Modelling the contribution of negative affect, outcome expectancies and metacognitions to cigarette use and nicotine dependence

Approximately 15% of US women currently smoke during pregnancy. An important step toward providing effective smoking cessation interventions during pregnancy is to identify individuals who are more likely to encounter difficulty quitting. Pregnant smokers frequently report smoking in response to intrapersonal factors (e.g., negative emotions), but successful cessation attempts can also be influenced by interpersonal factors (i.e., influence from close others). This study examined the association between emotion regulation difficulties, positive and negative social control (e.g., encouragement, criticism), and smoking cessation-related variables (i.e., smoking quantity, withdrawal symptoms) among pregnant smokers. Data were drawn from the pretreatment wave of a smoking cessation trial enrolling low-income pregnant women who self-reported smoking in response to negative affect (N = 73). Greater emotion regulation difficulties were related to greater smoking urges (b = 0.295, p = .042) and withdrawal symptoms (b = 0.085, p = .003). Additionally, more negative social control from close others was related to fewer smoking days (b = -0.614, p = .042) and higher smoking abstinence self-efficacy (b = 0.017, p = .002). More positive social control from close others interacted with negative affect smoking (b = -0.052, p = .043); the association between negative affect smoking and nicotine dependence (b = 0.812, p < .001) only occurred at low levels of positive social control. Findings suggest that emotion regulation difficulties may contribute to smoking during pregnancy by exacerbating women's negative experiences related to smoking cessation attempts. Negative social control was related to lower smoking frequency and greater confidence in quitting smoking, suggesting that it may assist pregnant smokers' cessation efforts. Positive social control buffered women from the effects of negative affect smoking on nicotine dependence.

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Psychometric Evaluation of the E-cigarette Dependence Scale

Nicotine & Tobacco Research ◽

10.1093/ntr/ntx271 ◽

2018 ◽

Vol 21 (11) ◽

pp. 1556-1564 ◽

Cited By ~ 5

Author(s):

Meghan E Morean ◽

Suchitra Krishnan-Sarin ◽

Steve Sussman ◽

Jonathan Foulds ◽

Howard Fishbein ◽

...

Keyword(s):

Nicotine Dependence ◽

Convergent Validity ◽

Cigarette Use ◽

Cigarette Smokers ◽

Test Criterion ◽

Scalar Invariant ◽

Wide Range ◽

Current Cigarette ◽

Dependence Scale ◽

Cigarette Dependence

Abstract Introduction Psychometrically sound measures of e-cigarette dependence are lacking. Methods We modified the PROMIS Item Bank v1.0—Smoking: Nicotine Dependence for All Smokers for use with e-cigarettes and evaluated the psychometrics of the 22-, 8-, and 4-item adapted versions, referred to as The E-cigarette dependence scale (EDS). Adults (1009) who reported using e-cigarettes at least weekly completed an anonymous survey in summer 2016 (50.2% male, 77.1% White, mean age 35.81 [10.71], 66.4% daily e-cigarette users, 72.6% current cigarette smokers). Psychometric analyses included confirmatory factor analysis, internal consistency, measurement invariance, examination of mean-level differences, convergent validity, and test-criterion relationships with e-cigarette use outcomes. Results All EDS versions had confirmable, internally consistent latent structures that were scalar invariant by sex, race, e-cigarette use (nondaily/daily), e-liquid nicotine content (no/yes), and current cigarette smoking status (no/yes). Daily e-cigarette users, nicotine e-liquid users, and cigarette smokers reported being more dependent on e-cigarettes than their counterparts. All EDS versions correlated strongly with one another, evidenced convergent validity with the Penn State E-cigarette Dependence Index and time to first e-cigarette use in the morning, and evidenced test-criterion relationships with vaping frequency, e-liquid nicotine concentration, and e-cigarette quit attempts. Similar results were observed when analyses were conducted within subsamples of exclusive e-cigarette users and duals-users of cigarettes and e-cigarettes. Conclusions Each EDS version evidenced strong psychometric properties for assessing e-cigarette dependence in adults who either use e-cigarette exclusively or who are dual-users of cigarettes and e-cigarettes. However, results indicated little benefit of the longer versions over the 4-item EDS, which provides an efficient assessment of e-cigarette dependence. Implications The availability of the novel, psychometrically sound EDS can further research on a wide range of questions related to e-cigarette use and dependence. In addition, the overlap between the EDS and the original PROMIS that was developed for assessing nicotine dependence to cigarettes provides consistency within the field.

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