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Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio OR=5.618, 95% confidence interval CI) 2.136-14.776, P0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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Objective To investigate the mental health status of military healthcare workers in shelter hospitals in Shanghai during the epidemic caused by severe acute respiratory syndrome coronavirus 2 omicron variant and its influencing factors. Methods A total of 540 military healthcare workers in shelter hospitals in Shanghai were investigated with patient health questionnaire-9 (PHQ-9), generalized anxiety disorder-7 (GAD-7) and Athens insomnia scale (AIS) to explore their mental health status, and logistic regression was used to analyze the influencing factors. Results A total of 536 valid questionnaires were collected, with an effective rate of 99.3% (536/540). The incidence of depression, anxiety and insomnia among military healthcare workers in shelter hospitals in Shanghai was 45.5% (244/536), 26.1% (140/536) and 59.5% (319/536), respectively. Logistic regression analysis showed that whether people resided in Shanghai, the proportion of negative information in daily browsing information and diet status in shelter hospitals were the influencing factors of depression, anxiety and insomnia (all P<0.05);age and confidence in the future of Shanghai were the influencing factors of depression and insomnia (all P<0.05);and the time spent daily on epidemic-related information was an influencing factor of insomnia (P=0.021). Conclusion The incidence of depressive, anxiety and insomnia among military healthcare workers in shelter hospitals in Shanghai is high during the epidemic caused by severe acute respiratory syndrome coronavirus 2 omicron variant. Psychological consequences of the epidemic should be monitored regularly and continuously to promote the mental health of military healthcare workers.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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[Background] Front-line medical staff are an important group in fighting against Coronavirus Disease 2019 (COVID-19), and their mental health should not be ignored. [Objective] This study investigates the current situation and influencing factors of post-traumatic stress disorder (PTSD) among front-line anti-epidemic medical staff during COVID-19 epidemic. [Methods] Medical staff who had participated in fighting against the COVID-19 epidemic wereselected from three grade III Class A hospitals and four grade II Class A hospitals in a city of Hubei Province by convenient sampling method in May 2020. The survey was conducted online using the Post-traumatic Stress Checklist-Civilian Version (PCL-C) as the main survey tool to investigate current situation and characteristics of PTSD among these participants. A total of 1120 questionnaires were collected, of which 1071 were valid, and the effective rate was 95.6%. [Results] Of the 1071 participants, the average age was (32.59+/-5.21) years;the ratio of male to female was 1: 5.02;the ratio of doctor to nurse was 1:5.8;nearly 70% participants came from grade III Class A hospitals;married participants accounted for 75.4%;most of them held a bachelor degree or above (86.5%);members of the Communist Party of China (CPC) accounted for 22.9%;50.9% had junior titles;the working years were mainly 5-10 years (42.8%);more than 80.0% participants volunteered to join the front-line fight;95.1% participants received family support;43.0% participated in rescue missions;78.1% participants fought the epidemic in their own hospitals;more than 60% participants considered the workload was greater than before;34.4% participants fought in the front-line for 2-4 weeks, and 23.5% participants did for more than 6 weeks. There were 111 cases of positive PTSD syndromes (PCL-C total score >=38) with an overall positive rate of 10.4%, and the scores of reexperience [1.40 (1.00, 1.80)] and hypervigilance [1.40 (1.00, 2.00)] were higher than the score of avoidance [1.14 (1.00, 2.57)]. The results of univariate analysis revealed that PTSD occurred differently among participants grouped by age, political affiliation, working years, anti-epidemic activities location, accumulated working hours in fighting against COVID-19, having child parenting duty, voluntariness, family support, whether family members participated in front-line activities, and rescue mission assignment (P<0.05). The results of logistic regression analysis showed that the incidence rates of reporting PTSD syndromes in medical personnel aged 31-40 years (OR=0.346, 95%CI: 0.164-0.730) and aged 41 years and above (OR=0.513, 95%CI: 0.319-0.823) were lower than that in those aged 20-30 years;the incidence rates of reporting PTSD syndromes in medical staff who were CPC members (OR=0.499, 95%CI: 0.274-0.909), volunteered to participate (OR=0.584, 95%CI: 0.360-0.945), and received family support (OR=0.453, 95%CI: 0.222-0.921) were lower than those did not (P<0.05);the incidence rates of reporting PTSD syndromes among medical workers who had child parenting duty (OR=2.372, 95%CI: 1.392-4.042), whose family members participated in front-line activities (OR=1.709, 95%CI: 1.135-2.575), and who participated in rescue missions (OR=1.705, 95%CI: 1.133-2.565) were higher than those who did not (P<0.05). [Conclusion] The positive PTSD syndrome rate is 10.4% in the front-line anti-epidemic medical staff. Age, political affiliation, voluntariness, family support, having child parenting duty, with a family members participating in the fight, and rescue mission assignment are the influencing factors of PTSD.