Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution | |
Ren, Yali1; Qian, Wei2; Li, Zezhi3; Liu, Zhengkui2; Zhou, Yongjie4,5,10; Wang, Ruoxi6; Qi, Ling7; Yang, Jiezhi8; Song, Xiuli9; Zeng, Lingyun10 | |
刊名 | JOURNAL OF AFFECTIVE DISORDERS |
2020-12-01 | |
卷号 | 277页码:893-900 |
关键词 | COVID-19 Mental health Geographical distribution Temporal distribution General public |
ISSN号 | 0165-0327 |
DOI | 10.1016/j.jad.2020.08.045 |
产权排序 | 2 |
文献子类 | 评论 |
英文摘要 | Background: The mental health status caused by major epidemics is serious and lasting. At present, there are few studies about the lasting mental health effects of COVID-19 outbreak. The purpose of this study was to investigate the mental health of the Chinese public during the long-term COVID-19 outbreak. Methods: A total of 1172 online questionnaires were collected, covering demographical information and 8 common psychological states: depression, anxiety, somatization, stress, psychological resilience, suicidal ideation and behavior, insomnia, and stress disorder. In addition, the geographical and temporal distributions of different mental states were plotted. Results: Overall, 30.1% of smokers increased smoking, while 11.3% of drinkers increased alcohol consumption. The prevalence rates of depression, anxiety, mental health problems, high risk of suicidal and behavior, clinical insomnia, clinical post-traumatic stress disorder symptoms, moderate-to-high levels of perceived stress were 18.8%, 13.3%, 7.6%, 2.8%, 7.2%, 7.0%, and 67.9%, respectively. Further, the geographical distribution showed that the mental status in some provinces/autonomous regions/municipalities was relatively more serious. The temporal distribution showed that the psychological state of the participants was relatively poorer on February 20, 24 to 26 and March 25, especially on March 25. Limitations: This cross-sectional design cannot make causal inferences. The snowball sampling was not representative enough. Conclusion: Our findings suggest that the prevalence rate of mental disorders in the Chinese public is relatively low in the second month of the COVID-19 pandemic. In addition, people's mental state is affected by the geographical and temporal distributions. |
WOS关键词 | CONNOR-DAVIDSON RESILIENCE ; INSOMNIA SEVERITY INDEX ; PSYCHOMETRIC PROPERTIES ; DEPRESSIVE SYMPTOMS ; ANXIETY DISORDERS ; SCALE CD-RISC-10 ; VALIDATION ; POPULATION ; OUTBREAK ; ADOLESCENTS |
WOS研究方向 | Neurosciences & Neurology ; Psychiatry |
出版者 | ELSEVIER |
WOS记录号 | WOS:000578005900003 |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/33025] |
专题 | 心理研究所_中国科学院心理健康重点实验室 |
通讯作者 | Liu, Zhengkui |
作者单位 | 1.Huazhong Univ Sci & Technol, Liyuan Hosp, Tongji Med Coll, Wuhan 430077, Peoples R China 2.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, 16 Lincui Rd, Beijing 100101, Peoples R China 3.Shanghai Jiao Tong Univ, Renji Hosp, Dept Neurol, Sch Med, Shanghai 200127, Peoples R China 4.China Univ Geosci, Res Ctr Psychol & Hlth Sci, Wuhan 430022, Peoples R China 5.Huazhong Univ Sci & Technol, Tongji Med Coll, Affiliated Wuhan Mental Hlth Ctr, Wuhan 430022, Peoples R China 6.Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Med & Hlth Management, Wuhan 430030, Peoples R China 7.Wuhan Polytech Univ, Sch Hlth Sci & Nursing, Wuhan 430023, Peoples R China 8.Shenzhen Hlth Dev Res Ctr, Shenzhen 518028, Peoples R China 9.Binzhou Med Univ, Clin Psychol, Yantai Affiliated Hosp, Yantai 264005, Peoples R China 10.Shenzhen Kangning Hosp, Shenzhen 518118, Peoples R China |
推荐引用方式 GB/T 7714 | Ren, Yali,Qian, Wei,Li, Zezhi,et al. Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution[J]. JOURNAL OF AFFECTIVE DISORDERS,2020,277:893-900. |
APA | Ren, Yali.,Qian, Wei.,Li, Zezhi.,Liu, Zhengkui.,Zhou, Yongjie.,...&Zhang, Xiangyang.(2020).Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution.JOURNAL OF AFFECTIVE DISORDERS,277,893-900. |
MLA | Ren, Yali,et al."Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution".JOURNAL OF AFFECTIVE DISORDERS 277(2020):893-900. |
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