PO.CL02.01 · 临床研究

戒烟适应性药物治疗期间的情感轨迹:来自EMA数据的见解

Affective trajectories during adaptive pharmacotherapy for smoking cessation: Insights from EMA data

海报缩略图:戒烟适应性药物治疗期间的情感轨迹:来自EMA数据的见解
编号 6434 展板 1 时间 4/21 02:00–05:00 区域 Section 40 主讲 Hadeel Al-Sahli, BS
分会场 Biostatistics in Clinical Trials / Surgical Oncology
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作者与单位 Authors & Affiliations

Hadeel Al-Sahli1, Ferdous Qudus2, George Kypriotakis3, Paul Cinciripini3, Yong Cui3

1UT Health Houston McGovern Medical School, Houston, TX,2Philadelphia College of Osteopathic Medicine, Philadelphia, PA,3University of Texas MD Anderson Cancer Center, Houston, TX

摘要 Abstract

中文摘要
背景:伐尼克兰(varenicline)和联合尼古丁替代疗法(NRT)等药物已被证明在促进戒烟方面具有疗效。然而,驱动成功戒断的潜在心理机制尚未得到充分理解。本研究采用生态瞬时评估(EMA),评估戒烟药物和适应性治疗阶段对接受两阶段戒烟试验成人情感的影响。 方法:成年吸烟者(N=490)在一项两阶段研究中被随机分配接受伐尼克兰(VAR)或尼古丁替代疗法(NRT)。在为期6周的第1阶段结束时,未戒断的参与者被重新随机分配,进入为期6周的第2阶段,继续、更换或强化其药物治疗,而已戒断的参与者则继续采用其最初的药物治疗。参与者提供了关于正性和负性情感的每日生态瞬时评估(EMA)数据,并按周和阶段取平均值。采用线性混合效应模型检验药物组、治疗阶段和戒烟后周数对正性和负性情感的影响,并允许阶段的效应在个体间随机变化。 结果:在考察情感随时间变化的轨迹时,出现了若干趋势。对数据的可视化观察表明,与继续采用标准NRT或单用伐尼克兰的参与者相比,接受强化药物治疗的参与者情感评分往往有更大的改善。就正性情感而言,强化伐尼克兰组和强化NRT组的个体在第2阶段呈现出上升轨迹,在调整用药方案后的数周内平均正性情感稳步升高。相比之下,标准NRT组和伐尼克兰组的参与者则表现出相对稳定或仅有小幅增加。就负性情感而言,在第2阶段接受强化治疗的参与者负性情感下降更为明显,而未接受强化治疗的参与者在两个阶段的负性情感评分则更为多变或持续。 结论:戒烟的适应性药物治疗策略随时间推移在改善正性情感和减少负性情感方面显示出更大的效果。重要的是,情感反应存在显著的异质性,提示年龄和性别等个体特征可能影响戒烟过程中的情绪调整。临床医生应考虑评估并在适当时调整用药方案,以支持戒烟全过程中理想的情感轨迹。未来研究应探讨情感变化与戒断结局之间的关联,并探索个体化用药策略如何在不同人群中同时优化情感和戒烟率。
查看英文原文 English abstract
Background: Medications such as varenicline and combination nicotine replacement therapy (NRT) have demonstrated efficacy in promoting smoking cessation. However, the underlying psychological mechanisms that drive successful abstinence are less well understood. This study used Ecological Momentary Assessment (EMA) to evaluate the impact of cessation medications and adaptive treatment phases on affect among adults undergoing a two-phase smoking cessation trial. Methods: Adult smokers (N=490) were randomized to receive varenicline (VAR) or nicotine replacement therapy (NRT) in a two-phase study. At the end of 6-week Phase 1, non-abstinent participants were re-randomized for the 6-week Phase 2 to continue, switch, or augment their pharmacotherapy, while abstinent participants continued with their initial pharmacotherapy. Participants provided daily ecological momentary assessment (EMA) data on positive and negative affect, which were averaged by week and phase. Linear mixed effects models were used to examine the effects of medication group, treatment phase, and weeks since quit date on positive and negative affect, allowing the effect of phase to vary randomly by subject. Results: Several trends emerged when examining the affect trajectories over time. Visual inspection of the data suggests that participants on augmented medication tended to show greater improvements in affect scores compared to those remaining on standard NRT or varenicline alone. For positive affect, individuals in the augmented varenicline and augmented NRT groups showed an upward trajectory in Phase 2, with mean positive affect increasing steadily in the weeks following adaptation of their medication regimen. In contrast, participants in the standard NRT and varenicline groups demonstrated relatively stable or only modest increases. For negative affect, participants who were augmented in Phase 2 exhibited sharper decreases in negative affect, while those in the non-augmented medication showed more variable or persistent negative affect scores across both phases. Conclusion: Adaptive pharmacotherapy strategies for smoking cessation show greater improvement in positive affect and reduction in negative affect over time. Importantly, there was substantial heterogeneity in affective response, suggesting that individual characteristics such as age and sex may influence emotional adjustment during smoking cessation. Clinicians should consider evaluating and, when appropriate, adjusting medication regimens to support desirable affective trajectories throughout the quitting process. Future studies should investigate how changes in affect are linked to abstinence outcomes and explore how personalized medication strategies can optimize both affect and quit rates in diverse populations.
利益披露 Disclosure
H. Al-Sahli, None.. F. Qudus, None.. G. Kypriotakis, None.. P. Cinciripini, None.. Y. Cui, None.

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