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在一项普通人群调查中,尼古丁依赖 Fagerstrom 测试与重度吸烟指数的比较。

Fagerstrom test for nicotine dependence vs heavy smoking index in a general population survey.

机构信息

Directorate-General for Public Health, Galician Regional Health Authority, Santiago de Compostela, Spain.

出版信息

BMC Public Health. 2009 Dec 30;9:493. doi: 10.1186/1471-2458-9-493.

Abstract

BACKGROUND

The Fagerström Test for Nicotine Dependence (FTND) is used for assessing nicotine dependence. A shorter test derived from the FTND used for the general population is the Heavy Smoking Index (HSI) (six questions vs. two). The objective of this study is to compare the validity of the HSI versus the FTND.

METHODS

A survey of tobacco use in the general population was carried out in the northern Spanish region of Galicia using both the FTND and the HSI to study a representative sample of 1655 daily smokers. The HSI was compared with the FTND, considered the gold standard. Measures of sensitivity, specificity and predictive values were calculated. Concordance between the tests was also established (Cohen's kappa).

RESULTS

Cohen's kappa showed good agreement between measures (Kappa = 0.7); specificity values were also high (Sp = 96.2%). Sensitivity analysis in females (Se = 62.3%) did not show good agreement.

CONCLUSIONS

The HSI can be used as a reasonably good screening test in order to identify daily smokers with high nicotine dependence. Nevertheless, for populations or subpopulations having low nicotine dependence, such as women, the FTND is more reliable.

摘要

背景

尼古丁依赖测试(FTND)用于评估尼古丁依赖程度。一种源自 FTND 的、适用于普通人群的更简短测试是重度吸烟指数(HSI)(六个问题与两个问题相比)。本研究的目的是比较 HSI 与 FTND 的有效性。

方法

使用 FTND 和 HSI 对西班牙加利西亚北部地区的普通人群进行了吸烟情况调查,以研究具有代表性的 1655 名每日吸烟者样本。将 HSI 与金标准 FTND 进行比较。计算了敏感性、特异性和预测值的测量值。还确定了两种测试之间的一致性(Cohen 的 kappa)。

结果

Cohen 的 kappa 显示出两种测量方法之间的良好一致性(Kappa = 0.7);特异性值也很高(Sp = 96.2%)。女性的敏感性分析(Se = 62.3%)没有显示出良好的一致性。

结论

HSI 可作为一种合理的筛选测试,用于识别具有高尼古丁依赖的每日吸烟者。然而,对于尼古丁依赖程度较低的人群或亚人群,如女性,FTND 更可靠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2613/2809067/2f890fd27b22/1471-2458-9-493-1.jpg

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