Stress among nursing students in Vietnam: Prevalence and associated factors.

AIM: To describe stress and analyze its associated factors among nursing students. INTRODUCTION: Stress is a common mental health problem among medical students, especially nursing students. Therefore, understanding stress and its associated factors is necessary to improve stress in students. METHODS: A cross-sectional study was conducted among 300 nursing students using the stratified sampling method. This study used questionnaires such as demographic form, the Depression Anxiety Stress Scale 21, and the Stressors in Nursing Students scale. The STROBE checklist was used for reporting this study. RESULTS: Results showed that nearly half of the nursing students were stressed at various levels. Students experienced stress the most due to financial stressors, followed by education, clinical, and confidence stressors. Most of the factors in the four groups-clinical, education, confidence, and finance-increased the risk of stress in nursing students. There was a close relationship between personal problems other than health and the students' risk of stress (p < 0.001). CONCLUSIONS: This study indicated that stress in nursing students was at a high level. Determining the prevalence and associated factors of stress in nursing students will help schools, families, and society take measures to reduce stress among students. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Educational administrators need to develop policies to support nursing students, such as reviewing the academic load of nursing students, improving the design of curricula, and supporting finance for students with difficult situations. Support services should be organized and make it easier for students to access mental health counseling services.

Stability Constant and Potentiometric Sensitivity of Heavy Metal-Organic Fluorescent Compound Complexes: QSPR Models for Prediction and Design of Novel Coumarin-like Ligands.

Industrial wastewater often consists of toxic chemicals and pollutants, which are extremely harmful to the environment. Heavy metals are toxic chemicals and considered one of the major hazards to the aquatic ecosystem. Analytical techniques, such as potentiometric methods, are some of the methods to detect heavy metals in wastewaters. In this work, the quantitative structure-property relationship (QSPR) was applied using a range of machine learning techniques to predict the stability constant (logßML) and potentiometric sensitivity (PSML) of 200 ligands in complexes with the heavy metal ions Cu2+, Cd2+, and Pb2+. In result, the logßML models developed for four ions showed good performance with square correlation coefficients (R2) ranging from 0.80 to 1.00 for the training and 0.72 to 0.85 for the test sets. Likewise, the PSML displayed acceptable performance with an R2 of 0.87 to 1.00 for the training and 0.73 to 0.95 for the test sets. By screening a virtual database of coumarin-like structures, several new ligands bearing the coumarin moiety were identified. Three of them, namely NEW02, NEW03, and NEW07, showed very good sensitivity and stability in the metal complexes. Subsequent quantum-chemical calculations, as well as physicochemical/toxicological profiling were performed to investigate their metal-binding ability and developability of the designed sensors. Finally, synthesis schemes are proposed to obtain these three ligands with major efficiency from simple resources. The three coumarins designed clearly demonstrated capability to be suitable as good florescent chemosensors towards heavy metals. Overall, the computational methods applied in this study showed a very good performance as useful tools for designing novel fluorescent probes and assessing their sensing abilities.

A Study to Predict Ignition Delay of an Engine Using Diesel and Biodiesel Fuel Based on the ANN and SVM Machine Learning Methods.

Over time, machine learning methods have developed, but there have not been many studies comparing how well they predict ignition delays. In this study, a model that forecasts the ignition delay of a diesel engine utilizing diesel fuel and biodiesel fuel was developed using Artificial Neural Network (ANN) and Support Vector Machine (SVM) machine learning techniques. This work has clarified the problems in designing and training the model. The effectiveness of the ANN and SVM machine learning methods' ignition delay prediction models has been evaluated under various input variable conditions. The authors employed a data set of over 700 input data sets from diesel fuel and biodiesel in the B0 to B60 range for this purpose. To evaluate the accuracy of the models, the authors compared the average accuracy of the overall classification as well as the standard deviation. The results after training and verifying the accuracy of the models show that the SVM model has a better ability to predict the fire ignition delay than the ANN model. Specifically, with the test data set and the SVM model at compression ratio (ε) = 15, RMSE = 34.45 µs, MAPE = 1.30%, MAE = 28.33 µs, MAE = 28.33 µs, and R 2 = 0.967, respectively, and the SVM model can predict well. At compression ratio ε = 17, RMSE = 30.18 µs, MAPE = 1.30%, MAE = 23.48 µs, and R 2 = 0.908, respectively. With an ANN neural network model, the prediction error value at compression ratio ε = 15 is RMSE = 41.29 µs, MAPE = 1.35%, MAE = 29.68 µs, and R 2 = 0.952, respectively; at compression ratio ε = 17, it is RMSE = 30.28 µs, MAPE = 1.25%, MAE = 23.00 µs, and R 2 = 0.975, respectively. With this accuracy, the SVM model is fully capable of forecasting the ignition delay combustion time of diesel/biodiesel engines.

