scholarly journals Depression, anxiety, and burnout among medical students and residents of a medical school in Nepal: a cross-sectional study

2019 ◽  
Author(s):  
Nishan Babu Pokhrel ◽  
Ramesh Khadayat ◽  
Pratikchya Tulachan
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Extracurricular Activities ◽  
Teaching And Learning ◽  
Past History ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Prevalence Of Depression

Abstract Background Medical students and residents were found to have suffered from depression, anxiety, and burnout in various studies. However, these entities have not been adequately explored in the context of Nepal. We proposed to determine the prevalence of depression, anxiety, burnout, their associated factors, and identify their predictors in a sample of medical students and residents in a Nepalese medical school.Methods It was a cross-sectional study with 651 medical students and residents chosen at random between December 2018 and February 2019. The validated Nepali version of Hospital Anxiety and Depression Scale, the Copenhagen Burnout Inventory, and Medical Students' Stressor Questionnaire were used to assess depression, anxiety, burnout, and stressors respectively. We used univariate and multivariable logistic regression analyses to identify the correlation of predictor variables with depression, anxiety, and burnout.Results The overall prevalence of burnout (48.8%; 95% CI 44.9-52.7) and anxiety (45.3%; 95% CI 41.4-49.2) was more than that of depression (31%; 95% CI 27.5-34.7). Burnout and depression were more prevalent in residents than in medical students (64.5% and 33.7% versus 37.6% and 29.1% respectively). Whereas, medical students were found more anxious than residents (46.3% versus 43.96%). Academic related stressors caused high-grade stress to participants. Multivariable model for depression significantly showed anxiety and personal burnout as risk enhancing correlates; satisfaction with academic performance as a protective correlate. Similarly, the multivariate model for anxiety significantly identified female gender, depression, personal burnout, patient-related burnout, teaching and learning related stressors, and past history of mental illness as risk enhancing correlates; being satisfied with academic performance, getting adequate sleep, being an intern or a resident and less frequent involvement in extracurricular activities as protective correlates. The logistic model for burnout significantly showed depression, anxiety, being a first-year resident, drive and desire related stressors and a rare/never involvement in extracurricular activities as positive predictors.Conclusions A high prevalence of depression, anxiety, and burnout was seen among medical students and residents. Most of them were stressed with academic-related factors. A strong correlation between teaching and learning-related stressors with anxiety may be a call for an efficient and more student-friendly curriculum.

scholarly journals Depression, anxiety, and burnout among medical students and residents of a medical school in Nepal: a cross-sectional study

2020 ◽  
Author(s):  
Nishan Babu Pokhrel ◽  
Ramesh Khadayat ◽  
Pratikchya Tulachan
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Medical School ◽  
Teaching And Learning ◽  
Past History ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Prevalence Of Depression

Abstract Background: Medical students and residents were found to have suffered from depression, anxiety, and burnout in various studies. However, these entities have not been adequately explored in the context of Nepal. We proposed to determine the prevalence of depression, anxiety, burnout, their associated factors, and identify their predictors in a sample of medical students and residents in a Nepalese medical school.Methods: It was a cross-sectional study with 651 medical students and residents chosen at random between December 2018 and February 2019. The validated Nepali version of Hospital Anxiety and Depression Scale, the Copenhagen Burnout Inventory, and Medical Students' Stressor Questionnaire were used to assess depression, anxiety, burnout, and stressors respectively. We used univariate and multivariable logistic regression analyses to identify the correlation of predictor variables with depression, anxiety, and burnout.Results: The overall prevalence of burnout (48.8%; 95% CI 44.9-52.7) and anxiety (45.3%; 95% CI 41.4-49.2) was more than that of depression (31%; 95% CI 27.5-34.7). Burnout and depression were more prevalent in residents than in medical students (burnout: 64.5% vs 37.6%, P-value < 0.0001; depression: 33.7% vs 29.1%, P-value 0.21). Whereas, medical students were found more anxious than residents (46.3% versus 43.96%, P-value 0.55). Academic related stressors caused high-grade stress to participants. Multivariable model for depression significantly showed anxiety, personal burnout, and work-related burnout as risk enhancing correlates; satisfaction with academic performance as a protective correlate. Similarly, the multivariate model for anxiety significantly identified female gender, depression, personal burnout, teaching and learning related stressors, and past history of mental illness as risk enhancing correlates; being satisfied with academic performance, getting adequate sleep, and being a second-year resident as protective correlates. The logistic model for burnout significantly showed being a first-year resident, depression, anxiety, and drive and desire related stressors as positive predictors. None of the variables were identified as significant negative predictors of burnout. Conclusions: A high prevalence of depression, anxiety, and burnout was seen among medical students and residents. Most of them were stressed with academic-related factors. A strong correlation between teaching and learning-related stressors with depression and anxiety may be a call for an efficient and more student-friendly curriculum.

