Integrating a Unique Mindfulness-Based Stress Reduction Training into the First-Year Medical Student Curriculum

Integrating a Unique Mindfulness-Based Stress Reduction Training into the First-Year Medical Student Curriculum | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Integrating a Unique Mindfulness-Based Stress Reduction Training into the First-Year Medical Student Curriculum Kim Meeks, Olivia Penela, Gautham Mudireddy, Zach Brieck, Brad Lian, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6595275/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective: To describe and evaluate MeditateMD’s effectiveness in reducing perceived stress among first-year students and to examine its feasibility when integrated into a medical school curriculum. Methods: In 2024, eight first-year students from School of Medicine participated in the program, undergoing pre-, immediate post-, and three-month post-training Perceived Stress Scale (PSS) assessments to measure changes in stress levels. Results: Statistical analysis using the Wilcoxon signed-rank test revealed a significant reduction in stress levels immediately following the program. The reduction was not evident at 3-month follow-up however. Student evaluations post-training were overwhelmingly positive, praising the program’s relevance and practical benefits. Conclusion: MeditateMD enhances first-year medical students' abilities to manage stress, demonstrating significant immediate benefits. However, ongoing mindfulness practices might be needed to maintain long-term benefits. Figures Figure 1 Introduction Training to become a physician is a long journey that causes added stress and can lead to burnout. Medical students, on average, experience higher rates of depression and anxiety than the general population of the same age (Dyrbye et al., 2006 ). These feelings arise and become chronic from ineffective coping mechanisms and problem-solving in response to demanding and stressful situations associated with professional responsibilities (Selmanovic et al., 2011 ). The consequences of burnout affect not only the medical student or physician but also their patients and the healthcare system. In a recent meta-analysis on burnout in medical students, the overall prevalence was 37.2% (Almutairi et al, 2022 ). The prevalence of emotional exhaustion and depersonalization was 38.08% and 35.07%, respectively. The COVID pandemic brought increased awareness of healthcare worker burnout. The long hours in personal protective equipment caring for patients affected many healthcare workers’ well-being. This brought into question how to best define burnout. According to the National Academy of Medicine, burnout is characterized by a high degree of emotional exhaustion, depersonalization, and a low sense of personal accomplishment. Several U.S. institutions have estimated that at least half of all medical students experience burnout during their medical education (Social Driver, 2025). Burnout can lead to decreased productivity, compromised patient safety, and increased medical errors. Emotionally drained and weary physicians may struggle to meet the needs of the patient, resulting in suboptimal treatment outcomes. With an ever-increasing physician turnover due to burnout, continuity of care can be disrupted, and healthcare resources strained. Nevertheless, it is also important to consider the toll that burnout may have on the physicians themselves. Students often develop comorbid health conditions because of burnout (Ishak et al., 2013 ). A cross-sectional study showed there is a strong association between burnout severity and suicidal ideation and that 1 in every 10 medical students have experienced thoughts of suicide during their training (Ishak et al., 2013 ) Another study found that along with depression, physician burnout is associated with physician impairment more broadly, including a 25% increased odds of alcohol abuse/dependence (West et al., 2018 ). Because of the effect one person’s mental health can have on an entire population, it brings into question what the best way is to alleviate these recurring problems of burnout. Teaching mindfulness-based stress reduction is one option. In 1994, John Kabat-Zinn, a noted mindfulness researcher, defined mindfulness as “ the awareness that emerges through paying attention on purpose, in the present moment, and nonjudgmentally, to the unfolding of experience moment by moment.” (Kabat-Zinn, 2003 , p. 145). Additionally, Bhante Gunaratana, a distinguished meditation teacher, simplified Kabat-Zinn’s generally accepted definition of mindfulness as paying attention moment to moment to what is (Gunaratana, 2001 ). The most popular technique to date is the mindfulness-based stress reduction (MBSR). In a study analyzing the benefits of mindfulness-based interventions in medical students, it was found that attending mindfulness training sessions improved medical students’ depression, anxiety, and stress. MBSR is an 8-week group training program with a time commitment of 2.5 hours a week. Participants learn to practice mindfulness through various exercises such as meditation, psychoeducation, and practical applications integrated into daily activities. They are encouraged to change unhelpful automatic habits, enhance self-care, and adopt a non-judging attitude (van Dijk et al., 2015 ). These interventions help reduce stress, but they are challenging to implement in the busy schedules of medical students. Due to the significant time commitment required, medical students have withdrawn from various programs, including a five-month-long MBSR training (Alzahrani et al., 2023 ). Many studies also highlight the positive outcomes of other mindfulness-based interventions (MBI) like simulation-based mastery learning (SBML) and mindfulness-breath counting (Cheung et al., 2020 ; Fazia et al., 2023 ; Pascual et al., 2023 ). While most of these studies have shown positive effects of mindfulness-based interventions, there is a limited number of studies involving mindfulness-based approaches to reduce stress in the medical school curriculum in the United States. Medical students face challenges in this type of training due to their demanding workloads. Between students’ study schedules, extracurricular involvements, and