第三学段小学生网络游戏成瘾现状调查及影响因素分析

Investigation on the Current Situation of Internet Gaming Disorder among Primary School Students in the Third Stage and Analysis of Its Influencing Factors

摘要: [目的]调查第三学段小学生网络游戏成瘾现状并分析其影响因素。[方法]采用网络游戏成瘾量表，通过分层抽样法与系统抽样法相结合的形式选取四川省宜宾市某小学第三学段200名学生为研究对象开展调查，并对数据进行描述性统计、独立样本t检验、单因素ANOVA检验、相关性检验。[结果]共回收有效问卷195份(97.50%)。第三学段小学生网络游戏成瘾检出率为5.13%，量表平均分为1.31 (SD = 0.29)。独立样本t检验结果显示，第三学段小学生网络游戏成瘾在性别(p < 0.001)、父子关系(p < 0.001)、朋友数量(p < 0.01)上存在显著差异。单因素ANOVA检验结果显示，第三学段小学生网络游戏成瘾在学习压力(p < 0.001)、游戏途径(p < 0.001)上存在显著差异。相关性检验结果显示，第三学段小学生网络游戏成瘾与父子关系(r = −0.248, p < 0.01)、母子关系(r = −0.170, p < 0.05)、朋友数量(r = −0.229, p < 0.01)呈显著负相关，与学习压力(r = 0.339, p < 0.01)、游戏时间(r = 0.580, p < 0.01)呈显著正相关。[结论] (1) 第三学段小学生网络游戏成瘾状况总体良好。(2) 性别、父子关系、母子关系、朋友数量、学习压力、游戏途径、游戏时间是第三学段小学生网络游戏成瘾的重要影响因素。(3) 本研究采用的网络游戏成瘾量表符合心理测量学的要求，具有良好的信效度，可以用于测量第三学段小学生的网络游戏成瘾水平。

Abstract: [Objective] To investigate the current status of internet gaming disorder among primary school students in the third stage and analyze its influencing factors. [Methods] An internet gaming disorder scale was utilized to conduct a survey among 200 students in the third stage from a primary school in Yibin City, Sichuan Province. The study participants were selected using a combination of stratified sampling and systematic sampling methods. The collected data underwent descriptive statistics, independent samples t-test, one-way ANOVA, and correlate analysis. [Results] A total of 195 valid questionnaires were recovered, representing a response rate of 97.50%. The detection rate of internet gaming disorder among the studied students was 5.13%, with an average scale score of 1.31 (SD = 0.29). The independent samples t-test revealed significant differences in internet gaming disorder based on gender (p < 0.001), father-child relationship (p < 0.001), and number of friends (p < 0.01). The one-way ANOVA test indicated significant variations in internet gaming disorder concerning academic stress (p < 0.001) and gaming access methods (p < 0.001). The correlate analysis demonstrated a significant negative correlation between internet gaming disorder and father-child relationship (r = −0.248, p < 0.01), mother-child relationship (r = −0.170, p < 0.05), and number of friends (r = −0.229, p < 0.01). Conversely, a significant positive correlation was observed between internet gaming disorder and academic stress (r = 0.339, p < 0.01) as well as gaming time (r = 0.580, p < 0.01). [Conclusion] (1) The overall situation of internet gaming disorder among primary school students in the third stage is satisfactory. (2) Gender, father-child relationship, mother-child relationship, number of friends, academic stress, gaming access methods, and gaming time are significant influencing factors of internet gaming disorder among these students. (3) The internet gaming disorder scale used in this study meets the requirements of psychometrics, demonstrating good reliability and validity, and can be used to measure the level of internet gaming disorder among primary school students in the third stage.