scholarly journals The four-domain structure model of a depression scale for medical students: A cross-sectional study in Haiphong, Vietnam

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194550 ◽  
Author(s):  
Thao Thi Thu Nguyen ◽  
Ngoc Thi Minh Nguyen ◽  
Manh Van Pham ◽  
Han Van Pham ◽  
Hiroyuki Nakamura
Keyword(s):  
Medical Students ◽  
Domain Structure ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Structure Model ◽  
Sectional Study ◽  
Cross Sectional

The Effects of Internet Addiction on the Academic Performance of Medical Students at Omdurman Islamic University: An Online Cross-sectional Study

2021 ◽  
Author(s):  
Salih Boushra Hamza ◽  
Yassin A. Abdalla ◽  
Tibyan Hassan Mustafa Alkabashi ◽  
Ahmed A. M. Mustafa ◽  
Khadija Ala Abdelmaqsud Muhmmed ◽  
...  
Keyword(s):  
Social Networks ◽  
Academic Performance ◽  
Medical Students ◽  
Internet Addiction ◽  
Cross Sectional Study ◽  
Moderate Level ◽  
The Internet ◽  
P Value ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background:In general, the emergence of new technologies such as the internet, social networks and providing opportunities to facilitate and improve global communications quality have created some threats, as Internet Addiction Disorder (IAD), which is an emerging psychological problem across the globe. Young defined it as “an individual’s inability to control his or her use of the internet, which eventually causes psychological, social, school, and/or work difficulties in a person’s life”. Students are among the most critical internet and social networks, particularly during the coronavirus recent pandemic. The prevalence of internet addiction and its association with academic performance among Sudanese medical students has not been discussed yet. Therefore, this study aimed to assess the effects of internet addiction on medical students’ academic performance. Methods:This study was an observational descriptive cross-sectional study conducted on medical students at Omdurman Islamic University in Sudan from 321 sample size by stratified random technique. Data were collected using a questionnaire that contains four sections; the last one is the Internet Addiction Test (IAT), a 20-item scale that measures the presence and severity of internet addiction, developed by Young. Data were analyzed using the statistical package for social science (SPSS) version 24. A P-value < 0.05 was considered statistically significant.Results:Out of 321 medical students, 186 (57.9%) were females, and 135 (42.1%) were males, with no general differences regarding the addiction score. Social media was the leading platform for internet use purposes (88%), mean internet addiction score was 47.7; most of the respondents (55.8%) fit into the moderate-level addiction. There is an association between the duration of internet time consumption and the IAT score, with 5-6 hour/day scoring the highest (mean 50.1 ± 14.3) (P-value 0.001). There is a significant association between platforms that consume most of the participant time and IAT score, with games scoring the highest (IAT mean 56.4 ± 15) (P-value 0.001). There is an insignificant negative correlation between Internet Addiction Test (IAT) grade and CGPA (p-value 0.07).Conclusion:The mean internet addiction score is 47.7, and most of the respondents (55.8%) show moderate-level addiction. The Internet Addiction Test’s application to medical students’ sample concerning the academic performance found no significant association between Internet Addiction Test score and CGPA score.

scholarly journals The relationship between sleep and wake habits and academic performance in medical students: a cross-sectional study

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Ahmed S BaHammam ◽  
Abdulrahman M Alaseem ◽  
Abdulmajeed A Alzakri ◽  
Aljohara S Almeneessier ◽  
Munir M Sharif
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Relationship

scholarly journals Evaluation of sleep pattern due to stress in undergraduate medical students and its impact on health and academic performance: A cross-sectional study from tertiary health center of Central India

2021 ◽  
Author(s):  
Kusum Gandhi ◽  
Yashvardhan Godaria ◽  
Revadi G
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Academic Stress ◽  
Sleep Pattern ◽  
Stress Factors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Second Year

