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医学生的手机使用情况与睡眠模式。

Mobile usage and sleep patterns among medical students.

作者信息

Yogesh Saxena, Abha Shrivastava, Priyanka Singh

出版信息

Indian J Physiol Pharmacol. 2014 Jan-Mar;58(1):100-3.

Abstract

Exposure of humans to radio frequency electromagnetic field (EMF) both during receiving and transmitting the signals has amplified public and scientific debate about possible adverse effects on human health. The study was designed with the objective of assessing the extent of mobile phone use amongst medical students and finding correlation if any between the hours of usage of mobile to sleep pattern and quality. hundred medical students grouped as cases (n = 57) (> 2 hours/day of mobile usage) and control (n = 43) (≤ 2 hours/day of mobile usage) were examined for their sleep quality & pattern by Pittsburg sleep Quality Index (PSQI). Differences between groups were examined with the Mann Whitney "U" test for proportions (Quantitative values) and with Student't' test for continuous variables. The association of variables was analyzed by Spearman Rank's correlation. Probability was set at < 0.05 as significant. Sleep disturbance, latency and day dysfunction was more in cases especially females. A significant association of hours of usage and sleep indices were observed in both genders (males r = 0.25; p = 0.04, females r = 0.31; p = 0.009). Evening usage of mobile phone in cases showed a statistically significant negative association (-0.606; p = 0.042) with Sleep quality (higher PSQI means sleep deprivation). Students using mobile for > 2 hours/day may cause sleep deprivation and day sleepiness affecting cognitive and learning abilities of medical students.

摘要

人类在接收和发射信号过程中接触射频电磁场(EMF)引发了公众和科学界对其可能对人类健康产生的不利影响的广泛争论。本研究旨在评估医学生使用手机的程度,并探究手机使用时长与睡眠模式和质量之间是否存在相关性。将100名医学生分为病例组(n = 57)(每天使用手机超过2小时)和对照组(n = 43)(每天使用手机不超过2小时),通过匹兹堡睡眠质量指数(PSQI)对他们的睡眠质量和模式进行检查。组间差异采用Mann Whitney “U”检验分析比例(定量值),采用Student't'检验分析连续变量。变量之间的关联通过Spearman等级相关性进行分析。设定概率<0.05为显著。病例组尤其是女性的睡眠障碍、入睡潜伏期和日间功能障碍更为严重。在男女两性中均观察到使用时长与睡眠指标之间存在显著关联(男性r = 0.25;p = 0.04,女性r = 0.31;p = 0.009)。病例组中晚上使用手机与睡眠质量呈统计学显著负相关(-0.606;p = 0.042)(PSQI越高意味着睡眠不足)。每天使用手机超过两小时的学生可能会导致睡眠不足和日间嗜睡,从而影响医学生的认知和学习能力。

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