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Sleep and academic performance in undergraduates: A multi-measure, multi-predictor approach

机译:大学生的睡眠和学习成绩:一种多指标,多指标的方法

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The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55% female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness/eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R~2=0.14 and adjusted R~2=0.14, F(5, 1234)=40.99, p<.0001). Associations between academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables and lifestyles of the students.
机译:本研究研究了睡眠模式与大学生学业成就的多种指标之间的关系,并测试了在其他潜在的预测因素(例如上课时间,学习时间和药物使用情况)下,睡眠变量是否成为随后学业成绩的重要预测因素被考虑。在学期中期对睡眠,学业,生活方式和幸福感的自我应答调查问卷,样本中有1654名(55%的女性)17至25岁的全日制本科生。除了自我报告的学习成绩指标外,在学期末还收集了每个学生的最终成绩。单因素分析发现,睡眠阶段,早晨/晚上偏好,睡眠剥夺,睡眠质量和睡眠不规律与至少两项学业成绩指标显着相关。在15个潜在的预测因素中,逐步多元回归分析确定了5个学期末分数的重要预测因素:以前的学业成绩,上课人数,充足的睡眠,夜间郊游和睡眠质量(R〜2 = 0.14和调整后的R〜2 = 0.14 ,F(5,1234)= 40.99,p <.0001)。学业成绩与其余睡眠变量以及学业,幸福感和生活方式变量之间的关联在逐步回归中失去了意义。自我报告的睡眠质量和自我报告的充足睡眠频率与课堂出勤,夜间郊游和以前的学习成绩一起,是学习成绩的主要预测指标,无论学习者的学历变量和生活方式如何,都可以做出独立而重要的贡献。学生们。

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