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P<0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P>0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P>0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio [OR]=5.618, 95% confidence interval [CI]) 2.136-14.776, P<0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P<0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P>0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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[Background] The epidemic of coronavirus disease 2019 (COVID-19) seriously affects the psychological status of medical staff who directly face the risk of the disease. [Objective] This study investigates the prevalence and related factors of depression, anxiety, and insomnia among medical staff during the COVID-19 pandemic. [Methods] From February 13 to March 1, 2020, a network questionnaire survey was conducted among 482 medical staff selected by convenience sampling. A self-designed questionnaire was used to investigate the basic demographic information and COVID-19-related questions. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI) were used to estimate the prevalence of depression, anxiety, and insomnia among the medical staff. Stepwise multiple linear regression analysis was performed with PHQ-9 score, GAD-7 score, and ISI score as dependent variables. Multivariate logistic regression analysis (forward-conditional method) on depression, anxiety, and insomnia as dependent variables was performed with basic demographic information and COVID-19-related questions as independent variables. [Results] Among the surveyed medical staff, the prevalence rates of depression, anxiety, and insomnia were 14.3%, 11.2%, and 23.2%, respectively. There were no significant differences in the prevalence rates among different age, gender, local risk level, and occupation groups and those aiding Hubei Province or not. The medical staff who directly contacted fever or diagnosed patients had more serious depression (b=1.73, 95%CI: 0.79-2.66) and insomnia (b=2.43, 95%CI: 1.48-3.39) and a higher risk of insomnia (OR=1.89, 95%CI: 1.21-2.96). The medical staff whose current protective measures cannot prevent infection had more serious depression (b=1.72, 95% CI: 0.65-2.80), anxiety (b=1.75, 95% CI: 0.76-2.75), and insomnia (b=1.73, 95% CI: 0.63-2.82), and had a higher risk of depression (OR=1.97, 95% CI: 1.11-3.49), anxiety (OR=3.00, 95%CI: 1.64-5.46), and insomnia (OR=1.79, 95%CI: 1.08-2.96). [Conclusion] During the COVID-19 epidemic, the risks of depression, anxiety, and insomnia among selected medical staff are increased compared with the non-epidemic period. Occupational exposure to high-risk groups and protective measures would significantly affect mental health of medical staff.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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BACKGROUND: Poverty vulnerability has been defined as the likelihood of a family falling into poverty in the upcoming months. Inequality is a major cause of poverty vulnerability in developing countries. There is evidence that establishing effective government subsidies and public service mechanisms significantly reduces health poverty vulnerability. One of the ways to study poverty vulnerability is by using empirical data such as income elasticity of demand to perform the analysis. Income elasticity refers to the extent to which changes in consumers' income affect changes in demand for commodities or public goods. In this work, we assess health poverty vulnerability in rural and urban China. We provide two levels of evidence on the marginal effects of the design and implementation of government subsidies and public mechanisms in reducing health poverty vulnerability, before and after incorporating the income elasticity of demand for health. METHODS: Multidimensional physical and mental health poverty indexes, according to the Oxford Poverty & Human Development Initiative and the Andersen model, were implemented to measure health poverty vulnerability by using the 2018 China Family Panel Survey database (CFPS) as the data source for empirical analysis. The income elasticity of demand for health care was used as the key mediating variable of impact. Our assessment was conducted by a two-level multidimensional logistic regression using STATA16 software. RESULTS: The first level regression indicates that the marginal utility of public mechanism (PM) in reducing urban and rural