护理本科生学业倦怠:睡眠质量与健康生活方式的预测作用

H. Naderi, H. Dehghan, Shahrbanoo Dehrouyeh, Elahe Tajik
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引用次数: 4

摘要

背景:学业倦怠是一种严重的威胁,它会影响任何学生的学业生活,尤其是护理专业的学生。睡眠质量和健康的生活方式是与学业倦怠相关的变量。本研究旨在根据睡眠质量和生活方式预测护理本科生的学业倦怠。方法:本研究采用描述性和相关性设计。统计人群包括克尔曼医学科学大学拉齐护理与助产学院的所有护理本科生(伊朗克尔曼;2016-2017学年)。在270名学生中,使用随机整群抽样方法选择了143名学生。采用学业倦怠问卷、匹兹堡睡眠质量指数(PSQI)和生活方式量表收集数据。数据分析采用了使用输入法的线性回归分析。结果:学生的学业倦怠与PSQI总分(P=0.000,r=0.547)及其部分亚量表(包括主观睡眠质量(P=0.0000,r=0.607)、睡眠潜伏期(P=0.019,r=0.196)、睡眠持续时间(P=0.014,r=0.206)、睡眠障碍(P=0.000、r=0.346)和日间嗜睡功能障碍(P=0.000和r=0.654)呈显著正相关,大学生学业倦怠与健康生活方式呈负相关(P=0.000,r=-0.507)。因此,护理本科生学业倦怠的潜力可以通过睡眠质量和生活方式来预测(P=0.0000,F=23.480)。结论:通过提高睡眠质量和过上更健康的生活方式,学生可能不太可能经历学业倦怠。
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Academic burnout among undergraduate nursing students: Predicting the role of sleep quality and healthy lifestyle
Background: Academic burnout is a serious threat that can affect any student’s academic life, especially nursing students. Sleep quality and a healthy lifestyle are variables are related to academic burnout. This study aimed to predict undergraduate nursing students’ academic burnout based on sleep quality and lifestyle. Methods: The study was descriptive and correlational in design. The statistical population included all undergraduate nursing students of the Razi School of Nursing and Midwifery at the Kerman University of Medical Sciences (Kerman, Iran; 2016-2017 academic year). Of 270 students,143 students were selected using a random cluster sampling method. The Academic Burnout Questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the LifeStyle Inventory were used to collect data. A linear regression analysis using the enter method was employed for data analysis. Results: There was a significantly positive correlation between students’ academic burnout and total PSQI score (P=0.000, r=0.547) and some of its sub-scales, including subjective sleep quality (P=0.000, r=0.607), sleep latency (P=0.019, r=0.196), sleep duration (P=0.014, r=0.206), sleep disturbance (P=0.000, r=0.346), and daytime dysfunction due to sleepiness (P=0.000, r=0.654). Conversely, the relationship between students’ academic burnout and healthy lifestyle was negatively significant (P=0.000, r=-0.507). Thus, the potential for undergraduate nursing students’ academic burnout can be predicted by sleep quality and lifestyle (P=0.000, F=23.480). Conclusions: By improving sleep quality and living a healthier lifestyle, students may be less likely to experience academic burnout.
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18 weeks
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