在 COVID-19 期间,古吉拉特邦贾姆纳加尔中学生和高中生中网络成瘾的普遍程度及其与睡眠质量的关系。

Industrial Psychiatry Journal Pub Date : 2024-08-01 Epub Date: 2024-08-27 DOI:10.4103/ipj.ipj_123_24
Niraj P Patel, Anusha S Garg, Deepak S Tiwari, Viral R Shah
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引用次数: 0

摘要

背景:互联网是当今社会的重要组成部分。近年来,互联网在教育领域的使用有所增加。在 COVID 大流行期间,学校关闭,通过在线方式进行教育,这导致互联网使用进一步增加,尤其是在青少年中,导致一些人网络成瘾。目的:估计贾姆纳加尔青少年学生中网络成瘾和睡眠质量差的发生率:这项横断面研究在 2022 年 1 月至 2022 年 3 月期间进行,包括古吉拉特邦贾姆纳加尔的 1778 名青少年学生。网络成瘾测试用于测量网络成瘾程度,短时匹兹堡睡眠质量指数用于测量睡眠质量。数据分析采用了卡方检验、曼-惠特尼 U 检验和多元逻辑回归技术:在我们的研究中,17.8%的参与者有轻度网瘾,3.2%的参与者有中度至重度网瘾,79%的参与者是普通网民。与网络成瘾相关的变量包括男性性别、居住地、使用互联网的年限、每天上网时长和每月网络充值支出。此外,27.2% 的参与者睡眠质量不佳。女性性别、中学教育程度、住在宿舍和网络成瘾是睡眠质量差的预测因素:结论:研究发现,学生上网成瘾的比例很高。结论:在 COVID-19 大流行期间,学生的网络使用率有所上升。网络成瘾与青少年睡眠质量差有很大关系。
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Prevalence of internet addiction and its association with quality of sleep among secondary and higher secondary school students of Jamnagar Gujarat during COVID-19.

Background: The internet is a vital part of present-day society. Internet use for education has increased in recent years. During the COVID pandemic, schools were closed and education was delivered through online methods, which led to a further increase in internet use, especially in adolescents, leading to internet addiction in some.

Aim: To estimate the prevalence of internet addiction and poor quality of sleep in adolescent students of Jamnagar.

Materials and methods: This cross-sectional study was carried out between January 2022 to March 2022 and included 1778 adolescent students of Jamnagar, Gujarat. The internet addiction test was used to measure the level of internet addiction, and the short Pittsburgh sleep quality index was used to measure the quality of sleep. Data analysis was conducted using the Chi-square test, Mann-Whitney U test, and multiple logistic regression techniques.

Results: In our study, 17.8% of participants had mild internet addiction, 3.2% of participants had moderate-to-severe internet addiction, and 79% of participants were average internet users. Associated variables with internet addiction were male gender, residence at home, duration of internet usage in years, daily hours spent online, and monthly expenditure on internet recharge. Furthermore, 27.2% of participants had poor quality of sleep. Female gender, secondary school education, residence at the hostel, and internet addiction were predictors of poor quality of sleep.

Conclusion: Students were found to have a high prevalence of internet addiction. The internet usage increased amid the COVID-19 pandemic. Internet addiction was significantly associated with poor quality of sleep in adolescents.

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