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Network analysis reveals the associations of past quit experiences on current smoking behavior and motivation to quit
Addictive Behaviors ( IF 3.7 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.addbeh.2020.106689
Christina D Dutcher 1 , Santiago Papini 1 , Catherine S Gebhardt 1 , Jasper A J Smits 1
Affiliation  

Introduction

Smoking is a leading cause of morbidity and mortality in the United States. While most smokers endorse a desire to quit, achieving abstinence is notoriously difficult. Network analysis is a method for understanding the complex relationships of factors that maintain smoking behavior and impact motivation to quit.

Methods

This study examined self-report prescreen data from treatment-seeking smokers (N = 3913). The number of prior quit attempts and withdrawal symptoms experienced, as well as current smoking behavior and motivation to quit were modeled as interconnected nodes in a network. Two key network metrics were examined: 1) edge weights, which quantify the strength and direction of the associations of interest, and 2) the sum of each node’s edge weights, which quantifies the expected influence of a node on the overall network.

Results

The withdrawal symptom of craving, r = 0.10, 95% CI [0.07, 0.13] and digestive problems, r = −0.06, 95% CI [−0.09, −0.03], had the strongest positive and negative association with daily cigarettes, respectively. The number of prior quit attempts, r = 0.17, 95% CI [0.14, 0.20], concentration problems, r = −0.04, 95% CI [−0.027, −0.01], showed the strongest positive and negative associations, respectively, with current motivation to quit. Nodes with significant links to current smoking and motivation to quit were also among the most influential in the overall network.

Conclusions

Findings suggest prior quit experiences and consequences associated with withdrawal symptoms may differentially relate to maintenance of smoking behavior and motivation to quit in treatment-seeking smokers. Interventions targeting key withdrawal symptoms may enhance motivation to quit.



中文翻译:


网络分析揭示了过去的戒烟经历与当前吸烟行为和戒烟动机的关联


 介绍


吸烟是美国发病和死亡的主要原因。虽然大多数吸烟者都支持戒烟,但众所周知,戒烟是很困难的。网络分析是一种了解维持吸烟行为和影响戒烟动机的因素之间复杂关系的方法。

 方法


本研究检查了寻求治疗的吸烟者的自我报告预筛查数据( N = 3913)。先前戒烟尝试的次数和经历的戒断症状,​​以及当前的吸烟行为和戒烟动机被建模为网络中的互连节点。检查了两个关键的网络指标:1)边权重,量化感兴趣关联的强度和方向;2)每个节点边权重的总和,量化节点对整个网络的预期影响。

 结果


烟瘾戒断症状, ​​r = 0.10,95% CI [0.07, 0.13] 和消化问题, r = -0.06,95% CI [-0.09, -0.03],分别与每天吸烟有最强的正相关和负相关。 。之前戒烟尝试的次数, r = 0.17,95% CI [0.14,0.20],注意力集中问题, r = -0.04,95% CI [-0.027,-0.01],分别显示出最强的正相关和负相关。目前戒烟的动机。与当前吸烟和戒烟动机有显着联系的节点也是整个网络中最有影响力的节点之一。

 结论


研究结果表明,寻求治疗的吸烟者之前的戒烟经历和与戒断症状相关的后果可能与吸烟行为的维持和戒烟动机存在不同的关系。针对关键戒断症状的干预措施可能会增强戒烟动机。

更新日期:2020-10-11
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