【作者】 李娇朦； 梅松丽；

【Author】 Li Jiao-meng;Mei Song-li;School of Public Health,Jilin University;Research and guidance center of teenagers’ healthy growth,Jilin University;

【机构】 吉林大学公共卫生学院； 吉林大学青少年健康成长研究与中心；

【摘要】 已有研究证明网络成瘾行为的形成与其他物质使用(如吸烟、饮酒和毒品)的增长有关。关于大学生网络成瘾的研究多集中于大学生自身性格、同伴影响及家庭因素,却较少有研究探讨其他危险行为对网络成瘾行为的影响。大学生是一个青年成长的关键时期,其对危险行为的模仿与探索以及感觉寻求都有所增长,进而增加了吸烟、饮酒等危险行为的发生,间接导致了大学生网络成瘾行为比例的日益增长。本研究旨在探讨大学生吸烟、饮酒对网络成瘾的形成可能造成的影响,选取某省某高校大一到研三1092名大学生作为被试展开研究。测量问卷使用的是Young编写的网络成瘾量表以及吸烟、饮酒的相关问题。研究结果发现,在1092名调查对象中,有8.3%的学生为网络成瘾者,10.3%的大学生吸烟,34.2%的大学生饮酒,其中,这三大危险行为的性别比例均存在显著差异(网络成瘾X2=12.513,P<0.01;吸烟X2=111.690,P<0.01;饮酒X2=171.792,P<0.01)。吸烟的大学生在网络成瘾与非网络成瘾中存在显著差异(X2=17.727,P<0.01)。饮酒的大学生在网络成瘾与非网络成瘾中差异无显著意义(X2=1.244,P>0.05)。在Logistic回归分析中加入了个人和家庭特征来衡量大学生网络成瘾行为,研究表明,男大学生似乎更容易陷入网络成瘾这种危险行为。大学生吸烟对网络成瘾的形成有直接的预测作用。结果揭示了网络成瘾在不同程度上受不同危险行为的影响,这对网络成瘾的预防和干预具有一定的指导意义。更多还原

【Abstract】 Several studies had reported that the risk of Internet addiction was associated with an increased of substance dependence.In recent years,the research about students’ Internet addiction in campus foucued on own personality,peer influence and family factors,but fewer studys had explored the other dangerous behaviour on the influence of Internet addiction.College student is a critical period which is characterized by imitation and exploration of dangerous behaviour,increased levels of sensation seeking.In turn,increasing the dangerous behaviour,such as smoking,drinking,indirectly led to a growing proportion of the college students‘ Internet addiction behavior.The aim of this study was to investigate the impact of cigarette and alcohol use on future Internet addiction among college students.A cohort sample of 1092 college students from Jilin province was surveyed,raging from freshman to graduate three.Of 1092 participants,8.3% were reportedly Internet addiction,10.3% were established to be cigarette smoking and 34.2% were alcohol use.Among them,the three risk behaviors were significant difference of the sex ratio(Internet addiction:X2=12.513,P<0.01;Smoking:X2=111.690,P <0.01;Drinking:X2=171.792,P <0.01).There was a difference in the number of students who smoked among the Internet addiction and non-Internet addiction(X2=17.727,P <0.01).Therewas no difference in the number of students with alcohol use among the Internet addiction and non-Internet addiction(X2=1.244,P >0.05).Logistic regressions were used to incoporate individual and family characteristics as measured at college students.The analyses certified that male college students appear to be especially likely to develop this risky behaviors.College student‘s cigarette smoking has a direct prediction on future internet addiction.The results revealed that Internet addiction is differentially influenced by different risky behaviors.The prevention and intervention of Internet addiction has a certain guiding significance.更多还原