Anxiety status and its influencing factors of nurses fighting COVID-19

Hung Jing, Li Yang, Liu Wenwen, Zhang Jiaxi
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引用次数: 2

Abstract

Objective To understand the anxiety status and related influencing factors of nurses fighting against coronavirus disease 2019 (COVID-19), and we provide guidance for improving first-line clinical nurses'anxiety. Methods The 196 first-line clinical nurses who fought against COVID-19 in the Sixth People's Hospital of Hebei Province from January 24 to February 25, 2020 were selected. Self rating Anxiety Scale (SAS) was used to investigate the anxiety status of clinical first-line nurses. Single factor and multiple stepwise Logistic regression were used to analyze the risk factors affecting anxiety of clinical first-line nurses. The area under curve of the ROC curve was used to judge the prediction ability of the model to the anxiety of clinical first-line nurses. Results Among 196 clinical first-line nurses, 82 had anxiety, the proportion was 41.8% (82/196). Univariate analysis showed that fatigue, public health emergencies, personality type, informing family members in the first line, only child, panic and sleep quality were related to anxiety of clinical first-line nurses ( P <0.05). Multiple stepwise Logistic regression analysis showed that fatigue [ OR (95% CI ) =1.952 (1.204-4.216)], introversion [ OR (95% CI ) =1.846 (1.115-3.938)],panic [ OR (95%CI) =2.428 (1.537-6.620)] and poor sleep quality [ OR (95%CI) =2.713 (1.715-7.258)] were independent risk factors for anxiety of clinical first-line nurses ( P <0.05), while participation in public health emergencies [ OR (95% CI ) =0.628(0.316-0.964)] and informing family members to be on the first-line [ OR (95% CI )=0.593 (0.248-0.917)] were protective factors for anxiety of clinical first-line nurses ( P <0.05). The area under curve of ROC was 0.928 (95%CI: 0.868-0.984, P <0.05). Conclusion Some of the first-line clinical nurses fighting against NCP have anxiety, and there are many influencing factors, so psychological counseling and humanistic care should be taken to intervene to improve the anxiety of nurses. 摘要:目的 了解抗击新型冠状病毒肺炎(新冠肺炎)护士的焦虑状况及其相关影响因素,为改善临床一线护士的 焦虑提供指导。 方法 选取2020年1月24日一2020年2月25日河北省第六人民医院抗击新冠肺炎的196名临床一线 护士。采用焦虑自评量表(SAS)对临床一线护士的焦虑状况进行调査,应用单因素及多元逐步Logistic回归分析影响 临床一线护士焦虑的危险因素。应用受试者工作特征( ROC )曲线下面积判断该模型对临床一线护士焦虑的预测能力。 结果 临床一线护士 196人中,82人有焦虑,构成比为41.8%(82/196)。单因素分析显示,容易疲劳、参加过突发公共卫 生事件、性格类型、告知家人在一线、独生子女、恐慌及睡眠质量与临床一线护士焦虑有关( P <0.05)。多元逐步Logistic 回归分析显示,容易疲劳[ OR (95% CI ) = 1.952(1.204~4.216)]、性格内向[ OR (95% CI )=1.846(1.115~3.938)]、恐慌[ OR (95% CI )=2.428(1.537~6.620)]及睡眠质量差[ OR (95% CI )=2.713(1.715~7.258)]是影响临床一线护士焦虑的独立危险 因素( P <0.05),而参加过突发公共卫生事件[ OR (95% CI )=0.628(0.316~0.964)]及告知家人在一线[ OR (95% CI )=0.593 (0.248~0.917)]是临床一线护士焦虑的保护因素( P <0.05)。该模型ROC曲线下面积为0.928(95% CI :0.868~0.984, P <0.05)。 结论 部分抗击新冠肺炎临床一线护士存在焦虑,其影响因素较多,应采取心理疏导和人文关怀等措施进行干 预,以改善护士的焦虑状况。
