Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China.
Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China.
J Affect Disord. 2023 Apr 1;326:83-88. doi: 10.1016/j.jad.2023.01.039. Epub 2023 Jan 28.
BACKGROUND/AIM: There is growing awareness that anhedonia plays a critical role in the development of Internet Addictions (IA). However, anhedonia is a multidimensional construct and different aspects of anhedonia may exert different effects on IA. This study was designed to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of IA among college students.
A total of 3577 Chinese college freshmen (M = 18.01, SD = 0.77; 65.4 % girls) participated in a 2-year, four waves longitudinal tracking study. The latent growth curve model (LGCM) was constructed to examine the impacts of different types of anhedonia on the developmental trajectories of IA. Gender was also added to the conditional LGCM as time-invariant variable.
The results of unconditional LGCM showed a U-shape developmental trajectory of IA. Social anhedonia significantly affected the intercept (β = 0.468, p < 0.001) and significantly affected the linear slope (β = -0.259, p < 0.05), but not the quadratic slope (β = 0.293, p > 0.05). Physical anhedonia was not significantly associated with intercept, linear slope and quadratic slope. There was no sex difference in both initial levels and change rate of IA.
Social anhedonia while not physical anhedonia has prediction effect on IA. College students with high levels of social anhedonia experienced high levels of IA at baseline, and performed a slower rate in downward trend of IA. The findings of the current study provide implications for prevention of IA in college students.
背景/目的:越来越多的人意识到快感缺失在网络成瘾的发展中起着关键作用。然而,快感缺失是一个多维度的概念,快感缺失的不同方面可能对网络成瘾产生不同的影响。本研究旨在区分社交快感缺失和身体快感缺失对大学生网络成瘾发展轨迹的影响。
共有 3577 名中国大一新生(M=18.01,SD=0.77;65.4%为女生)参与了一项为期 2 年、4 个时间点的纵向追踪研究。构建潜增长曲线模型(LGCM),以检验不同类型的快感缺失对网络成瘾发展轨迹的影响。性别也被作为时不变变量加入到条件 LGCM 中。
无条件 LGCM 的结果显示,网络成瘾的发展轨迹呈 U 型。社交快感缺失显著影响截距(β=0.468,p<0.001)和线性斜率(β=-0.259,p<0.05),但不影响二次斜率(β=0.293,p>0.05)。身体快感缺失与截距、线性斜率和二次斜率均无显著相关性。性别在网络成瘾的初始水平和变化率上均无差异。
社交快感缺失而不是身体快感缺失对网络成瘾有预测作用。社交快感缺失水平较高的大学生在基线时网络成瘾水平较高,且在网络成瘾呈下降趋势时,下降速度较慢。本研究的结果为大学生网络成瘾的预防提供了启示。