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1.
J Affect Disord ; 331: 17-24, 2023 06 15.
Article in English | MEDLINE | ID: covidwho-2288128

ABSTRACT

BACKGROUND: Two years have passed since the 2019 novel coronavirus disease (COVID-19) was first reported. The persistent pandemic might lead to severe psychosomatic problems and fatigue. In addition, the recent rapid rising COVID-19 cases in China have become a trending issue. Therefore, this study aimed to investigate the dynamic changes in psychosomatic problems at the initial and current stages of the pandemic. METHODS: Three waves of cross-sectional online survey were conducted during the initial COVID outbreak in China. The psychosomatic symptom scale (PSSS), perceived stress scale (PSS), and pandemic fatigue scale (PFS) were used to assess the psychosomatic problems, stress, and fatigue. RESULTS: 4317, 1096, and 2172 participants completed the first, second, and third surveys. The prevalence of psychosomatic disorder was 22 %, 28 %, and 39 %, respectively. The network structure of PSSS symptoms has not significantly changed as the pandemic progresses. However, the global strength of the PSSS networks, indicating the overall connectivity, in the third wave was significantly higher than in the first wave (s = 0.54, P = 0.007). The most central symptoms in the first and third wave networks were depressed mood and tiredness. The PFS score was higher in the people concerned with indirect impact than those concerned with health (P < 0.001). PFS has positive relationships with PSSS and PSS score (R = 0.41, P < 0.001 and R = 0.35, P < 0.001, respectively). CONCLUSIONS: The persistence of the pandemic caused critical psychosomatic issues, stress, and indirect burden over time, leading to inevitable fatigue. People endured needing immediate attention to prevent or reduce psychosomatic disorders.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Psychophysiologic Disorders/diagnosis , Psychophysiologic Disorders/epidemiology , Pandemics , SARS-CoV-2 , Cross-Sectional Studies , Disease Outbreaks , Fatigue/epidemiology , Fatigue/etiology , China/epidemiology , Anxiety/epidemiology
3.
Gen Psychiatr ; 35(5): e100885, 2022.
Article in English | MEDLINE | ID: covidwho-2153026

ABSTRACT

Mental health is one of the major causes of disability worldwide, and mental health problems such as depression and anxiety are ranked among the top 25 leading causes of disease burden in the world. This burden is considerable over the lifetime of both men and women and in various settings and ages. This study aims to compare the mental health status of people in China and Pakistan and to highlight the mental health laws and policies during COVID-19 and afterwards. According to the literature on mental health, before the COVID-19 pandemic, mental health problems increased gradually, but during and after the COVID-19 pandemic, an abrupt surge occurred in mental health problems. To overcome mental health disorders, most (but not all) countries have mental health laws, but some countries ignore mental health disorders. China is one such country that has mental health laws and policies and, during the COVID-19 pandemic, China made beneficial and robust policies and laws, thereby succeeding in defeating the COVID-19 pandemic. The mortality rate and financial loss were also lower than in other countries. While Pakistan has mental health laws and general health policies, the law is only limited to paperwork and books. When it came to COVID-19, Pakistan did not make any specific laws to overcome the virus. Mental health problems are greater in Pakistan than in China, and China's mental health laws and policies are more robust and more widely implemented than those in Pakistan. We conclude that there are fewer mental health issues in China than in Pakistan both before and since the COVID-19 pandemic. China has strong mental health laws and these are robustly implemented, while the mental health law in Pakistan is not applied in practice.

4.
Aging (Albany NY) ; 13(4): 4811-4830, 2021 02 13.
Article in English | MEDLINE | ID: covidwho-1082565

ABSTRACT

Traditional Chinese medicine (TCM) had demonstrated effectiveness in the prevention and control of COVID-19. Statistics showed that Ephedra and Glycyrrhiza were frequently used in the treatment of COVID-19. We hypothesized that the Ephedra-Glycyrrhiza drug pair is a potential choice for the treatment of COVID-19. Here, 112 active compounds were identified from Ephedra-Glycyrrhiza via network pharmacology approach. Ephedra-Glycyrrhiza pair enrichment analysis demonstrated that these compounds might participate in the cAMP, PI3K-Akt, JAK-STAT and chemokine signaling pathways, which had a high correlation with respiratory, nervous, blood circulation and digestive system-related diseases. Pathway analysis between Ephedra-Glycyrrhiza and COVID-19 showed that the key targets were TNF-α, IL2, FOS, ALB, and PTGS2. They might control PI3K-Akt signaling pathway to exert immune regulation, organ protection and antiviral effects. Molecular docking results showed that the active compounds from the Ephedra-Glycyrrhiza pair bound well to COVID-19 related targets, including the main protease (Mpro, also called 3CLpro), the spike protein (S protein), and the angiotensin-converting enzyme 2 (ACE2). The Molecular dynamics simulation was analyzed for the stability and flexibility of the complex. In conclusion, our study elucidated the potential pharmacological mechanism of Ephedra-Glycyrrhiza in the treatment of COVID-19 through multiple targets and pathways.


Subject(s)
Antiviral Agents/pharmacology , COVID-19 Drug Treatment , Drugs, Chinese Herbal/pharmacology , Ephedra/chemistry , Glycyrrhiza/chemistry , SARS-CoV-2/drug effects , Angiotensin-Converting Enzyme 2/metabolism , Antiviral Agents/chemistry , Antiviral Agents/therapeutic use , COVID-19/metabolism , Drug Combinations , Drugs, Chinese Herbal/chemistry , Drugs, Chinese Herbal/therapeutic use , Humans , Molecular Docking Simulation , Protein Interaction Maps/drug effects , SARS-CoV-2/physiology , Signal Transduction/drug effects , Spike Glycoprotein, Coronavirus/metabolism
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