vulnerability as expected poverty on physical and mental health (VEP-PH&MH) was insignificant. On the other hand, government subsidies (GS) policies had a positive suppression effect on VEP-PH&MH to a relatively low degree. The second level regression found that given the diversity of health needs across individual households, i.e., the income elasticity of demand (HE) for health care products, PM and GS policies have a significant effect in reducing VEP-PH&MH in rural and urban areas. Our analysis has verified the significant positive impact of enacting accurate GS and PM policies on effectively reducing VEP-PH&MH in rural as well as urban areas. CONCLUSIONS: This study shows that implementing government subsidies and public mechanisms has a positive marginal effect on reducing VEP-PH&MH. Meanwhile, there are individual variations in health demands, urban-rural disparities, and regional disparities in the effects of GS and PM on inhibiting VEP-PH&MH. Therefore, special consideration needs to be given to the differences in the degree of health needs of individual residents among urban and rural areas and regions with varying economic development. Furthermore, considerations of this approach in the current worldwide scenario are analyzed.
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Mental Health , Poverty , Humans , Income , Delivery of Health Care , Rural Population , Financing, Government , ChinaABSTRACT
BACKGROUND: While the type and the number of treatments for Coronavirus Disease 2019 (COVID-19) have substantially evolved since the start of the pandemic a significant number of hospitalized patients continue to succumb. This requires ongoing research in the development and improvement of early risk stratification tools. METHOD(S): We developed a prognostic score using epidemiological, clinical, laboratory, and treatment variables collected on admission in 130 adult COVID-19 patients followed until in-hospital death (N.=38) or discharge (N.=92). Potential variables were selected via multivariable logistic regression modelling conducted using a logistic regression univariate analysis to create a combined index. RESULT(S): Age, Charlson Comorbidity Index, P/F ratio, prothrombin time, C-reactive protein and troponin were the selected variables. AUROC indicated that the model had an excellent AUC value (0.971, 95% CI 0.926 to 0.993) with 100% sensitivity and 83% specificity for in-hospital mortality. The Hosmer-Lemeshow calibration test yielded non-significant P values (chi2=1.79, P=0.99) indicates good calibration. CONCLUSION(S): This newly developed combined index could be useful to predict mortality of hospitalized COVID-19 patients on admission.Copyright © 2022 EDIZIONI MINERVA MEDICA.
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The pandemic increased poverty worldwide. However, the mechanisms affecting its determining factors still need to be clarified. This paper studies this problem using a probabilistic model of poverty extended with pandemic incidence variables and applying logistic regression at the household level. For the case of Ecuador, we use the December rounds of the 2019 and 2020 National Survey for Employment, Underemployment and Unemployment (ENEMDU), the administrative record of the Covid-19 epidemiological report, and the administrative history of deaths. The results show that the pandemic's impact on poverty was through the gender gap and labor market structure. (English) [ FROM AUTHOR] La pandemia incrementó la pobreza a nivel mundial. Sin embargo, no se tiene claridad sobre los mecanismos de afectación en sus determinantes. En el presente artículo se estudia este problema utilizando un modelo probabilístico de la pobreza extendido con variables de incidencia de la pandemia, y aplicando una regresión logística a nivel de hogar. Para el caso de Ecuador se utiliza las rondas de diciembre de la Encuesta Nacional de Empleo, Subempleo y Desempleo (ENEMDU) de 2019 y 2020, el registro administrativo del reporte epidemiológico de Covid-19 y el registro administrativo de defunciones. Los resultados muestran que los canales de impacto de la pandemia en pobreza se dieron a través de la brecha de género y la estructura del mercado laboral. (Spanish) [ FROM AUTHOR] Copyright of Problemas del Desarrollo. Revista Latinoamericana de Economía is the property of Universidad Nacional Autonoma de Mexico. Instituto de Investigaciones Economicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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During the COVID-19 pandemic, information concerning attendance at cultural activities and arts participation has not been fully explored. Thus, this manuscript aims to explore the factors related to attendance at cultural and artistic activities during the shutdown period. With that purpose, we use the 2018, 2019 and 2020 MODECULT datasets (n = 1994, n = 1978, n = 1663, respectively) to perform a logistic regression analysis. Results suggest that, during the COVID-19 pandemic, being young, high education attainment, interest in cultural activities, and being