Aydın Esat Fahri, Alay Handan, Yılmaz Sinan, Can Fatma Kesmez
Department of Psychiatry, Atatürk University Medical Faculty, Erzurum, Turkey.
Department of Infectious Diseases and Clinical Microbiology, Atatürk University Medical Faculty, Erzurum, Turkey.
Psychiatry Investig. 2024 Jul;21(7):736-745. doi: 10.30773/pi.2023.0022. Epub 2024 Jul 24.
We aimed to assess the interplay between functional impairment and anxiety, depression, and problematic Internet use levels in front-line healthcare workers who work in inpatient clinics of coronavirus disease-2019 (COVID-19) during the COVID-19 pandemic.
Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Internet Addiction Test (IAT), and Sheehan Disability Scale (SDS) were administered to assess the depression, anxiety, problematic Internet use, and functional impairment levels of the participants.
Two hundred thirteen participants were enrolled in the present study. Medical doctors showed significantly higher scores of IAT than the nurses and other medical staff (Kruskal-Wallis=6.519, p=0.038). Levels of SDS total are significantly correlated with scores of IAT (r=0.257, p<0.001), BDI (r=0.383, p<0.001), and BAI (r=0.308, p<0.001). All subdomain scores of SDS (social, family, work) and total scores of SDS were significantly and positively correlated with BAI, BDI, and IAT scores (p<0.05). In the separation mediation analysis, problematic Internet use partially mediated the relationship between anxiety-depression and global functional impairment.
Health politicians should produce policies to develop strategies for coping with consequences of anxiety and depression in healthcare professionals during any health crisis. In addition, we should raise healthcare professionals' awareness that problematic Internet use is not suitable for dealing with anxiety and depression and may even lead to increase of functional loss.
我们旨在评估在2019冠状病毒病（COVID-19）大流行期间，在COVID-19住院诊所工作的一线医护人员中，功能障碍与焦虑、抑郁及网络使用问题水平之间的相互作用。
采用贝克抑郁量表（BDI）、贝克焦虑量表（BAI）、网络成瘾测试（IAT）和希恩残疾量表（SDS）来评估参与者的抑郁、焦虑、网络使用问题和功能障碍水平。
本研究共纳入213名参与者。医生的IAT得分显著高于护士和其他医务人员（Kruskal-Wallis检验=6.519，p=0.038）。SDS总分与IAT得分（r=0.257，p<0.001）、BDI得分（r=0.383，p<0.001）和BAI得分（r=0.308，p<0.001）显著相关。SDS的所有子领域得分（社交、家庭、工作）和SDS总分与BAI、BDI和IAT得分均显著正相关（p<0.05）。在分离中介分析中，网络使用问题部分介导了焦虑抑郁与整体功能障碍之间的关系。
卫生政策制定者应制定政策，以制定应对任何健康危机期间医护人员焦虑和抑郁后果的策略。此外，我们应提高医护人员的意识，即网络使用问题不适用于应对焦虑和抑郁，甚至可能导致功能丧失增加。
