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1.
Nan Fang Yi Ke Da Xue Xue Bao ; 40(10): 1530-1538, 2020 Oct 30.
Article in Chinese | MEDLINE | ID: mdl-33118506

ABSTRACT

OBJECTIVE: To investigate the mental health status and its influencing factors among general population and healthcare professionals in Guangdong Province during COVID-19 pandemic. METHODS: A online questionnaire-based survey was conducted from March 11st to March 15th, 2020.The questionnaire consisted of 4 parts to survey the participants'basic information, understanding of COVID-19 outbreak-associated information, cognition of COVID-19 pandemic and status of anxiety and depression.A total of 1433 valid responses were collected, including 706 from the general population and 727 from healthcare professionals.Cronbach's α coefficient and exploratory factor analysis were used for reliability and validity assessment.Chi-square, Wilcoxon and Kruskal-Wallis test were used for univariate analysis and ordinal or nominal logistic regression was used for multivariate analysis of the data. RESULTS: There was no significant difference between the general population and the healthcare professionals in terms of anxiety, depression and cognition of COVID-19 outbreak after adjustment for demographic variables, but the levels of anxiety and depression of these participants were both higher than those before the pandemic.In the participants from the general population, multivariate logistic regressions showed an OR for anxiety of 1.93(1.18, 3.17) among those who spent 1-2 h a day in reading COVID-19-related news, while those who spent over 3 h had an OR value for anxiety of 1.88(1.14, 3.11);the unmarried individuals had a depression OR of 2.19(1.51, 3.18). Inaccurate cognition of COVID-19 outbreak was positive correlated with the occurrence of anxiety and depression.Unmarried individuals and those with higher educational levels had better cognition of COVID-19 outbreak.Among the healthcare professionals, multivariate logistic regressions suggested that insufficient rest time and worries about contracting the virus contributed to the occurrence of anxiety and depression.Among the nursing staff, the OR of obvious depression was 2.99(1.45, 6.18).Compared to healthcare professionals not working in designated hospital for COVID-19, those who work in the designated hospitals had ORs for obvious and severe depression of 0.48(0.25, 0.93) and 0.39(0.17, 0.89), respectively.Concerns over contracting the virus increased the possibility of incorrect cognition of COVID-19. CONCLUSIONS: Psychological interventions are essential for both the general population and healthcare professionals, especially for unmarried individuals in the general population and the nursing staff.An excessive exposure to COVID-19-related information may have detrimental effects on the mental health.For healthcare professionals, sufficient rest needs to be ensured, and education programs on COVID-19 should be implemented among both residents and healthcare professionals to improve their mental health.


Subject(s)
Anxiety , Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , Anxiety/epidemiology , COVID-19 , China/epidemiology , Health Status , Humans , Reproducibility of Results , SARS-CoV-2
2.
Int J Health Geogr ; 16(1): 7, 2017 02 20.
Article in English | MEDLINE | ID: mdl-28219378

ABSTRACT

The latest generation of virtual and mixed reality hardware has rekindled interest in virtual reality GIS (VRGIS) and augmented reality GIS (ARGIS) applications in health, and opened up new and exciting opportunities and possibilities for using these technologies in the personal and public health arenas. From smart urban planning and emergency training to Pokémon Go, this article offers a snapshot of some of the most remarkable VRGIS and ARGIS solutions for tackling public and environmental health problems, and bringing about safer and healthier living options to individuals and communities. The article also covers the main technical foundations and issues underpinning these solutions.


Subject(s)
City Planning/trends , Civil Defense/trends , Environmental Health/trends , Geographic Information Systems/trends , Public Health/trends , Video Games/trends , City Planning/methods , Civil Defense/methods , Environmental Health/methods , Humans , Public Health/methods , User-Computer Interface
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