familiar with cultural and artistic activities are positively associated with attendance at plays, music performances, dance performances, exhibitions and movies. Contrary, availability of information, perception of prices, perception of free time and cultural offering near home show negative relationships with those same categories. These findings have relevant implications on cultural policies, regarding the aspects that affect culture and arts participation in crisis times. [ FROM AUTHOR] Copyright of Cultural Trends is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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The COVID-19 crisis provided an opportunity for information professionals to rethink the role of information in individuals' decision making such as vaccine uptake. Unlike previous studies, which often considered information as a single factor among others, this study examined the impact of the quantity and trustworthiness of information on people's adoption of information for vaccination decisions based on the information adoption model. We analyzed COVID-19 Preventive Behavior Survey data collected by the Massachusetts Institute of Technology from Facebook users (N = 82,213) in 15 countries between October 2020 and March 2021. The results of logistic regression analyses indicate that reasonable quantity and trustworthiness of information were positively related to COVID-19 vaccination intent. But excessive and less than the desired amount of information was more likely to have negative impacts on vaccination intent. The degrees of trust in the mediums and in the sources were associated with the level of vaccine acceptance. But the effects of trustworthiness accorded to information sources showed variations across sources and mediums. Implications for information professionals and suggestions for policies are discussed. © 2023 Association for Information Science and Technology.
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Objective: To analyze the occurrence and risk factors of drug-induced liver injury (DILI) in patients with novel coronavirus pneumonia (COVID-19). Method(s): The medical records of patients with COVID-19 who were discharged from the First Hospital of Changsha from January 15 to March 7, 2020 were collected and the patients were divided into the DILI group and the non-DILI group based on DILI diagnostic criteria. Basic information of patients in the 2 groups including gender, age, underlying diseases, classification of COVID-19, liver function test results on admission and after medication, drug use, time to DILI onset after medication, and treatments and outcomes of DILI were recorded and compared. The incidence of DILI in patients with COVID-19 was calculated, and the factors whose P<0.05 in inter-group comparison were included in the multivariate logistic regression analysis to calculate the odds ratio (OR) and95% confidence interval (CI). Result(s): A total of 203 discharged patients with COVID-19 met the inclusion criteria. Of them, 36 patients developed DILI, the incidence was 17.73%. Between the DILI group and the non-DILI group (167 patients), the differences were statistically significant in gender distribution, proportion of patients with underlying diseases such as hypertension, fatty liver, and cholelithiasis, clinical classification of COVID-19, and the kinds of drug use (P<0.05 for all), but not statistically significant in levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (TBil) on admission (P>0.05 for all). The levels of ALT and AST in patients in the DILI group after medication were higher than those before medication, and the differences were statistically significant (P<0.001 for all). The median time for time to DILI onset after medication was 8 (6, 11) days and none of the patients had obvious clinical signs and symptoms. After the occurrence of DILI, 16 patients stopped the suspicious drugs and received liver-protective treatments, 6 patients only stopped the suspicious drug without additional treatments, and 14 patients received liver-protective treatments without drug withdrawal. Among the 36 patients in the DILI group, liver function were improved in 34 patients but did not returned to normal in 2 patients when they were discharged from the hospital. Multivariate logistic regression analysis showed that male (OR=3.939, 95%CI: 1.426-10.883, P=0.008), being severe and critical in clinical classification (OR=6.433, 95%CI: 2.411-17.162, P<0.001), fatty liver (OR=3.815, 95%CI: 1.298-11.215, P=0.015), cholelithiasis (OR=16.347, 95%CI: 1.267-210.990, P=0.032), and the kinds of drug use >8 (OR=10.181, 95%CI: 3.606-28.744, P<0.001) were the independent risk factors of DILI in patients with COVID-19. Conclusion(s): The incidence of DILI in COVID-19 patients discharged from the First Hospital of Changsha is 17.73%. Male, being severe and critical in clinical classification of COVID-19, fatty liver, cholelithiasis, and the kinds of drug use >8 are the independent risk factors for DILI patients with COVID-19.Copyright © 2020 by the Chinese Medical Association.
