The WHO has raised concerns about the psychological consequences of the current COVID-19 pandemic, negatively affecting health across societies, cultures and age-groups. This online survey study investigated mental health, subjective experience, and behaviour (health, learning/teaching) among university students studying in Egypt or Germany shortly after the first pandemic lockdown in May 2020. Psychological assessment included stable personality traits, self-concept and state-like psychological variables related to (a) mental health (depression, anxiety), (b) pandemic threat perception (feelings during the pandemic, perceived difficulties in describing, identifying, expressing emotions), (c) health (e.g., worries about health, bodily symptoms) and behaviour including perceived difficulties in learning. Assessment methods comprised self-report questions, standardized psychological scales, psychological questionnaires, and linguistic self-report measures. Data analysis comprised descriptive analysis of mental health, linguistic analysis of self-concept, personality and feelings, as well as correlational analysis and machine learning. N = 220 (107 women, 112 men, 1 = other) studying in Egypt or Germany provided answers to all psychological questionnaires and survey items. Mean state and trait anxiety scores were significantly above the cut off scores that distinguish between high versus low anxious subjects. Depressive symptoms were reported by 51.82% of the student sample, the mean score was significantly above the screening cut off score for risk of depression. Worries about health (mental and physical health) and perceived difficulties in identifying feelings, and difficulties in learning behaviour relative to before the pandemic were also significant. No negative self-concept was found in the linguistic descriptions of the participants, whereas linguistic descriptions of feelings during the pandemic revealed a negativity bias in emotion perception. Machine learning (exploratory) predicted personality from the self-report data suggesting relations between personality and subjective experience that were not captured by descriptive or correlative data analytics alone. Despite small sample sizes, this multimethod survey provides important insight into mental health of university students studying in Egypt or Germany and how they perceived the first COVID-19 pandemic lockdown in May 2020. The results should be continued with larger samples to help develop psychological interventions that support university students across countries and cultures to stay psychologically resilient during the pandemic.

中文翻译：

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您在 COVID-19 大流行期间感觉如何？一项使用心理和语言自我报告措施和机器学习来调查大学生在 COVID-19 大流行期间的心理健康、主观体验、个性和行为的调查

世卫组织对当前 COVID-19 大流行的心理后果表示担忧，这对不同社会、文化和年龄组的健康产生负面影响。这项在线调查研究调查了在 2020 年 5 月第一次大流行封锁后不久在埃及或德国学习的大学生的心理健康、主观体验和行为（健康、学习/教学）。心理评估包括稳定的人格特征、自我概念和状态- 与（a）心理健康（抑郁、焦虑）、（b）大流行威胁感知（大流行期间的感觉、描述、识别、表达情绪的感知困难），（c）健康（例如，对健康的担忧）相关的类似心理变量、身体症状）和行为，包括感知到的学习困难。评估方法包括自我报告问题、标准化心理量表、心理问卷和语言自我报告措施。数据分析包括心理健康的描述性分析，自我概念、个性和感受的语言分析，以及相关分析和机器学习。在埃及或德国学习的 N = 220（107 名女性，112 名男性，1 = 其他）提供了所有心理问卷和调查项目的答案。平均状态和特质焦虑分数显着高于区分高焦虑和低焦虑受试者的截止分数。51.82% 的学生样本报告了抑郁症状，平均分数显着高于抑郁风险的筛选截止分数。与大流行之前相比，对健康（心理和身体健康）的担忧和识别感觉的困难以及学习行为的困难也很重要。在参与者的语言描述中没有发现负面的自我概念，而在大流行期间对情绪的语言描述揭示了情绪感知的负面偏见。机器学习（探索性）从自我报告数据中预测个性，表明个性与主观体验之间的关系，而这些关系并没有被单独的描述性或相关数据分析所捕获。尽管样本量很小，但这项多方法调查为了解在埃及或德国学习的大学生的心理健康以及他们如何看待 2020 年 5 月第一次 COVID-19 大流行封锁提供了重要的见解。