Diagnostic Value in Screening Severe Depression of the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Beck Depression Inventory Scale, and Zung's Self-Rating Anxiety Scale Among Patients with Recurrent Depression Disorder.

Background: Depression is a widespread and incapacitating mental health disorder that impacts millions of people worldwide, playing a substantial role in the overall global health challenges. Depression has a big impact on a person's quality of life, cognitive and social functioning, risk of suicide, risk of heart disease and other illnesses, as well as death from all causes. Objective: It may be challenging to choose the best tools to screen for severe depression in patients with recurrent depression disorder (PRD) considering the diversity of psychological scales in Vietnam. The aim of this study was to evaluate diagnostic value for detect severe depression of four psychological scales including Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), Beck Depression Inventory Scale (BECK), and Zung's Self-Rating Anxiety Scale (SAS) by genders and age groups among PRD in Vietnam. Methods: This study was conducted at National Institute of Mental Health, Bach Mai Hospital, Vietnam, from 2020 to 2021. There were 109 PRD evaluated with HAM-D, HAM-A, BECK, and SAS by qualified psychiatrists. By analysing Area Under the Curve (AUC) of Receiver Operating Characteristic (ROC) curve, we determined sensitivity, specificity and cut points of four above scales. Results: Among four scales, the BECK scale had the best diagnostic effect with the most optimal sensitivity and specificity (61.64% and 75%, respectively). We proposed the new cut-off of HAM-D, HAM-A, BECK, and SAS for detecting severe depression among PRD were 20, 34, 30, and 45, respectively. By genders, the cut points for the HAM-D, HAM-A, BECK, and SAS in males were 20, 27, 34, and 44, respectively, while those figure in females were 14, 34, 30, and 46, respectively. By age groups, adults had cut values for four above scales of 20, 34, 27, and 45, respectively, whereas those for the elderly were 16, 17, 35, and 44, respectively. Conclusion: We highly recommended that BECK is the most optimal method to screen severe depression in PRD in Vietnam. It is essential to utilize varied cut values of HAM-D, HAM-A, BECK, and SAS for different genders and age groups.

Prevalence and Factors Associated with Psychological Problems of Healthcare Workforce in Vietnam: Findings from COVID-19 Hotspots in the National Second Wave.

Adopting a cross-sectional study design, we aimed to examine the prevalence of psychological problems in different healthcare workers during the COVID-19 pandemic in the hospitals in these COVID-19 hotspots (Da Nang city and Quang Nam province) and to explore the socioeconomic and COVID-19 control-related factors that are associated with various psychological problems. A total of 611 healthcare workers were included in the final analysis from 1 August 2020 to 31 August 2020. The prevalence of anxiety, depression, insomnia, and overall psychological problems was 26.84%, 34.70%, 34.53%, and 46.48%, respectively. The prevalence rates of anxiety were approximately equal amongst the groups of healthcare workers, and moderate-to-severe anxiety was the most common in physicians (11.11%). The prevalence of depression was the highest in nurses (38.65%) and moderate-to-severe depression was mainly found in physicians (11.81%). The prevalence rates of insomnia were 34.03% in physicians, 36.20% in nurses, and 31.21% in technicians; in particular, the rate of moderate-to-severe insomnia was higher in physicians and nurses compared to technicians. The prevalence of overall moderate-to-severe psychological problems was the highest among physicians (14.58%), followed by nurses (12.58%) and technicians (9.22%). Statistically significant associated factors of current psychological problems were the occupations of physicians or nurses, less than 1 year of experience, university education, living with 4-5 people, reporting 1000-5000 m distance between home and workplace, participating in the COVID-19 control for less than 1 week, being under social isolation at home, being affected a lot by the community, reporting inadequate equipment in current workplace conditions, frequently working in the department directly in contact with the COVID-19 patients, and feeling anxious, stressed, or sad about current works. Present findings can provide valuable evidence for the policymakers and managers to adopt supportive, encouraging, motivational, protective, training, and educational interventions into healthcare workforce in other parts of Vietnam.

A Novel Approach to the Treatment of Le Fort Fractures Using Internal Fixation to Achieve Mandibulomaxillary Fixation.

