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在印度拉贾斯坦邦西部的大学生中探索互联网成及其相关因素:一项混合方法研究
Thota Rajasekhar1, Kikkeri Hanumantha Setty Naveen2, Pankaja Raghav2
1Department of Community Medicine, Narayana Medical College, Nellore, Andhra Pradesh, India.
Indian journal of psychiatry
|September 22, 2023
概括
互联网成影响了超过一半的大学生,性别,睡眠问题和心理健康等因素发挥了作用. 早期干预和查对于预防至关重要.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 社会学 社会学 社会学
背景情况:
- 互联网成 (IA) 在大学生中越来越令人担忧,因为广泛的互联网接入.
- 了解IA的患病率和促成因素对于有针对性的干预措施至关重要.
- 这项研究侧重于印度拉贾斯坦邦乔德普尔的大学生.
研究的目的:
- 为了估计大学生中互联网成的流行程度.
- 在这个人群中识别互联网成的预测因素.
- 质量地探索过度使用互联网的根本原因.
主要方法:
- 使用了一种解释性的顺序混合方法设计 (QUAN-QUAL).
- 一项横截面调查使用经过验证的尺度评估了互联网成,睡眠质量和心理健康.
- 焦点小组讨论和深入访谈探讨了与轻度至中度IA学生的互联网成相关的因素.
主要成果:
- 互联网成的患病率为51%,确定了轻度 (31.8%),中度 (18.5%) 和严重 (0.7%) 的类别.
- 关键预测因素包括男性性别,年轻年龄,早期互联网启动,城市起源,移动互联网使用,在线友,睡眠障碍,抑郁,焦虑和压力.
- 定性发现揭示了有关非学术互联网使用触发因素,内容,感知影响和应对策略的主题.
结论:
- 互联网成在不同的学术领域的大学生中非常普遍.
- 定性见解提供了更深入地了解AI在这个人口中的细微差别.
- 对IA进行查和实施社区一级的预防干预措施是必不可少的.
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