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Objective: To analyze the risk factors of fatal outcome in patients with severe COVID-19. Method(s): The clinical characteristics of 107 patients with severe COVID-19 admitted in Renmin Hospital of Wuhan University from February 12 to March 12, 2020 were retrospectively analyzed. During the hospitalization 49 patients died (fatal group) and 58 patients survived (survival group). The clinical characteristics, baseline laboratory findings were analyzed using R and Python statistical software. The risk factors of fatal outcome in patients with severe COVID-19 were analyzed with multivariate logistic regression. Result(s): Univariate analysis showed that the two groups had statistically significant differences in age, clinical classification, dry cough, dyspnea and laboratory test indicators (P<0.05 or <0.01). The random forest model was used to rank the significance of the statistically significant variables in the univariate analysis, and the selected variables were included in the binary logistic regression model. After stepwise regression analysis, the patient's clinical type, age, neutrophil count, and the proportion of CD3 cells are independent risk factors for death in severe COVID-19 patients. Dry cough is an independent protective factor for the death of severe COVID-19 patients. Conclusion(s): COVID-19 patients with fatal outcome are more likely to have suppressed immune function, secondary infection and inflammatory factor storm. These factors may work together in severe patients, leading to intractable hypoxemia and multiple organ dysfunction and resulting in fatal outcome of patients. The study indicates that timely intervention and treatment measures against above factors may be effective to save the lives of patients with severe COVID-19.Copyright © 2020 by the Chinese Medical Association.
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Objective: To analyze the risk factors of fatal outcome in patients with severe COVID-19. Method(s): The clinical characteristics of 107 patients with severe COVID-19 admitted in Renmin Hospital of Wuhan University from February 12 to March 12, 2020 were retrospectively analyzed. During the hospitalization 49 patients died (fatal group) and 58 patients survived (survival group). The clinical characteristics, baseline laboratory findings were analyzed using R and Python statistical software. The risk factors of fatal outcome in patients with severe COVID-19 were analyzed with multivariate logistic regression. Result(s): Univariate analysis showed that the two groups had statistically significant differences in age, clinical classification, dry cough, dyspnea and laboratory test indicators (P<0.05 or <0.01). The random forest model was used to rank the significance of the statistically significant variables in the univariate analysis, and the selected variables were included in the binary logistic regression model. After stepwise regression analysis, the patient's clinical type, age, neutrophil count, and the proportion of CD3 cells are independent risk factors for death in severe COVID-19 patients. Dry cough is an independent protective factor for the death of severe COVID-19 patients. Conclusion(s): COVID-19 patients with fatal outcome are more likely to have suppressed immune function, secondary infection and inflammatory factor storm. These factors may work together in severe patients, leading to intractable hypoxemia and multiple organ dysfunction and resulting in fatal outcome of patients. The study indicates that timely intervention and treatment measures against above factors may be effective to save the lives of patients with severe COVID-19.Copyright © 2020 by the Chinese Medical Association.
