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约旦大学生睡眠质量的流行状况及相关因素:一项全国性的横断面研究。

Prevalence and Correlates of Sleep Quality Among Jordanian University Students: A Cross-Sectional National Study.

机构信息

54658The University of Jordan, Amman, Jordan.

出版信息

Eval Health Prof. 2022 Jun;45(2):176-182. doi: 10.1177/0163278720983415. Epub 2020 Dec 28.

Abstract

Poor sleep quality affects university students' life and increases their risk of long-term health consequences. This study aimed to describe the quality of sleep among Jordanian university students, examine differences in sleep quality according to selected variables, and identify predictors of sleep quality. A cross-sectional correlational design and a multi-strategic sampling technique were used to select a sample of 1,308 university students. The Pittsburgh Sleep Quality Index, the Perceived Stress Scale, and the Sleep Hygiene Instrument were administered to the subjects. Ttest, ANOVA, and multiple regressions were used to analyze the data. The results showed that most students were classified as poor sleepers (87.1%), and only (12.8%) reported having a good sleep quality. Among the components of sleep quality, subjective sleep quality (m = 1.90, SD = 0.89) and daytime dysfunction (m = 1.72, SD = 0.67) had the highest mean scores, while sleep efficiency (m = 0.50, SD = 0.91) and the use of sleep medications (m = 0.23, SD = 0.73) had the lowest mean scores. There were statistically significant differences in sleep quality in relation to residency, academic level, academic achievement, and family income. Significant predictors of sleep quality were gender, marital status, employment status, sleep hygiene, and stress.

摘要

睡眠质量差会影响大学生的生活,并增加他们长期健康后果的风险。本研究旨在描述约旦大学生的睡眠质量,根据选定的变量检查睡眠质量的差异,并确定睡眠质量的预测因素。采用横断面相关性设计和多策略抽样技术选择了 1308 名大学生的样本。向受试者发放了匹兹堡睡眠质量指数、感知压力量表和睡眠卫生量表。使用 t 检验、方差分析和多元回归分析来分析数据。结果表明,大多数学生被归类为睡眠质量差(87.1%),只有(12.8%)报告睡眠质量好。在睡眠质量的各个组成部分中,主观睡眠质量(m = 1.90,SD = 0.89)和日间功能障碍(m = 1.72,SD = 0.67)的平均得分最高,而睡眠效率(m = 0.50,SD = 0.91)和睡眠药物的使用(m = 0.23,SD = 0.73)的平均得分最低。睡眠质量与居住地点、学历、学业成绩和家庭收入有关存在统计学差异。睡眠质量的显著预测因素是性别、婚姻状况、就业状况、睡眠卫生和压力。

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