basic wellness needs, medical students have little time to devote to a program that requires even minimal commitment. We created a unique training course for first-year medical students based on meditation theory and mindfulness techniques. This course was designed to initiate and reinforce the habit of practicing mindfulness meditation techniques and seamlessly integrate the training into the curriculum. Three of the co-authors, who are medical students at the university, also worked on the project. The students' familiarity with the curriculum and its requirements allowed them to suggest effective ways to incorporate MeditateMD, thereby keeping the course workload manageable and boosting student engagement. This study was initiated to test the hypothesis that first-year medical students participating fully in the training will report improved ability to manage stress both during the training and in future situations. Methods The study was conducted in 2024 and relied upon a convenience sample and pre-experimental design. First-year medical students from each of School of Medicine’s three campuses were invited to participate in the MeditateMD program. To encourage participation, a certificate of completion and 15 service hours were offered to each student completing the course. Participating students completed a self-report assessment, the Perceived Stress Scale (PSS), to determine their stress levels pre- and post-training and three months post training. The scale, which is widely used and has been shown to be valid and reliable, consists of ten items covering one’s thoughts and feelings over the past 30 days. 9 There are five response options for each item: “Never” (coded as 0), “Almost never” (1), “Sometimes” (2), “Fairly often (3), and “Very often” (4). The scale's total score ranges from 0 to 40, with 0 to 13 representing low stress, 14 to 26 moderate stress, and greater than 27 to 40 considered high stress. 9 A post-training PSS assessment and a training course evaluation were administered upon completion of the training. The post-training evaluation consisted of 15 items with five-point Likert scale response options, ranging from not helpful (coded as 1) to very helpful (scored as 5). A text response, allowing participants the opportunity to add comments was also available for each item. Training The 14-week program, MeditateMD, incorporated mindfulness meditation techniques based on Eastern Philosophy coupled with current confirmatory neuroscientific findings and required a weekly two-hour commitment from participants. More specifically, in the program, which was implemented in the spring semester (Block 2) of the medical school curriculum, the students were given weekly 3–5-page readings on Canvas, a learning management system used for other coursework, and asked to complete weekly Mindful Inquiry assignments. The inquiries asked them to reflect on a week’s corresponding readings and describe what they experienced when stress arose using the concepts and techniques covered that week. The teacher (Robert Hodge, MD) responded to all the Mindful Inquiry submissions on Canvas within 24 hours and was also available via text or email for questions. Each mid-week, there was a 30-minute Zoom meeting with the teacher who briefly summarized the reading, answered any questions, and asked the participants to share their experiences with the group. The teacher encouraged the students to actively participate in synchronous online meetings and throughout the entire program. The session was recorded for students who were unable to attend. Several stress reduction techniques were introduced starting with the mindful breath pause and brief daily meditation. Students were encouraged to use the mindful breath pause as needed when stress arose and to meditate for 5–10 minutes each day for the remainder of the training. Other topics taught during the course were understanding how the mind works, identifying the four principles of stress, learning how to let go, and cultivating loving-kindness and compassion. During the last week they were given a summary of all the readings and then were asked to complete the post-training evaluation and PSS. Three months after the training the participants were given another PSS to see how well the training kept their stress levels lower over time. Outcomes and Statistical Analysis To assess the changes in participants' PSS scores before, immediately after, and three months post-training, a Wilcoxon signed-rank test was utilized. This test is the nonparametric counterpart to the dependent samples t-test and is appropriate for small sample sizes. A p-value less than or equal to 0.05 was set as the threshold for statistical significance. The post-training evaluation was assessed, and with every question the rankings were averaged to obtain a mean between 1 and 5. Results All students successfully completed the 14-week training, the pre-, post-, and three-month post-training PSS, and the post-training evaluation. PSS Results There was a statistically significant reduction in stress (p = .042) between pre- and post-training PSS scores, according to the Wilcoxon signed rank test. Tests comparing the 3-month post-test scores to both the pre- and post-tests indicated that the reduction seen in the pre-post results was short-lived, in that there were no statistically significant differences between the pre- and 3-month follow-up or the post- and 3-month follow-up scores (p = .292 and .131, respectively). Figure 1 shows the mean PSS scores for each of the testing periods. Evaluation results The results of the post-training evaluation are presented in Table 1. The first column in the table includes questions asked in the evaluation and the second column includes the mean rankings from 1 to 5 on the Likert scale. A 1 on the scale represented the most negative opinions toward the questions, for example, 1 represented not helpful for some of the questions. A 5 on the scale represented the most positive opinion of the question, for example five represented most helpful for several of the questions. Questions 6, 7, and 9 were reverse coded to allow for easier understanding. Table 1: Mean Item Rankings In the short answer section for each question, three students commented