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Found 19 items.
  • Comparison of Multinational Medical School Students Experiences in the Face of the COVID-19 Pandemic: A Qualitative Analysis

    Alexandra C. Skoczek, Patrick W. Ruane, Cassidy Onley, Torhiana Haydel, Maria Valeria Ortega, H. Dean Sutphin, Alexis M. Stoner
    353-360
    2023-01-02
  • This bar chart compares the distribution of depression severity grades (PHQ-9) between Non-MBBS and MBBS participants. The categories include Absent, Mild, Moderate, Moderately Severe, and Severe. For 'Absent' depression, 41.58% of Non-MBBS participants and 18.26% of MBBS participants are represented. In the 'Mild' category, MBBS participants lead at 47.94%, compared to 24.26% for Non-MBBS. For 'Moderate' depression, MBBS participants account for 25.57%, while Non-MBBS participants account for 17.33%. In the 'Moderately Severe' category, 8.91% of Non-MBBS participants and 5.94% of MBBS participants are represented. Finally, in the 'Severe' category, 7.92% of Non-MBBS participants are shown compared to 2.28% of MBBS participants. The chart highlights notable differences in depression severity between the two groups, with MBBS participants showing higher rates of mild and moderate depression, while Non-MBBS participants exhibit higher percentages in absent and severe depression categories.

    Magnitude of Psychological Distress Among Medical and Non-Medical Students During the Late Phase of the COVID-19 Pandemic in West Bengal: A Cross-Sectional Study

    Udisa Das, Arunima Ganguly , Dibakar Haldar, Asish Mukhopadhyay
    403-414
    2024-12-17
  • The image is a extract of a table titled "Summary of Associations between Socioeconomic Status, Mental Health, and Birth Outcomes." The table has three columns: Factor, Association, and Reference.  The first row indicates that a history of maternal depression is associated with pregnancy-related death, citing Trost et al. 2021 as the reference. The second row links depressive symptoms due to socioeconomic stressors with low birthweight infants and refers to Dunkel Schetter & Tanner, 2012. The table succinctly presents research findings on how socioeconomic status and mental health are related to outcomes at birth. The full table can be found in the article.

    A Review of Psychosocial Factors on Birth Outcomes in Women with Substance Use Disorder in the United States: The Importance of Preventing Relapse During Sustained Remission

    Alexandra R. Dailey
    69-82
    2024-04-12
  • The image depicts a stressed medical student surrounded by books and study materials, with swirling lines and exclamation marks symbolizing stress. The background includes elements like a clock and medical symbols to emphasize the academic and medical context

    The Factors Causing Stress in Medical Students and their Impact on Academic Outcomes: A Narrative Qualitative Systematic Review

    Thensiniya Jeyapalan, Erik Blair
    195-203
    2024-07-09
  • The image is a horizontal bar graph with four bars, each representing a category of anxiety severity according to the Generalized Anxiety Disorder-7 (GAD-7) scale. The categories, listed from the top bar down, are 'Severe anxiety' (scores 15-21), 'Moderate anxiety' (scores 10-14), 'Mild anxiety' (scores 5-9), and 'No anxiety' (scores 0-4). Each bar's length corresponds to the number of individuals in that category, with frequencies noted on the graph. The 'Mild anxiety' category has the longest bar, indicating the highest frequency, followed by 'No anxiety', 'Moderate anxiety', and 'Severe anxiety', respectively. The percentages shown above each bar denote the proportion of individuals within each category, with 'Mild anxiety' having the highest percentage of 41.20% and 'Severe anxiety' the lowest at 12.30%. The graph is a visual representation of the prevalence of anxiety at different levels within the surveyed group.

    Prevalence of Generalized Anxiety Disorder and Associated Risk Factors Among Medical Students in Sudan: A Cross-Sectional Study at Omdurman Islamic University

    Khalid Osman Mohamed, Ahmed ALemam Ahmed, ElShimaa Ammar Zaki, Sozan Mudather Soumit, Wamda Ahmed Ali, Asmaa Mohamed Abbas
    14-21
    2024-04-12
  • Pandemic-Related Experiences and Psychosocial Risk Associations Among U.S. Medical Students

    Nathaniel A. Jenkins, Damion J. Grasso
    288-293
    2022-01-06
  • Conceptual diagram illustrating the factors contributing to academic burnout, categorized into family and social factors, personal factors, and academic factors, with each category represented by a cluster of flames. Protective factors—such as artistic activities, sports, and personal relationships—are shown above as blue bubbles acting against burnout.

