# Respiratory effects of e-cigarette use among youth: a prospective, longitudinal investigation

> **NIH NIH K01** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2022 · $196,571

## Abstract

PROJECT ABSTRACT
Electronic cigarettes (EC) remain the most commonly used product among high schoolers. Little is known
about acute and longitudinal respiratory effects of ECs. This novel study will contribute critical knowledge
needed to understand pulmonary functioning and respiratory effects among 150 youth who are exclusive-EC
(N = 100) or never-users (N = 50; EC or other tobacco products), using a longitudinal, multimethod design.
Youth will complete 5-laboratory assessments to provide a comprehensive assessment of respiratory health
(airway reactivity and inflammation; pulmonary functioning). Further, we will incorporate EC user topography to
assess the immediate acute effects of EC use on respiratory markers. Two weeks prior to laboratory
assessments youth will complete daily EMA and spirometry assessments to examine how the frequency and
quantity of EC use impairs acute pulmonary functioning. This Tobacco Regulatory K01 will provide much
needed evidence regarding the immediate and longitudinal effects of EC use, while providing valuable training
to a promising new investigator from leading experts in the field of tobacco regulatory science.

## Key facts

- **NIH application ID:** 10461046
- **Project number:** 5K01HL148907-05
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Alayna Pauline Tackett
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $196,571
- **Award type:** 5
- **Project period:** 2020-12-17 → 2022-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10461046

## Citation

> US National Institutes of Health, RePORTER application 10461046, Respiratory effects of e-cigarette use among youth: a prospective, longitudinal investigation (5K01HL148907-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10461046. Licensed CC0.

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