School of Psychological Science, Oregon State University, Corvallis, Oregon, USA.
Department of Psychology, University of Arizona, Tucson, Arizona, USA.
Chronobiol Int. 2023 Sep 2;40(9):1291-1295. doi: 10.1080/07420528.2023.2256845. Epub 2023 Oct 9.
The objective of the current study was to examine the relationship between sleep characteristics and college degree attainment. Participants were 968 college students (72% female; mean age 19.7 [1.7]). Participants completed a psychosocial and sleep questionnaire battery followed by one week of daily sleep diaries. Academic degree completion data was obtained from the university registrar 10 years later. Logistic regression examined whether mean and variability in sleep duration and sleep efficiency and insomnia symptoms predicted degree attainment, adjusting for age, gender, semester, grade point average (GPA), and perceived stress. The strongest predictors of degree attainment were female gender (OR = 0.67), greater age (OR = 1.32), GPA (OR = 1.97), and lower intraindividual variability in sleep duration (OR = 0.99). Results highlight the importance of examining variability in sleep duration in addition to mean sleep duration in predicting college retention. Future research should use a combination of objective and subjective measures to explore the impact of sleep factors, including variability, on degree completion and other academic metrics.
本研究旨在探讨睡眠特征与获得大学学位之间的关系。参与者为 968 名大学生(72%为女性;平均年龄为 19.7[1.7])。参与者完成了一份社会心理和睡眠问卷,随后进行了一周的日常睡眠日记记录。10 年后,从大学注册处获得了学术学位完成数据。逻辑回归检验了睡眠持续时间和睡眠效率以及失眠症状的平均值和变异性是否预测学位获得,同时调整了年龄、性别、学期、平均绩点(GPA)和感知压力。对学位获得的最强预测因素是女性性别(OR=0.67)、年龄较大(OR=1.32)、GPA(OR=1.97)和睡眠持续时间的个体内变异性较低(OR=0.99)。研究结果强调了在预测大学保留率时,除了平均睡眠时间外,还需要检查睡眠持续时间的变异性。未来的研究应结合客观和主观测量来探索睡眠因素(包括变异性)对学位完成和其他学术指标的影响。