Higher vocational college students' learning burnout during the COVID-19 pandemic: A case study in China

This study examines students' levels of learning burnout during the COVID-19 pandemic. Learning burnout levels were also investigated about students' gender, hometown, family member structure, and field of major. The study employs a random sampling survey method, with 1,098 students from a public higher vocational college in Shandong Province, China. The collected data was analyzed using SPSS 26. The results found that 71.5% of students are at a moderate burnout level, 27.0% are at a low level, and only 1.5% are at a high level, and there was no high level of learning burnout on a single item during the COVID-19 pandemic. The data showed that the levels of learning burnout of male students, students who live in town, non-only child students, and students majoring in science and engineering were higher than the other group of students. There was a statistically significant difference in the level of student learning burnout by gender, but not in the variables of hometown, family structure, or field of major. Although studies show that students' learning burnout level is not affected by COVID-19, students generally have learning burnout. Therefore, three strategies were also put forward to reduce students' learning burnout from school. © 2023, Institute of Advanced Engineering and Science. All rights reserved.

Learning Burnout: Evaluating the Role of Social Support in Medical Students.

Background: Burnout is a stress-induced syndrome considered to be closely related to work. Although social support could relief burnout syndrome, its effect on learning burnout in medical students remains unclear. The objectives of the study are to evaluate the association between learning burnout and social support in Chinese medical students. Methods: A cross-sectional online survey was distributed to students who participated in online learning in a medical college in Wuhan during the COVID-19 epidemic. We used the Lian version of the Maslach Burnout Inventory (MBI) to assess learning burnout and the Social Support Rating Scale (SSRS) to assess social support. Chi-square tests were used to analyze factors associated with burnout. Independent t-test and multiple logistic regression were explored to analyze the relationship between social support and burnout. Results: A total of 684 students have completed the survey (response rate: 30.9%), of which 315 (46.12%) met standard criteria for learning burnout. Multiple logistic regression analysis has revealed that seniors, low family income and low social support were significant predictors of learning burnout (χ2 = 41.983, p < 0.001). After adjusting for the grade and family income, there was a significant and relevant association between social support and learning burnout (OR = 0.937; 95% CI: 0.905-0.970; p < 0.001). Conclusions: Learning burnout was highly prevalent in medical students at our college. Senior students and low family income might be risk factors for learning burnout. Social support, especially subjective support and utilization of support might play a protective role in reducing the risk of learning burnout.

Relationship between Anxiety, Depression and Learning Burnout of Nursing Undergraduates after the COVID-19 Epidemic: The Mediating Role of Academic Self-Efficacy.

BACKGROUND: Although cross-sectional studies on the learning status of nursing undergraduates during the COVID-19 epidemic have surged, few studies have explored the normalization of COVID-19 on students' learning burnout and mental health. The study was designed to investigate the learning burnout of nursing undergraduates in school under the normalization of the COVID-19 epidemic and explore the hypothesized mediation effect of academic self-efficacy in the relationship between anxiety, depression and learning burnout in Chinese nursing undergraduates. METHODS: A cross-sectional study was conducted among nursing undergraduates in the school of nursing of a university in Jiangsu Province, China (n = 227). A general information questionnaire, College Students' Learning Burnout Questionnaire, Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire depression scale (PHQ-9) were administered. Descriptive statistical analysis, Pearson correlation analysis, and multiple linear regression analysis were performed via SPSS 26.0. Process plug-in (Model 4) was used to test the mediating effect of academic self-efficacy (bootstrap 5000 iterations, α = 0.05). RESULTS: Learning burnout (54.1 ± 0.656) was positively correlated with anxiety (4.6 ± 0.283) and depression (5.3 ± 0.366) (p < 0.01) and was negatively correlated with academic self-efficacy (74.41 ± 0.674) (p < 0.01). Academic self-efficacy plays a mediating role between anxiety and learning burnout (0.395/0.493, 80.12%) and a mediating role between depression and learning burnout (0.332/0.503, 66.00%). CONCLUSION: Academic self-efficacy has a significant predictive effect on learning burnout. Schools and teachers should strengthen the screening and counselling of students' psychological problems, detect learning burnout caused by emotional problems in advance and improve students' initiative and enthusiasm for learning.

Academic Burnout, Family Functionality, Perceived Social Support and Coping among Graduate Students during the COVID-19 Pandemic.

