The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling

被引:12
作者
Lydon-Staley, David M. [1 ]
Schnoll, Robert A. [2 ,3 ]
Hitsman, Brian [4 ]
Bassett, Danielle S. [1 ,5 ,6 ,7 ]
机构
[1] Univ Penn, Sch Engn & Appl Sci, Dept Bioengn, 210 S 33rd St,240 Skirkanich Hall, Philadelphia, PA 19104 USA
[2] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA
[3] Univ Penn, Abramson Canc Ctr, Philadelphia, PA 19104 USA
[4] Northwestern Univ, Dept Prevent Med, Feinberg Sch Med, Chicago, IL 60611 USA
[5] Univ Penn, Sch Engn & Appl Sci, Dept Elect & Syst Engn, Philadelphia, PA 19104 USA
[6] Univ Penn, Dept Neurol, Perelman Sch Med, Philadelphia, PA 19104 USA
[7] Univ Penn, Dept Phys & Astron, Coll Arts & Sci, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
SMOKING-CESSATION; TIME-COURSE; SYMPTOMS; VALIDATION; DEPRESSION; MOTIVATION; DYNAMICS; DISORDER; MODELS; ONSET;
D O I
10.1093/ntr/nty250
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Introduction: 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. Methods: 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. Results: 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. Conclusions: 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.
引用
收藏
页码:408 / 414
页数:7
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