that the readings were appropriate in length and did not contribute additional stress to the already high-stress levels felt from medical school. Five out of the eight participants commented directly on the helpfulness of having the teacher personally involved throughout the course. Participants also commented on ways to improve the course, including lengthening it to the entire first year, adding optional readings, and changing the due date of the assignments to the weekend. Discussion The significant reductions in stress levels, as evidenced by the PSS scores before and after the training, highlight the program’s effectiveness in the short term. The average reduction of 5.25 points in stress indicates a shift from moderate to low stress, underscoring the program's benefits. However, a slight increase in stress levels three months post-training suggests a potential fade-out effect, indicating the need for continued practice or additional support to sustain the benefits. In current scientific literature, it has been highlighted that the responsibilities and expectations of medical school put a strain on medical students’ wellness, leading to high levels of stress 11 . This common occurrence of high-stress levels in medical students increased the number of mental health-based interventions. 11 As noted above, one type of program that has gained popularity is MBSR. One study on MBSR was performed in two schools in Saudi Arabia 9 . The study lasted for five months during the student's usual medical coursework 9 . One downfall of this program was the number of students that did not complete the whole course and post course measures 9 . To counteract the high probability of participants dropping out we created MeditateMD to be a concise 14 weeks (3 months) with around a 2-hour commitment per week. This turned out to be successful as evidenced by no one dropping out of the training and all participants completing the post-training measures. To allow for an easy transition into the program we used the same learning management system that School of Medicine uses, Canvas. The students rated that the use of the platform increased their overall experience significantly. Another factor unique to the course is the one-on-one interaction from the teacher throughout the course. The participants overall ranked the teacher positively and found him to be extremely helpful during the training. One person noted in the comments that if they could not understand one of the readings, they would never stress, since the teacher could always explain it to them. The PSS was used to report the stress happening in the participants' lives and their ability to cope with it before and after the training session. It was found that the course was helpful in reducing stress and increasing their coping strategies due to the statistical significance of the data collected when comparing their pre and first post training PSS scores. In Fig. 1 there was a difference between the two PSS scores of 5.25 which shows that student’s stress levels went from moderate to low after the course. Although the PSS score after 3 months was not statistically different from the first pre-PSS, it was only a couple points higher on average than the post-PSS. This could indicate a fade out effect, possibly due to the students not continuing to use the techniques or the need for further longer-term reinforcement. Limitations One limitation was the small sample size of the study. Although we did have some diversity in the participants, we hope to expand the number during the next course and gather more information on their demographic information. We also did not have a control group for this study, which limits are ability to draw definitive causal conclusions. Another limitation was the constraint of the perceived stress scale. The PSS focuses on finding the participants' current level of stress and how confident they feel in their ability to cope with it. Our project focuses on stress and mindfulness, and this scale did not rank their knowledge of mindfulness or prior use of mindfulness practices. This left us not knowing their starting level of knowledge on the subject. We plan on adding other questionnaires to counteract this problem. Another limitation is the effects of the course starting to wear off over time. Conclusions This study indicated that a mindfulness-based training program increases medical students’ ability to cope with stress. Comparison between the pre and post stress levels were significant and showed that the mindfulness techniques taught in the MeditateMD program were helpful in reducing stress and increasing confidence in participants’ ability to cope with stress. Declarations Ethics Approval and Consent to Participate This study was reviewed and approved by the Mercer University Institutional Review Board (IRB) and conducted in accordance with the Declaration of Helsinki. Written informed consent to participate was obtained from all participants prior to their involvement. Consent to Participate Written informed consent was obtained from all participants included in the study. Funding Declaration This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Data Availability Statement The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. Human Ethics and Consent to Participate Declarations Human ethics approval and informed consent to participate were obtained as noted above. Clinical Trail Number: Not Applicable References Almutairi H, Alsubaiei A, Abduljawad S, Alshatti A, Fekih-Romdhane F, Husni M, Jahrami H. Prevalence of burnout in medical students: A systematic review and meta-analysis. Int J Soc Psychiatry. 