BACKGROUND: We aimed to determine the minimum effective period of mandibulomaxillary fixation after the inadequate internal fixation of Le Fort I or Le Fort II fracture. OBJECTIVE: The aim of this study was to investigate the stability of the skeleton after the treatment of Le Fort I or Le Fort II fractures by measuring bite forces and to determine the minimum time required for effective mandibulomaxillary fixation following treatment with internal fixation and mandibulomaxillary fixation. METHOD: A prospective study was performed to examine the treatment of Le Fort I or Le Fort II fracture in the Department of Maxillofacial Surgery at the National Hospital of Odonto-Stomatology in Ho Chi Minh City, Vietnam. A total of 31 patients were included, with up to 1 month of follow-up after discharge from the hospital. Midface bone stability and the mandibulomaxillary fixation time were evaluated using bite force criteria after 1, 2, and 4 weeks. RESULTS: Midface bone stability values 1, 2, and 4 weeks after treatment were 87.1%, 100%, and 100%, respectively. After 1 week, 87.1% of patients achieved intermaxillary fixation, and 96.3% of these patients were treated with at least three rigid plates. The remaining 12.9% of patients achieved fixation after 2 weeks, and all of these patients were fixed only at zygomaticomaxillary sutures (p < 0.05). Bite forces increased significantly at 2 weeks compared with 1 week and at 4 weeks compared with 2 weeks (p < 0.05). CONCLUSION: When treated using only rigid fixation, through the placement of plates and screws at zygomaticomaxillary buttresses, patients with Le Fort I and Le Fort II fractures can achieve mandibulomaxillary fixation after 2 weeks. For Le Fort I fractures, rigid fixation using plates and screws at zygomaticomaxillary buttresses and canine buttress at three positions can achieve mandibulomaxillary fixation after only 1 week (p = 0.0001).

Evaluation of Bite Force After Treatment of Le Fort Fractures by Internal Fixation and Mandibulomaxillary Fixation.

OBJECTIVES: Evaluation of bite force one, two, and four weeks after discharge following treatment of Le Fort I and/or Le Fort II fracture by rigid fixation and mandibulomaxillary fixation. OBJECTIVE: The aim of this study was to evaluate bite force following treatment of Le Fort I and/or Le Fort II fractures by rigid fixation and mandibulomaxillary fixation at one, two, and four weeks after discharge. This provides valuable results to guide the development of a treatment protocol for Le Fort fractures. METHOD: This was a prospective study including 31 patients who underwent followup examination three times after being discharged from hospital. The examination evaluated bite force using a bite force meter in the right molar, left molar, and incisor regions. RESULTS: One week after discharge, bite forces in the right molar, left molar, and incisor regions were 94.29 ± 58.80 N, 95.42 ± 57.34 N, and 39,94 ± 30,29 N, respectively. Two weeks after discharge, bite forces in the right molar, left molar, and incisor regions were 153.84 ± 89.14 N, 153.00 ± 78.55 N, and 65,9 ± 43.89 N, respectively. Four weeks after discharge, bite forces in the right molar, left molar, and incisor regions were 279.77 ± 95.46 N, 285.00 ± 90,47 N, and 123.42 ± 54.04 N, respectively. CONCLUSIONS: Bite forces in the right molar, left molar, and incisor regions were significantly increased one week, two weeks, and four weeks after discharge. Bite force may be a helpful parameter to confirm the stability of the midface bone after treatment of Le Fort fractures.

Effect of Zeolite on Shrinkage and Crack Resistance of High-Performance Cement-Based Concrete.

This study examined the effectiveness of zeolite addition to reduce the autogenous shrinkage of high-performance cement-based concrete (HPC). The zeolites were replaced up to 15% of the cement content by weight and their mean particle size varied from 5.6 to 16.7 µm. To evaluate the crack resistance of HPC containing zeolites, the ring tests and internal relative humidity measurements were performed at different ages. The compressive strengths were determined at 3, 7, 28 and 90 days of curing. Test results confirmed that the addition of zeolite was promising and favourable in enhancing the compressive strength, crack resistance and reducing the autogenous shrinkage of HPC due to synergistic pozzolanic and internal curing effects. The autogenous shrinkage tended to decrease with the increase in zeolite content and its particle size. In addition, the extent of the autogenous shrinkage development at the early ages decreased with higher zeolite content replaced. Furthermore, to predict the autogenous shrinkage of HPC containing zeolite, an improved model has been proposed, in which the conventional ultimate autogenous shrinkage strain and time function were modified by introducing new parameters accounting for the zeolite content and its particle size. It appeared that the proposed model was able to capture the autogenous shrinkage behaviour of HPC with or without zeolite, while the fib 2010 model underestimated the autogenous shrinkage of HPC containing less than 10% zeolite replacement.

Lemon Grass Essential Oil Does not Modulate Cancer Cells Multidrug Resistance by Citral-Its Dominant and Strongly Antimicrobial Compound.