Academic burnout and the COVID-19 pandemic have greatly impacted the academic life and mental health of graduate students. This study aims to address the mental health issue in graduate students by relating it to family functionality, perceived social support, and coping with academic burnout during the COVID-19 pandemic. Data were gathered from a cross-sectional study with 519 graduate students across universities in Hungary and other European countries. The Copenhagen Burnout Inventory Student, Family APGAR Index, the brief form of the Perceived Social Support Questionnaire, and the Brief Resilient Coping Scale were used to measure academic burnout, family functionality, perceived social support, and coping, respectively. Structural equations modeling was used for statistical analysis. The results revealed a negative effect of family functionality, perceived social support, and coping on academic burnout. The inverse relationship between perceived social support and the Copenhagen Burnout Inventory was identified, and mediated by coping and family functionality. These findings may offer patterns and predictors for future graduate students and higher-education institutions to identify outside factors that are implicated in academic burnout, especially in outbreaks such as the COVID-19 pandemic.

Learning burnout and its association with perceived stress, social support, and the Big Five personality traits in Chinese medical students during the COVID-19 pandemic: a cross-sectional study.

BACKGROUND: Owing to the coronavirus disease 2019, medical learning burnout has attracted increasing attention in educational research. It has a serious negative impact on medical students and their service quality. This could impair the professional development of medical students; weaken their personal and professional quality; and lead to problems such as increased medical errors and reduced patient care quality and satisfaction. This study aimed to examine the effects of perceived stress, social support, and the Big Five personality traits on learning burnout among medical students. METHODS: In November 2021, a cross-sectional survey was conducted at three medical universities in China. A self-administered questionnaire was distributed to 616 third- year students. Learning burnout, perceived stress, social support, and the Big Five personality traits (neuroticism, extroversion, openness, agreeableness, and conscientiousness) were anonymously measured. A total of 583 students were included in the final sample. Hierarchical linear regression was performed to explore the effects of perceived stress, social support, and Big Five personality traits on medical students' learning burnout. RESULTS: Perceived stress was positively associated with learning burnout (emotional exhaustion: ß = 0.577, p < 0.001; cynicism: ß = 0.543, p < 0.001; low professional efficacy: ß = 0.455, p < 0.001) whereas social support was negatively related with it (low professional efficacy: ß = -0.319, p < 0.001). Neuroticism had a positive effect on emotional burnout (ß = 0.152, p = 0.009). Extraversion (ß = -0.116, p = 0.006) and conscientiousness (ß = -0.363, p < 0.001) had a negative effect on low professional efficacy. Agreeableness negatively affected emotional exhaustion (ß = -0.181, p < 0.001) and cynicism (ß = -0.245, p < 0.001) and positively affected low professional efficacy (ß = 0.098, p = 0.008). The associated factors together accounted for an additional variance of learning burnout (emotional exhaustion: 39.0%; cynicism: 36.8%; low professional efficacy: 48.7%). CONCLUSIONS: Social support is a positive resource for fighting medical students' burnout. Perceived stress was the strongest indicator of learning burnout. In addition to reducing perceived stress, developing extraversion, agreeableness, and conscientiousness should be included in burnout prevention and treatment strategies, particularly for medical students.

The Effect of Nursing Students' Self-Efficacy on Patient-Centered Communication During the COVID-19 Pandemic: The Mediating Effect of Learning Burnout.

Background: The 2019 coronavirus disease (COVID-19) outbreak has put the global health system under the spotlight. As part of the medical workforce, nurses play an important role in interacting with and caring for patients; hence, patient-centered communication (PCC) has been emphasized in nursing education. Thus, it is worth investigating how future nurses perceive PCC and PCC-related factors under the special circumstances of COVID-19. For this purpose, the present study analyzed the mechanisms underlying the association between self-efficacy and nurse-patient communication tendency through learning burnout among nursing students during the COVID-19 pandemic. Methods: The general self-efficacy questionnaire, college students' learning burnout scale, and doctor-patient communication tendency scale were used to survey 2,231 nursing students in higher vocational medical colleges at the onset of the COVID-19 pandemic. Results: General self-efficacy can directly negatively correlate with the degree of nursing students' overall nurse-patient communication, including caring, sharing, and health promotion. Dejection from learning burnout partially mediated the relationships between self-efficacy and caring and between self-efficacy and sharing; it fully mediated the relationship between self-efficacy and health promotion. Reduced personal accomplishment partially mediated between self-efficacy and caring, while it fully mediated between self-efficacy and health promotion; however, it did not play a role in the sharing model. Conclusion: Self-efficacy influences nurse-patient communication through learning burnout. Specifically, dejection and reduced personal accomplishment-two aspects of learning burnout-may compromise nursing students' willingness to engage in PCC. Thus, the importance of PCC, especially during critical health situations such as pandemics, should be emphasized further in future nursing education.