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目的:探讨大学生负性情绪对网络成瘾的影响，以及疲劳的中介作用。方法:采用陈淑惠中文网络量表、疲劳评定量表(fatigue assessment scale，FAI)和正性负性情绪量表(the positive and negative affect scale，PANAS)对8 371名大学一年级学生进行调查，采用SPSS 23.0进行数据分析，并进行中介效应检验。结果:大学生网络成瘾量表总分以及各因子得分与正性情绪得分均呈负相关(n r＝－0.337～－0.269；均n P<0.01)，大学生网络成瘾量表总分以及各因子得分与负性情绪得分均呈正相关(n r＝0.338～0.417；均n P<0.01)。大学生网络成瘾量表总分以及各因子得分与疲劳严重程度得分均呈正相关(n r＝0.029～0.040；均n P<0.01)，大学生网络成瘾量表总分以及各因子得分与疲劳的环境特异性得分、疲劳的结果得分部分呈正相关(n r＝0.021～0.028；均n P<0.05)。大学生情绪和疲劳对网络成瘾有一定的预测作用，可以解释网络成瘾总分36.9%的变异量(n F＝979.336，n P<0.01)，在网络成瘾和负性情绪之间，疲劳起部分中介作用。n 结论:负性情绪不仅直接影响大学生的网络成瘾程度，还可以通过疲劳的部分中介作用影响大学生网络成瘾程度。“,”Objective:To explore the effect of negative affect on internet addiction among college students, and the mediating effect of fatigue.Methods:Totally 8 371 freshmen from North China University of Science and Technology were assessed with Chen Shuhui Chinese Network Scale, Fatigue Assessment Scale and Positive Negative Emotion Scale.SPSS 23.0 was used to analyze the data and test the intermediary effect.Results:Both of the total score of internet addiction scale and the scores of each factor were negatively correlated with positive emotions scores (n r=-0.337- -0.269, n P<0.01). However, theose were positively correlated with the negative emotion scores(n r=0.338-0.417, n P<0.01), the fatigue severity scores(n r=0.029-0.040, n P<0.01), and the environment specific score and the result score of fatigue(n r=0.021-0.028, n P<0.05). The emotion and fatigue of college students could predict internet addiction, which could explain 36.9% variation of total score of internet addiction(n F=979.336, n P<0.01). Fatigue played a part in mediating between internet addiction and negative emotions.n Conclusion:Negative emotions not only directly affect the degree of internet addiction of college students, but also indirectly affect the degree of internet addiction of college students through part of the intermediary role of fatigue.