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PM2.5 was continuously collected in Ho Chi Minh City (HCMC), Vietnam, during the period from September 2019 to August 2020, which included the period of socioeconomic suppression caused by restrictions imposed in the face of the coronavirus disease of 2019. The concentrations of PM2.5 mass, water-soluble ions (WSIs), organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC) were determined to evaluate the seasonal variations in PM2.5, the effect of socioeconomic suppression on PM2.5, and potential PM2.5 sources in HCMC. The PM2.5 mass concentration during the sampling period was 28.44 +/- 11.55 mu g m(-3) (average +/- standard deviation). OC, EC, and total WSIs accounted for 30.7 +/- 6.6%, 9.7 +/- 2.9%, and 24.9 +/- 6.6% of the PM2.5 mass, respectively. WSOC contributed 46.4 +/- 10.1% to OC mass. NO3-, SO42-, and NH4+ were the dominant species in WSIs (72.7 +/- 17.7% of the total WSIs' mass). The concentrations of PM2.5 mass and total WSIs during the rainy season were lower than those during the dry season, whereas the concentrations of carbonaceous species during the rainy season were higher. The concentrations of PM2.5 mass and chemical species during the socioeconomic suppression period significantly decreased by 45%-61% compared to the values before this period. The OC/EC ratio (3.28 +/- 0.61) and char-EC/soot-EC (4.88 +/- 2.72) suggested that biomass burning, coal combustion, vehicle emissions, cooking activities are major PM2.5 sources in HCMC. Furthermore, the results of a concentration-weighted trajectory analysis suggested that the geological sources of PM2.5 were in the local areas of HCMC and the northeast provinces of Vietnam (where coal-fired power plants are located).
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In order to slow the COVID-19 pandemic's rapid spread and put an end to it, the world needs to take extraordinary action. The knowledge, attitude, and practises (KAP) of outpatients concerning COVID-19 have an impact on the adherence to control measures. As a result, this research serves as a baseline analysis to assess Knowledge, Attitude, and Practice and serve as the foundation for our mitigation efforts. The outpatients were given this self-administrated survey. The ten-item survey was created in a way that allowed for an accurate evaluation of the knowledge, attitude, and practise components. Using SPSS software, the statistical analysis was conducted. The replies from the Google sheet were loaded into SPSS after being exported to Excel. Data were described using frequency and percentages, and chi square analysis was conducted to see whether there was any correlation between the variables. 85 outpatients in total took part in the survey. While 80% of the participants were aware of the life trajectory of Covid-infected individuals and 77.6% of them paid close attention to government directives, the overall level of awareness about COVID-19 and its prevention was rather high. 54.12% of the participants used hand sanitizer and wore masks constantly. The outcomes indicated that the participants had sound knowledge and a positive outlook. To combat this epidemic, media propaganda and instructional video production must continue to be produced and distributed. © 2023 IEEE.
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Background : Depressive symptoms in middle-aged and older age bipolar disorder (BD) are associated with decreased quality of life and premature mortality. Yet, currently available pharmacological treatments are limited in efficacy. Mind-body interventions have been shown to improve mood, quality of life, and cognition in other adult populations, and may thus provide a promising therapeutic alternative. Here we conduct the first randomized controlled trial (RCT) examining the efficacy of a group Qigong/Tai Chi intervention (QT-BD) for reducing depressive symptoms in middle-aged and older adults with BD. As a further innovation during the COVID pandemic, we used Zoom to deliver the group intervention and active control. Methods : We conducted a virtually-delivered 12-week pilot RCT with 23 patients with BD aged >= 40 comparing a QT-BD intervention versus an active control (light exercise). We assessed depressive symptoms (primary outcome), verbal fluency (secondary outcome), and functioning/quality of life (exploratory outcomes) at baseline and 12-weeks. Results : No statistically significant differences were observed between groups for all outcomes (all p's>0.05). However, non-significant decreases in depressive symptoms were found in the subgroup of participants with baseline MADRS scores ≥10 in the QT-BD intervention only (p=0.07). Limitations : Our sample size was limited and the virtually-delivered format may have limited the positive benefits of face-to-face interventions. Conclusions : This novel pilot study suggests that QT-BD may be a feasible and efficacious intervention for reducing depressive symptoms in middle- and older-aged BD, particularly when baseline MADRS is ≥10, warranting further investigation in larger-scale trials.
