Can Urinary Cotinine Predict Nicotine Dependence Level in Smokers?
Can Urinary Cotinine Predict Nicotine Dependence Level in Smokers?
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DOI：
10.7314/apjcp.2012.13.11.5483
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发表时间：
2012-01-01
影响因子：
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通讯作者：
Huh, Bong Ryul
中科院分区：
文献类型：
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作者：
Jung, Hyun-Suk;Kim, Yeol;Huh, Bong Ryul
背景：尽管尼古丁依赖是戒烟的主要障碍，但在临床环境中仍缺乏确定尼古丁依赖的生物标志物的有效性的确凿证据。这项研究旨在调查尿可替宁水平是否能反映活跃吸烟者尼古丁依赖的严重程度。材料和方法：使用自填式吸烟问卷收集有关一般特征和吸烟状况的数据。采用Fagerstrom尼古丁依赖测验(FTND)对381名受试者进行尼古丁依赖判定，将381名受试者分为3组：低尼古丁依赖组205例(53.8%)，中度尼古丁依赖组127例(33.3%)，高度依赖组49例(12.9%)。使用逐步多元线性回归模型和受试者工作特征(ROC)曲线分析来确定尿可替宁对高度尼古丁依赖的有效性。结果：在相关分析中，尿可替宁水平与FTND评分呈正相关(r=0.567，P
Background: Although nicotine dependence plays a role as a main barrier for smoking cessation, there is still a lack of solid evidence on the validity of biomarkers to determine nicotine dependence in clinical settings. This study aimed to investigate whether urinary cotinine levels could reflect the severity of nicotine dependence in active smokers. Materials and Methods: Data regarding general characteristics and smoking status was collected using a self-administered smoking questionnaire. The Fagerstrom test for nicotine dependence (FTND) was used to determine nicotine dependence of the participants, and a total of 381 participants were classified into 3 groups of nicotine dependence: low (n=205, 53.8%), moderate (n=127, 33.3%), and high dependence groups (n=49, 12.9%). Stepwise multiple linear regression model and receiver operating characteristic (ROC) curves analyses were used to determine the validity of urinary cotinine for high nicotine dependence. Results: In correlation analysis, urinary cotinine levels increased with FTND score (r=0.567, P