【作者】 于权浩； 王向； 曹妍媛； 卢京洁； 樊洁； 朱熊兆；

【Author】 Quanhao Yu;Xiang Wang;Yanyuan Cao;Jingjie Lu;Jie Fan;Xiongzhao Zhu;Medical Psychological Center,the Second Xiangya Hospital,Central South University;Medical Psychological Institute of Central South University;National Clinical Research Center for Mental Disorders;

【机构】 中南大学湘雅二医院医学心理研究中心； 中南大学医学心理研究所； 国家精神心理疾病临床医学研究中心；

【摘要】 背景/目的:快感缺失在网络成瘾的形成过程中起着重要作用。然而快感缺失作为一种多维度结构,不同类型的快感缺失对网络成瘾可能会有不同的影响,因此本研究采用追踪研究的方法,在大学生群体中区分社会快感缺失和躯体快感缺失对网络成瘾发展轨迹的影响。方法:共有3577名大一新生(平均年龄为18.01±0.77岁,其中65.4%的学生为女生)参加了为期两年的四次重复测量,躯体快感缺失问卷(Physical Anhedonia Scale)和社会快感缺失问卷(Social Anhedonia Scale)只在基线时完成,四次重复测量时均完成了网络成瘾问卷(Internet Addiction Test)和状态焦虑问卷(Spielberger’s State-Trait Anxiety Inventory)。本研究首先建立线性和非线性的无条件潜变量增长曲线模型(Latent Growth Curve Modeling,LGCM)以检验大学生群体网络成瘾的发展轨迹,其次建立有条件的潜变量增长曲线模型以检验不同类型的快感缺失(躯体性快感缺失和社会性快感缺失)对于网络成瘾发展轨迹的影响,鉴于性别和焦虑水平可能会影响个体的网络成瘾发展,因此将性别作为时间不变协变量、焦虑水平作为时间变化协变量纳入模型中。结果:(1)无条件的LGCM结果显示,非线性的LGCM的拟合良好,且优于线性LGCM(Δχ~2 (4)=46.456,p<0.001),大学生群体网络成瘾表现出先下降后上升的发展趋势;(2)社会性快感缺失显著正向影响截距(b=0.572,p<0.001),同时显著负向影响斜率(b=-0.127,p<0.05),但对曲线斜率影响不显著(b=0.018,p>0.05),这表明社会性快感缺失严重的学生会在基线时表现出高水平的网络成瘾,同时表现出较缓的网络成瘾下降趋势。然而躯体性快感缺失与增长曲线模型的截距(b=-0.083,p>0.05)、斜率(b=0.063,p>0.05)和二次斜率(b=-0.007,p>0.05)均无显著的预测作用。此外,不同性别大学生在网络成瘾的初始水平和变化率上均无显著差异(p>0.05),四个时间点的焦虑水平均对同时期的网络成瘾水平产生显著的预测作用(b=0.329～0.467,p<0.001)。结论:本研究结果强调了社会性快感缺失可以对大学生群体中网络成瘾起预测作用,而躯体性快感缺失对网络成瘾无预测作用。更多还原

【Abstract】 Background/Aim:There is growing awareness that anhedonia plays a critical role in the field of Internet Addictions.However,it should be noticed that anhedonia is a multidimensional construct and different types of anhedonia may have different effect on IA.This study adopted a tracking method to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of Internet addiction among college students.Methods:A total of 3577 Chinese college freshmen(Mean age=18.01,SD=0.77;65.4% girls) participated in a 2-year,four waves longitudinal tracking study.Physical Anhedonia Scale and Social Anhedonia Scale were measured only at baseline,while Internet Addiction Test and Spielberger’s State Anxiety Inventory were measured at each wave.First,the current study constructed the linear and quadratic unconditional latent growth curve modeling(LGCM) to examine the trajectory of IA among college students.Then a conditional LGCM was constructed to examine the impacts of different types of anhedonia(physical anhedonia and social anhedonia) on the developmental trajectories of IA.Considering the effects of gender and anxiety on IA,these two factors were added to the conditional LGCM as time-invariant variable and time-varying variable.Results:(1) The quadratic unconditional LGCM achieved greater fit,improved the fit significantly(Δχ~2(4)=46.456,p<0.001).The trajectory of Internet Addiction in the college students reflected a U-shape developmental trajectory which first declined and then slow increased;(2) Social anhedonia was significantly positively affected the intercept(b=0.572,p<0.001) and significantly negatively affected the linear slope(b=-0.127,p<0.05),but not significantly affected the quadratic slope(b=0.018,p>0.05),suggesting that students with high levels of social anhedonia experienced high levels of IA at baseline,and performed a slower rate in downward trend of IA.Physical anhedonia was not significantly associated with intercept(b=-0.083,p>0.05),linear slope(b=0.063,p>0.05) and quadratic slope(b=-0.007,p>0.05).In addition,there was no sex difference in both initial levels and change rate of IA(p>0.05),while anxiety was significantly associated with IA at all four time points(b=0.329～0.467,p<0.001).Conclusion:The findings of the current study highlight the value of social anhedonia could have prediction effect on the development of IA among college students,while physical anhedonia showed no prediction effect.更多还原