Methods: The PubMed database was searched for relevant literature relating to the health of medical elective students. Combinations of the following key words were used as search terms: 'international health elective', 'medical student' and 'health risks'. Articles were restricted to those published in English from 1997 through June 2017. A secondary review of the reference lists of these articles was performed. The grey literature was also searched for relevant material.
Results: This narrative literature review outlines the risks of clinical electives in resource-poor settings which include exposure to infectious illness, trauma, sexual health problems, excessive sun exposure, mental health issues and crime. Medical students may mitigate these health risks by being informed and well prepared for high-risk situations. The authors provide evidence-based travel advice which aims to improve pre-travel preparation and maximize student traveller safety. A safer and more enjoyable elective may be achieved if students follow road safety advice, take personal safety measures, demonstrate cultural awareness, attend to their psychological wellbeing and avoid risk-taking behaviours.
Conclusion: This article may benefit global health educators, international elective coordinators and travel medicine practitioners. For students, a comprehensive elective checklist, an inventory of health kit items and useful web-based educational resources are provided to help prepare for electives abroad.
MATERIALS AND METHODS: This cross-sectional web-based questionnaire survey was done among new dental graduates of the academic year 2019-2020 and the final year undergraduate students (academic year 2020-2021) from dental schools in Malaysia, using the Dental Undergraduates Preparedness Assessment Scale (DU-PAS), from 6th to 26th April 2021. The questionnaire addressed clinical skill competence, and cognitive and behavioral attributes. The number of respondents needed to achieve a confidence level of 95% with margin of error of 5% was 306.
RESULTS: A total of 453 (243 final year students and 210 new graduates) responded from dental schools nationwide, with a response rate of 30.6%. The overall mean score for preparedness for dental practice was 76.3±14.7, for clinical skills 39.7±7.3, and behavioral and cognitive attributes 36.5±9.1. New graduates had significantly higher mean preparedness score (78.6±14.4) as compared to students in their final year (74.2±14.7). Performing endodontic treatment on multi-rooted teeth had the lowest perceived competency (29.8%), followed by assessing treatment needs of patients requiring orthodontics (37.1%), prescribing drugs (46.6%) and providing crowns using principles of tooth preservation (48.1%).
CONCLUSIONS: Satisfactory scores were obtained for most attributes. The final-year cohort was significantly less prepared for dental practice compared to the newly graduated cohort.
OBJECTIVES: To investigate the prevalence of suicidal ideation and its factors in first-year Chinese university students from a vocational college in Zhejiang during the COVID-19 pandemic.
METHODS: Using a cluster sampling technique, a university-wide survey was conducted of 686 first-year university students from Hangzhou in March 2020 using University Personality Inventory (UPI). UPI includes an assessment for suicidal ideation and possible risk factors. Suicidal ideation prevalence was calculated for males and females. Univariate analysis and multivariable logistic regression models were conducted, adjusting for age and sex. Analyses were carried out using the SPSS version 22.0 software.
RESULTS: The prevalence of 12-month suicidal ideation among first-year university students during March 2020 was 5.2%, and there was no significant difference between males and females (4.8% vs. 6.0%, x2 = 0.28, p = 0.597). Multivariable logistic regression analysis identified social avoidance (B = 0.78, OR = 2.17, p < 0.001) and emotional vulnerability (B = 0.71, OR = 2.02, p < 0.001) as positively associated with suicidal ideation.
CONCLUSIONS: Social avoidance and emotional vulnerabilities are unique factors associated with greater suicidal ideation among first-year university students during the COVID-19 pandemic. UPI serves as a validated tool to screen suicide risks among Chinese university students. Encouraging social engagement and improving emotional regulation skills are promising targets to reduce suicidal ideation among first-year university students.
MATERIALS AND METHODS: We propose a mixed-method study of mental health assessment that combines psychological questionnaires with facial emotion analysis to comprehensively evaluate the mental health of students on a large scale. The Depression Anxiety and Stress Scale-21(DASS-21) is used for the psychological questionnaire. The facial emotion recognition model is implemented by transfer learning based on neural networks, and the model is pre-trained using FER2013 and CFEE datasets. Among them, the FER2013 dataset consists of 48 × 48-pixel face gray images, a total of 35,887 face images. The CFEE dataset contains 950,000 facial images with annotated action units (au). Using a random sampling strategy, we sent online questionnaires to 400 college students and received 374 responses, and the response rate was 93.5%. After pre-processing, 350 results were available, including 187 male and 153 female students. First, the facial emotion data of students were collected in an online questionnaire test. Then, a pre-trained model was used for emotion recognition. Finally, the online psychological questionnaire scores and the facial emotion recognition model scores were collated to give a comprehensive psychological evaluation score.
RESULTS: The experimental results of the facial emotion recognition model proposed to show that its classification results are broadly consistent with the mental health survey results. This model can be used to improve efficiency. In particular, the accuracy of the facial emotion recognition model proposed in this paper is higher than that of the general mental health model, which only uses the traditional single questionnaire. Furthermore, the absolute errors of this study in the three symptoms of depression, anxiety, and stress are lower than other mental health survey results and are only 0.8%, 8.1%, 3.5%, and 1.8%, respectively.
