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建模 EMA 数据的复杂性:尼古丁成瘾亚组中负面情绪对吸烟冲动的时变滞后影响。

Modeling complexity of EMA data: time-varying lagged effects of negative affect on smoking urges for subgroups of nicotine addiction.

机构信息

Department of Counseling and Applied Educational Psychology, Bouvé College of Health Sciences, Northeastern University, Boston, MA;

出版信息

Nicotine Tob Res. 2014 May;16 Suppl 2(Suppl 2):S144-50. doi: 10.1093/ntr/ntt109. Epub 2013 Aug 3.

DOI:10.1093/ntr/ntt109
PMID:23911846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3977630/
Abstract

INTRODUCTION

Ecological momentary assessments (EMA) are increasingly used in studies of smoking behavior. Through EMA, examination of lagged relationships is particularly useful for establishing a temporal order of events and for identifying types and timing of risk factors. The time-varying effect model (TVEM) handles EMA data challenges and addresses unique questions about the time-varying effects.

METHODS

Generalized TVEM was applied to EMA data from a smoking cessation study to investigate a "time-varying lagged" effect of negative affect on high smoking urges. Participants included 224 smokers with a smoking history of 23.1 years (SD = 9.8) smoking 27.3 cigarettes per day (SD = 10.7), which provided 11,394 EMAs following a quit attempt and prior to a smoking lapse.

RESULTS

The effect of negative affect was found to vary as a function of a time lag, with stronger immediate effects: estimated odds ratio (OR) of 2.7 for the lower nicotine-dependence group (time to first morning cigarette > 5 min, 57.6%) and OR of 2.4 for the higher nicotine-dependence group (≤ 5 min). The magnitude of the effect persisted up to 7 hr while decreasing over time.

CONCLUSIONS

This analysis confirmed the importance of negative affect as a precursor of smoking urges while showing that the magnitude of the effect varies over time. An assumption of a constant lagged effect may bias estimates of the relationships and fail to provide a comprehensive outlook of the relational dynamics.

摘要

简介

生态瞬时评估(EMA)越来越多地用于吸烟行为的研究。通过 EMA,可以检查滞后关系,这对于确定事件的时间顺序和识别风险因素的类型和时间特别有用。时变效应模型(TVEM)处理 EMA 数据挑战,并解决关于时变效应的独特问题。

方法

广义 TVEM 应用于戒烟研究中的 EMA 数据,以调查负面情绪对高吸烟冲动的“时变滞后”影响。参与者包括 224 名吸烟者,吸烟史为 23.1 年(SD=9.8),每天吸烟 27.3 支(SD=10.7),在戒烟尝试后和吸烟前提供了 11394 次 EMA。

结果

发现负面情绪的影响随时间滞后而变化,即时效应更强:低尼古丁依赖组(第一次早上吸烟时间>5 分钟,57.6%)的估计比值比(OR)为 2.7,高尼古丁依赖组(≤5 分钟)的 OR 为 2.4。该效应的大小持续到 7 小时,同时随时间逐渐减弱。

结论

该分析证实了负面情绪作为吸烟冲动的前兆的重要性,同时表明效应的大小随时间而变化。滞后效应的恒定假设可能会使关系的估计产生偏差,并不能全面了解关系动态。

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