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Background: Among the frontline healthcare workers who may encounter COVID-19 patients are medical students. It is critical to quickly reach high COVID-19 vaccination coverage rates in this population. They will be tasked with making vaccine recommendations and offering advice to people who are vaccine-resistant as future health-care providers. Aim and Objective: The present study was created to evaluate medical students' attitudes and behaviors about the COVID-19 immunization. Material(s) and Method(s): Following Institutional Review Board permission, the study was carried out at Texila American University's College of Medicine. A 15-item survey was completed by about 110 medical students to gauge their beliefs and actions on the COVID-19 vaccination. On statistical product and service solutions 16, descriptive analysis was used to analyze the data. Result(s): The majority of participants had favorable opinions toward vaccinations and believed that the COVID-19 immunization is crucial, but only 53% said that they would take part in a trial of the COVID-19 vaccine, and 65% said that they would not take the flu vaccine this flu season. The majority of students expressed the opinion that vaccinations are essential for maintaining health and that family members should also obtain them. Students who were ready to receive the vaccination right away were more inclined to believe in public health professionals, worry about side effects, and support vaccination laws. Conclusion(s): The study assessed medical students' attitudes and behaviors about receiving the COVID-19 vaccine and emphasizes the necessity for an educational curriculum regarding the vaccine's safety and efficacy to encourage uptake.Copyright © 2023 Jagan Nadipelly, et al.
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Aim: SARS CoV-2 transmission in healthcare personnel was first reported on January 20, 2020. The aim of this study was to evaluate the anxiety levels experienced by healthcare personnel in Turkey during the COVID-19 pandemic and the factors affecting these levels. Material(s) and Method(s): A survey investigating sociodemographic features and examining anxiety levels was conducted among approximately 1000 healthcare personnel who were expected to take active roles in the pandemic across Turkey. The survey was conducted in three stages: before the pandemic spread to Turkey, at the beginning of the pandemic and when the pandemic became prominent. A logistic regression analysis was performed to determine the factors affecting anxiety and predictors of anxiety levels. Result(s): In the first survey, always (odds ratio, 15.781;p<0.01) and often (odds ratio, 5.365;p<0.05) media use, in the second survey media use (p<0.05) and profession (odds ratio, 0.021;p<0.05) and in the third survey, marital status (odds ratio, 17.716;p<0.01) and gender (odds ratio, 4.431;p<0.05) were determined as the predictors of anxiety related to COVID-19. Discussion(s): As a result of this study, healthcare personnel groups were defined (women, nurses, married people) who need special intervention and support to provide spiritual comfort when working on the front line in the fight against COVID-19. Further comprehensive studies are needed of the extent of psychological support required by healthcare personnel and to whom and how this support should be provided.Copyright © 2022, Derman Medical Publishing. All rights reserved.
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Aim: "We're not just fighting an epidemic;we're fighting an infodemic," said World Health Organization Director-General Tedros Adhanom Ghebreyesus at the Munich Security Conference. In this context, we examined vitamin-mineral use frequency as influenced by cyberchondria, or E-health literacy level, and related factors during the coronavirus disease-2019 outbreak. Method(s): In this cross-sectional study, participants who were admitted to the outpatient clinics in a tertiary hospital between March 2021 and April 2021 were asked questions on socio-demographic data, the presence of vitamin and mineral use, and knowledge. The cyberchondria scores by the cyberchondria severity scale and the E-health literacy scores by the electronic health literacy scale were assessed based on nutrition type choice. The use of vitamins and minerals was compared between regular and non-regular supplement users. Factors related to the presence of nutritional supplement use were assessed through logistic regression analysis. Result(s): A total of 417 participants, including those aged 39.3+/-12.09 years, were found to be regular nutritional supplement users at a rate of 52.99% during the outbreak. The most commonly used supplements were vitamin D (62.8%), vitamin C (54.4%), vitamin B12 (39.6%), zinc (37.9%), magnesium (35.7%), and iron (33.60%). The least used supplement was melatonin (5.30%). Iron, calcium, and vitamin A users had a higher cyberchondria score than non-users (p=0.002, p=0.044, and p=0.030, respectively). However, zinc, selenium, magnesium, calcium, vitamin B6, vitamin C, omega-3 fish oil, and probiotic users had a higher E-health literacy score than non-users (p<0.001, p=0.018, p<0.001, p=0.009, p=0.047, p=0.018, p=0.002, p=0.002, respectively). Logistic regression analyses identified higher E-health literacy [odds ratio (OR)=1.077;95% confidence interval (CI): 1.042-1.115;p<0.001], female sex (OR=1,659;95% CI: 1,005-2,737;p=0.048), graduated from university (OR=2,536;95% CI: 1,009-6,374;p=0.048), presence of health professional's advice (OR=3,716;95% CI: 2,260-6,119;p<0.001) and chronic disease presence (OR=2,755;95% CI: 1,420-5,347;p=0.003) were predictors of supplement usage during the outbreak. Conclusion(s): Higher E-health literate women with comorbidities were likely nutritional supplement users during the outbreak, regardless of cyberchondria severity or age generation differences.Copyright © 2023 by The Medical Bulletin of Istanbul Haseki Training and Research Hospital The Medical Bulletin of Haseki published by Galenos Yayinevi.
