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. 2021 Mar;50(2):138-153.
doi: 10.1080/16506073.2020.1819868. Epub 2020 Oct 2.

Emotion dysregulation, fatigue, and electronic cigarette expectancies

Michael J Zvolensky  1   2   3 , Kara Manning  1 , Lorra Garey  1 , Candice A Alfano  1 , Nubia A Mayorga  1 , Natalia Peraza  1
Affiliations

Emotion dysregulation, fatigue, and electronic cigarette expectancies

Michael J Zvolensky et al. Cogn Behav Ther. 2021 Mar.

Abstract

Emotion dysregulation and the experience of fatigue have both been linked to the maintenance of substance use. However, limited empirical data has evaluated individual differences in these constructs in terms of e-cigarette use expectancies. The present study examined a theoretically relevant model focused on whether the experience of more severe fatigue explains, in part, the relation between individual differences in emotion dysregulation and positive and negative e-cigarette expectancies among 525 adult e-cigarette users (50.9% female, Mage = 35.25 years, SD = 10.10). It was hypothesized that emotion dysregulation, via fatigue severity, would significantly predict greater positive and negative e-cigarette expectancies, which was examined in two separate mediation models. Fatigue severity significantly explained, in part, the relation between emotion dysregulation and positive (b = 0.02, CI [0.01, 0.02]) and negative expectancies of e-cigarette use (b = 0.02, 95% CI [0.02, 0.03]). The current findings suggest that the experience of fatigue helps explain the relation between emotion dysregulation and positive and negative e-cigarette expectancies among adult e-cigarette users. Future work is needed to explicate how reducing fatigue severity in the context of emotion dysregulation may change expectancies about e-cigarette expectancies.

Keywords: Emotion dysregulation; dependence; electronic cigarettes; expectancies; fatigue.

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Conflict of interest statement

Disclosure of interest

The authors report no conflict of interest.

Figures

Figure 1.
Figure 1.
Emotion dysregulation predicting positive and negative expectancies of E-cigarette use via fatigue severity (Hypothesized Models).
Figure 2.
Figure 2.
Fatigue severity predicting positive and negative expectancies of E-cigarette use via emotion dysregulation (Reverse Models).
See this image and copyright information in PMC

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