权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Developing Methodology to examine causal mediation of Time-Varying Effects in Smoking Cessation Treatments

开发方法来检查戒烟治疗中时变效应的因果调节

基本信息

批准号：
10738681
负责人：
Donna Lynn Coffman
金额：
$ 14.46万
依托单位：
UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10738681
关键词：
Developing Methodology examine causal mediation

项目摘要

This project will examine new methods for understanding time-varying causal mediation effects in smoking cessation interventions. Mediation occurs when an independent variable (e.g., smoking cessation intervention) has an effect on an outcome (e.g., smoking abstinence) through a third variable (e.g., reduction in craving). In other words, we will develop new ways to understand the mechanisms by which smoking cessation interventions cause changes in people's smoking behavior, and how these effects vary over time. Understanding how interventions have their effect is key to designing more powerful, efficient interventions. To improve smoking cessation interventions, this proposal focuses on improving methods for the understanding of how people stop smoking and continue to abstain from smoking following a smoking cessation intervention. More broadly, the methods that we propose to develop will help us understand what causes behavioral interventions to affect people's engagement in and maintenance of healthy behaviors. We will develop and extend methods for analyzing intensive longitudinal data and conducting mediation analysis to better study time-varying effects, which refer to effects of one variable on another that change (i.e., strengthen or diminish) over time. We will extend methods, based on the potential outcomes framework for causal inference, to draw more valid causal inferences about time-varying effects in mediation and then apply these methods to two smoking cessation intervention studies. First, we will use ecological momentary assessment (EMA) data that asked people about their craving, mood, and smoking abstinence while they were enrolled in a randomized controlled trial of combination nicotine replacement therapy, the nicotine patch alone, and varenicline to develop mediation models in which the effect of the various study drugs on smoking abstinence is mediated by cravings or mood. These effects may vary over time. For example, a study drug may be very effective at reducing cravings shortly after the quit day, but the effect may weaken over time. Second, using data from pedometers, we will assess the effect of a physical activity/ smoking cessation intervention on daily step count and whether increases in daily step counts in turn have an effect on smoking cessation. We will disseminate the methods we develop in user-friendly software (e.g., R packages), journal articles, and conference presentations and workshops that are accessible to behavioral intervention researchers. Methods and findings will ultimately allow researchers to understand how their interventions work. With this knowledge, they will be able to design more efficacious and cost-effective interventions for smoking cessation by targeting the most relevant mediator(s) at the most relevant time.

该项目将研究了解吸烟随时间变化的因果中介效应的新方法戒烟干预措施。当自变量（例如戒烟干预）出现时，就会发生中介通过第三个变量（例如，烟瘾的减少）对结果（例如，戒烟）产生影响。在换句话说，我们将开发新的方法来了解戒烟的机制干预措施会导致人们的吸烟行为发生变化，以及这些影响如何随时间变化。了解干预措施如何发挥作用是设计更强大、更有效的干预措施的关键。到改善戒烟干预措施，该提案的重点是改进了解吸烟的方法人们如何在戒烟干预后戒烟并继续戒烟。更广泛地说，我们建议开发的方法将帮助我们了解导致行为的原因影响人们参与和维持健康行为的干预措施。我们将开发和扩展分析密集纵向数据和进行调解的方法分析以更好地研究时变效应，这是指一个变量对另一个变化的变量的影响（即，随着时间的推移，增强或减弱。我们将根据潜在结果框架扩展方法因果推断，对调解中的时变效应得出更有效的因果推断，然后应用这些方法适用于两项戒烟干预研究。首先，我们将使用生态瞬间评估 (EMA) 数据，询问人们吸烟时的烟瘾、情绪和戒烟情况参加了一项联合尼古丁替代疗法（单独使用尼古丁贴片）的随机对照试验，和伐尼克兰开发中介模型，其中各种研究药物对吸烟的影响禁欲是由渴望或情绪调节的。这些影响可能会随着时间的推移而变化。例如，研究药物戒烟日后不久可能会非常有效地减少烟瘾，但效果可能会随着时间的推移而减弱。其次，使用计步器的数据，我们将评估体力活动/戒烟的效果对每日步数的干预以及每日步数的增加是否会对吸烟产生影响停止。我们将在用户友好的软件（例如 R 包）、期刊中传播我们开发的方法可以进行行为干预的文章、会议演示和研讨会研究人员。方法和研究结果最终将使研究人员了解他们的干预措施是如何发挥作用的。有了这些知识，他们将能够设计出更有效且更具成本效益的吸烟干预措施通过在最相关的时间针对最相关的调解者来停止。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data.

变系数中介模型及其在行为经济学数据分析中的应用

DOI：
10.1080/07350015.2021.1971089
发表时间：
2022
期刊：
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
影响因子：
3
作者：
Liao, Yujie;Liu, Jingyuan;Coffman, Donna L.;Li, Runze
通讯作者：
Li, Runze

Time-Varying Mediation of Pharmacological Smoking Cessation Treatments on Smoking Lapse via Craving, Cessation Fatigue, and Negative Mood.

药物戒烟治疗通过渴望、戒烟疲劳和消极情绪对戒烟的时变调节。

DOI：
10.1093/ntr/ntac068
发表时间：
2022
期刊：
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
影响因子：
0
作者：
Chakraborti,Yajnaseni;Coffman,DonnaL;Piper,MeganE
通讯作者：
Piper,MeganE

Variable selection for causal mediation analysis using LASSO-based methods.