About: Public mental health under the long-term influence of COVID-19 in China: geographical and temporal distribution

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Public mental health under the long-term influence of COVID-19 in China: geographical and temporal distribution Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Public mental health under the long-term influence of COVID-19 in China: geographical and temporal distribution
Creator	Qi, Ling Qian, Wei Li, Zezhi Liu, Zhengkui Ren, Yali Song, Xiuli Wang, Ruoxi Yang, Jiezhi Zeng, Lingyun Zhang, Xiangyang Zhou, Yongjie Affiliations, I
source	Elsevier; PMC
abstract	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. And 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.
has issue date	2020-08-24(xsd:dateTime)
bibo:doi	10.1016/j.jad.2020.08.045
has license	no-cc
sha1sum (hex)	47171f29bd284855acc1d7d7b64afb0c2a3b84c7
schema:url	https://doi.org/10.1016/j.jad.2020.08.045
resource representing a document's title	Public mental health under the long-term influence of COVID-19 in China: geographical and temporal distribution
has PubMed Central identifier	PMC7444470
schema:publication	J Affect Disord
resource representing a document's body	covid:47171f29bd284855acc1d7d7b64afb0c2a3b84c7#body_text
is schema:about of	named entity 'Highlights' named entity 'OUTBREAK' named entity 'studies' named entity 'mental health' named entity 'major' named entity 'mental health' named entity 'long-term' named entity 'anxiety disorder' named entity 'COVID-19 pandemic' named entity 'mental disorders' named entity 'Microsoft Office Excel' named entity 'cognition' named entity 'public health' named entity 'May 17' named entity 'COVID-19 pandemic' named entity 'depressive symptoms' named entity 'COVID' named entity 'RISC' named entity 'PHQ-9' named entity 'Pneumonia' named entity 'ISI' named entity 'ASDS' named entity 'mental health problems' named entity 'general population' named entity 'COVID-19 pandemic' named entity 'RISC' named entity 'Shanghai Mental Health Center' named entity 'March 24' named entity 'China' named entity 'psychological distress' named entity 'Psychological resilience' named entity 'insomnia' named entity 'correlation' named entity 'February 20' named entity 'China' named entity 'de Sousa' named entity 'general population' named entity 'suicide' named entity 'China' named entity 'clinical depression' named entity 'smokers' named entity 'infection' named entity 'Chinese Academy of Sciences' named entity 'psychological status' named entity 'COVID-19 pandemic in China' named entity 'psychological status' named entity 'employment status' named entity 'mental disorders' named entity 'anxiety disorder' named entity '2019 coronavirus disease' named entity 'snowball sampling' named entity 'diagnostic criteria' named entity 'prevention and control' named entity 'global pandemic' named entity 'Shanghai' named entity 'emotional state' named entity 'China' named entity 'Chinese culture' named entity 'ASDS' named entity 'ASDS' named entity 'stay at home' named entity 'psychological condition' named entity 'case fatality rate' named entity 'Somatization' named entity 'ASDS' named entity 'insomnia' named entity 'depression' named entity 'internal consistency' named entity 'China' named entity 'snowball sampling' named entity 'mental health' named entity 'SPSS Inc.'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software