2022;68(6):1157–70. https://doi.org/10.1177/00207640221106691 . Alzahrani AM, Hakami A, AlHadi A, et al. The effectiveness of mindfulness training in improving medical students' stress, depression, and anxiety. PLoS ONE. 2023;18(10):e0293539. https://doi.org/10.1371/journal.pone.0293539 . Cheung EO, Barsuk JH, Mitra D, Gannotta RJ, Horowitz B, Didwania AK, Victorson D. Preliminary efficacy of a brief mindfulness intervention for procedural stress in medical intern simulated performance: A randomized controlled pilot trial. J Altern Complement Med. 2020;26(4):282–90. https://doi.org/10.1089/acm.2019.0281 . Dyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, and other indicators of psychological distress among U.S. and Canadian medical students. Acad Med. 2006;81(4):354–73. https://doi.org/10.1097/00001888-200604000-00009 . Fazia T, Bubbico F, Nova A, Buizza C, Cela H, Iozzi D, Calgan B, Maggi F, Floris V, Sutti I, Bruno S, Ghilardi A, Bernardinelli L. Improving stress management, anxiety, and mental well-being in medical students through an online mindfulness-based intervention: A randomized study. Sci Rep. 2023;13(1):8214. https://doi.org/10.1038/s41598-023-35002-1 . Gunaratana H. Eight mindful steps to happiness: Walking the path of the Buddha. Wisdom; 2001. Ishak W, Nikravesh R, Lederer S, Perry R, Ogunyemi D, Bernstein C. Burnout in medical students: A systematic review. Clin Teach. 2013;10(4):242–5. https://doi.org/10.1111/tct.12014 . Kabat-Zinn J. (2003). Wherever you go, there you are: Mindfulness meditation in everyday life . Mozumder MK. Reliability and validity of the Perceived Stress Scale in Bangladesh. PLoS ONE. 2022;17(10):e0276837. https://doi.org/10.1371/journal.pone.0276837 . National Academy of Medicine. (2022). Clinician resilience and well-being. Retrieved May 2, 2022, from https://nam.edu/initiatives/clinician-resilience-and-well-being/ Pascual K, Fredman A, Naum A, Patil C, Sikka N. Should mindfulness for health care workers go virtual? A mindfulness-based intervention using virtual reality and heart rate variability in the emergency department. Workplace Health Saf. 2023;71(4):188–94. https://doi.org/10.1177/21650799221126009 . Selmanovic S, Ramic E, Pranjic N, Brekalo-Lazarevic S, Pasic Z, Alic A. Stress at work and burnout syndrome in hospital doctors. Med Arh. 2011;65(4):221–4. van Dijk I, Lucassen PL, Speckens AE. Mindfulness training for medical students in their clinical clerkships: Two cross-sectional studies exploring interest and participation. BMC Med Educ. 2015;15:24. https://doi.org/10.1186/s12909-015-0302-9 . West CP, Dyrbye LN, Shanafelt TD. Physician burnout: Contributors, consequences and solutions. J Intern Med. 2018;283(6):516–29. https://doi.org/10.1111/joim.12752 . Additional Declarations No competing interests reported. Supplementary Files SupplementalMaterials.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6595275","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":477045386,"identity":"5d4d9dee-0b53-4b1c-b6fb-e0fe803a6ca8","order_by":0,"name":"Kim Meeks","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVRIiWNgGAWjYHACZiBOkEPwDxCpxZh0LYkNRGvRbW8+bPiDIS19bXvvww8f9zDI8d1IwK/F7Myx5GQehpzcbWeOG0vOeMZgLElQy40c48MMDBW5226ksTHzHGBI3EBQy/33nw/+YKhIN7v/jI35zwGGesJabvAwJwAdlmB2g42NGej1BAPCfkkzNuZhSDPcdiaNWbLngIThzDMPCGg5fvix5A+GZHmz48cYP/w4YCPPd5yALWDA+A/OlCBC+SgYBaNgFIwCggAAD/tF6PFsgS8AAAAASUVORK5CYII=","orcid":"","institution":"Mercer University","correspondingAuthor":true,"prefix":"","firstName":"Kim","middleName":"","lastName":"Meeks","suffix":""},{"id":477045387,"identity":"a3fa2cb2-5893-42fe-83c7-d1e5f5cdd4f0","order_by":1,"name":"Olivia Penela","email":"","orcid":"","institution":"Mercer University","correspondingAuthor":false,"prefix":"","firstName":"Olivia","middleName":"","lastName":"Penela","suffix":""},{"id":477045388,"identity":"c87196ad-872f-41bc-8837-8398af0fd4e4","order_by":2,"name":"Gautham Mudireddy","email":"","orcid":"","institution":"Mercer University","correspondingAuthor":false,"prefix":"","firstName":"Gautham","middleName":"","lastName":"Mudireddy","suffix":""},{"id":477045389,"identity":"ca20f3db-7513-4d23-ac9a-abffe057550a","order_by":3,"name":"Zach Brieck","email":"","orcid":"","institution":"Mercer University","correspondingAuthor":false,"prefix":"","firstName":"Zach","middleName":"","lastName":"Brieck","suffix":""},{"id":477045390,"identity":"e8b474ad-2e3f-4ab6-874b-d5109ee77252","order_by":4,"name":"Brad Lian","email":"","orcid":"","institution":"Mercer University","correspondingAuthor":false,"prefix":"","firstName":"Brad","middleName":"","lastName":"Lian","suffix":""},{"id":477045391,"identity":"f278f0e8-46cb-49fb-9c93-34198acd7200","order_by":5,"name":"Robert Hodge","email":"","orcid":"","institution":"Mercer University","correspondingAuthor":false,"prefix":"","firstName":"Robert","middleName":"","lastName":"Hodge","suffix":""}],"badges":[],"createdAt":"2025-05-05 14:23:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6595275/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6595275/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85543599,"identity":"291de73f-d3b6-42a5-bc39-9aee8c982bea","added_by":"auto","created_at":"2025-06-27 07:32:18","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":6181,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6595275/v1/22692822c2dcee435d94ded7.png"},{"id":97669938,"identity":"83e8d22b-d262-45ba-aaf3-793b309c34b4","added_by":"auto","created_at":"2025-12-08 09:29:25","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":598864,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6595275/v1/1a1fe058-653c-43c7-a5b7-535ce9f2ee15.pdf"},{"id":85544251,"identity":"4529a994-97f8-46d4-ba77-281a63c65d11","added_by":"auto","created_at":"2025-06-27 07:40:18","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":18762,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementalMaterials.docx","url":"https://assets-eu.researchsquare.com/files/rs-6595275/v1/cae5387ef8684ac46b664dc9.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Integrating a Unique Mindfulness-Based Stress Reduction Training into the First-Year Medical Student Curriculum","fulltext":[{"header":"Introduction","content":"\u003cp\u003eTraining to become a physician is a long journey that causes added stress and can lead to burnout. Medical students, on average, experience higher rates of depression and anxiety than the general population of the same age (Dyrbye et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). These feelings arise and become chronic from ineffective coping mechanisms and problem-solving in response to demanding and stressful situations associated with professional responsibilities (Selmanovic et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). The consequences of burnout affect not only the medical student or physician but also their patients and the healthcare system.