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使用分类树分析青少年吸烟行为。

Using classification trees to profile adolescent smoking behaviors.

作者信息

Kitsantas Panagiota, Moore Trent W, Sly David F

机构信息

Department of Health Administration and Policy, The College of Health and Human Services, 4400 University Drive Fairfax, VA 22030, USA.

出版信息

Addict Behav. 2007 Jan;32(1):9-23. doi: 10.1016/j.addbeh.2006.03.014. Epub 2006 May 4.

DOI:10.1016/j.addbeh.2006.03.014
PMID:16677775
Abstract

The purpose of this study was to explore the interactive nature of various predictor variables in profiling adolescent smoking behaviors characterized by intention to smoke, current, situational, and established smoking using classification trees. The data (n = 3610) were obtained from cross-sectional telephone surveys of the Florida Anti-Tobacco Media Evaluation Program. Three classification trees were constructed, namely, intention versus no intention to smoke among non-smokers, current smokers versus non-smokers, and established versus situational smokers. The tree model for the intention model revealed that social and health risks are important in the context of peer smoking. Certain variables such as peer smoking and alcohol consumption retained their relative importance across the tree classifiers demonstrating that smoking intention may be predictable using some of the same variables as in current or more dependent smoking.

摘要

本研究的目的是利用分类树探索各种预测变量在描绘以吸烟意图、当前吸烟、情境性吸烟和习惯性吸烟为特征的青少年吸烟行为中的交互性质。数据(n = 3610)来自佛罗里达反烟草媒体评估项目的横断面电话调查。构建了三个分类树,即非吸烟者中吸烟意图与无吸烟意图、当前吸烟者与非吸烟者、习惯性吸烟者与情境性吸烟者。意图模型的树模型显示,在同伴吸烟的背景下,社会和健康风险很重要。某些变量,如同伴吸烟和饮酒,在整个树分类器中保持其相对重要性,这表明使用一些与当前或更依赖吸烟相同的变量可以预测吸烟意图。

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Using classification trees to profile adolescent smoking behaviors.使用分类树分析青少年吸烟行为。
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