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The purpose of this study is to statistically analyze the changes in the usage of domestic water in response to the COVID-19 pandemic and other relavant factors. In this analysis, the results of a questionnaire survey on water use and the basic unit water volume of each household were used. Specifically, focusing on the ratio of the basic unit water volume in FY2020 (during COVID-19) to FY2019 (before COVID-19), households larger than the standard are referred to as "high group" and households smaller than the standard are referred to as "low group". The binary variables were set as outcomes, and statistical tests of differences and logistic regression analysis were performed. As a result of the analysis, it was clarified that the "change in the number of washings" and "change in the number of cooking for dinner" contributed largely to the group with a high water volume ratio. It was also determined that higher changes in the water volume ratio tended to occur in households that did not include the elderly (65 years old or older) as family members.Alternate :抄録 本研究の目的は，水使用に関するアンケート調査結果と当該世帯の原単位水量データを用い，コロナ禍における生活用水の利用状況に関する変化とその要因を統計的に分析することである．具体的には，2019年度（コロナ禍前）に対する2020年度（コロナ禍）の原単位水量の比（前年比）に着目し，基準より大きい世帯を「高値群」，小さい世帯を「低値群」とした2値変数をアウトカムに設定し，差の検定及びロジスティック回帰分析を実施した．分析の結果，水量前年比の高値群に「洗濯回数変化」及び「夕食調理回数変化」が寄与する要因となることが明らかとなった．また，家族構成員に高齢者（65歳以上）を含む世帯に比べ，それを含まない世帯での水量前年比の増加変化が多く確認された点も特徴的である．
ABSTRACT
Objective: To assess the frequency and correlation of GI manifestations with outcomes in hospitalized patients suffering from COVID-19. Study Design: Retrospective Cohort study. Setting: Tertiary Care Hospital, Gujrat. Period: April 1st, 2020 to March 31st, 2021. Material & Methods: Medical records were collected retrospectively from six hundred eighty eight COVID-19 patients having complete charts. Among them male were 364 (52.91%). Incomplete charts were excluded from the study. Multivariate logistic regression analysis was used after adjusting for co-morbidities and clinical demographics. Results: Most of the patients with COVID-19 presented with cough (38.44%), dyspnea (37.53%), and fever (34.34%), while GI symptoms were noted in 25.92% of patients. Among them diarrhea was in 12.83%, nausea and vomiting in 10.53%, diminished hunger 9.32%, and abdominal discomfort 3.83%. Mortality, admission to ICU and need for intubation was more common among patients with diarrhea. (p = 0.006). Conclusion: Gastrointestinal (GI) manifestations are common in patients with COVID-19. Among them patients with diarrhea were more prone to admission to intensive care unit, intubation and death so patients with COVID-19 should be questioned for GI symptoms also. Medical professionals should know that diarrhea may be an indicator of severity of disease and its effect on prognosis of patient. [ABSTRACT FROM AUTHOR] Copyright of Professional Medical Journal is the property of Professional Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)