Validating the Medical Students' Stressor Questionnaire (MSSQ) from a Sri Lankan medical faculty

The impact of the Systematic Assessment for Resilience (SAR) framework on students' resilience, anxiety, depression, burnout, and academic-related stress: a quasi-experimental study

BACKGROUND

Medical students face significant psychological stress, impacting their academic performance and well-being. The Systematic Assessment for Resilience (SAR) framework is designed to enhance resilience and mitigate stress among medical students, addressing the need for interventions within the assessment system in medical education. The aim of this study was to evaluate the implementation of SAR framework on medical students' resilience, anxiety, depression, burnout, and academic stress.

METHODS

This study employed a quasi-experimental design with pre- and post-testing. It involved the training of course coordinators in implementing the SAR framework and its integration into the daily learning activities. Fourth-year medical students were assessed before and after the intervention using standardized measures of resilience, anxiety, depression, burnout, and academic stress. Data were analyzed using quantitative methods and thematic analysis for qualitative feedback.

RESULTS

Post-intervention, students demonstrated a significant increase in resilience scores (p < 0.001) and a notable decrease in measures of anxiety, depression, and academic stress (p < 0.001). The burnout types were also statistically different (p < 0.001) except client-related burnout (p > 0.05). Qualitative feedback of the course coordinators highlighted an improved learning environment, increased coping strategies, and a more supportive academic culture.

CONCLUSION

The SAR framework significantly contributes to enhancing medical students' resilience and reducing psychological distress. Its implementation suggests a promising approach to fostering a supportive educational environment that not only addresses the psychological challenges faced by medical students but also enhances their academic performance and overall well-being. Further research is warranted to explore the long-term impacts of SAR across different medical education contexts.

Identification and assessment of stress and associated stressors among veterinary students in India using a cross-sectional questionnaire survey

Background

Veterinary education, is a rigorous professional training program, which exposes students to significant academic and non-academic pressures. The identification of stressors and stress levels among veterinary students mighty help the designing and implementation of coping strategies to protect the students' mental health.

Methods

A 44-item based cross-sectional questionnaire survey was prepared and disseminated among veterinary students in India to identify the stressors responsible, measure the amount of stress, and relate stress to characteristics like gender, degree year, and family income. A total of n = 611 veterinary students across 14 states including 27 colleges/universities participated in the study. The collected data was evaluated for sampling adequacy, construct validity, and reliability using a set of statistical tests.

Results

The analysis revealed high sampling adequacy with a KMO value of 0.957 and a highly significant anti-image correlation (p < 0.001). The principal component analysis generated six factors or subscales which effectively explained 51.98% of the variance in the data, depicting high construct validity. The Cronbach's alpha value of 0.957 revealed high internal consistency for the questionnaire. Analysis revealed more than 94% of pupils under stress, with levels ranging from moderate to severe. Academic-related stressor (95.58%) was the leading cause of overall stress in the present study followed by inter- and intrapersonal and career related-stressors (93.12%) and exams and evaluation-related stressor (90.99%). In comparison to male students, female students reported significantly higher levels of overall stress, academic stress, and intrapersonal and interpersonal stress (p < 0.001) using Chi-square. The students from lower-income families experienced significantly higher overall stress as well as stress due to family responsibilities (p < 0.001). The first-year undergraduate students reported significantly higher (p < 0.001) stress due to family responsibilities-related stressors whereas second-year students due to social activities-related stressors. The hierarchal regression model predicted that gender, family income, academic-related stressors, inter- and intrapersonal and career-related stressors, and social activities-related stressors can be employed to evaluate overall stress among students, as they ensured the maximum variance in the data (p < 0.001).

Conclusions

To the best of our knowledge, this is the first Indian study to identify stressors, quantify associated stress and predict major attributes to be targeted in future studies for veterinary students.