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1.
Soc Work ; 68(2): 141-149, 2023 03 16.
Article in English | MEDLINE | ID: covidwho-2222760

ABSTRACT

This study aims to examine whether social work services can improve migrant children's social engagement during the COVID-19 pandemic in urban China. Valid questionnaires of 416 migrant children in Guangzhou were obtained as the samples. Two regression models were employed to analyze the factors associated with social engagement. The results show that during the pandemic, migrant children with higher self-efficacy, higher community social capital, and better social inclusion tended to have higher social engagement. Among the three dimensions of social capital, only community social capital has a significant positive effect on migrant children's social engagement. The degree of social inclusion of migrant children affects their social engagement. Social work services are beneficial to promoting the social engagement of migrant children. The research has implications for the practice of child social workers. First, it is important to cultivate migrant children's self-efficacy to promote social engagement. Second, social workers should build the social capital of the communities where migrant children live to promote the social engagement of this group. Third, social workers should strengthen support for migrant children's learning during the COVID-19 pandemic.


Subject(s)
COVID-19 , Transients and Migrants , Humans , Child , Pandemics , East Asian People , Social Participation , Social Work , China/epidemiology
2.
Aging (Albany NY) ; 13(9): 12466-12478, 2021 04 25.
Article in English | MEDLINE | ID: covidwho-1202267

ABSTRACT

Activated protein C (APC) is an anticoagulant with potent cytoprotective and anti-inflammatory effects. K150del, a natural variant of APC, is associated with reduced anticoagulant activity. We performed a comprehensive study to analyze the functional alterations of the K150del mutant. Transcriptome analysis of HEK 293T cells treated with wild and mutant APC revealed differentially expressed genes enriched in inflammatory, apoptotic, and virus defense-related signaling pathways. Both wild and mutant APC displayed concentration-dependent cytoprotective effects. Low concentrations of K150del mutant resulted in decreased anti-inflammatory and anti-apoptotic activities, whereas its higher concentrations restored these effects. Expression of virus defense-related genes improved in mouse lung tissues after repeated administration of the APC variant. These results suggest that the APC K150del mutant could help clinicians to accurately predict disease risks and serve as a potential auxiliary therapeutic in viral infections, including 2019 coronavirus disease (COVID-19).


Subject(s)
COVID-19 , Protein Kinase C/genetics , Protein Kinase C/metabolism , Animals , HEK293 Cells , Humans , Mice , Polymorphism, Single Nucleotide , SARS-CoV-2
3.
Thromb Res ; 201: 23-29, 2021 05.
Article in English | MEDLINE | ID: covidwho-1093233

ABSTRACT

OBJECTIVES: Coronavirus disease 2019 (COVID-19) is a novel infectious disease, with significant morbidity and mortality. This meta-analysis is to evaluate the prevalence of disseminated intravascular coagulation (DIC) in COVID-19 patients and to determine the association of DIC with the severity and prognosis of COVID-19. METHODS: We searched the PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI) database until August 12, 2020. The meta-analysis was performed using Stata 16.0 software. RESULTS: 14 studies were included in our meta-analysis. The pooled analysis revealed that the incidence of COVID-19 patients developing DIC was 3% (95%: 1%-5%, P < 0.001). In addition, deaths were more likely to be associated with DIC (Log OR = 2.46, 95% CI: 0.94-3.99, P < 0.001) with statistical significance. CONCLUSIONS: DIC is associated with the severity and poor prognosis of COVID-19 patients. Therefore, attention should be paid to coagulation dysfunction in COVID-19 patients. Monitoring of coagulation indicators may improve the prognosis of COVID-19 inpatients.


Subject(s)
COVID-19 , Disseminated Intravascular Coagulation , China , Disseminated Intravascular Coagulation/epidemiology , Humans , Incidence , SARS-CoV-2
4.
Asian Social Work and Policy Review ; n/a(n/a), 2020.
Article in English | Wiley | ID: covidwho-1003940

ABSTRACT

Abstract After the spread of COVID-19, the Chinese central government has issued a series of policies and regulations to guide the prevention and control of the epidemic in the elderly care industry. Social workers provided a series of services for older adults in nursing homes and in the community. All efforts made by government agencies and social workers have helped older adults go through the difficult time.

5.
Aging (Albany NY) ; 12(24): 24579-24595, 2020 11 21.
Article in English | MEDLINE | ID: covidwho-946448

ABSTRACT

The outbreak of coronavirus disease 2019 (COVID-19) initially occurred in December 2019 and triggered a public health emergency. The increasing number of deaths due to this disease was of great concern. Therefore, our study aimed to explore risk factors associated with COVID-19 deaths. After having searched the PubMed, EMBASE, and CNKI for studies published as of August 10, 2020, we selected articles and extracted data. The meta-analysis was performed using Stata 16.0 software. Nineteen studies were used in our meta-analysis. The proportions of comorbidities such as diabetes, hypertension, malignancies, chronic obstructive pulmonary disease, cardio-cerebrovascular disease, and chronic liver disease were statistically significantly higher in mortal COVID-19 cases. Coagulation and inflammatory markers, such as platelet count, D-dimer, prothrombin time, C-reactive protein, procalcitonin, and interleukin 6, predicted the deterioration of the disease. In addition, extracorporeal membrane oxygenation and mechanical ventilation predicted the poor prognosis during its progression. The COVID-19 pandemic is still evolving, placing a huge burden on healthcare facilities. Certain coagulation indicators, inflammatory indicators, and comorbidities contribute to the prognosis of patients. Our study results may help clinicians optimize the treatment and ultimately reduce the mortality rate.


Subject(s)
COVID-19/epidemiology , SARS-CoV-2 , Survivors , Aged , Aged, 80 and over , Biomarkers , COVID-19/diagnosis , COVID-19/mortality , COVID-19/virology , Comorbidity , Humans , Middle Aged , Odds Ratio , Population Surveillance , Publication Bias , Risk Factors
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