\u003c/p\u003e \u003cp\u003eIn a recent meta-analysis on burnout in medical students, the overall prevalence was 37.2% (Almutairi et al, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). The prevalence of emotional exhaustion and depersonalization was 38.08% and 35.07%, respectively. The COVID pandemic brought increased awareness of healthcare worker burnout. The long hours in personal protective equipment caring for patients affected many healthcare workers\u0026rsquo; well-being. This brought into question how to best define burnout.\u003c/p\u003e \u003cp\u003eAccording to the National Academy of Medicine, burnout is characterized by a high degree of emotional exhaustion, depersonalization, and a low sense of personal accomplishment. Several U.S. institutions have estimated that at least half of all medical students experience burnout during their medical education (Social Driver, 2025). Burnout can lead to decreased productivity, compromised patient safety, and increased medical errors. Emotionally drained and weary physicians may struggle to meet the needs of the patient, resulting in suboptimal treatment outcomes. With an ever-increasing physician turnover due to burnout, continuity of care can be disrupted, and healthcare resources strained. Nevertheless, it is also important to consider the toll that burnout may have on the physicians themselves. Students often develop comorbid health conditions because of burnout (Ishak et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). A cross-sectional study showed there is a strong association between burnout severity and suicidal ideation and that 1 in every 10 medical students have experienced thoughts of suicide during their training (Ishak et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2013\u003c/span\u003e) Another study found that along with depression, physician burnout is associated with physician impairment more broadly, including a 25% increased odds of alcohol abuse/dependence (West et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eBecause of the effect one person\u0026rsquo;s mental health can have on an entire population, it brings into question what the best way is to alleviate these recurring problems of burnout. Teaching mindfulness-based stress reduction is one option. In 1994, John Kabat-Zinn, a noted mindfulness researcher, defined mindfulness as \u0026ldquo;\u003cem\u003ethe awareness that emerges through paying attention on purpose, in the present moment, and nonjudgmentally, to the unfolding of experience moment by moment.\u0026rdquo;\u003c/em\u003e (Kabat-Zinn, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2003\u003c/span\u003e, p. 145). Additionally, Bhante Gunaratana, a distinguished meditation teacher, simplified Kabat-Zinn\u0026rsquo;s generally accepted definition of mindfulness as paying attention moment to moment to what is (Gunaratana, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). The most popular technique to date is the mindfulness-based stress reduction (MBSR).\u003c/p\u003e \u003cp\u003eIn a study analyzing the benefits of mindfulness-based interventions in medical students, it was found that attending mindfulness training sessions improved medical students\u0026rsquo; depression, anxiety, and stress. MBSR is an 8-week group training program with a time commitment of 2.5 hours a week. Participants learn to practice mindfulness through various exercises such as meditation, psychoeducation, and practical applications integrated into daily activities. They are encouraged to change unhelpful automatic habits, enhance self-care, and adopt a non-judging attitude (van Dijk et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). These interventions help reduce stress, but they are challenging to implement in the busy schedules of medical students. Due to the significant time commitment required, medical students have withdrawn from various programs, including a five-month-long MBSR training (Alzahrani et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Many studies also highlight the positive outcomes of other mindfulness-based interventions (MBI) like simulation-based mastery learning (SBML) and mindfulness-breath counting (Cheung et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Fazia et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Pascual et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). While most of these studies have shown positive effects of mindfulness-based interventions, there is a limited number of studies involving mindfulness-based approaches to reduce stress in the medical school curriculum in the United States.\u003c/p\u003e \u003cp\u003eMedical students face challenges in this type of training due to their demanding workloads. Between students\u0026rsquo; study schedules, extracurricular involvements, and basic wellness needs, medical students have little time to devote to a program that requires even minimal commitment. We created a unique training course for first-year medical students based on meditation theory and mindfulness techniques. This course was designed to initiate and reinforce the habit of practicing mindfulness meditation techniques and seamlessly integrate the training into the curriculum. Three of the co-authors, who are medical students at the university, also worked on the project. The students' familiarity with the curriculum and its requirements allowed them to suggest effective ways to incorporate MeditateMD, thereby keeping the course workload manageable and boosting student engagement.\u003c/p\u003e \u003cp\u003eThis study was initiated to test the hypothesis that first-year medical students participating fully in the training will report improved ability to manage stress both during the training and in future situations.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eThe study was conducted in 2024 and relied upon a convenience sample and pre-experimental design. First-year medical students from each of School of Medicine\u0026rsquo;s three campuses were invited to participate in the MeditateMD program. To encourage participation, a certificate of completion and 15 service hours were offered to each student completing the course.