CAJ | 학술논문

目的：探讨大学生问题性网络使用的现状及其与孤独感的关系，为预防和干预大学生问题性网络使用提供参考。方法：采用Young网络成瘾诊断量表( IAT)、孤独量表( UCLA)对1056名大学生进行调查。结果：大学生问题性网络使用的发生率为18.8％；单因素分析显示男生、独生子女、非文科专业、高年级、家庭经济收入低、每天上网时间长及高孤独是PIU发生的危险因素( P<0.050)；Logistic回归显示性别、年级、每天上网时长、母亲文化程度、家庭经济收入、孤独程度进入方程( P<0.100)。结论：在预防和干预大学生问题性网络使用时，应考虑个体的人口学特征及孤独等影响因素。
목적：탐토대학생문제성망락사용적현상급기여고독감적관계，위예방화간예대학생문제성망락사용제공삼고。방법：채용Young망락성은진단량표( IAT)、고독량표( UCLA)대1056명대학생진행조사。결과：대학생문제성망락사용적발생솔위18.8％；단인소분석현시남생、독생자녀、비문과전업、고년급、가정경제수입저、매천상망시간장급고고독시PIU발생적위험인소( P<0.050)；Logistic회귀현시성별、년급、매천상망시장、모친문화정도、가정경제수입、고독정도진입방정( P<0.100)。결론：재예방화간예대학생문제성망락사용시，응고필개체적인구학특정급고독등영향인소。
Objective:To investigate the association of problematic Internet use ( PIU) and loneliness, and to provide a rationale for the prevention and intervention in college students. Methods: We conducted an investigation using Young’s Internet Addiction Test (IAT) and University of California Los Angeles (UCLA) Loneliness Scale ( version 3) among 1056 college students. Results:The prevalence of problematic Internet use was 18.8%. Univariate analysis showed that being male, single child, students majoring in disciplines other than literatures, senior students, low family economic income, surfing on the internet for a considerable amount of time per day and a high magnitude of loneliness were the risk factors of PIU (all P<0.050). Logistic regression analysis showed that gender, grade, duration of internet surfing, maternal education level, family income and the magnitude of loneliness were statistically significant risk factors of PIU ( all P<0. 100 ) . Conclusion: The personal characteristics and loneliness should be taken into account when implementing measures for the prevention and intervention of PIU in college students.