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The research subject of this paper is the analysis of the attitudes of employees in pharmaceutical companies towards the business aspects of the pharmaceutical industry during and after the end of the pandemic in the Republic of Serbia. The aim is to examine the differences in the attitudes of employees, as well as to determine which variables predict the situations of endangering the professional reputation of pharmaceutical companies during the COVID-19 pandemic. The research was conducted by means of a survey during 2021 on a sample of 27 innovative and generic pharmaceutical companies. We used the SPSS program for descriptive statistics analysis, chi square test and binary logistic regression models. The findings show that there is a statistically significant difference in the expressed attitudes of employees in innovative and generic pharmaceutical companies in terms of coming to the office during the pandemic;the lack of medicines and medical devices used in the treatment of COVID-19 infections;the patient access to a chosen doctor;the expectations of the employees to continue working from home after the outbreak of the COVID-19 pandemic. The findings of the binary regression models show the slowdown in the supply chain, the access to doctors and working from the home office have not been perceived as creating situations of endangering professional reputations, that is, they contribute to the sustainable economic success. On the other hand, the introduction of digital technologies decreases the occurrence of conditions in which their professional reputation has been threatened.
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Background. Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms among Chinese nurses via machine learning (ML). Aim. To predict nurses' depressive symptoms and identify the relevant factors by machine learning (ML) algorithms. Methods. A self-administered smartphone questionnaire was delivered to nurses to evaluate their depressive symptoms;1,431 questionnaires and 28 internal and external features were collected. In the training set, the use of maximum relevance minimum redundancy ranked the features' importance. Five ML algorithms were used to establish models to identify nurses' depressive symptoms using different feature subsets, and the area under the curve (AUC) determined the optimal feature subset. Demographic characteristics were added to the optimal feature subset to establish the combined models. Each model's performance was evaluated using the test set. Results. The prevalence rate of depressive symptoms among Chinese nurses was 31.86%. The optimal feature subset comprised of sleep disturbance, chronic fatigue, physical fatigue, exhaustion, and perceived organisation support. The five models based on the optimal feature subset had good prediction performance on the test set (AUC: 0.871–0.895 and accuracy: 0.798–0.815). After adding the significant demographic characteristics, the performance of the five combined models slightly improved;the AUC and accuracy increased to 0.904 and 0.826 on the test set, respectively. The logistic regression analysis results showed the best and most stable performance while the univariate analysis results showed that external and internal personal features (AUC: 0.739–0.841) were more effective than demographic characteristics (AUC: 0.572–0.588) for predicting nurses' depressive symptoms. Conclusions. ML could effectively predict nurses' depressive symptoms. Interventions to manage physical fatigue, sleep disorders, burnout, and organisational support may prevent depressive symptoms.
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Background: The COVID-19 (Coronavirus Disease of 2019) virus has affected millions of people around the world, and it is likely to induce mental health issues in those who have never had one before, as well as worsen the condition of those who already have. Objective(s): To determine the effect of COVID-19 on mental health and quality of life. Methodology: The non-probability convenient sampling strategy was utilized in this cross-sectional research. A sample of 300 Males and Female with age above 30 who have gone through COVID-19 and recovered before one month or more are included in the study. All patients who already had cognitive issues even before COVID-19 were excluded from the study. The study variables were measured using the MMSE (mental health) and WHOQOL-BREF (quality of life). Result(s): The results revealed that 128 participants (43%) of the respondents were male and 172 participants (57%) were female. The findings showed that 32 people were with normal mental health, 100 were with mild and 36 were with moderate mental health between the ages of 30-39. 52 people were with normal mental health, 24 were with mild and no one was with moderate mental health between the ages of 40-49. 4 people were with normal mental health, 4 were with mild and 24 were moderate mental health between the ages of 50-59. 12 people were with normal mental health with, 4 were with mild and no one was with moderate mental health between the ages of 60-69. The results also showed that there was a significant association between mental health and quality of life. chi-square test of independence showed significant association between mental health and quality of life with 2 (N = 300) = 600.0, p = .000. The findings showed that people with normal mental health had very good quality of life, people with mild mental health have poor quality of life and people with moderate mental health have very poor quality of life. Conclusion(s): It was concluded from the study that COVID-19 has badly effected mental health and quality of life of the patients suffered from coronavirus.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.
