印度恰蒂斯加尔邦 10 所高校学生的网瘾及其影响。

Ramesh Kumar Sahu, Diwakar Singh Rajput, Naresh Jadeja, Anuradha Shukla, Rohini Ramji Dwivedi
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引用次数: 0

摘要

背景:无端使用互联网会导致个人、社会和职业领域的多重问题。这种现象被称为网络成瘾。1989 年至 2020 年间,互联网用户数量从 50 万增至 48.3 亿,这表明精通数字技术的人数呈上升趋势。根据印度电信与信息管理局(TRAI)的数据,截至 2020 年 6 月,印度拥有超过 7.18 亿用户,仅次于中国。本研究的目的是在恰蒂斯加尔邦司法首府比拉斯普尔和邦首府赖普尔地区的大学中仔细研究成瘾的严重程度、影响及相关因素:方法:使用 "个人信息表 "收集数据,其中还包括互联网使用情况概要、Young 的 "网络成瘾测试(IAT)"以及研究人员制作的 "网络成瘾影响量表 "问卷:在来自不同社会经济背景的 937 名专业人员中,男性 495 人(占 52.82%),女性 442 人(占 47.18%)。受试者的平均年龄为 21.34 岁(标准差为 2.34)。研究结果表明,IA 使用者的平均 IAT 得分为 67.15 分。在所有受访者中,222 人(23.69%)被发现严重成瘾,587 人(62.64%)可能成瘾,122 人(13.02%)轻度成瘾。在 937 人中,只有 6 人(0.64%)被认为是完全安全或没有成瘾的。事实证明,比较男性和女性在社交媒体使用、学习成绩、倾向和目的方面的结果意义重大:根据这些事实,讨论成瘾的可能性、保护因素和预防技巧。
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Internet Addiction and its Impact among Higher Educational Students from 10 Universities in the Indian State of Chhattisgarh.

Background: Unwarranted internet use can lead to a multiplicity of issues in personal, social, and professional spheres. This phenomenon is known as internet addiction. Between 1989 and 2020, the number of internet users increased from 500000 to 4.83 billion, suggesting a rising trend in the figure of persons who are digitally savvy. India had more than 718 million subscribers as of June 2020, second only to China, according to TRAI. The ground of this study is to scrutinize the magnitude of addiction, its impact, and related factors in universities located in the districts of Chhattisgarh's judicial capital, Bilaspur, and state capital, Raipur.

Methods: The "Personal Information Form" was used to gather data, which also contained synopses of internet usage, Young's "Internet Addiction Test (IAT)," and a questionnaire the researcher created called the "Impact Scale of Internet Addiction."

Findings: Out of 937 professionals from different socio-economic backgrounds, 495 (52.82%) were male and 442 (47.18%) were females. The subject's mean age was 21.34 (SD 2.34). The study's findings indicate that the mean IAT score for IA among users was 67.15. Out of the total, 222 (23.69%) respondents were found to be severely addicted, 587 (62.64%) to be possible addicts, and 122 (13.02%) to be mildly addicted, respectively. Only six (0.64%) out of 937 people were considered to be completely safe or addiction-free. Comparing males' and females' outcomes in terms of social media usage, academic performance, tendencies, and purpose has proven to be highly significant.

Conclusion: Discuss the probability of addiction, protective factors, and preventive techniques based on these facts.

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