\u003c/p\u003e \u003cp\u003eParticipating students completed a self-report assessment, the Perceived Stress Scale (PSS), to determine their stress levels pre- and post-training and three months post training. The scale, which is widely used and has been shown to be valid and reliable, consists of ten items covering one\u0026rsquo;s thoughts and feelings over the past 30 days.\u003csup\u003e9\u003c/sup\u003e There are five response options for each item: \u0026ldquo;Never\u0026rdquo; (coded as 0), \u0026ldquo;Almost never\u0026rdquo; (1), \u0026ldquo;Sometimes\u0026rdquo; (2), \u0026ldquo;Fairly often (3), and \u0026ldquo;Very often\u0026rdquo; (4). The scale's total score ranges from 0 to 40, with 0 to 13 representing low stress, 14 to 26 moderate stress, and greater than 27 to 40 considered high stress.\u003csup\u003e9\u003c/sup\u003e A post-training PSS assessment and a training course evaluation were administered upon completion of the training. The post-training evaluation consisted of 15 items with five-point Likert scale response options, ranging from not helpful (coded as 1) to very helpful (scored as 5). A text response, allowing participants the opportunity to add comments was also available for each item.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eTraining\u003c/h2\u003e \u003cp\u003eThe 14-week program, MeditateMD, incorporated mindfulness meditation techniques based on Eastern Philosophy coupled with current confirmatory neuroscientific findings and required a weekly two-hour commitment from participants.\u003c/p\u003e \u003cp\u003eMore specifically, in the program, which was implemented in the spring semester (Block 2) of the medical school curriculum, the students were given weekly 3\u0026ndash;5-page readings on Canvas, a learning management system used for other coursework, and asked to complete weekly Mindful Inquiry assignments. The inquiries asked them to reflect on a week\u0026rsquo;s corresponding readings and describe what they experienced when stress arose using the concepts and techniques covered that week. The teacher (Robert Hodge, MD) responded to all the Mindful Inquiry submissions on Canvas within 24 hours and was also available via text or email for questions. Each mid-week, there was a 30-minute Zoom meeting with the teacher who briefly summarized the reading, answered any questions, and asked the participants to share their experiences with the group. The teacher encouraged the students to actively participate in synchronous online meetings and throughout the entire program. The session was recorded for students who were unable to attend.\u003c/p\u003e \u003cp\u003eSeveral stress reduction techniques were introduced starting with the mindful breath pause and brief daily meditation. Students were encouraged to use the mindful breath pause as needed when stress arose and to meditate for 5\u0026ndash;10 minutes each day for the remainder of the training. Other topics taught during the course were understanding how the mind works, identifying the four principles of stress, learning how to let go, and cultivating loving-kindness and compassion. During the last week they were given a summary of all the readings and then were asked to complete the post-training evaluation and PSS. Three months after the training the participants were given another PSS to see how well the training kept their stress levels lower over time.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eOutcomes and Statistical Analysis\u003c/h3\u003e\n\u003cp\u003eTo assess the changes in participants' PSS scores before, immediately after, and three months post-training, a Wilcoxon signed-rank test was utilized. This test is the nonparametric counterpart to the dependent samples t-test and is appropriate for small sample sizes. A p-value less than or equal to 0.05 was set as the threshold for statistical significance. The post-training evaluation was assessed, and with every question the rankings were averaged to obtain a mean between 1 and 5.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eAll students successfully completed the 14-week training, the pre-, post-, and three-month post-training PSS, and the post-training evaluation.\u003c/p\u003e\n\u003ch3\u003ePSS Results\u003c/h3\u003e\n\u003cp\u003eThere was a statistically significant reduction in stress (p\u0026thinsp;=\u0026thinsp;.042) between pre- and post-training PSS scores, according to the Wilcoxon signed rank test. Tests comparing the 3-month post-test scores to both the pre- and post-tests indicated that the reduction seen in the pre-post results was short-lived, in that there were no statistically significant differences between the pre- and 3-month follow-up or the post- and 3-month follow-up scores (p\u0026thinsp;=\u0026thinsp;.292 and .131, respectively). Figure \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e shows the mean PSS scores for each of the testing periods.\u003c/p\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003eEvaluation results\u003c/h2\u003e\n \u003cp\u003eThe results of the post-training evaluation are presented in Table\u0026nbsp;1. The first column in the table includes questions asked in the evaluation and the second column includes the mean rankings from 1 to 5 on the Likert scale. A 1 on the scale represented the most negative opinions toward the questions, for example, 1 represented not helpful for some of the questions. A 5 on the scale represented the most positive opinion of the question, for example five represented most helpful for several of the questions. Questions 6, 7, and 9 were reverse coded to allow for easier understanding.\u003c/p\u003e\n \u003cp\u003eTable\u0026nbsp;1: Mean Item Rankings\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003ctable border=\"1\"\u003e\u003c/table\u003e\n \u003c/div\u003eIn the short answer section for each question, three students commented that the readings were appropriate in length and did not contribute additional stress to the already high-stress levels felt from medical school. Five out of the eight participants commented directly on the helpfulness of having the teacher personally involved throughout the course. Participants also commented on ways to improve the course, including lengthening it to the entire first year, adding optional readings, and changing the due date of the assignments to the weekend.