Higher levels of resilience were associated with lower levels of depression, anxiety, and stress, suggesting an important role of this construct in the mental health of medical students.
Abstract
Objective: To analyze the association between resilience and symptoms of depression, anxiety, and stress in Brazilian medical students. Methods: This was a cross-sectional and analytical study conducted with 599 medical students from different higher education institutions in Brazil. Mental health was assessed using the Depression, Anxiety and Stress Scale (DASS-21) and resilience using the Connor-Davidson Resilience Scale (CD-RISC-10). Pearson correlation analyses and multiple linear regression adjusted for sex, previous diagnosis of a mental disorder, physical activity, and psychological and/or psychiatric follow-up were performed. Results: Resilience showed a negative and significant correlation with depression, anxiety, and stress scores. In the adjusted models, it maintained an inverse and independent association with all evaluated outcomes. Among the adjustment variables, a previous diagnosis of a mental disorder and psychological and/or psychiatric follow-up were associated with higher scores of psychological distress. Numerically higher coefficients were observed among students with a previous diagnosis of a mental disorder in the stratified analyses, although formal interaction tests were not performed. Conclusion: Higher levels of resilience were associated with lower levels of depression, anxiety, and stress, suggesting an important role of this construct in the mental health of medical students. The findings reinforce the relevance of resilience in the context of medical training and suggest that this construct may have special relevance in groups with greater psychological vulnerability.
Introduction: Medical education is not only stressful environment but notoriously rigorous, often predisposing medical students to significant amount of psychological distress. Mental health issues among medical students can contribute negative impact in both personal well-being and professional development.
Aims: To assess the levels of stress, anxiety and depression among medical students and evaluate their associations with socio demographic factors and academic performance.
Methods: A cross-sectional study was conducted among 143 medical students enrolled at a medical college. Data regarding socio-demographic characteristics, academic satisfaction, and levels of psychological distress (stress, anxiety, and depression) were collected. Data analysis was performed using statistical software, and a p-value < 0.05 was considered statistically significant to determine associations between variables.
Results: Of the 143 participants, the majority were aged 21–25 years (65.7%), male (76.9%), and unmarried (97.9%), and resided in hostels (90.2%). Non-clinical students constituted 51.7% of the sample, and 67.8% reported satisfaction with their academic performance. Psychological distress was prevalent: 30.8% experienced stress (ranging from mild to extremely severe), 62.9% suffered from anxiety, and 48.3% reported depression. Extremely severe anxiety was notably high at 18.9%. Bivariate analysis revealed that anxiety levels were significantly associated with marital status (p = 0.022) and the level of education (p = 0.016), with non-clinical students experiencing higher rates of severe (9.5%) and extremely severe (28.4%) anxiety compared to clinical students. No statistically significant associations were observed between potential risk factors and stress (p > 0.05) or depression (p > 0.05). However, descriptive trends indicated higher psychological distress among students with unsatisfactory academic performance, younger age (≤ 20 years), and those in non-clinical years.
Conclusion: Psychological distress particularly anxiety and depression is highly prevalent among medical students, with non-clinical students showing significantly higher vulnerability to severe anxiety. These findings highlight an urgent need for institutional mental health screening, stress management interventions, and robust academic support systems, particularly during the transitional non-clinical years of medical training.
Binus Bhandari, D. Khadka· Journal of Nepalgunj Medical...· 0 citations
The results showed that resilience was positively correlated with depression, anxiety, and stress; however, these factors were negatively correlated with caregivers compared to individuals with thalassemia, and the presence of multiple thalassemia patients raised the caregivers' anxiety levels.
Iqra Fatima, Shazia Yusuf, Sana Shaheen et al.· Pakistan Journal of Positive...· 0 citations
Mental health is a major concern among university students today because academic and personal challenges may be associated with symptoms of depression, anxiety, and stress. This study aimed to examine the association between emotional intelligence (EI) and mental health indicators, namely symptoms of depression, anxiety, and stress, among university students. In addition, this study also examined gender differences in emotional intelligence and mental health indicators. Data were collected from 61 university students and analyzed using descriptive statistics, Pearson correlation analysis, and an independent-samples t-test. Findings showed that there was a strong positive association between depression, anxiety, and stress. Meanwhile, emotional intelligence had a weak but significant negative association with anxiety (r = −0.276, p = .031) and depression (r = −0.267, p = .038), indicating that students with higher emotional intelligence tended to report lower levels of anxiety and depression. However, the association between emotional intelligence and stress was weak and not statistically significant (r = −0.232, p = .072). Results also indicated that there were no significant gender differences in emotional intelligence, depression, anxiety, or stress. Overall, this study's findings indicate that higher emotional intelligence scores were weakly associated with lower anxiety and depression scores in this sample. The findings may provide preliminary information for universities, counsellors, and policymakers as they consider student emotional well-being programmes and future intervention research.