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Numerous studies have captured the experiences of teachers teaching online, but the current 'emergency' to teach online is unprecedented and has been challenging. Grounded in the theory of cognitive dissonance, this paper attempts to recapitulate the experiences of university teachers and analyses whether they have developed the consonant cognitions to teach online during the pandemic period or would they prefer switching back to 'normal' teaching as soon as the circumstances permit. Technology-enabled teaching has been found to be complex as it mandates teaching in a computerised setting and lacks an element of social interaction, which is at the heart of face-to-face teaching. Using Structural Equation Modelling, this study presents the determining factors that motivate teachers to embrace technology-driven teaching more convincingly. The study finds that in the absence of adequate training imparted to the teachers for developing technological and pedagogical knowledge (TPK), high psychological capital and facilitating conditions are the two most important factors ensuring teaching proficiency, creating positive online experiences and a continued intention to teach online.
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The global experience of health care financing systems, acquired as a result of the geoeconomic pandemic crisis of 2020-2022, requires a deep systemic retrospective study. It is substantiated that the SARS-CoV-2 coronavirus pandemic showed the weakness ofthe healthcare systems of the EU and Ukraine. However, it is advisable to consider it as a powerful multisystem trigger and catalyst for the transformation of healthcare sys-tems, the maximum impact of which is predicted in the financial and logistics sectors, which are considered the weakest link of local healthcare systems. It was determined that during the period of geo-economic pandemic instability, a fun-damental difference in ensuring the functioning of healthcare systems was clearly out-lined. The needfor a constructive redistribution of limited financial resources to combat the pandemic was combined with a global shortage of unique specialized resources. I n the process of analysis, the economic, epidemiological, and social effectiveness of the use ofthe Government Stringency Index (GSI), the Containment and Health Index (CHI) and Global Health Security Index (GHS) are emphasized. The study confirmed that during the period of geo-economic instability in the EU, the concept of global collective responsibility and increasing the sustainability of the health care financing system was conceptualized within the scope of the European Health Emergency Preparedness and Response Authority (HERA);EU4Health programs;single digital European health data space. The authors to introduce the concept of modification stability of health care financing systems, which is understood as process of transformation of the health care financing system, which make it possible to overcome unforeseeable variations of external and internal influences not with the aim of preventing their relapse, but with the prospect of stable recovery and self-improvement
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The course of a new coronavirus infection is associated with immune system disorders during the acute stage of the desease. Administration of effective etiotropic drugs contributes to early elimination of the virus. At the same time, risks of post-COVID immune system disorders are minimized. The aim of the study was to investigate features of the immune response formation against the background of etiotropic therapy in patients who underwent COVID-19. Material and methods. An observational retrospective comparative study was conducted. The study involved patients with COVID-19 3 months after treatment with etiotropic drugs (riamilovir or umifenovir). The study involved 87 patients (52 women and 35 men) with varying degrees of COVID-19 severity. In accordance with the study design, participants were divided into 2 groups: the first group - 41 patients (received riamilovir during the acute period of the disease);the second group - 46 patients (received umifenovir in the acute period of the disease). Statistical processing of the results was carried out using the Statistica 8.0 software package. Extensive indicators, median (Me) and interquarter range Q25-Q75 were calculated. Statistical significance between the indicators of independent samples was assessed by Mann-Whitney nonparametric test and Chi-square test. P-values below 0.05 were considered statistically significant. Results and discussion. Analysis of clinical and laboratory data showed that after suffering COVID-19, not all indicators of the immune system in patients who had had COVID-19 recovered to control values. However, it is noted that in patients of the main group, which using riamilovir, compared to the comparison group was less likely to be diagnosed with chronic systemic syndrome, inflammation, dysregulation of the cellular link of immunity in the early post-COVID period.Copyright © Eco-Vector, 2022.
