Our aim was to assess sleep quality in different subgroups of preclinical medical students, and then to identify specific lifestyle factors, academic and social factors as well as Corona virus related factors that were associated with poor sleeping quality and poor psychological health. Study participants were all medical students at King Saud University of Medical Sciences in the first and second years (648 students), and the study was conducted from December 2021 to January 2022. We administered the survey on paper as well as online. We used three types of questionnaires in this study. The first was a self-administered questionnaire, the second was a validated Insomnia Severity Index (ISI) for finding sleeping problems, and the third was a validated DASS 10 for determining Depression, Anxiety, and Stress. A total of 361 pre-clinical medical students consisted of 146 (40.4%) males and 215 (59.5%) females. The majority of the students, 246 (68.1%), were in their second year. Furthermore, in the current study, students who had poor academic performance (15.8%), satisfactory academic performance (21.3%), or good academic performance (30.7%) had significant sleeping problems found (χ² = 19.4; p = 0.001), among them poor academic performance students 21.6%, satisfactory academic performance students (29.3%), and good academic performance students (29.3%) had moderate to severe levelled sleeping problems. Similarly, poor, satisfactory, and good academic performers experienced the highest levels of anxiety (poor = 21.5%; satisfactory = 22.1%; and good = 22.8%); stress (poor = 22.4%; satisfactory = 25.2%; and good = 22.4%); and depression (poor = 40.5%; satisfactory = 40.5%; and good = 11.9%). The majority of students (64.8%) reported that during the pandemic crisis their anxiety levels were high. Additionally, students reported significantly high sleeping issues (χ² = 10.6; p = 0.001) and also serious psychological issues (Anxiety = 34.9 (0.000); Stress = 32.5 (0.000); and Depression = 5.42 (0.01)). There was a high prevalence of sleep issues, anxiety, stress, and depression among the pre-clinical medical students, with significantly higher sleeping disorders, anxiety, stress, and depression levels among those medical students who struggle with their academic performances, poor lifestyle factor, and poor Social and COVID management.

Introduction: The integration of technology into medical education has witnessed significant growth in recent years, with tools such as virtual reality, artificial intelligence, and telemedicine gaining prominence. These tool in medical education, offering immersive, experiential learning experiences. Methods: We approached medical students currently enrolled in medical education programs and who are familiar with and actively use AI in medical education. Initially, we invited 21 random students to participate in the study; however, only 13 agreed to interviews. Some students cited their busy exam schedules as the reason for not participating. The participants were informed of the objective of the study before the commencement of the recorded interviews. Semi-structured interviews were used to guide the record interviews. Audio recordings were transcribed and analyzed using Atlas.ti, a qualitative data analysis software. Results: Participants exhibited a diverse range of perceptions and levels of awareness regarding VR, AI, and telemedicine technologies. Learning with virtual reality was considered to be fun, memorable, inclusive, and engaging by participants. The use of virtual reality technology is seen as complementing current teaching and learning approaches, helping to build learners’ confidence, as well as providing medical students with a safe environment for problem-solving and trial-and-error learning. The students reported that AI was seen as a potential game-changer in the healthcare sector. Participants hoped that telemedicine would provide healthcare services to remote and underserved populations. Conclusion: The study conducted focus group discussions with medical students and residents in Saudi Arabia to explore their views on integrating VR, AI, and telemedicine in medical education and practice. Their insights highlight the need for informed decision-making and strategic development to optimize the benefits and address challenges like initial investments, technical issues, ethics, and regulations. These considerations are crucial for fully realizing the potential benefits of technology in medical education globally.

Background: The advancements of technologies have developed anatomical education into a new era. The study aims to assess medical students’ performance and overall satisfaction who used the anatomage table and plastinated specimens for the teaching and learning anatomy courses. Methods: A cross-sectional study was conducted on students of the first-year college of medicine at Imam Mohammad Ibn Saud Islamic University (IMSIU). Students were randomly distributed equally into three groups A, B, and C. All groups were taken two sessions of lectures for one hour each. Each lecture was followed by a practical session of two hours. Group A learned with the “Anatomage” table and Group B learned the same topics on plastinated specimens. Group C was learning on both plastinated specimens and the “Anatomage” table. The objective structured practical examination was given to all students immediately after the practical sessions. A structured questionnaire was given to each group to determine the students’ views on the educational methods. Results: There was a statistically significant difference between the means of the total scale scores for the three teaching methods, where students expressed a higher attitude towards both strategies for teaching in comparison to the anatomage table and plastinated models for teaching, where the means were 18± 4.4, 18.3± 4.6, 20.4± 5.6, respectively, F=12.6 and P=0.0001. There were higher and positive students’ attitudes regarding the five statements in favor of both models teaching compared to anatomage table and plastinated model teaching alone. Conclusion: The first-year medical students have valued the combination of anatomage table and plastinated prosections in learning and assessing anatomy education at the undergraduate level. The advantages outweigh the limitation of these educational tools.

