Browsing by Subject "E-cigarettes"

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    Prohibition of e-cigarettes in the US: Are prohibitions where alcohol is consumed related to lower alcohol consumption?
    (Palgrave Macmillan, 2016-12) Hershberger, Alexandra R.; Karyadi, Kenny A.; Cyders, Melissa A.; Psychology, School of Science
    Recently, research has suggested negative consequences related to electronic cigarette (e-cig) use, including the increased risk for alcohol use and abuse. Previous work found that cigarette smoking ban legislation lowered overall smoking and alcohol use rates; however, researchers have not yet examined the potential effects of prohibiting e-cig use. The present study surveyed 617 individuals from a community-based online sample in the US (mean age = 33.33, SD = 10.50, 54.7 per cent female) who reported their smoking/e-cig use status, alcohol consumption, and the presence of e-cig prohibitions where they consume alcohol. E-cig prohibition was associated with a lower likelihood of being an e-cig user (OR = 0.12, p < 0.001) or dual user (use both cigarettes and e-cigs) (OR = 0.07, p < 0.001). Alcohol Use Disorder Identification Test scores (b = -1.92, p < 0.001), total drinks consumed over 14 days (b = -4.58, p = 0.002), and average drinks per drinking day (b = -0.71, p < 0.001) were all lower when e-cigs were prohibited. Findings are an initial step in this line of research and suggest important future work examining implications of e-cig prohibition recommendations and policy.
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    The Relationship Between Electronic Nicotine Delivery System Use and Alcohol Consumption: A Neurocognitive and Behavioral Investigation
    (2019-08) Hershberger, Alexandra Raemin; Cyders, Melissa A.; Stewart, Jesse C.; Lapish, Christopher C.; Zapolski, Tamika C.B.
    Increasing research shows that the use of electronic nicotine delivery systems (ENDS) is associated with higher rates and quantity of alcohol consumption; however, no research to date experimentally examines the relationship between ENDS use and alcohol use. The present study uses a two-session within-subjects design to examine 1) the relationship between ENDS use prime and attentional bias for alcohol related cues and 2) the relationship between ENDS use and laboratory ad libitum alcohol consumption. A total of N = 31 (mean age = 28.71, SD = 11.17; 45.2% women; 54.8% White/Caucasian) healthy users of ENDS who endorsed liking beer completed the present study, which included 1) a dot-probe and eye-tracking task that assessed attentional bias (reaction time, initial orientation, and delayed disengagement) to alcohol images following ENDS prime or no prime and 2) an ad libitum beer consumption task that assessed mL of beer consumed by the participants when concurrent use of ENDS was allowed or not allowed. All analyses controlled for age, race, and gender. Results of repeated measure ANCOVA’s indicate that attentional bias for alcohol does not differ between the ENDS prime or control conditions (F’s 0.01 to 0.12, ηp2’s 0.001 to 0.01). There is a large interactive effect of self-reported days of concurrent use of ENDS and alcohol over the last 14 days (ηp2’s 0.35 to 0.85), small to medium effects of alcohol craving preceding eye-tracking (ηp2’s 0.02 to 0.09), and small to medium effects of ENDS craving preceding eye-tracking (ηp2’s 0.06 to 0.13), all of which show increases in attentional bias following the ENDS prime; however, these results were limited by data quality issues that preclude strong support of these effects. Results of repeated measure ANCOVA’s demonstrate that amount of beer consumed does not differ by ENDS condition, F (4, 26) = 0.03, p = .86, ηp2 = 0.001. Results of a hierarchical linear regression show that amount of ENDS weight change (g) is not significantly related to mL of beer consumed in the ENDS session (b = -86.48, t = -0.90, p = 0.38, ∆R2 = 0.03). Results of linear mixed modeling testing the effect of ENDS puffs on alcohol sips temporally across the ad lib task show puffs are significantly related to sips (estimate = 0.23, SE = 0.07, p = .002) and number ENDS puffs account for some variability in slope of participant sips across participants. Results of repeated measure ANCOVA’s do not demonstrate significant interactions between mL of beer consumed by session and concurrent self-reported ENDS use over the past two weeks (ηp2 = 0.45), alcohol craving, or ENDS craving (ηp2’s = 0.002). Overall, results indicate that increased frequency of ENDS use is related to an increased frequency of beer consumption in real time. Since ENDS is related to alcohol use in time and place, individuals at risk for alcohol use problems should take care in their ENDS use. This study suggests that research should more fully measure and compare event-level and meta-level data on ENDS and alcohol use and that patterns based in the cigarette literature may not always generalize to ENDS.