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BACKGROUND: Almost half of people living with HIV (PLWH) in the USA are over 50 years of age; this is expected to increase to 70% by 2020. Yet, few interventions exist for older PLWH that address psychological and physical symptoms combined, both prevalent in this population. There is a need to find innovative and accessible interventions that can help older PLWH to manage their symptoms. Mind-body interventions, like tai chi/qigong (TCQ), improve both physical and psychological health. TCQ is a series of slow, low-impact meditative movements that integrates breathwork, meditation, and stances. METHODS: The present study is an exploratory clinical trial that will evaluate the acceptability and feasibility of a 12-week, small group TCQ intervention (n = 24), a sham qigong control condition (n = 24), and a standard of care control condition (n = 24) for older people living with HIV/AIDS. It will also explore any preliminary associations between the TCQ intervention and symptom alleviation. Participants will be recruited from community-based health and social services organizations in Miami, FL, and randomized to one of the 3 conditions. DISCUSSION: We will assess feasibility and acceptability through questionnaires and adherence to TCQ. We will assess preliminary associations with symptoms such as depression, anxiety, social support, chronic HIV-related fatigue, and clinical outcomes. These will be described through proportions, means, and changes over time through graphing techniques. Outcomes will be assessed at baseline, at post-intervention, and at 3 months follow-up. These preliminary analyses also will provide information necessary to estimate effect size and power needed for a larger clinical trial. TRIAL REGISTRATION: ClinicalTrials.gov NCT03840525 . Registered on 16 July 2018.
Subject(s)
HIV Infections , Qigong , Tai Ji , Aged , HIV Infections/diagnosis , HIV Infections/therapy , Humans , Mind-Body Therapies , Quality of LifeABSTRACT
The lack of public spaces, recreational areas, and sports facilities in older city neighborhoods, as well as the importance of people's social and economic well-being, have been exposed by the COVID-19 pandemic. Revitalization is used to update the physical environment of old neighborhoods;it improves not only the physical environment of the neighborhood, but also contributes to ensuring the social and economic well-being of the residents. The article aims to identify which typical revitalization project solutions, only referring to physical environmental improvement projects, improve the social and economic well-being of the residents. To achieve this goal, a statistical analysis of the Žirmūnai triangle residents was performed with obtained survey data. The hypothesized connections between typical revitalization solutions and changes in the social and economic well-being of the population were verified using Pearson's Chi-Square test. The results showed that the public spaces, sports, and playgrounds provided by revitalization were directly related to the social and economic well-being of the residents. As a result of this typical revitalization solution, 17% of the residents experienced an improvement in their economic well-being, 17% of the residents got to know their neighbors, and 95% of the residents indicated that they enjoy living in the neighborhood.
