# Using Ecological Momentary Assessment To Characterize Dynamic Patterns of E-Cigarette Use in Adults Planning to Quit Vaping

> **NIH NIH F31** · RUTGERS, THE STATE UNIV OF N.J. · 2021 · $37,720

## Abstract

PROJECT SUMMARY/ABSTRACT
Approximately 10.8 million adults in the United States report regular e-cigarette use (“vaping”). While e-cigarette
use may have some potential as a smoking cessation aid, it may lead to continued, unwanted long-term use.
Despite the fact that the majority of e-cigarette users plan to quit vaping there are no empirically supported
treatment resources specifically designed to address e-cigarette use and we lack crucial information needed to
develop targeted interventions. We will examine (1) how e-cigarette use – and attempts to quit – unfold in real
time, (2) which factors precede quit attempts (e.g., intent to quit, cravings, e-liquid flavor), and (3) over what time
period these factors are relevant. The current study will use ecological momentary assessment (EMA) with 100
exclusive daily e-cigarette users who report plans to quit vaping in the next 30 days to characterize dynamic
patterns of e-cigarette use and quit attempts during that 30-day period.
Eligible participants include those between the ages of 21 and 60 who report current (past 6 months) daily e-
cigarette use, interest in quitting e-cigarettes within the next 30 days, live in the United States, have a smart
phone, and who deny use of cigarettes or daily use of an FDA approved cessation aid to help quit e-cigarettes
in the past 30 days. The proposed study has two specific aims: (1) To characterize the overall patterns of e-
cigarette use in adult e-cigarette users reporting interest in quitting vaping within the next 30 days, including e-
cigarette quit attempts and putative antecedents of e-cigarette quit attempts (e.g., mood, craving, intent to quit,
confidence in ability to quit) and (2) To examine the contextual and person-level factors that precede e-cigarette
quit attempts and the period of time over which these factors provide the best prediction of near-term future quit
attempts.
Moderated growth curve analyses will allow us to examine the extent to which contextual and person-level factors
predict future e-cigarette quit attempts and over what time periods. An immediate expected outcome of this
proposal is refinement of the field’s knowledge of e-cigarette use patterns and short-term antecedents of
discontinuation of e-cigarette use. The long-term outcome of this proposal is increased understanding of targets
for intervention among e-cigarette users which will aid in the development of novel treatments for e-cigarette
cessation. In 2018, almost 50 million adults reported use of any tobacco product, including e-cigarettes, which
is responsible for over $300 billion in smoking related illness and the leading cause of preventable death in the
United States. Knowledge gained from this proposal will refine the field’s understanding of e-cigarette use and
cessation-related behavior and will help reduce tobacco-related morbidity and mortality.

## Key facts

- **NIH application ID:** 10242698
- **Project number:** 5F31DA052149-02
- **Recipient organization:** RUTGERS, THE STATE UNIV OF N.J.
- **Principal Investigator:** Rachel Leni Rosen
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $37,720
- **Award type:** 5
- **Project period:** 2020-09-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10242698

## Citation

> US National Institutes of Health, RePORTER application 10242698, Using Ecological Momentary Assessment To Characterize Dynamic Patterns of E-Cigarette Use in Adults Planning to Quit Vaping (5F31DA052149-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10242698. Licensed CC0.

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