Perceived sleep quality: a comparison between hospital nurses and student nurses

Author:

Rahman Hanif Abdul1,Hatsanee Asma'2,Menjeni Nurmarinah Aqilah2,Salleh Zainatul Ashiqin3,Hamid Ramlah Abdul4,Ali Mursidi3

Affiliation:

1. Assistant Professor, PAPRSB Institute of Health Sciences, and Research Scholar, School of Nursing, University of Michigan

2. Registered Nurse, Ministry of Health, Brunei Darussalam

3. Lecturer, PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam

4. Nurse officer, Ministry of Health, Brunei Darussalam

Abstract

Background: The prevalence of poor sleep quality is high among nurses, and affects them physically and psychologically as well as organisational functioning. However, evidence on equipping student nurses with good sleep practices that could mitigate poor sleep as they transition into the nursing workforce is lacking. Aim: This study compared the prevalence and quality of good sleep among hospital nurses and student nurses. Methods: A descriptive cross-sectional study of 130 hospital nurses and 130 student nurses in Brunei was carried out. Sleep quality was assessed using the Pittsburgh Sleep Quality index. Multiple logistic regression was applied. Results: Hospital nurses were 4.29 times more likely to experience poor sleep than student nurses. Those who were overweight were 2.35 times more likely to have poor sleep quality than those with a healthy weight. Although students had significantly good sleep latency, needing less time to fall asleep, they experienced significantly more sleep disturbances, shorter sleep duration and less sleep efficiency. Conclusion: The prevalence of poor sleep quality among nurses in Brunei is higher than global estimates. Stakeholders such as nursing leaders, nursing educators and healthcare policymakers should prepare student nurses and help existing nurses by formulating strategies to promote working schedules and rosters that minimise circadian disruption.

Publisher

Mark Allen Group

Subject

General Nursing

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3