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Background: The recent pandemic of COVID-19 has left a wide range of after-effects on the health of older adults. The effects of the pandemic have been particularly felt in the areas of physical strength, fatigue, and functional performance. Material(s) and Method(s): Fifty-four participants were allocated into three groups: Tai Chi (TC) attended 4 sessions of 60-min TC training per week for consecutive 12 weeks, Aerobic Training (AT) attended 4 sessions of 60-min aerobic training per week for 12 weeks, and Control (CON) instructed to maintain a daily routine. Hand grip strength (HGS) and Fatigue Severity Scale (FSS) were used to evaluate the participants. Functional performance outcomes were determined The functional performance outcome was determined by The 30-second Chair Stand Test (CST), The 30-second Arm Curl Test (ACT), The 8-feet Up-and-Go test (TUG), and The 2 min steps. Pre-post comparisons of all outcomes in each group and comparisons between groups were analyzed using the ANOVA test with SPSS software. Result(s): After the intervention, TC and AT groups both experienced significant improvements in HGS, fatigue levels, CST, ACT, TUG, and 2-minute steps compared to baseline (all P < 0.001). The Tai Chi group also experienced significantly improved hand grip strength (p =0.0435, mean difference of-2.5), and ACT (p =0.0235, mean difference of 1) compared to the AT group. Conclusion(s): Tai Chi is an integrated rehabilitation program that had a positive effect on hand grip strength, fatigue levels, and functional performance compared to aerobic training in the elderly post-COVID-19.Copyright © 2023, Codon Publications. All rights reserved.
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The article focuses on analyzing the factors affecting the online learning efficiency of students at the Ho Chi Minh City University of Technology and Education during the Covid 19 pandemic. The study identified four factors that affect students' online learning efficiency, including H1-Environment, course context, H2 -Student cooperation, H3-Online learning skills of students, and H4 -Teachers/lecturers. However, the results of an online survey of 1,089 students of Ho Chi Minh City University of Technology and Education (HCMUTE), with Cronbach's Alpha test method, EFA analysis, Correlations, and regression analysis, showed that 3/4 of the initial hypotheses H2, H3, H4 were accepted (with Sig. = 0.000). <0.05, that is, H2, H3, H4 affect the online learning efficiency of students of Ho Chi Minh City University of Technology and Education, while H1 is not accepted (H1 due to Sig.= 0.683) >0.05 (ie H1 does not affect the online learning efficiency of students of Ho Chi Minh City University of Technology and Education during the Covid -19 pandemic)).
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Corona virus is a crucial respiratory disease, which impacted the health in both aspects, physically and mentally. High expectations, lack of time, skills, and social support may lead to occupational stress among nurses, which spontaneously causes anxiety, post traumatic stress disorder, distress, and other psychological problems. Nurses may also accompany with somatic symptoms, such as palpitations, nausea, dyspnea, and dizziness. The study aims to assess the level of stress among the nurses at SMCH and association between the level of stress and selected demographic variables of staff nurse in quantitative non experimental approach by descriptive research design. A samples was 50 staff nurse selected using recruited by non-probability purposive sampling technique. A selfstructured questionnaire and Likert 5 point scale was used to assess the demographic data and level of stress among the staff nurses. The results shows that, about 38 (76%) of the staff nurse had severe stress, 5 (10%) of the staff nurse had moderate stress and remaining 7 (14%) of the were of mild stress. The chi-square test also shows statistically significant association between education and level of stress among staff nurses at p<0.05 level. This study concluded that, the corona virus has caused severe stress among the nurses at SMCH. ASEAN Journal of Psychiatry, Vol. 24 (1) January, 2023;1-6.
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Objectives: Differences in demographic factors, symptoms, and laboratory data between bacterial and non-bacterial arthritis have not been defined. We aimed to identify predictors of bacterial arthritis, excluding synovial testing. Methods: This retrospective cross-sectional survey was performed at a university hospital. All patients included received arthrocentesis from January 1, 2010, to December 31, 2020. Clinical information was gathered from medical charts from the time of synovial fluid sample collection. Factors potentially predictive of bacterial arthritis were analyzed using the Student's t-test or chi-squared test, and the chi-squared automatic interaction detector decision tree analysis. The resulting subgroups were divided into three groups according to the risk of bacterial arthritis: low-risk, intermediate-risk, or high-risk groups. Results: A total of 460 patients (male/female = 229/231; mean ± standard deviation age, 70.26 ± 17.66 years) were included, of whom 68 patients (14.8%) had bacterial arthritis. The chi-squared automatic interaction detector decision tree analysis revealed that patients with C-reactive protein > 21.09 mg/dL (incidence of septic arthritis: 48.7%) and C-reactive protein ⩽ 21.09 mg/dL plus 27.70 < platelet count ⩽ 30.70 × 104/µL (incidence: 36.1%) were high-risk groups. Conclusions: Our results emphasize that patients categorized as high risk of bacterial arthritis, and appropriate treatment could be initiated as soon as possible.
