沙特阿拉伯医学生网络成瘾与睡眠质量之间的关系。

Annals of medicine Pub Date : 2024-12-01 Epub Date: 2024-01-31 DOI:10.1080/07853890.2024.2307502
Mohammad Ahmed Hammad, Mohammed Hussain Feheed Alyami, Huda Shaaban Awed
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引用次数: 0

摘要

背景:睡眠是人类的基本需求之一,是所有年龄段的人保持高质量生活和身心健康的必要条件。睡眠质量差往往源于不良的生活习惯,包括过度使用互联网。因此,确定沙特阿拉伯青少年网络游戏障碍的患病率并研究网络成瘾程度与睡眠质量之间的关系非常重要:数据收集自沙特阿拉伯南部地区的 338 名医科学生(平均年龄 = 21.2 岁,标准差 = 3.29 岁)。参与者填写了一份在线问卷,其中包括网络成瘾测试(IAT)和匹兹堡睡眠质量指数(PSQI)。数据分析采用了迭代法、卡方检验、皮尔逊相关系数和方差分析:结果显示,21%的参与者表现出严重的网络成瘾,31%的参与者表现出中度网络成瘾。此外,研究结果表明,睡眠质量与网络成瘾的严重程度呈正相关。即使在控制了人口统计学变量后,睡眠质量症状仍能解释网瘾评分中 75% 的差异。其他的双变量分析表明,每天上网时间达到或超过六小时的人更容易出现睡眠质量差的症状,网瘾的严重程度也更高。此外,与女性相比,男性更容易患上网瘾。此外,有网瘾的学生往往学习成绩较差:这些发现虽然是探索性的,但却为减轻医科大学生网络成瘾和提高睡眠质量的潜在干预措施、策略和计划提供了宝贵的见解。
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The association between internet addiction and sleep quality among medical students in Saudi Arabia.

Background: Sleep is one of the fundamental human needs, essential for maintaining a high quality of life and mental and physical well-being across all age groups. Poor sleep quality often stems from negative lifestyle habits, including excessive internet usage. Therefore, it is important to determine the prevalence of internet gaming disorder among youth in Saudi Arabia and to examine the relationship between internet addiction levels and sleep quality.

Methods: Data were collected from 338 medical students in the southern region of Saudi Arabia (mean age = 21.2 years, standard deviation = 3.29 years). Participants completed an online questionnaire comprising the Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI). Data analysis employed iterations, chi-square tests, Pearson correlation coefficients, and ANOVA.

Results: The results revealed that 21% of the participants exhibited severe internet addiction, while 31% displayed moderate internet addiction. Furthermore, the findings indicated a positive correlation between sleep quality and the severity of internet addiction. Sleep quality symptoms explained 75% of the variance in Internet addiction scores, even after controlling for demographic variables. Additional bivariate analyses revealed that individuals who spent six or more hours online daily were more likely to experience symptoms of poor sleep quality and exhibit a higher severity of internet addiction. Additionally, Men were more susceptible to developing internet addiction compared to women. Moreover, students with internet addiction tended to have lower academic achievements.

Conclusion: These findings, while exploratory, offer valuable insights into potential interventions, strategies, and programs for mitigating internet addiction and enhancing sleep quality among medical college students.

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