Cao Yanyuan, Liu Qian, Yu Quanhao, Fan Jie, Wang Xiang, Yao Rui, Zhu Xiongzhao
Medical Psychological Center, the Second Xiangya Hospital, Central South University, Renmin Middle Road 139#, Furong District, Changsha, Hunan 410011 China.
Medical Psychological Institute of Central South University, Changsha, Hunan China.
Curr Psychol. 2023 Apr 12:1-11. doi: 10.1007/s12144-023-04511-6.
UNLABELLED: Previous research has identified the contemporaneous association between experiential avoidance, depression, and Internet addiction. However, the mechanisms underlying this association are not well acknowledged. The present study aimed to use cross-lagged panel modeling to examine whether depression mediates the relation between experiential avoidance and Internet addiction and whether gender plays a role in the relation. A total of 2731 participants (934 male, Mean=18.03) were recruited from a university at the baseline study (December 2019). Data was collected at all 3 time points across one year (2019?2020), using 6-month intervals. Experiential avoidance, depression and Internet addiction were assessed using the Acceptance and Action Questionnaire-II (AAQ-II), the Beck Depression Inventory-II (BDI-II) questionnaire, and Young?s Internet Addiction Test (IAT), respectively. Cross-lagged panel models were used to evaluate the longitudinal association and the mediating effect. Multigroup analyses were conducted to examine gender differences in the models.Cross-lagged models indicated that experiential avoidance significantly predicted subsequent depression, and depression significantly predicted subsequent Internet addiction. Furthermore, mediation analyses showed that depression has a mediating effect in the relation between experiential avoidance and Internet addiction ( = 0.010, 95%CI[0.003, 0.018], >0.001). Multigroup analyses demonstrated that the pattern of structural relations stayed consistent across gender. The findings indicated that experiential avoidance is indirectly related to Internet addiction through depression, suggesting that treatments targeted at reducing experiential avoidance could help relieve depression and thus decrease the risk of Internet addiction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-023-04511-6.
未标注:先前的研究已经确定了经验性回避、抑郁和网络成瘾之间的同期关联。然而,这种关联背后的机制尚未得到充分认识。本研究旨在使用交叉滞后面板模型来检验抑郁是否介导了经验性回避与网络成瘾之间的关系,以及性别在这种关系中是否起作用。在基线研究(2019年12月)时,从一所大学招募了总共2731名参与者(934名男性,平均年龄=18.03岁)。在一年(2019 - 2020年)内的所有3个时间点收集数据,间隔为6个月。分别使用接受与行动问卷 - II(AAQ - II)、贝克抑郁量表 - II(BDI - II)问卷和杨氏网络成瘾测试(IAT)来评估经验性回避、抑郁和网络成瘾。交叉滞后面板模型用于评估纵向关联和中介效应。进行多组分析以检验模型中的性别差异。交叉滞后模型表明,经验性回避显著预测了随后的抑郁,抑郁显著预测了随后的网络成瘾。此外,中介分析表明,抑郁在经验性回避与网络成瘾之间的关系中具有中介作用(β = 0.010,95%CI[0.003, 0.018],p>0.001)。多组分析表明,结构关系模式在不同性别中保持一致。研究结果表明,经验性回避通过抑郁与网络成瘾间接相关,这表明针对减少经验性回避的治疗可能有助于缓解抑郁,从而降低网络成瘾的风险。 补充信息:在线版本包含可在10.1007/s12144 - 023 - 04511 - 6获取的补充材料。
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