\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe significant reductions in stress levels, as evidenced by the PSS scores before and after the training, highlight the program\u0026rsquo;s effectiveness in the short term. The average reduction of 5.25 points in stress indicates a shift from moderate to low stress, underscoring the program's benefits.\u003c/p\u003e \u003cp\u003eHowever, a slight increase in stress levels three months post-training suggests a potential fade-out effect, indicating the need for continued practice or additional support to sustain the benefits.\u003c/p\u003e \u003cp\u003eIn current scientific literature, it has been highlighted that the responsibilities and expectations of medical school put a strain on medical students\u0026rsquo; wellness, leading to high levels of stress\u003csup\u003e11\u003c/sup\u003e. This common occurrence of high-stress levels in medical students increased the number of mental health-based interventions. \u003csup\u003e11\u003c/sup\u003e As noted above, one type of program that has gained popularity is MBSR. One study on MBSR was performed in two schools in Saudi Arabia\u003csup\u003e9\u003c/sup\u003e. The study lasted for five months during the student's usual medical coursework\u003csup\u003e9\u003c/sup\u003e. One downfall of this program was the number of students that did not complete the whole course and post course measures\u003csup\u003e9\u003c/sup\u003e. To counteract the high probability of participants dropping out we created MeditateMD to be a concise 14 weeks (3 months) with around a 2-hour commitment per week. This turned out to be successful as evidenced by no one dropping out of the training and all participants completing the post-training measures.\u003c/p\u003e \u003cp\u003eTo allow for an easy transition into the program we used the same learning management system that School of Medicine uses, Canvas. The students rated that the use of the platform increased their overall experience significantly. Another factor unique to the course is the one-on-one interaction from the teacher throughout the course. The participants overall ranked the teacher positively and found him to be extremely helpful during the training. One person noted in the comments that if they could not understand one of the readings, they would never stress, since the teacher could always explain it to them.\u003c/p\u003e \u003cp\u003e The PSS was used to report the stress happening in the participants' lives and their ability to cope with it before and after the training session. It was found that the course was helpful in reducing stress and increasing their coping strategies due to the statistical significance of the data collected when comparing their pre and first post training PSS scores. In Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e there was a difference between the two PSS scores of 5.25 which shows that student\u0026rsquo;s stress levels went from moderate to low after the course. Although the PSS score after 3 months was not statistically different from the first pre-PSS, it was only a couple points higher on average than the post-PSS. This could indicate a fade out effect, possibly due to the students not continuing to use the techniques or the need for further longer-term reinforcement.\u003c/p\u003e"},{"header":"Limitations","content":"\u003cp\u003eOne limitation was the small sample size of the study. Although we did have some diversity in the participants, we hope to expand the number during the next course and gather more information on their demographic information. We also did not have a control group for this study, which limits are ability to draw definitive causal conclusions. Another limitation was the constraint of the perceived stress scale. The PSS focuses on finding the participants' current level of stress and how confident they feel in their ability to cope with it. Our project focuses on stress and mindfulness, and this scale did not rank their knowledge of mindfulness or prior use of mindfulness practices. This left us not knowing their starting level of knowledge on the subject. We plan on adding other questionnaires to counteract this problem. Another limitation is the effects of the course starting to wear off over time.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThis study indicated that a mindfulness-based training program increases medical students\u0026rsquo; ability to cope with stress. Comparison between the pre and post stress levels were significant and showed that the mindfulness techniques taught in the MeditateMD program were helpful in reducing stress and increasing confidence in participants\u0026rsquo; ability to cope with stress.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics Approval and Consent to Participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was reviewed and approved by the Mercer University Institutional Review Board (IRB) and conducted in accordance with the Declaration of Helsinki. Written informed consent to participate was obtained from all participants prior to their involvement.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to Participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWritten informed consent was obtained from all participants included in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding Declaration\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHuman Ethics and Consent to Participate Declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHuman ethics approval and informed consent to participate were obtained as noted above.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical Trail Number: Not Applicable\u003c/strong\u003e\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAlmutairi H, Alsubaiei A, Abduljawad S, Alshatti A, Fekih-Romdhane F, Husni M, Jahrami H. Prevalence of burnout in medical students: A systematic review and meta-analysis. Int J Soc Psychiatry. 2022;68(6):1157\u0026ndash;70. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/00207640221106691\u003c/span\u003e\u003cspan address=\"10.1177/00207640221106691\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlzahrani AM, Hakami A, AlHadi A, et al. The effectiveness of mindfulness training in improving medical students' stress, depression, and anxiety. PLoS ONE. 2023;18(10):e0293539. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1371/journal.pone.0293539\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0293539\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCheung EO, Barsuk JH, Mitra D, Gannotta RJ, Horowitz B, Didwania AK, Victorson D. Preliminary efficacy of a brief mindfulness intervention for procedural stress in medical intern simulated performance: A randomized controlled pilot trial. J Altern Complement Med. 2020;26(4):282\u0026ndash;90. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1089/acm.2019.0281\u003c/span\u003e\u003cspan address=\"10.1089/acm.2019.0281\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, and other indicators of psychological distress among U.S. and Canadian medical students. Acad Med. 2006;81(4):354\u0026ndash;73. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1097/00001888-200604000-00009\u003c/span\u003e\u003cspan address=\"10.1097/00001888-200604000-00009\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFazia T, Bubbico F, Nova A, Buizza C, Cela H, Iozzi D, Calgan B, Maggi F, Floris V, Sutti I, Bruno S, Ghilardi A, Bernardinelli L. Improving stress management, anxiety, and mental well-being in medical students through an online mindfulness-based intervention: A randomized study. Sci Rep. 2023;13(1):8214. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41598-023-35002-1\u003c/span\u003e\u003cspan address=\"10.1038/s41598-023-35002-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGunaratana H. Eight mindful steps to happiness: Walking the path of the Buddha. Wisdom; 2001.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIshak W, Nikravesh R, Lederer S, Perry R, Ogunyemi D, Bernstein C. Burnout in medical students: A systematic review. Clin Teach. 2013;10(4):242\u0026ndash;5. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/tct.12014\u003c/span\u003e\u003cspan address=\"10.1111/tct.12014\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKabat-Zinn J. (2003). \u003cem\u003eWherever you go, there you are: Mindfulness meditation in everyday life\u003c/em\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMozumder MK. Reliability and validity of the Perceived Stress Scale in Bangladesh. PLoS ONE. 2022;17(10):e0276837. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1371/journal.pone.0276837\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0276837\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNational Academy of Medicine. (2022). Clinician resilience and well-being. Retrieved May 2, 2022, from \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://nam.edu/initiatives/clinician-resilience-and-well-being/\u003c/span\u003e\u003cspan address=\"https://nam.edu/initiatives/clinician-resilience-and-well-being/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePascual K, Fredman A, Naum A, Patil C, Sikka N. Should mindfulness for health care workers go virtual? A mindfulness-based intervention using virtual reality and heart rate variability in the emergency department. Workplace Health Saf. 2023;71(4):188\u0026ndash;94. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/21650799221126009\u003c/span\u003e\u003cspan address=\"10.1177/21650799221126009\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSelmanovic S, Ramic E, Pranjic N, Brekalo-Lazarevic S, Pasic Z, Alic A. Stress at work and burnout syndrome in hospital doctors. Med Arh. 2011;65(4):221\u0026ndash;4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003evan Dijk I, Lucassen PL, Speckens AE. Mindfulness training for medical students in their clinical clerkships: Two cross-sectional studies exploring interest and participation. BMC Med Educ. 2015;15:24. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s12909-015-0302-9\u003c/span\u003e\u003cspan address=\"10.1186/s12909-015-0302-9\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWest CP, Dyrbye LN, Shanafelt TD. Physician burnout: Contributors, consequences and solutions. J Intern Med. 2018;283(6):516\u0026ndash;29. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/joim.12752\u003c/span\u003e\u003cspan address=\"10.1111/joim.12752\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-6595275/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6595275/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eObjective:\u003c/strong\u003e To describe and evaluate MeditateMD’s effectiveness in reducing perceived stress among first-year students and to examine its feasibility when integrated into a medical school curriculum.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eIn 2024,\u003cstrong\u003e \u003c/strong\u003eeight first-year students from School of Medicine participated in the program, undergoing pre-, immediate post-, and three-month post-training Perceived Stress Scale (PSS) assessments to measure changes in stress levels.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e Statistical analysis using the Wilcoxon signed-rank test revealed a significant reduction in stress levels immediately following the program. The reduction was not evident at 3-month follow-up however. \u0026nbsp;Student evaluations post-training were overwhelmingly positive, praising the program’s relevance and practical benefits.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e MeditateMD enhances first-year medical students' abilities to manage stress, demonstrating significant immediate benefits. However, ongoing mindfulness practices might be needed to maintain long-term benefits.\u003c/p\u003e","manuscriptTitle":"Integrating a Unique Mindfulness-Based Stress Reduction Training into the First-Year Medical Student Curriculum","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-27 07:32:13","doi":"10.21203/rs.3.rs-6595275/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"26c0c529-8cde-4d50-abec-960fdb24a411","owner":[],"postedDate":"June 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-12-04T17:08:29+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-27 07:32:13","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6595275","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6595275","identity":"rs-6595275","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}