Background: Good quality sleep is essential for good health and well-being. Medical students are at no exception to this and are prone to greater risk for sleep deprivation. The major reason being challenges to maintain a high level of academic achievement and constant thirst to acquire new learning skills and knowledge. However, in this process they are circumstanced to various levels of stress that might cause potential damage to their cognitive functioning and mental exhaustion to a certain extent. Objectives: Thus, our study objectives were to evaluate the sleep pattern in first- and second-year medical students. To understand how the stress levels and academic performance are related to sleep pattern and to explore the copying strategies of stress in our study participants. Methodology: This cross sectional study was conducted using a self-reported, web-based, questionnaire that included questions on sleep quality and deprivation through Pittsburgh sleep quality index. All the eligible students of first and second year who were part of a premiere teaching hospital during February and March 2021 were included. Data was analysed using IBM SPSS version 24. Results: Out of 180 participants, 91(50.55%) had their initiation of sleeping time from 12-2 am and also, majority of students 112 (62.22%) had a sleep duration of six to eight hours. However, 119 (66.1%) students had self-reported change in sleeping pattern which was found to be significantly associated with relatively greater number of academic factors as compared to social factors. Most of the students scored between 50-60% score in their four assessments amongst which their first assessment was significantly associated with change in sleep pattern (P 0.040). Also, these individual assessment score was found to significantly affect their duration of sleep. The common coping strategies adopted by students under study were talking to family members/ friends, music/ book reading (hobby). Conclusion: Majority of students in our study had reported change in sleeping pattern. Also, association between stress factors and change in sleeping pattern were observed with academic stress factors proving to be more significantly associated than social stress factors. The academic performance of students was also found to be associated with change in sleeping pattern and duration of sleep. Keywords: sleep pattern, medical students, academic stress factors, coping strategies

scholarly journals Emotional Quotient in Medical Students and its Influence on the Academic Performance A Cross Sectional Study

2020 ◽  
Vol 08 (02) ◽  
pp. 391-395
Author(s):  
Dr. Harish Kulkarni ◽  
Dr. C Y Sudarshan ◽  
Dr. Shamshad Begum ◽  
Dr. Shambhavi Kulkarni
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Emotional Quotient

scholarly journals The Mediating Role of Coping Styles in the Relationship between Resilience and Depression among Medical Students in the Context of Online Classes during the COVID-19 Pandemic: a Smartphone-Based Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Lina Zhao ◽  
Kristin Sznajder ◽  
Dan Cheng ◽  
Shimeng Wang ◽  
Can Cui ◽  
...  
Keyword(s):  
Medical Students ◽  
Coping Style ◽  
Coping Styles ◽  
Cross Sectional Study ◽  
Online Classes ◽  
Sectional Study ◽  
Cross Sectional ◽  
Positive Coping ◽  
Prevalence Of Depression

BACKGROUND Due to the strict nationwide COVID-19 comprehensive protective measures, which included home quarantine, all Chinese medical students began taking online classes beginning in the spring semester of 2020. Home quarantine, online classes, and the stress surrounding the COVID-19 pandemic may have triggered increased mental health problems of medical students. Although there has been an increasing literature on depression among medical students, studies focusing on positive psychological resources such as resilience during the COVID-19 pandemic still need to be expanded. OBJECTIVE The present study aims at assessing depression of medical students taking online classes during the COVID-19 pandemic and investigating the role of coping styles as a mediator between resilience and depression. METHODS A cross-sectional study of 666 medical students with stratified sampling in Shenyang, Liaoning Province in China was completed between March 20th, 2020 and April 10th, 2020. The participants responded to a self-administered smartphone-based questionnaire which included Patient Health Questionnaire (PHQ-9), Simplified Coping Style Questionnaire (SCSQ), and Ego-Resilience scale (ER-89). Hierarchical linear regression and structural equation modeling (SEM) were used in this study. RESULTS The prevalence of depression in the participants was 9.6% in this study. Regression analysis revealed that grade (the year in which the medical student was in their training), how well they adapted to online classes, their levels of resilience, and their coping styles were independent predictors for depression. Resilience and positive coping style were negatively related to depression and negative coping style was positively related to depression. SEM showed that the effect of resilience on depression was partially mediated by coping styles. CONCLUSIONS It was found in the present study the prevalence of depression was slightly low and coping styles mediated the association between resilience and depression among medical students during COVID-19, which was of significant implications for further study. Future studies and interventions are supposed to be aimed at improving resilience and promoting positive coping style.

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