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Found 13 items.
  • 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
  • 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
  • Abstracts of the Academic Medical Congress of Piaui, COMAPI, 2018

    Executive Board of IJMS
    S6-S66
    2018-12-31
  • The image is a Venn diagram illustrating the overlap between different anatomical regions affected by Disorders of Gut Brain Interaction (DGBI) among medical students. There are three circles representing oesophageal disorders (blue), gastroduodenal disorders (green), and bowel disorders (yellow), with varying degrees of overlap. The total number of students surveyed is 289, with 110 (38%) having oesophageal disorders, 214 (74%) with gastroduodenal, and 184 (64%) with bowel disorders. Central to the diagram is a shared intersection showing 13% of students with conditions affecting all three regions. Surrounding this are sections where two regions overlap, indicating smaller percentages of students with disorders in two regions. Each circle also contains areas with no overlap, specifying the proportion of students with conditions unique to that anatomical region.

    Prevalence and Burden of Disorders of Gut-Brain Interaction Among UK Medical Students

    Lydia C. Brown, Imran Aziz
    43-52
    2024-04-12
  • International Journal of Medical Students - Year 2016 - Volume 4 - Supplement 1

    Executive Committee of IJMS
    2022-12-12
  • Pandemic-Related Experiences and Psychosocial Risk Associations Among U.S. Medical Students

    Nathaniel A. Jenkins, Damion J. Grasso
    288-293
    2022-01-06
  • 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
  • Abstracts of the 5th International Academic Medical Congress of Maranhão (V COIMAMA) 2018

    Executive Board of IJMS
    S67-S114
    2018-12-31
  • 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
  • International Journal of Medical Students - Year 2015 - Volume 3 - Supplement 1

    Executive Committee of IJMS
    2015-12-31
  • Effect of COVID-19 Lockdown on Health of Police Personnel in Eluru, Andhra Pradesh

    Anjali Mediboina; Meghana Bhupathi
    107-113
    2023-06-30
  • Abstracts of the UNICAMP Academic Medical Congress - Online Edition (e-CoMAU), 2020

    Executive Committee of IJMS
    S24-S48
    2021-12-16
  • Mental Health Challenges: Anxiety Among Medical Students - A Cross-Sectional Analytical Study

    Khalid Osman Mohamed, Ahmed ALemam Mohammed, ElShimaa Ammar Zaki, Sozan Mudather Soumit, Wamda Ahmed Ali, Asmaa Mohamed Abbas
    S120
    2023-12-19
1 - 13 of 13 items

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