Zeilinger Elisabeth Lucia, Knefel Matthias, Schneckenreiter Carmen, Pietschnig Jakob, Lubowitzki Simone, Unseld Matthias, Füreder Thorsten, Bartsch Rupert, Masel Eva Katharina, Adamidis Feroniki, Kum Lea, Kiesewetter Barbara, Zöchbauer-Müller Sabine, Raderer Markus, Krauth Maria Theresa, Staber Philipp B, Valent Peter, Gaiger Alexander
Division of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Academy for Ageing Research, Haus der Barmherzigkeit, Vienna, Austria.
Int J Clin Health Psychol. 2023 Oct-Dec;23(4):100404. doi: 10.1016/j.ijchp.2023.100404. Epub 2023 Aug 22.
We aimed to investigate the impact of the COVID-19 pandemic on psychological symptom burden against the socioeconomic background of cancer patients using data from routine assessments before and during the pandemic.
In this cross-sectional study, standardised assessment instruments were applied in = 1,329 patients to screen for symptoms of anxiety, depression, post-traumatic stress, and fatigue from 2018 to 2022. Two MANOVAs with post-hoc tests were computed. First, only time was included as predictor to examine the isolated impact of the pandemic. Second, income level and education level were included as further predictors to additionally test the predictive power of socioeconomic factors.
In the final model, only income had a significant impact on all aspects of psychological symptom burden, with patients with low income being highly burdened (partial η² = .01, p = .023). The highest mean difference was found for depressive symptoms ( = 0.13, = [0.07; 0.19], < .001). The pandemic had no further influence on psychological distress.
Although the pandemic is a major stressor in many respects, poverty may be the more important risk factor for psychological symptom burden in cancer outpatients, outweighing the impact of the pandemic.
我们旨在利用大流行之前和期间的常规评估数据,研究在癌症患者的社会经济背景下,新冠疫情对心理症状负担的影响。
在这项横断面研究中,对1329名患者应用标准化评估工具,以筛查2018年至2022年期间的焦虑、抑郁、创伤后应激和疲劳症状。计算了两个带有事后检验的多变量方差分析。首先,仅将时间作为预测变量,以检验疫情的单独影响。其次,将收入水平和教育水平作为进一步的预测变量,以额外检验社会经济因素的预测能力。
在最终模型中,只有收入对心理症状负担的各个方面有显著影响,低收入患者负担沉重(偏η² = 0.01,p = 0.023)。抑郁症状的平均差异最大( = 0.13, = [0.07; 0.19], <.001)。疫情对心理困扰没有进一步影响。
尽管疫情在许多方面是一个主要的压力源,但贫困可能是癌症门诊患者心理症状负担更重要的风险因素,其影响超过了疫情。