Background: Assessing the frequency and intensity of e-cigarette use presents special challenges beyond those posed by cigarette use. Accurate measurement of e-cigarette consumption, puff duration, and the stability of these measures over time will be informative for estimating the behavioral and health effects of e-cigarette use.
Objective: The purpose of this pilot study was to compare the accuracy of self-reported e-cigarette puff counts collected via ecological momentary assessment (EMA) to objective puff count data collected by a Bluetooth-enabled e-cigarette device and to examine the feasibility and acceptability of using a second-generation e-cigarette among adult smokers.
Methods: A total of 5 adult smokers were enrolled in a longitudinal parent study assessing how e-cigarette use affects cigarette use among e-cigarette-naïve smokers. Using a text message-based EMA system, participants reported e-cigarette puffs for 2 weeks. Participants were also given a Bluetooth-enabled e-cigarette (Smokio) that passively collected puff counts and puff duration. Comparisons between mean reports of Smokio (device-report) and EMA (self-report) use were evaluated using paired t tests. Correlation and agreement between device- and self-reports were evaluated using Pearson correlation and the concordance correlation coefficient (CCC), respectively. A linear mixed effect model was used to determine the fixed effect of timing and Smokio-reported daily puffs on report accuracy. We examined the relationship between time of day and reporting accuracy using Tukey's test for multiple pairwise comparisons.
Results: A total of 5 African American participants, 4 men and 1 woman, who ranged in age from 24 to 59 years completed the study, resulting in 5180 observations (device-report) of e-cigarette use. At baseline, participants reported smoking for 5 to 25 years and consumed a mean of 7 to 13 cigarettes per day (CPD); 4 smoked within 30 minutes of waking. At the 30-day follow-up, CPD range decreased to 1 to 3 cigarettes; 4 participants reported past 7-day e-cigarette use, and 1 participant reported no cigarette smoking in the past 7 days. Over 2 weeks of e-cigarette use, participants took an average of 1074 e-cigarette (SD 779.0) puffs per person as captured by the device reports. Each participant took a mean of 75.0 (SD 58.8) puffs per day, with each puff lasting an average of 3.6 (SD 2.4) seconds. Device reports captured an average of 33.3 (SD 47.8) more puffs per person per day than the self-reported e-cigarette puffs. In 87% of days, participants underestimated the number of puffs they had taken on the Smokio. There was significant moderate correlation (r=.47, P<.001) but poor agreement (p=0.31, 95% CI 0.15-0.46) between the device- and self-reported data. Reporting accuracy was affected by amount and timing of e-cigarette use.
Conclusions: Compared to self-reported e-cigarette use, the Bluetooth-enabled device captured significantly more e-cigarette use and allowed for examination of puff duration in addition to puff counts. A Bluetooth-enabled e-cigarette is a powerful and feasible tool for objective collection of e-cigarette use behavior in the real world.
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http://dx.doi.org/10.2196/resprot.6501 | DOI Listing |
Nicotine Tob Res
November 2024
Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Introduction: The increasing prevalence of electronic nicotine delivery systems and alcohol drinking has led to increases in nicotine and alcohol co-use. However, the impact of ENDs on brain activity and binge drinking behavior is not fully understood.
Aims And Methods: We subjected female and male C57BL/6J mice to a voluntary drinking and electronic nicotine vapor exposure paradigm.
Subst Use Misuse
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Objective: Adolescents are typically motivated to conform to peer influence, including substance use behaviors, and it is likely that adolescents who deviate from their peers' substance use behaviors might experience stress and anxiety.
Method: A mixed-methods approach was utilized to examine the relationship between peer e-cigarette and cannabis use and symptoms of generalized anxiety among a diverse sample of 12 grade students in Los Angeles County, California, USA ( = 1,867, = 17.04, SD = 0.
J Am Coll Health
January 2025
Division of Thoracic Surgery and Interventional Pulmonology, Swedish Cancer Institute, Seattle, Washington, USA.
Objective: To use egocentric network analysis (ENA) to identify how the role of social networks relates to e-cigarette use among college fraternity members.
Participants: 212 fraternity members participated in this study.
Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric network variables and ever use and current use of e-cigarettes.
Biomarkers
January 2025
Juul Labs, Inc., Washington DC.
Introduction: Adults who switch from smoking cigarettes to use of electronic nicotine delivery systems (ENDS) may reduce their exposure to harmful and potentially harmful constituents (HPHCs). This study assessed changes in exposure to HPHCs, assessed via biomarkers of exposure (BOEs), among adults who switched to a new ENDS product.
Methods: Adults who smoke cigarettes (N = 89) were randomized to: (1) switch completely to using JUUL2 Virginia Tobacco (N = 24) or Polar Menthol (N = 24); (2) continue smoking usual brand (UB) cigarettes (N = 21); or (3) abstain from all tobacco/nicotine products (N = 20) for six days.
Tob Control
December 2024
School of Public Health, Georgia State University, Atlanta, Georgia, USA.
Introduction: IQOS was sold in the US in 2019-2021 and will likely return in 2024. It is important to anticipate IQOS' market penetration; thus, this study examined US adults' prior awareness and perceptions, intentions to try and reactions to an IQOS reduced-risk exposure statement.
Methods: 61 adults from three US cities were recruited to represent four tobacco use subgroups: current cigarette and never electronic nicotine delivery systems (ENDS) use; current cigarette and discontinued ENDS use; current cigarette and ENDS use; and former cigarette use and switched to ENDS.
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