Resilience, coping style, and COVID-19 stress: effects on the quality of life in frontline health care workers.

The aims of the study were to assess the contribution of resilience, coping style, and COVID-19 stress on the quality of life (QOL) in frontline health care workers (HCWs). The study was a cross-sectional surveyperformed among 309 HCWs in a tertiaryhospital during the outbreak of COVID-19 in China. Data were collected through an anonymous, self-rated questionnaire, including demographic data, a 10-item COVID-19 stress questionnaire, Generic QOL Inventory-74, Connor-Davidson Resilience Scale, and the Simplified Coping Style Questionnaire. Hierarchical regression was used to analyse the relationship between the study variables and the QOL. Among the 309 participants, resilience and active coping were positively correlated with the QOL (P<0.001), whereas, working in confirmed case wards, COVID-19 stress, and passive coping were negatively correlated with the QOL (P<0.001). Resilience and the active coping were negatively correlated with COVID-19 stress (P<0.001). Resilience, coping style,and COVID-19 stressaccounted for 32%, 13%, and 8% of the variance in predicting the Global QOL, respectively. In conclusion, working in confirmed COVID-19 case wards and COVID-19 stress impaired the QOL in HCWs. Psychological intervention to improve the resilience and coping style, and reduce COVID-19 stress are important in improving the QOL and mental health of HCWs.

Encoded error calibration for a coded aperture spectrometer based on deconvolution.

The principle of a 2D coded aperture spectrometer is described in this paper. The crosstalk of adjacent rows, which is caused by the optical system's point-spread function and the nonuniform illumination of the apertures, is the main source of the system decoded errors. Through the analysis of the effect of the crosstalk and nonuniform illumination on the decoded spectrum, the encoding matrix is modified. Based on the new encoding equation, an algorithm using Gold's deconvolution method is proposed to remove the crosstalk of adjacent rows. In the end, we evaluate the effect of this method through a series of contrast experiments.

Anxiety and depression in frontline health care workers during the outbreak of Covid-19.

BACKGROUND: The pandemic of coronavirus disease (Covid-19) seriously impacts the health and well-being of all of us. AIMS: We aim to assess the psychological impact of Covid-19 on frontline health care workers (HCWs), including anxiety, depression and stress of threat of the disease. METHOD: The study was a cross-sectional survey among the frontline HCWs in a hospital at Jinan, China. Data were collected through an anonymous, self-rated questionnaire, including basic demographic data, a 10-item Covid-19 stress questionnaire, the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS). The risk and rate of anxiety, depression and stress of Covid-19 were estimated. RESULTS: Among the 309 participants, there were 88 (28.5%) with anxiety and 172 (56.0%) with depression. Multivariate logistic regression analyses showed that age ⩽ 30 years, age > 30 to 45 years, working in confirmed case isolation wards, and worrying about disinfection measures being not sufficient were independently associated with anxiety with an odds ratio (95% confidence interval, CI) of 4.4 (1.6-12.2), 3.1 (1.1-8.8), 2.3 (1.4-4.0) and 2.5 (1.5-4.3), respectively; age ⩽ 30 years, age > 30 to 45 years, nurse and worrying about disinfection measure being not sufficient were independently associated with depression with an odds ratio (95% CI) of 3.8 (1.8-7.8), 2.7 (1.3-5.7), 2.5 (1.1-5.6) and 2.1 (1.3-3.5), respectively. CONCLUSIONS: A high prevalence of anxiety and depression was found among frontline HCWs during the COVID-19 outbreak. More psychological care should be given to young staffs and nurses. Measures to prevent professional exposure is important for HCWs' physical and mental health.

Effects of particulate matter on allergic respiratory diseases.

The health impact of airborne particulate matter (PM) has long been a concern to clinicians, biologists, and the general public. With many epidemiological studies confirming the association of PM with allergic respiratory diseases, an increasing number of follow-up empirical studies are being conducted to investigate the mechanisms underlying the toxic effects of PM on asthma and allergic rhinitis. In this review, we have briefly introduced the characteristics of PM and discussed its effects on public health. Subsequently, we have focused on recent studies to elucidate the association between PM and the allergic symptoms of human respiratory diseases. Specifically, we have discussed the mechanism of action of PM in allergic respiratory diseases according to different subtypes: coarse PM (PM2.5-10), fine PM (PM2.5), and ultrafine PM.

[Serum Ferritin Level - Risk Factors of Myelodysplastic Syndrome Prognosis].

OBJECTIVE: To investigate whether serum ferritin (SF) level may be used as a indicator for predicting mortality of patients with myelodysplastic syndrome (MDS). METHODS: A total of 151 patients with MDS were followed up in our study, their blood routine indicators, bone marrow blasts and SF level were detected. All of the patients were divided into the dead group and survival group. RESULTS: The average survival time of all patients was 30.0 ± 10.86 months. There were statistical differences in age, IPSS score, chromosome grouping and SF level between 2 groups (P < 0.05). COX model analysis showed that age, MDS type, IPSS score, chromosome grouping and SF level all were related with mortality of patients with MDS, which were risk factors of death for patients with MDS (P < 0.05). The receiver-operating characteristic curve (ROC) area for SF was 0.826 with a Cut off value of 622.95, the sensitivity and specificity was 77.5% and 75% respectively. Log-rank test showed that the mortalities of patients with different levels of SF were statistically and very significantly different (P < 0.01). CONCLUSION: The age, IPSS score, chromosome grouping and SF level closely correct with mortality of the patients with MDS, the SF level may be considered as a predictor of death for MDS patients.