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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网络成瘾和抑郁症的治疗？前瞻性自然结果研究

网络成瘾 (IA) 的日益流行与包括抑郁症在内的多种心理障碍有关。我们探讨了 IA 如何与成年抑郁症状患者的治疗效果前瞻性相关（n = 241) 在纽约一家门诊诊所的背景下。尽管 IA 与摄入症状无关，但 IA 较高的患者平均参加的总疗程较少。多层次回归模型还显示，与 IA 评分较低的患者相比，IA 评分较高的患者终止治疗时抑郁评分较高。此外，IA 水平较高的患者在治疗结束时更有可能表现出抑郁症状水平上升，而 IA 水平较低的患者在治疗结束时抑郁症状保持减轻。这些结果表明，IA 的存在可能预示成人抑郁症的治疗结果不太成功，因为 IA 可能会减慢症状减轻的过程并与复发相关。