higher education staff. Purpose: The aim of this study is to examine the impact of COVID-19 on the mental health of higher education staff. Materials and methods: The survey subjects were 165 university teachers of the Medical University in Varna. The following tools were used: a questionnaire to explore some aspects of the respondent's quality of life before and during the COVID-19 pandemic, HADS and the Maslach Burnout Inventory. Descriptive statistical methods, a t-test, correlation analysis, χ2 test and a multiple linear regression model were applied. SPSS version v.24.0 was used to process the survey data. The survey took place between October and December 2022. Results: The mean value on the anxiety scale was 5.61, SD = 4.027 and 3.62, SD = 3.39 on the depression scale. The mean score on the emotional exhaustion scale (ЕЕ) was 27.67. The mean in the depersonalization scale was 9.10, SD = 5.494. The personal accomplishment mean value was 44.78, SD = 8.006. The results from HADS depression and HADS anxiety showed a statistical significance for predicting the scores on the EE scale (β = 1.158, p = 0.0001 and β = 0.573, p = 0.021). The levels of stress before and during the pandemic had a statistically significant weak correlation with the EE scale. Conclusions: activities for general and selective prevention of occupational stress and burnout, based on stress-coping strategies, can be introduced in higher education.
在危机时刻为高等教育人员提供心理健康支持
COVID-19 大流行对高等教育人员心理健康的影响。目的:本研究旨在探讨 COVID-19 对高等教育人员心理健康的影响。材料与方法:调查对象为瓦尔纳医科大学的 165 名大学教师。使用了以下工具:一份调查问卷,以了解 COVID-19 大流行之前和期间受访者生活质量的某些方面;HADS 和 Maslach 职业倦怠量表。采用了描述性统计方法、t 检验、相关分析、χ2 检验和多元线性回归模型。使用 SPSS v.24.0 版处理调查数据。调查时间为 2022 年 10 月至 12 月。结果焦虑量表的平均值为 5.61,SD = 4.027;抑郁量表的平均值为 3.62,SD = 3.39。情绪衰竭量表(ЕЕ)的平均值为 27.67。人格解体量表的平均值为 9.10,标准差 = 5.494。个人成就感平均值为 44.78,标准差 = 8.006。HADS 抑郁和 HADS 焦虑量表的结果显示,预测 EE 量表的得分具有统计学意义(β = 1.158,p = 0.0001 和 β = 0.573,p = 0.021)。大流行前和大流行期间的压力水平与 EE 量表在统计学上有显著的弱相关性。结论:可以在高等教育中引入基于压力应对策略的一般性和选择性预防职业压力和职业倦怠的活动。
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