With strong antimicrobial properties, citral has been repeatedly reported to be the dominant component of lemongrass essential oil. Here, we report on a comparison of the antimicrobial and anticancer activity of citral and lemongrass essential oil. The lemongrass essential oil was prepared by the vacuum distillation of fresh Cymbopogon leaves, with a yield of 0.5% (w/w). Citral content was measured by gas chromatography/high-resolution mass spectrometry (GC-HRMS) and determined to be 63%. Antimicrobial activity was tested by the broth dilution method, showing strong activity against all tested bacteria and fungi. Citral was up to 100 times more active than the lemongrass essential oil. Similarly, both citral and essential oils inhibited bacterial communication and adhesion during P. aeruginosa and S. aureus biofilm formation; however, the biofilm prevention activity of citral was significantly higher. Both the essential oil and citral disrupted the maturated P. aeruginosa biofilm with the IC50 7.3 ± 0.4 and 0.1 ± 0.01 mL/L, respectively. Although it may seem that the citral is the main biologically active compound of lemongrass essential oil and the accompanying components have instead antagonistic effects, we determined that the lemongrass essential oil-sensitized methicillin-resistant S. aureus (MRSA) and doxorubicin-resistant ovarian carcinoma cells and that this activity was not caused by citral. A 1 mL/L dose of oil-sensitized MRSA to methicillin up to 9.6 times and a dose of 10 µL/L-sensitized ovarian carcinoma to doxorubicin up to 1.8 times. The mode of multidrug resistance modulation could be due to P-glycoprotein efflux pump inhibition. Therefore, the natural mixture of compounds present in the lemongrass essential oil provides beneficial effects and its direct use may be preferred to its use as a template for citral isolation.

Chemical constituents of Oldenlandia pinifolia and their antiproliferative activities.

This study describes the chemical constituents of Oldenlandia pinifolia (Wall. Ex G. Don) Kuntze (synonym Hedyotis pinifolia Wall. Ex G. Don) and discusses their anti-proliferative activities. Thirteen compounds were isolated from the n-hexane, ethyl acetate and n-butanol extracts of whole plants O. pinifolia by chromatography method. Their structures were elucidated using MS and NMR analysis and compared with reported data. They are three anthraquinones, a carotenoid, two triterpenes, four iridoid glycosides and three flavonoid glycosides. Among them, 2-methyl-1,4,6-trihydroxy-anthraquinone is a new one, and three compounds were found for the first time in this genus. MTT assay resulted that the n-butanol extract and four isolated compounds inhibited the proliferation of chronic myelogenous leukaemia cells. The results from Hoechst 33343 staining and caspase 3-inducing exhibited that those four tested compounds induced apoptosis and activated caspase 3 (p < 0.05). One of them, isorhamnetin-3-O-ß-rutinoside showed the most activity with IC50 value of 394.68 ± 25.12 µM.

Suicide attempts by poisoning in Hanoi, Vietnam: methods used, mental problems, and history of mental health care.

The objective of this paper was to investigate methods of poisoning, presence of mental problems, and the rate of psychiatric care among suicide attempters in Vietnam. Three hundred and nine suicide attempters by poisoning admitted to Bach Mai Hospital's Poison Control Center were investigated by trained nurses and qualified psychiatrists. Standardized questionnaires were used to assess methods of suicide, presence of mental problems, and psychiatric care. The most common methods were poisoning by psychotropic drugs in urban, and pesticides in rural areas. ICD-10 confirmed disorders were present in 68% of the cases and 73% rated positive on SRQ-20. Most patients were not in contact with psychiatric care. Restrictions on availability and handling of drugs and pesticides should be reinforced. Better infrastructures are needed for identification and treatment of persons with mental disorders.

The Vietnamese version of the Self Reporting Questionnaire 20 (SRQ-20) in detecting mental disorders in rural Vietnam: a validation study.

BACKGROUND: There is a need to develop instruments to measure mental disorders in developing countries because mental disorders are increasingly being recognised as a major public health problem. There has been no previous study in Vietnam validating screening instruments for mental health problems. AIM: To adapt and to validate the Self Reporting Questionnaire-20 (SRQ-20) in the Vietnamese community. METHODS: A Vietnamese version of the SRQ-20 was developed and tested in 52 persons in a district hospital sample and 485 persons in a community sample. The psychiatrists' diagnoses were taken as the validity criterion. Receiver Operating Characteristic (ROC) analysis was performed to identify the optimal cut-off value. The area under the ROC curve (AUC) was calculated to assess the performance of SRQ in different sociodemographic groups. RESULTS: In the district hospital sample, the optimal cut-off score was 5/6 with a sensitivity of 85%, a specificity of 46% and an AUC of 0.74 (95% CI: 0.59-0.89). In the community sample, it was 6/7 with a sensitivity of 85%, a specificity of 61% and AUC of 0.86 (95% CI: 0.81-0.93). In terms of AUC, SRQ performed significantly better in the age group 18-24 years as compared with other ages and with single persons as compared with widowed or divorced people. CONCLUSION: The SRQ-20 was found feasible to use and adapt to the Vietnamese setting. We confirmed the value of this instrument for use in developing countries, but the optimal cut-off limit has to be assessed and determined according to local conditions.