用于曾使用电子烟戒烟者的电子烟依赖衡量标准的心理计量学特性。

Psychometric properties of measures for electronic cigarette dependence among former-smoking electronic cigarette users.

机构信息

Department of Psychology, Eberly College of Arts & Sciences, West Virginia University, Morgantown, WV 26508, USA.

出版信息

Addict Behav. 2024 May;152:107974. doi: 10.1016/j.addbeh.2024.107974. Epub 2024 Jan 28.

DOI:10.1016/j.addbeh.2024.107974

PMID:38301587

Abstract

BACKGROUND

Measures designed to assess electronic cigarette (ECIG) dependence are largely adapted from those developed for cigarette smoking, and have been evaluated mainly among dual ECIG-cigarette users. The present study evaluated the psychometric properties of four dependence measures among former-smoking ECIG users.

METHODS

Respondents (N = 187) were daily ECIG users who had formerly smoked cigarettes regularly. As part of an online survey, they completed four dependence measures: Penn State Electronic Cigarette Dependence Index (PSECDI); E-Cigarette Dependence Scale (EDS-4); Glover Nilsson Behavioral Questionnaire (GNBQ); and Diagnostic and Statistical Manual 5th Edition (DSM-5).

RESULTS

Confirmatory factor analysis revealed a single factor structure for all four measures, and fit indices were adequate for all models. Most inter-item correlations (mean r's = 0.21 to 0.45) and all item-total correlations (mean r's = 0.53 to 0.80) were significant for all four measures. Internal consistency was highest for the GNBQ (α = 0.86) followed by the EDS-4 (α = 0.81), PSECDI (α = 0.76), and DSM-5 (α = 0.75). Age of ECIG initiation was correlated negatively with scores on the EDS-4 and DSM-5, while number of ECIG quit attempts was correlated positively with scores on all measures except the GNBQ. Convergent validity was highest for comparisons between the EDS-4 and PSECDI (r = 0.75) though all comparisons were significant (p's < 0.001).

CONCLUSIONS

All four measures demonstrated acceptable reliability and validity in this sample of former-smoking ECIG users.

摘要

背景

评估电子烟（ECIG）依赖的测量方法主要是从为吸烟设计的方法改编而来的，并且主要在双重使用 ECIG 和香烟的用户中进行了评估。本研究评估了四个依赖测量方法在以前吸烟的 ECIG 用户中的心理测量特性。

方法

被调查者（N=187）是每天都使用 ECIG 的前吸烟者。作为在线调查的一部分，他们完成了四个依赖测量方法：宾夕法尼亚州立大学电子烟依赖指数（PSECDI）；电子烟依赖量表（EDS-4）；Glover-Nilsson 行为问卷（GNBQ）；以及《精神障碍诊断与统计手册》第 5 版（DSM-5）。

结果

验证性因子分析显示，这四个测量方法都具有单一的因子结构，所有模型的拟合指数都足够。所有四个测量方法的大多数项目间相关性（平均 r 值为 0.21 到 0.45）和所有项目总分相关性（平均 r 值为 0.53 到 0.80）都具有统计学意义。GNBQ 的内部一致性最高（α=0.86），其次是 EDS-4（α=0.81）、PSECDI（α=0.76）和 DSM-5（α=0.75）。ECIG 起始年龄与 EDS-4 和 DSM-5 的分数呈负相关，而 ECIG 戒烟尝试次数与除 GNBQ 外的所有测量方法的分数呈正相关。EDS-4 和 PSECDI 之间的比较具有最高的收敛效度（r=0.75），尽管所有比较均具有统计学意义（p 值均<0.001）。