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印度巴夫那加尔在校青少年网络使用问题的预测因素。

Predictors of problematic Internet use in school going adolescents of Bhavnagar, India.

机构信息

Department of Psychiatry, Government Medical College and Sir Takhtasinhji General Hospital, Bhavnagar, India.

出版信息

Int J Soc Psychiatry. 2019 Mar;65(2):151-157. doi: 10.1177/0020764019827985. Epub 2019 Feb 11.

Abstract

BACKGROUND

Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life.

AIM/OBJECTIVE: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents.

METHODS

This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student's t test and Pearson's correlation. Multiple linear regression analysis was applied to find the predictors of PIU.

RESULTS

We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use.

CONCLUSION

Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

摘要

背景

网络成瘾是指个人无法控制自己的上网行为,导致日常生活中明显的痛苦和/或功能障碍。

目的/目标:我们评估了在校青少年中网络成瘾的频率以及网络成瘾的预测因素,包括社交焦虑障碍(SAD)、睡眠质量、生活质量和与互联网相关的人口统计学变量。

方法

这是一项在印度巴夫那加尔进行的观察性、单中心、横断面、基于问卷的研究,共有 1312 名 10、11 和 12 年级的在校青少年参与。每位参与者都通过一份包含人口统计学细节的表格进行评估,表格中包含网络成瘾测试(IAT)、社交恐惧症量表(SPIN)、匹兹堡睡眠质量指数(PSQI)和生活满意度量表(SWLS)的问卷,分别用于评估网络成瘾严重程度、社交焦虑严重程度、睡眠质量评估和生活质量评估。使用 SPSS 版本 23(IBM 公司)进行统计分析,采用卡方检验、学生 t 检验和皮尔逊相关。应用多元线性回归分析来发现网络成瘾的预测因素。

结果

我们发现,在校青少年中网络成瘾的频率为 16.7%,网络成瘾的发生率为 3.0%。有网络成瘾问题的参与者更有可能经历社交焦虑障碍(p<0.0001)、睡眠质量差(p<0.0001)和生活质量差(p<0.0001)。网络成瘾严重程度与社交焦虑障碍之间存在正相关(r=0.411,p<0.0001)。线性回归分析表明,社交焦虑障碍、睡眠质量、生活质量、英语媒介、男性性别、互联网总使用时间、互联网月使用费用、教育、社交网络、游戏、网上购物和娱乐作为互联网使用目的可以预测网络成瘾。

结论

有网络成瘾问题的参与者更有可能经历社交焦虑障碍、睡眠质量差和生活质量差。

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