Internet Addiction and the Treatment of Depression? A Prospective Naturalistic Outcome Study

萧条(经济学) 背景(考古学) 抑郁症状 内科学 临床心理学 精神科 医学 前瞻性队列研究 上瘾 自然主义观察 多级模型 心理学 认知 社会心理学 生物 机器学习 宏观经济学 古生物学 经济 计算机科学
作者
Jiaqi Zhou,Molly Friedel,David H. Rosmarin,Steven Pirutinsky
出处
期刊:Cyberpsychology, Behavior, and Social Networking [Mary Ann Liebert, Inc.]
卷期号:26 (2): 121-126 被引量:6
标识
DOI:10.1089/cyber.2022.0184
摘要

The increasing prevalence of Internet addiction (IA) has been linked with a wide range of psychological disorders, including depression. We explored how IA was prospectively associated with effectiveness of treatment for adult patients with depressive symptoms (n = 241) in the context of a New York-based outpatient clinic. Although IA was not correlated with symptoms at intake, patients with higher IA attended fewer total sessions on average. Multilevel regression modeling also revealed that patients with higher IA scores terminated treatment with higher depression scores compared with those with lower IA scores. In addition, those with higher levels of IA were more likely to exhibit rising levels of depressive symptoms toward the end of the treatment, whereas patients with lower levels of IA maintained reduced depressive symptoms through termination. These results suggest that presence of IA may predict a less successful treatment outcome for adults with depression, as IA may slow down the process of symptom reduction and correlate with relapse.

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