Soleiman Ahmady, Hossein Karimi Moonaghi, Ali Kheradmand
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Statistical analyses, including t-tests, chi-square tests, and regression analyses, were performed using SPSS version 24.</p><p><strong>Results: </strong>The study found a high prevalence of severe procrastination among medical students. Age, gender, and Internet addiction emerged as significant predictors of procrastination, with younger students, females, and those with higher levels of Internet addiction exhibiting greater procrastination tendencies. Other factors, including educational status, second job, work experience, marital status, living arrangements, socioeconomic status, GPA, psychological issues, self-confidence, stress during tests, and motivation, did not significantly predict procrastination. These findings underscore the complexity of academic procrastination and its multifaceted determinants.</p><p><strong>Conclusion: </strong>Interventions to reduce procrastination should consider key demographic and psychological factors, especially focusing on younger students, females, and those with high levels of Internet addiction. Further research is required to explore causal relationships and develop targeted strategies for addressing procrastination in medical education.</p>","PeriodicalId":30645,"journal":{"name":"Journal of Advances in Medical Education and Professionalism","volume":"13 1","pages":"67-75"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788769/pdf/","citationCount":"0","resultStr":"{\"title\":\"Determinants of Educational Procrastination among Medical Students at Shahid Beheshti University of Medical Sciences.\",\"authors\":\"Soleiman Ahmady, Hossein Karimi Moonaghi, Ali Kheradmand\",\"doi\":\"10.30476/jamp.2024.104251.2047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Educational procrastination is a pervasive issue among students, influenced by a range of demographic, psychological, and behavioral factors. This study aimed to assess the prevalence and determinants of educational procrastination among medical students at Shahid Beheshti University of Medical Sciences, focusing on the unique challenges posed by remote learning and Internet use.</p><p><strong>Methods: </strong>A quantitative, cross-sectional study was conducted involving 200 medical students who had completed the basic sciences courses. Data were collected using a demographic questionnaire, Solomon and Rothbloom's academic procrastination questionnaire, and a researcher-made questionnaire assessing the factors contributing to procrastination. Statistical analyses, including t-tests, chi-square tests, and regression analyses, were performed using SPSS version 24.</p><p><strong>Results: </strong>The study found a high prevalence of severe procrastination among medical students. 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引用次数: 0
摘要
教育拖延症是学生中普遍存在的问题,受一系列人口、心理和行为因素的影响。本研究旨在评估Shahid Beheshti医学科学大学医学生中学习拖延症的患病率和决定因素,重点关注远程学习和互联网使用带来的独特挑战。方法:对200名完成基础科学课程的医学生进行定量、横断面研究。数据收集使用人口统计问卷、Solomon and Rothbloom的学术拖延问卷和研究者自行制作的评估拖延因素的问卷。统计分析采用SPSS version 24进行,包括t检验、卡方检验和回归分析。结果:本研究发现医学生中严重拖延症的发生率较高。年龄、性别和网络成瘾是拖延症的重要预测因素,年龄较小的学生、女性和网络成瘾程度较高的学生表现出更大的拖延症倾向。其他因素,包括教育程度、第二份工作、工作经验、婚姻状况、生活安排、社会经济地位、GPA、心理问题、自信、考试压力和动机,对拖延症没有显著的预测作用。这些发现强调了学习拖延症的复杂性及其多方面的决定因素。结论:减少拖延症的干预措施应考虑关键的人口统计学和心理因素,尤其应关注低年级学生、女性和网络成瘾程度高的人群。需要进一步的研究来探索因果关系,并制定有针对性的策略来解决医学教育中的拖延问题。
Determinants of Educational Procrastination among Medical Students at Shahid Beheshti University of Medical Sciences.
Introduction: Educational procrastination is a pervasive issue among students, influenced by a range of demographic, psychological, and behavioral factors. This study aimed to assess the prevalence and determinants of educational procrastination among medical students at Shahid Beheshti University of Medical Sciences, focusing on the unique challenges posed by remote learning and Internet use.
Methods: A quantitative, cross-sectional study was conducted involving 200 medical students who had completed the basic sciences courses. Data were collected using a demographic questionnaire, Solomon and Rothbloom's academic procrastination questionnaire, and a researcher-made questionnaire assessing the factors contributing to procrastination. Statistical analyses, including t-tests, chi-square tests, and regression analyses, were performed using SPSS version 24.
Results: The study found a high prevalence of severe procrastination among medical students. Age, gender, and Internet addiction emerged as significant predictors of procrastination, with younger students, females, and those with higher levels of Internet addiction exhibiting greater procrastination tendencies. Other factors, including educational status, second job, work experience, marital status, living arrangements, socioeconomic status, GPA, psychological issues, self-confidence, stress during tests, and motivation, did not significantly predict procrastination. These findings underscore the complexity of academic procrastination and its multifaceted determinants.
Conclusion: Interventions to reduce procrastination should consider key demographic and psychological factors, especially focusing on younger students, females, and those with high levels of Internet addiction. Further research is required to explore causal relationships and develop targeted strategies for addressing procrastination in medical education.