Nur Faezah Jamal, Nurhasniza Idham Abu Hasan, M. Chek et al.· International journal of res...· 0 citations
Psychosomatic symptoms are an important aspect of student mental health because they reflect the interaction between psychological processes, emotional states, and physical complaints. This study examined whether negative emotional states, psychological resilience, life satisfaction, and demographic characteristics predicted psychosomatic symptoms among higher-education students in Greece. A quantitative cross-sectional study was conducted with 202 participants recruited from seven higher-education institutions in Athens. Participants completed self-report measures of psychosomatic symptoms, depression, anxiety, stress, psychological resilience, and life satisfaction. Data were analysed using descriptive statistics, independent-samples t-tests, correlation analysis, and multiple linear regression. The predictive model significantly explained variation in psychosomatic symptom scores, F(8, 193) = 46.289, p < .001, R² = .657, adjusted R² = .643. Stress (β = .275, p < .001) and anxiety (β = .388, p < .001) were positively associated with psychosomatic symptoms, whereas psychological resilience (β = −.171, p < .001) and life satisfaction (β = −.182, p < .001) were negatively associated. Sex differences were observed: female students reported higher psychosomatic symptoms and negative emotional states, whereas male students reported higher resilience. No significant differences in psychosomatic symptoms were identified by study level, institution type, or age. Overall, the findings are consistent with previous literature and suggest that psychosomatic symptoms among higher-education students are associated with both psychological risk factors and protective resources. Screening for emotional distress and strengthening resilience and life satisfaction may contribute to student mental-health support strategies. However, the findings should be interpreted in light of the cross-sectional design and convenience sample.
Georgios Pilafas, Georgios Lyrakos, Evangelia Trikaki et al.· Journal of Education Society...· 0 citations
Introduction: Anxiety and depression are the most prevalent mental health disorders worldwide, placing an increasing burden on public health systems. However, certain transdiagnostic factors may modulate vulnerability to these disorders: personality traits, emotional regulation, and social support. Objective: To examined these factors, classifying them as either risk or protective through correlation analyses and qualitative comparative analyses in a clinical sample. Methods: After applying inclusion and exclusion criteria, the final sample consisted of 61 participants (73.8% female, 24.6% male, 1.6% other genders) aged between 20 and 66 years (M = 43.79; SD = 12.75). Results: Neuroticism was associated with higher levels of anxiety and depression, whereas extraversion predicted better mental health. Additionally, emotion dysregulation correlated positively with both psychopathologies. Finally, perceived social support emerged as a sufficient condition for lower anxiety levels; conversely, its absence was linked to higher levels of both anxiety and depression. Conclusions: These findings highlight the importance of further investigating risk and protective factors related to highly prevalent mental health problems like anxiety and depression. Better understanding these factors can help improve assessment, diagnosis, and treatment within clinical practice.
Selene Valero-Moreno, Olga Ribera-Asensi, Saray Giménez-Benavent et al.· Universitas Médica· 0 citations
Depression is associated with worse clinical outcomes when comorbid with anxiety, posttraumatic stress disorder (PTSD), and sleep disturbances. Many affected individuals experience barriers to accessing adequate care, especially in low- to middle-income countries (LMICs). Psychological resilience can protect against psychiatric symptoms, especially in the context of comorbidity, and can be enhanced through various learnable cognitive-behavioural strategies. This study examined whether psychological resilience may mitigate the worsening of depressive symptoms associated with anxiety, PTSD, and sleep disruption and evaluated which component(s) of resilience (Positive Affect, Stress Mastery, and Early-Life Stability) may be the strongest predictors of any protective effect. A total of 291 young adults completed an online survey measuring symptoms of depression, anxiety, PTSD, sleep disturbance, and resilience. Regression analysis showed that resilience significantly moderated the relationship between current symptoms of anxiety and depression, but there was no such moderation effect regarding the influence of PTSD symptoms and sleep disruption on depressive symptomatology. Furthermore, the Positive Affect and Early-Life Stability components of resilience were responsible for the moderation effect. Positive Affect consists of several learnable cognitive and emotional skills, underscoring that building psychological resources may enhance mental health in LMICs. However, Early-Life Stability is less malleable and emphasises the need for systemic and social improvements to the circumstances in which many children in LMICs are reared to enhance their adult mental health.
Mariza van Wyk, Matthieu Ortscheit, T. K. Phillips et al.· South African Journal of Psy...· 0 citations