    Academic Burnout in Mexican Medical Students: A Critical Review of Prevalence, Risk Factors, and Gaps in Intervention

    Angel Alberto Puig-Lagunes, Lessa Alessandra Mendez-Lara, Fabiola Ortiz-Cruz
    73-86
    2025-03-31
  • Photo by <a href="https://unsplash.com/@matnapo?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Mat Napo</a> on <a href="https://unsplash.com/photos/man-in-black-and-orange-jacket-carrying-black-and-red-backpack-3zddKPt55p8?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Unsplash</a>

    The Silent Casualties: War's Impact on Medical Students and Medical Education

    Berjo D. Takoutsing, Mihnea-Alexandru Găman, Juan C. Puyana, Francisco J. Bonilla-Escobar
    254-258
    2023-12-21
  • Medical Student Burnout and Lifestyle Factors for 144 South Florida Medical Students, 2021

    From Student to Physician: Determining Which Lifestyle Behaviors May Be Risk Factors for Burnout at a South Florida Medical School

    Rachel Lin, Heather Woolery-Lloyd, BreAnne Young, Sonjia Kenya
    206-211
    2023-09-18
  • Effects of COVID-19 on Multiple Sclerosis Relapse: A Comprehensive Review

    Matthew Topolski, Varun Soti
    192-201
    2022-07-12
  • Prevalence of Psychological Distress Among Quarantined People in Trivandrum District During the COVID-19 Pandemic: A Cross-sectional Study

    Sneha S Prakash, Sneha Sabu, Jayaprakash Raghavan, Chintha Sujatha
    269-273
    2022-01-06
  • Impact of COVID-19 Lockdown on Depression Severity and the Use of Drugs Among University of Ibadan Students

    Abdulhammed Opeyemi Babatunde, Lordstrong Akano Olaniyi, AbdulSobur Olatunde Abdulazeez, Yeshua Ayokun Adedeji, Boluwatife Adefunke Bolatito, Christabel Ijeoma Uche-Orji, Adeniyi Abraham Adesola, Habib Ayomide Shobanke, Dimeji AbdulSobur Olawuyi, Dolapo Michael Babalola
    264-268
    2022-01-06
  • Pre-Existing Social Conditions: A Call to Prevent the Perpetuation of Gender Inequalities in Research Production during COVID-19

    Kelly Rhea MacArthur, Madeleine J. Cox, Ciara Egan, Leah Komer
    217-219
    2020-12-17
  • This image serves as a digital illustration for the editorial titled 'Artificial Intelligence in Medicine and Medical Education: Current Applications, Challenges, and Future Directions.' It features a futuristic scene where a robotic arm conducts a surgical procedure on a human patient, symbolizing the precision of AI in medical applications. Surrounding the operating table, medical professionals and students utilize virtual reality headsets and holographic displays for learning and simulation, highlighting AI's role in medical education. The background incorporates elements of binary code and neural network patterns, representing the technological foundation of AI. The color scheme of blues and whites suggests innovation, cleanliness, and trust in the intersection of AI with healthcare.

    Artificial Intelligence in Medicine and Medical Education: Current Applications, Challenges, and Future Directions

    Manali Sarkar, Mihnea-Alexandru Găman, Juan C. Puyana, Francisco J. Bonilla-Escobar
    9-13
    2024-07-25
  • This diagram represents factors associated with psychological distress (K-10) organized in a circular layout. At the center is 'Psychological Distress K-10,' surrounded by seven interconnected categories: 1) Socio-demographic Factors, 2) Non-Stroke Related Health Factors, 3) Stressful Life Events, 4) Behavioral Factors, 5) Family & Caregiver Related Factors, 6) Stroke Related Factors, and 7) Disability and Dependence. Subcategories under 'Disability and Dependence' include 'Disability - Modified Rankin Scale' and 'Dependence - Barthel Index.' The diagram visually highlights how various factors interact and contribute to psychological distress.

    Prevalence and Associated Factors of Psychological Distress of Patients with Stroke Attending a Neurology Clinic — An Analytical Cross-sectional Study

    Pumudu Weerasekara, Chalitha Warshawithana, Nelushi Weerasinghe, Irshad Mashood
    415-421
    2024-12-17
  • Is It Worth Publishing in a Medical Students’ Journal? Insights From a 10-Year Journey

    Francisco J. Bonilla-Escobar, Ciara Egan, Mihnea-Alexandru Găman
    252-254
    2022-01-06
  • Telemedicine Volunteering Experience as a Medical Student During the COVID-19 Pandemic in Brazil

    Tulio L. Correa, Mariana S. T. C. Guelli
    71-72
    2021-01-21
  • COVID-19 amongst the Pandemic of Medical Student Mental Health

    Leah Komer
    56-57
    2020-04-30
  • A Surgical Resident’s Perspective about COVID-19 Pandemic: Unique Experience and Lessons Learnt

    Madhuri Chaudary, Prakash Kumar Sasmal
    156-158
    2020-05-11
1 - 19 of 19 items

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