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青少年的睡眠变异性与疲劳:与学校相关特征的关联。

Sleep variability and fatigue in adolescents: Associations with school-related features.

作者信息

Matos M G, Gaspar T, Tomé G, Paiva T

机构信息

FMH/University of Lisbon & ISAMB/University of Lisbon, Lisbon, Portugal.

Psychology School, Lusíada University of Lisbon & ISAMB/University of Lisbon, Lisbon, Portugal.

出版信息

Int J Psychol. 2016 Oct;51(5):323-31. doi: 10.1002/ijop.12167. Epub 2015 May 4.

Abstract

This study aims to evaluate the influences of sleep duration and sleep variability (SleepV), upon adolescents' school-related situations. The Health Behaviour in School-Aged Children (HBSC) survey is based on a self-completed questionnaire. The participants were 3164 pupils (53.7% girls), attending the 8th and 10th grades, 14.9 years old, and were inquired about subjective sleep duration during the week and weekends, SleepV, fatigue, difficulties in sleep initiation, school achievement, feelings towards schools, pressure with school work and skipping classes. Multiple regression models used, as dependent variables: (a) school achievement, (b) disliking school, (c) pressure with school work and (d) skipping classes, using as independent variables, each of the remaining school-related variables, fatigue, total sleep duration and difficulties in sleep initiation. The average sleep duration in the week and during weekdays was lower than recommended for these age groups, and almost half of students had high SleepV between weekdays and weekends. A logistic model revealed that the absence of SleepV was associated with lower perception of school work pressure, less frequent skipping classes, more infrequent fatigue and more infrequent difficulties in sleep initiation. Poor sleep quality, SleepV and insufficient sleep duration affected negatively school-related variables.

摘要

本研究旨在评估睡眠时间和睡眠变异性(SleepV)对青少年学校相关情况的影响。学龄儿童健康行为(HBSC)调查基于一份自我填写的问卷。参与者为3164名学生(53.7%为女生),就读于八年级和十年级,年龄为14.9岁,被询问了一周内及周末的主观睡眠时间、SleepV、疲劳程度、入睡困难情况、学业成绩、对学校的感受、学业压力以及逃课情况。使用多元回归模型,将以下作为因变量:(a)学业成绩,(b)不喜欢学校,(c)学业压力,(d)逃课,将其余与学校相关的变量、疲劳程度、总睡眠时间和入睡困难情况作为自变量。一周内及工作日的平均睡眠时间低于这些年龄组的推荐值,近一半的学生在工作日和周末之间存在较高的SleepV。一个逻辑模型显示,不存在SleepV与较低的学业压力感知、较少的逃课频率、较少的疲劳以及较少的入睡困难相关。睡眠质量差、SleepV和睡眠时间不足对与学校相关的变量产生了负面影响。

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