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In response to challenging circumstances, the human body can experience marked levels of anxiety and distress. To prevent stress-related complications, timely identification of stress symptoms is crucial, necessitating the need for continuous stress monitoring. Wearable devices offer a means of real-time and ongoing data collection, facilitating personalized stress monitoring. Based on our protocol for data pre-processing, this study proposes to analyze signals obtained from the Empatica E4 bracelet using machine-learning algorithms (Random Forest, SVM, and Logistic Regression) to determine the efficacy of the abovementioned techniques in differentiating between stressful and non-stressful situations. Photoplethysmographic and electrodermal activity signals were collected from 29 subjects to extract 27 features which were then fed into three different machine-learning algorithms for binary classification. Using MATLAB after applying the chi-square test and Pearson's correlation coefficient on WEKA for features' importance ranking, the results demonstrated that the Random Forest model has the highest stability (accuracy of 76.5%) using all the features. Moreover, the Random Forest applying the chi-test for feature selection reached consistent results in terms of stress evaluation based on precision, recall, and F1-measure (71%, 60%, 65%, respectively).
Subject(s)
Wearable Electronic Devices , Humans , Machine Learning , Algorithms , Random Forest , Data CollectionABSTRACT
Nanomaterials have wide-ranging biomedical applications in prevention, treatment and control of diseases. Nanoparticle based vaccines have proven prodigious prophylaxis of various infectious and non-infectious diseases of human and animal concern. Nano-vaccines outnumber the conventional vaccines by virtue of plasticity in physio-chemical properties and ease of administration. The efficacy of nano-based vaccines may be attributed to the improved antigen stability, minimum immuno-toxicity, sustained release, enhanced immunogenicity and the flexibility of physical features of nanoparticles. Based on these, the nano-based vaccines have potential to evoke both cellular and humoral immune responses. Targeted and highly specific immunological pathways required for solid and long lasting immunity may be achieved with specially engineered nano-vaccines. This review presents an insight into the prevention of infectious diseases (of bacterial, viral and parasitic origin) and non-infectious diseases (cancer, auto-immune diseases) using nano-vaccinology. Additionally, key challenges to the effective utilization of nano-vaccines from bench to clinical settings have been highlighted as research domains for future.
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Objective: To study the clinical characteristics of diabetes mellitus with Coronavirus disease 2019 (COVID-19) and explore the possible mechanism of diabetes predisposition. Method(s): A single center, retrospective and observational study was used to collect 48 inpatients diagnosed with COVID-19 who were admitted to the first ward of the third department of infection, Raytheon hospital, Wuhan from February 23, 2020 to March 30, 2020. Demographic data, symptoms, laboratory tests, comorbidities, treatments and clinical outcomes have been collected. The patients were divided into non-diabetic group and diabetic group according to the combination of diabetes. The clinical data and laboratory test results of the two groups were observed, and the t test, non-parametric test and Chi square test were used for comparison. Result(s): All the 5 patients with COVID-19 diabetes mellitus had fever and respiratory symptoms, chest CT was consistent with typical COVID-19 imaging features, and novel coronavirus nucleic acid test results were positive. There were no statistically significant differences in age, gender composition, co-existing diseases, clinical symptoms, clinical typing, disease course and treatment plan between the diabetic group and the non-diabetic group (P>0.05).There was a statistically significant difference in fasting blood glucose between the non-diabetic group and the diabetic group (P<0.05).The difference of fasting blood glucose at discharge from the diabetes group compared with that at admission was also statistically significant (P<0.05).There was no statistically significant difference between the two groups in other laboratory examination indexes (P>0.05). Conclusion(s): COVID-19 patients with diabetes are mainly manifested by fever and respiratory symptoms.Chest CT shows typical COVID-19 imaging features.Copyright © 2020 by the Chinese Medical Association.