We explored the prevalence of insomnia, confirm the associated psychological factors and current coping strategies among undergraduate medical during their clinical years. This cross-sectional, quantitative, descriptive study was conducted at the department of medical education, college of medicine, King Saud University (KSU), Riyadh, Saudi Arabia. The participants (n = 463) were the 3rd to 5th year, and intern medical clinical students. We collected responses about sleep, using the Insomnia Severity Index (ISI). We also used Kessler-10 (K10), Psychological Distress and the Patient Health Questionnaire (PHQ-9). Items related to Coping strategies were also used from our previously published study and COVID-19 issues were explored using a self-developed questionnaire. According to the ISI ranking, 162 (34.9 %) of the participants had insomnia, among them 57.4% of females and 42.6% were males. Age groups between 22 and 25 have more sleeping disorder (43.2%) as compared to other age groups. 3rd-year students have more insomnia 36.41% as compared to other years. Individuals with insomnia symptoms were more likely (1.67 times higher) to be female students (OR = 1.67; P = 0.005) as compared to male students. A significantly high prevalence (3.37 times high) of insomnia was noted for those students or interns who have attended their clinical training irregularly as compare to regularly attending participants (OR = 2.32; P = 0.12) during COVID-19. Transition time i.e. year 3 of medical program was more stressful for the students and female students perceived stress and insomnia more than their male counterparts. It is important to address identified disorder early in order to reduce psychological morbidity and its harmful implications for medical students and young physicians.

Academic achievement is essential for all students seeking a successful career. Studying habits and routines is crucial in achieving such an ultimate goal. This study investigates the association between study habits, personal factors, and academic achievement, aiming to identify factors that distinguish academically successful medical students. A cross-sectional study was conducted at the College of Medicine, King Saud University, Riyadh, Saudi Arabia. The participants consisted of 1st through 5th-year medical students, with a sample size of 336. The research team collected study data using an electronic questionnaire containing three sections: socio-demographic data, personal characteristics, and study habits. The study results indicated a statistically significant association between self-fulfillment as a motivation toward studying and academic achievement (p = 0.04). The results also showed a statistically significant correlation between recalling recently memorized information and academic achievement (p = 0.05). Furthermore, a statistically significant association between preferring the information to be presented in a graphical form rather than a written one and academic achievement was also found (p = 0.03). Students who were satisfied with their academic performance had 1.6 times greater chances of having a high-grade point average (OR = 1.6, p = 0.08). The results of this study support the available literature, indicating a correlation between study habits and high academic performance. Further multicenter studies are warranted to differentiate between high-achieving students and their peers using qualitative, semi-structured interviews. Educating the students about healthy study habits and enhancing their learning skills would also be of value.

Background: Type 2 diabetes mellitus represents a multifaceted disorder characterized by intricate pathophysiological mechanisms, encompassing diminished insulin secretion, augmented hepatic glucose production, and heightened insulin resistance. This study aims to assess the sex (Male and Female only) and family history-based differences in the prevalence of T2DM and explore the determinants contributing to this disparity among clinical patients.Subjects and methods: The study encompassed a diverse pool of clinical patients, encompassing both individuals with diabetes and those without the condition, who had previously sought medical attention for clinical checkups at healthcare centers. The collected data included essential parameters such as blood pressure, weight, height, smoking habits, educational background, and physical activity levels. To ensure methodological rigor and data accuracy, blood pressure measurements adhered to the stringent guidelines set forth by the World Health Organization.Results: Participants of the present study reported diabetes, among which notable findings emerged regarding health indicators. It was observed that the prevalence of high blood pressure, obesity, and high blood cholesterol exhibited a statistically significant increase among the female participants, underscoring the sex-based disparities in these health parameters. The male population aged 60 or older, the presence of a family history of DM accentuated this risk, resulting in a striking 3.1 times higher prevalence compared to females, who exhibited a 2.4 times higher risk (OR = 2.4,p = 0.0008). This intriguing relationship between diabetes and cholesterol levels was not limited to sex. Both male (OR = 2.47) and female (OR = 2.1) diabetes patients displayed highly significant associations with cholesterol levels. The risk of T2DM was significantly associated with triglycerides in both sexes (1.58 times higher in males, and 1.71 times higher in females).Conclusions: The significance of hypertension as a comorbidity in T2DM, highlighting sex-specific associations and the potential impact of a family history of diabetes on blood pressure. Our findings emphasize the importance of considering lipid profiles, obesity, and their sex-specific associations when assessing and managing diabetes risk. Comprehensive diabetes care should include strategies for lipid control, weight management, and cardiovascular risk reduction, tailored to the individual’s sex and specific risk profile.