CONCLUSION: The mixed method combining intelligent methods and scales for mental health assessment has high recognition accuracy. Therefore, it can support efficient large-scale screening of students' psychological problems.
METHODS: This was a quasi-experimental study with university students as participants. Intervention group participants were instructed to complete online questionnaires which covered basic demographics and instruments assessing depression, anxiety, stress, mindfulness, psychological flexibility, and fear of COVID-19 before and after the one-hour intervention. The control group also completed before and after questionnaires and were subsequently crossed over to the intervention group. Repeated measures ANOVA was conducted to assess time*group effects.
RESULTS: 118 participants were involved in this study. There were significant differences in anxiety (F(1,116) = 34.361, p < 0.001, partial eta-squared = 0.229) and psychological flexibility between the two groups (F(1,116) = 11.010, p = 0.001, partial eta-squared = 0.087), while there were no differences in depression, stress, mindfulness, or fear of COVID-19.
CONCLUSION: The results of this study corroborate the efficacy of online single-session mindfulness therapy as a viable short-term psychological intervention under financial and time constraints. Since university students are in the age group with the highest incidence of depressive and anxiety disorders, it is crucial to utilize resources to address as many students as possible to ensure maximum benefit.
METHOD: Through an online survey, we used Coronavirus Anxiety Scale (CAS) to measure the level of anxiety associated with the COVID-19 crisis and Brief Coping Orientation to Problems Experienced (COPE) to assess the coping responses adopted to handle stressful life events. Coping strategies were classified as adaptive and maladaptive, for which the aggregate sores were calculated. Multiple linear regression was used to determine the predictors of anxiety adjusted for potentially confounding variables. Results from 434 participants were available for analysis.
RESULTS: The mean score (SD) of the CAS was 1.1 (1.8). The mean scores of adaptive and maladaptive coping strategies were 35.69 and 19.28, respectively. Multiple linear regression revealed that maladaptive coping [Adjusted B coefficient = 4.106, p-value < 0.001] and presence of comorbidities [Adjusted B coefficient = 1.376, p-value = 0.025] significantly predicted anxiety.
CONCLUSION: Maladaptive coping and presence of comorbidities were the predictors of coronavirus anxiety. The apparent lack of anxiety in relation to COVID-19 and movement restriction is reflective of the reported high level of satisfaction with the support and services provided during the COVID-19 outbreak in Malaysia. Adaptive coping strategies were adopted more frequently than maladaptive. Nevertheless, public education on positive coping strategies and anxiety management may be still be relevant to provide mental health support to address the needs of the general population.
METHODS: We modified a validated questionnaire with permission from the original authors at Melaka Manipal Medical College, Melaka, Malaysia. Participants rated 35 characteristics on a 5-point Likert scale. The modified questionnaire was validated in a pilot pool of medical students (n = 69), with a Cronbach's alpha of 0.90, and administered to Year 1-5 medical students (n = 917) at the Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
RESULTS: Based on the proportion of favourable Likert scoring, four top desirable characteristics were common across Year 1-5 students: good communication skills (84.4%); sound knowledge of subject (82.7%); enthusiasm (78.4%); and providing effective explanations (74.4%). Approachability (p = 0.005), encouraging participation (p < 0.001) and constructive criticism (p < 0.001) were more important to clinical students (Year 3-5) than preclinical students (Year 1-2).
CONCLUSION: The top four characteristics were consistent across all years of medical students in this study. Characteristics emphasised in the clinical years facilitate active learner participation, consistent with constructivist learning theory.
METHODS: This mixed-methods study adopts a convergent parallel design. The Health Stigma and Discrimination Framework was referenced to devise in-depth interviews with representatives from 13 LGBTQI-affirming non-governmental organisations, analysed through thematic analysis. 320 clinical medical students were surveyed about attitudes, knowledge, comfort, preparedness, and perceived importance of/towards LGBTQI+ health, analysed via descriptive statistics and multivariate regression.
RESULTS: Prevailing stigma in Singaporean society against LGBTQI+ individuals is exacerbated in healthcare settings. Doctors were cited as unfamiliar or uncomfortable with LGBTQI+ health, possibly from lack of training. Among medical students surveyed, the median composite attitudes, comfort and preparedness index was 3.30 (Interquartile Range (IQR) = 0.50), 3.17 (IQR = 0.83), 2.50 (IQR = 1.00) respectively. Only 12.19% of students answered all 11 true-false questions about LGBTQI+ health correctly.
CONCLUSION: Medical students in Singapore have scored sub-optimally in their knowledge and preparedness towards LGBTQI+ health, while interpersonal and structural stigma in healthcare towards LGBTQI+ people in Singapore negatively affects health and wellbeing. These findings are an impetus to improve medical training in this area. High scores among medical students in attitudes, comfort and perceived importance of LGBTQI+ topics demonstrate that there is space for LGBTQI+ health in the local medical education curriculum. Curricular interventions can prioritise content knowledge, communication skills and sensitivity.