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The novel coronavirus (COVID-19) has affected every sector of human activities. The outbreak has not only resulted in the risk of death from infection but has greatly affected the education system globally. While universities around the world have adapted to academic changes because of this pandemic, some other universities such as in Nigeria seem to be far behind. Therefore, this study aims to understand the impact of COVID-19 on students in higher institutions in Nigeria. The study utilizes an interactive survey design to get responses from 1533 respondents who are students of tertiary institutions. Two sampling techniques, namely snow-balling and purposive, are used to administer the questionnaire. The participants are representative samples from across the 6 geo-political zones of Nigeria. The results from the descriptive analysis reveals that 11.6% of the respondents have been able to continue school online and 41.4% have a level of doubt about the ability of their school can adapt to the learning mode occurring globally. Inferential analysis was carried out to understand the association and regression between variables. Results from Chi-Square Test of association show that students from public universities are economically more affected than those from private universities (P-value < .005). The ordinal logistic model considered multiple independent variables. Results from the logistic model showed that the future effect of COVID-19 on career/academic progression of students hold, irrespective of discipline or degree of study or university category or level/year of study. Furthermore, 30% of the students, regardless of their discipline, degree of study, or university category expressed extreme or moderate hopelessness about their academic future concerning the pandemic. The study has shown that the pandemic did not only lead to physical, technological, and economical challenges to education for Nigerian students, but also psychosocial challenges (such as hopelessness and high level of distrust for the existing educational systems) that may affect the way student engage and commit to their education in the post-pandemic world. This provides educational stakeholders including policy makers the adequate data needed to understand how exactly students have been affected and supportive measure to implement as tertiary institutions reopen for learning.
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Depression and anxiety among students in higher education are well-established public health concerns with rates that have steadily increased over the past several decades. The global COVID-19 pandemic caused a need for rapid transition on campuses to online learning, a disruption of research, and uncertainty about meeting program requirements and employment. Graduate students often feel overlooked at the best of times and the potential for the pandemic to worsen this perception cannot be understated. This study examined the rates of self-reported depressive and anxiety symptoms among graduate students who were located at the national epicenter of the COVID-19 pandemic in the United States in the spring of 2020. Demographic characteristics, loneliness, and coping to determine potential risk and protective factors were also examined. A comprehensive online survey was created including the University of California Los Angeles (UCLA) 3-Item Loneliness Scale, the Patient Health Questionnaire Depression Scale (PHQ-9), and the Generalized Anxiety Disorder scale (GAD-7). Descriptive statistics, Pearson's chi-squared test, Spearman's correlation, and unadjusted and adjusted multivariable logistic ordinal regression models were used to describe the sample and to assess factors associated with depression and anxiety. 341 surveys were analyzed;respondents had a mean age of 31.88, 68% were female, 63% were White, and 23% identified as lesbian/gay/bisexual. Approximately 89% of students reported moderate-severe depression, and 76% moderate-severe anxiety. Risk factors associated with depression (p < 0.05) were being "sometimes' lonely”, "often/always lonely”, and time spent searching COVID-19 information. Emotional support, having children, and perceived emotional/mental health were protective against depression (p < 0.05). Risk factors associated with anxiety were "‘often/always lonely”, identifying as lesbian/gay/bisexual, and time searching COVID-19 information. Coping, having children, being born outside of the U.S., and perceived emotional/mental health were protective against anxiety (p < 0.05). Based on study findings, it is recommended that universities include more focused interventions for graduate students in consideration of their unique personal and professional needs. Graduate students are part of the emerging professional workforce and as such employers are also advised to integrate wellness and mental health programs and interventions into their employee assistance programs.