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抗疫护士焦虑状况及其影响因素
目的了解护士抗新冠肺炎(COVID-19)的焦虑状况及相关影响因素,为改善临床一线护士的焦虑状况提供指导。方法选取2020年1月24日至2月25日在河北省第六人民医院抗疫一线临床护士196名。采用焦虑自评量表(SAS)对临床一线护士的焦虑状况进行调查。采用单因素和多元逐步Logistic回归分析影响临床一线护士焦虑的危险因素。以ROC曲线下面积判断模型对临床一线护士焦虑的预测能力。结果196名临床一线护士中,有焦虑的有82人,占41.8%(82/196)。单因素分析显示,疲劳程度、突发公共卫生事件、性格类型、告知一线家属、独生子女、恐慌、睡眠质量与临床一线护士焦虑相关(P <0.05)。多元逐步Logistic回归分析显示,疲劳[OR (95%CI) =1.952(1.204 ~ 4.216)]、内向[OR (95%CI) =1.846(1.115 ~ 3.938)]、恐慌[OR (95%CI) =2.428(1.537 ~ 6.620)]、睡眠质量差[OR (95%CI) =2.713(1.715 ~ 7.258)]是临床一线护士焦虑的独立危险因素(P <0.05);参与突发公共卫生事件[OR (95% CI)= 0.628(0.316-0.964)]和告知家属在一线[OR (95% CI)=0.593(0.248-0.917)]是临床一线护士焦虑的保护因素(P <0.05)。ROC曲线下面积为0.928 (95%CI: 0.868 ~ 0.984, P <0.05)。结论临床一线抗新冠肺炎护士存在焦虑情绪,影响因素较多,应采取心理疏导和人文关怀干预,改善护士焦虑情绪。摘要:目的 了解抗击新型冠状病毒肺炎(新冠肺炎)护士的焦虑状况及其相关影响因素,为改善临床一线护士的 焦虑提供指导。 方法选取2020年1月24日一2020年2月25日河北省第六人民医院抗击新冠肺炎的196名临床一线护士。采用焦虑自评量表(SAS)对临床一线护士的焦虑状况进行调査,应用单因素及多元逐步物流回归分析影响临床一线护士焦虑的危险因素。【中文译文】:中文译文:41.8%(82/196)。单因素分析显示,容易疲劳,参加过突发公共卫生事件,性格类型,告知家人在一线,独生子女,恐慌及睡眠质量与临床一线护士焦虑有关(P < 0.05)。多元逐步物流回归分析显示,容易疲劳(或(95% CI) = 1.952(1.204 ~ 4.216)],性格内向(或(95% CI) = 1.846(1.115 ~ 3.938)],恐慌(或(95% CI) = 2.428(1.537 ~ 6.620)]及睡眠质量差(或(95% CI) = 2.713(1.715 ~ 7.258)]是影响临床一线护士焦虑的独立危险因素(P < 0.05),而参加过突发公共卫生事件(或(95% CI) = 0.628(0.316 ~ 0.964)]及告知家人在一线(或(95% CI) = 0.593(0.248 ~ 0.917)]是临床一线护士焦虑的保护因素(P < 0.05)。该模型ROC曲线下面积为0.928 (95% CI: 0.868 ~ 0.984, P < 0.05)。结论 部分抗击新冠肺炎临床一线护士存在焦虑,其影响因素较多,应采取心理疏导和人文关怀等措施进行干 预,以改善护士的焦虑状况。
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来源期刊
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0.60
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期刊介绍: China Tropical Medicine, was approved by the Ministry of Science and Technology in 2001, is the only tropical medicine periodical under the charge of the National Health Commission of China. It’s organized by Hainan Provincial Center for Disease Prevention and Control, and Chinese Preventive Medicine Association. The journal is indexed by the following database: Scopus database, Embase database, EBSCO Database, The Western Pacific Region index medicus (WPRIM), American Chemical Abstracts (CA), International Centre for Agricultural and Biological Sciences Research Database (CABI), Global Health Database, Database of the Ulrich's Periodicals Directory, China Science and Technology Core Journals, China Core Journals (Selection) Database, Database of Chinese Biomedical Literature, Comprehensive Evaluation Database of Chinese Academic Journals, CAJCD Code of Conduct Excellent Journal, Database of Chinese SCI-Tech Periodicals, China Journal Full Text Database.
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