医学生使用智能手机与睡眠障碍的关系

Avicenna Journal of Medicine Pub Date : 2024-09-25 eCollection Date: 2024-07-01 DOI:10.1055/s-0044-1788772
Mohammed Alhafi, Rashed Matrood, Mohammad Alamoudi, Yazzed Alshaalan, Mohammed Alassafi, Aamir Omair, AbeerAl Harthi, Laila Layqah, Mutaz Althobaiti, Jinan Shamou, Salim Alawi Baharoon
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引用次数: 0

摘要

背景 智能手机已成为所有医科学生都在使用的重要工具,但研究发现,使用此类设备与睡眠障碍有关。本研究旨在估算医科学生中智能手机成瘾与睡眠质量差之间的流行程度和关系。方法 在沙特阿拉伯利雅得沙特本阿卜杜勒阿齐兹国王健康科学大学五年级和六年级医学生中开展了一项横断面研究。研究人员发放了一份自填式问卷,以调查智能手机的使用与睡眠障碍之间的关系。问卷内容包括人口统计学细节、匹兹堡睡眠质量指数(PSQI)和智能手机成瘾量表简版(SAS-SV)。结果 所有 251 名受访者都拥有智能手机,用于社交媒体、通信、学习等。大部分学生被认定为智能手机成瘾者(65%),75%的学生睡眠质量较差。145名(85%)有智能手机成瘾的学生睡眠质量很差。智能手机成瘾与睡眠质量差明显相关(几率比 [OR]:4.271;95% 置信区间 [CI]:2.300-7.933;P P 值分别为 0.668 和 0.361。与男生(60%;P = 0.004)相比,智能手机成瘾在女生(80%)中的发生率明显更高,平均成瘾分数分别为 43.5 ± 11.5 和 33.5 ± 9.1(P 结论 我们的研究表明,智能手机成瘾与睡眠质量差之间存在显著关联。强烈建议为医学生提供咨询服务,以帮助那些患有智能手机成瘾和睡眠困难的医学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Association of Smartphone Usage with Sleep Disturbances among Medical Students.

Background  Smartphones have become an important and vital instrument that all medical students utilize, but the usage of such devices has been found to be connected to sleep disturbances. The aim of this study was to estimate the prevalence and the relationship between smartphone addiction and poor sleep quality among medical students. Methods  A cross-sectional study was conducted among the fifth- and sixth-year medical students at King Saud bin Abdulaziz University for Health Sciences in Riyadh, Saudi Arabia. A self-administered questionnaire was distributed to investigate the relation between smartphone usage and sleep disturbances. The questionnaires included demographic details, Pittsburgh Sleep Quality Index (PSQI) and smartphone addiction scale short version (SAS-SV). Results  All 251 respondents had smartphones that were utilized for social media, communication, studying, etc. Most of the students were identified as smartphone addicts (65%), and 75% of the students had poor sleep quality. Sleep quality was found to be poor in 145 (85%) students with smartphone addiction. Smartphone addiction was significantly associated with poor sleep quality (odds ratio [OR]: 4.271; 95% confidence interval [CI]: 2.300-7.933; p  < 0.001). Gender and academic year were not significant predictors of poor sleep quality with p -values of 0.668 and 0.361, respectively. Smartphone addiction was significantly more prevalent among female students (80%) compared to male students (60%; p  = 0.004), with the mean addiction score of 43.5 ± 11.5 and 33.5 ± 9.1, respectively ( p  < 0.001). Conclusion  Our study shows a significant association between smartphone addiction and poor sleep quality. It is strongly recommended that counseling services be provided to medical students to assist those suffering from smartphone addiction and sleep difficulties.

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