Wallis Hannah, Elgner Melanie, Schurr Marisa, Giel Katrin Elisabeth, Martus Peter, Paul Gregor, Jürgensen Jan Steffen, Allwang Christine, Mikolajczyk Rafael, Galante-Gottschalk Annette, Ehehalt Stefan, Junne Florian, Binneböse Marius
Department of Psychosomatic Medicine and Psychotherapy, University Hospital Magdeburg, 39120 Magdeburg, Germany.
German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, 07745 Jena, Germany.
J Clin Med. 2023 Sep 27;12(19):6240. doi: 10.3390/jcm12196240.
: Understanding factors that impaired mental health during the COVID-19 pandemic is extremely relevant in order to mitigate long-term consequences of the pandemic and to promote resilience in future crises. : Data were collected in southern Germany in a population-based survey study (CoKoS) with three times of measurement in May 2020, November 2020 and July 2021. Predictors of depressive and anxiety symptoms were measured with a short version of the Patient Health Questionnaire (PHQ-4) in the general population ( = 758) and individuals who were infected with SARS-CoV-2 in the beginning of the pandemic ( = 412). We investigated differences between both samples and how stress components (, , ) measured with the Perceived Stress Questionnaire (PSQ) varied with depressive and anxiety symptoms over time. Three linear mixed models (GLMMs) were fitted to predict the PHQ-4 stepwise, including sociodemographic variables and stress (PSQ). : Depressive and anxiety symptoms increased from May 2020 to November 2020 and remained stable until July 2021. There were no differences between people with SARS-CoV-2 infection and the general population. Those with a pre-existing disease and lower education reported higher levels of depressive and anxiety symptoms. Stress explained a substantial fraction of variance in depressive and anxiety symptoms. The stress component emerged as the strongest predictor of depressive and anxiety symptoms, whereas seemed to buffer these symptoms. : The results suggest that mitigating people's worry and increasing joy may promote resilience in future crises. Future studies should assess mental health interventions targeted at vulnerable groups, such as those with lower socioeconomic status and poorer health.
了解在新冠疫情期间影响心理健康的因素对于减轻疫情的长期后果以及提升应对未来危机的恢复力极为重要。数据收集于德国南部一项基于人群的调查研究(CoKoS),分别在2020年5月、2020年11月和2021年7月进行了三次测量。使用患者健康问卷简版(PHQ - 4)对普通人群(n = 758)和在疫情初期感染新冠病毒的个体(n = 412)测量抑郁和焦虑症状的预测因素。我们研究了两个样本之间的差异,以及用感知压力问卷(PSQ)测量的压力成分(A、B、C)如何随时间与抑郁和焦虑症状变化。拟合了三个广义线性混合模型(GLMMs)以逐步预测PHQ - 4,包括社会人口统计学变量和压力(PSQ)。抑郁和焦虑症状从2020年5月到2020年11月增加,并一直稳定到2021年7月。新冠病毒感染者与普通人群之间没有差异。患有基础疾病和受教育程度较低的人报告的抑郁和焦虑症状水平较高。压力解释了抑郁和焦虑症状变异的很大一部分。压力成分A成为抑郁和焦虑症状最强的预测因素,而B似乎对这些症状有缓冲作用。结果表明减轻人们的担忧并增加愉悦感可能会提升应对未来危机的恢复力。未来研究应评估针对弱势群体的心理健康干预措施,如社会经济地位较低和健康状况较差的人群。