Analyzing Trajectories of Acute Cigarette Reduction Post-Introduction of an E-Cigarette Using Ecological Momentary Assessment Data
Bibliographic Data
| ID | 15464422 |
|---|---|
| Authors | Alexandra Guttentag (0000-0002-3633-9124, New York University, corresponding author), Tuo‐Yen Tseng (0000-0002-5634-3374, Johns Hopkins University), Donna Shelley (0000-0003-1677-2577, New York University), Thomas Kirchner (0000-0001-5764-4980, New York University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 12 |
| Pages | 7452-7452 |
| Publication date | 2022-06-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19127452 |
| PMID | 35742698 |
| OpenAlex | W4283014044 |
| Language | EN |
| References cited | 47 |
Electronic cigarettes (ECs) may hold great potential for helping smokers transition off combustible cigarettes (CCs); however, little is known about the patterns that smokers follow when using an EC as a CC-substitute in order to ultimately reduce and quit smoking. Our primary aim in this study was to evaluate whether common patterns of CC use exist amongst individuals asked to substitute an EC for at least half of the CCs they would normally smoke. These patterns may elucidate the immediate switching and reduction behaviors of individuals using ECs as a reduction/cessation tool. This analysis uses data from a randomized controlled trial of 84 adult smokers assigned to receive either 4.5% nicotine or placebo (0% nicotine) EC. Participants were advised to use the EC to help them reach a 50% reduction in cigarettes-per-day (CPD) within 3 weeks. Longitudinal trajectory analysis was used to identify CPD reduction classes amongst the sample; participants clustered into four distinct, linear trajectories based on daily CC use during the 3-week intervention. Higher readiness to quit smoking, prior successful quit attempts, and lower baseline CC consumption were associated with assignment into "more successful" CC reduction classes. ECs may be a useful mechanism to promote CC reduction. This study demonstrates that a fine-grained trajectory approach can be applied to examine switching patterns in the critical first weeks of an attempt
Alternative medicine · Cigarette smoke · Consumption (sociology · Environmental health · Harm reduction · Intervention (counseling · Nicotine · Pathology · Placebo · Psychiatry · Public health · Randomized controlled trial · Reduction (mathematics · Smoke · Smoking cessation · Air Quality and Health Impacts · Chemistry · Demography · Medicine · Noise Effects and Management · Psychology · Smoking Behavior and Cessation · Internal Medicine
Intention-to-treat concept
Measuring the Heaviness of Smoking
Ecological momentary assessment (EMA) in studies of substance use.
Group-Based Trajectory Modeling in Clinical Research
Analyzing developmental trajectories of distinct but related behaviors
Quitting Smoking Among Adults — United States, 2000–2015
Shape of the relapse curve and long‐term abstinence among untreated smokers
What is meant by intention to treat analysis? Survey of published randomised controlled trials
A Randomized Trial of E-Cigarettes versus Nicotine-Replacement Therapy
Predictors of attempts to stop smoking and their success in adult general population samples
Analyzing developmental trajectories
EffiCiency and Safety of an eLectronic cigAreTte (Eclat) as Tobacco Cigarettes Substitute
Ecological Momentary Assessment
Nicotine Blood Levels and Short-term Smoking Reduction with an Electronic Nicotine Delivery System
Developmental History of the Glover-Nilsson Smoking Behavioral Questionnaire
Predictors of smoking cessation in a cohort of adult smokers followed for five years
Effect on Smoking Cessation of Switching Nicotine Replacement Therapy to Over-the-Counter Status
A Note on a Stata Plugin for Estimating Group-based Trajectory Models
Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them
A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories
| Citation velocity | historical |
|---|---|
| Highly cited | No |