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CLC number: R511; B845.67

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2020-04-01

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Journal of Zhejiang University SCIENCE B 2020 Vol.21 No.5 P.400-404

http://doi.org/10.1631/jzus.B2010013


Efficacy of internet-based integrated intervention on depression and anxiety symptoms in patients with COVID-19


Author(s):  Ning Wei, Bo-Chao Huang, Shao-Jia Lu, Jian-Bo Hu, Xiao-Yi Zhou, Chan-Chan Hu, Jing-Kai Chen, Jin-Wen Huang, Shu-Guang Li, Zheng Wang, Dan-Dan Wang, Yi Xu, Shao-Hua Hu

Affiliation(s):  Department of Psychiatry, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China; more

Corresponding email(s):   xuyizju@zju.edu.cn, dorhushaohua@zju.edu.cn

Key Words:  Coronavirus disease 2019 (COVID-19), Internet-based integrated intervention, Depression, Anxiety


Ning Wei, Bo-Chao Huang, Shao-Jia Lu, Jian-Bo Hu, Xiao-Yi Zhou, Chan-Chan Hu, Jing-Kai Chen, Jin-Wen Huang, Shu-Guang Li, Zheng Wang, Dan-Dan Wang, Yi Xu, Shao-Hua Hu. Efficacy of internet-based integrated intervention on depression and anxiety symptoms in patients with COVID-19[J]. Journal of Zhejiang University Science B, 2020, 21(5): 400-404.

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author="Ning Wei, Bo-Chao Huang, Shao-Jia Lu, Jian-Bo Hu, Xiao-Yi Zhou, Chan-Chan Hu, Jing-Kai Chen, Jin-Wen Huang, Shu-Guang Li, Zheng Wang, Dan-Dan Wang, Yi Xu, Shao-Hua Hu",
journal="Journal of Zhejiang University Science B",
volume="21",
number="5",
pages="400-404",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2010013"
}

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%T Efficacy of internet-based integrated intervention on depression and anxiety symptoms in patients with COVID-19
%A Ning Wei
%A Bo-Chao Huang
%A Shao-Jia Lu
%A Jian-Bo Hu
%A Xiao-Yi Zhou
%A Chan-Chan Hu
%A Jing-Kai Chen
%A Jin-Wen Huang
%A Shu-Guang Li
%A Zheng Wang
%A Dan-Dan Wang
%A Yi Xu
%A Shao-Hua Hu
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%I Zhejiang University Press & Springer
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A1 - Ning Wei
A1 - Bo-Chao Huang
A1 - Shao-Jia Lu
A1 - Jian-Bo Hu
A1 - Xiao-Yi Zhou
A1 - Chan-Chan Hu
A1 - Jing-Kai Chen
A1 - Jin-Wen Huang
A1 - Shu-Guang Li
A1 - Zheng Wang
A1 - Dan-Dan Wang
A1 - Yi Xu
A1 - Shao-Hua Hu
J0 - Journal of Zhejiang University Science B
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SP - 400
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DOI - 10.1631/jzus.B2010013


Abstract: 
Public health crises, such as the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since Dec. 2019, are widely acknowledged as severe traumatic events that impose threats not only because of physical concerns but also because of the psychological distress of infected patients. We designed an internet-based integrated intervention and evaluated its efficacy on depression and anxiety symptoms in patients infected by SARS-CoV-2.

基于网络的整合心理干预对新冠肺炎患者抑郁焦虑症状的改善作用

目的:探讨基于网络的整合心理干预对新冠肺炎患者抑郁焦虑症状的有效性.
创新点:针对大规模公共卫生事件的患者,首次采用基于网络的整合心理干预技术开展抑郁焦虑症状的治疗.这不仅能够让隔离患者更便捷地获得心理干预,而且减少了心理医生的感染暴露机会.
方法:纳入26例伴有抑郁焦虑症状的新冠肺炎患者,随机分为干预组和对照组.干预组给予基于网络的整合心理干预,患者在医生指导下,通过智能手机聆听音频材料,并接受整合心理干预,包括放松训练、正念治疗、"安全地"技术和蝴蝶拥抱法;对照组则给予支持性心理治疗.通过HAMD-17与HAMA量表评估患者的抑郁焦虑水平.我们发现在1周末及2周末干预组患者HAMD-17与HAMA减分均明显优于对照组.
结论:基于网络的整合心理干预可有效改善伴有抑郁焦虑症状的新冠肺炎患者的情绪症状,且对隔离患者来说更便捷,也减少了心理医生的感染暴露机会.

关键词:新冠肺炎;基于网络的整合心理干预;抑郁;焦虑

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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