Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA.
Department of Psychiatry, University of Pennsylvania, Philadelphia, PA.
Nicotine Tob Res. 2020 Mar 16;22(3):408-414. doi: 10.1093/ntr/nty250.
Network theories of psychopathology highlight that, rather than being indicators of a latent disorder, symptoms of disorders can causally interact with one another in a network. This study examined tobacco withdrawal from a network perspective.
Participants (n = 525, 50.67% female) completed the Minnesota Tobacco Withdrawal Scale four times (2 weeks prior to a target quit day, on the target quit day, and 4 and 8 weeks after the target quit day) over the course of 8 weeks of treatment with nicotine patch and behavioral counseling within a randomized clinical trial testing long-term nicotine patch therapy in treatment-seeking smokers. The conditional dependence among seven withdrawal symptoms was estimated at each of the four measurement occasions. Influential symptoms of withdrawal were identified using centrality indices. Changes in network structure were examined using the Network Comparison Test.
Findings indicated many associations among the individual symptoms of withdrawal. The strongest associations that emerged were between sleep problems and restlessness, and associations among affective symptoms. Restlessness and affective symptoms emerged as the most central symptoms in the withdrawal networks. Minimal differences in the structure of the withdrawal networks emerged across time.
The cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal rather than simply reflecting passive indicators of a latent disorder. Findings encourage greater consideration of individual withdrawal symptoms and their potential interactions and may be used to generate hypotheses that may be tested in future intensive longitudinal studies.
This study provides a novel, network perspective on tobacco withdrawal. Drawing on network theories of psychopathology, we suggest that the cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal over time, rather than simply reflecting passive indicators of a latent disorder. Results indicating many associations among individual symptoms of withdrawal are consistent with a network perspective. Other results of interest include minimal changes in the network structure of withdrawal across four measurement occasions prior to and during treatment with nicotine patch and behavioral counseling.
精神病理学的网络理论强调,与潜在障碍的指示相反,障碍的症状可以在网络中相互因果地相互作用。本研究从网络角度探讨了烟草戒断。
参与者(n=525,50.67%为女性)在尼古丁贴片和行为咨询治疗的 8 周内,4 次完成明尼苏达州烟草戒断量表(目标戒烟日前 2 周、目标戒烟日、目标戒烟日后 4 周和 8 周),在一项测试长期尼古丁贴片治疗在寻求治疗的吸烟者中的随机临床试验中。在四个测量时刻,估计了七个戒断症状之间的条件依赖性。使用中心性指数确定戒断的影响症状。使用网络比较测试检查网络结构的变化。
研究结果表明,戒断的个体症状之间存在许多关联。出现的最强关联是睡眠问题和不安之间的关联,以及情感症状之间的关联。不安和情感症状是戒断网络中最主要的症状。随着时间的推移,戒断网络的结构差异最小。
戒断症状的共同出现可能是由于戒断症状之间的相互作用所致,而不仅仅是反映潜在障碍的被动指标。研究结果鼓励更多地考虑个体戒断症状及其潜在的相互作用,并可能用于产生可以在未来的密集纵向研究中进行测试的假设。
本研究从网络角度对烟草戒断提供了一个新颖的视角。根据精神病理学的网络理论,我们认为,随着时间的推移,戒断症状的共同出现可能是由于症状之间的相互作用所致,而不仅仅是反映潜在障碍的被动指标。研究结果表明,戒断的个体症状之间存在许多关联,这与网络观点一致。其他有趣的结果包括,在尼古丁贴片和行为咨询治疗之前和期间的四个测量时刻,戒断网络结构的变化很小。