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Trends in Daily Nicotine Vaping and Unsuccessful Quit Attempts in Youths

Masonbrink AR, Bae D, Cho J, Miech RA, Dai HD, Harlow AF, Sussman S, Han DH et al.

JAMA network open, 2025

3,512 participants · 10 citations

Abstract

Importance: US youths who vape nicotine may be hardening into a more nicotine-dependent, treatment-resistant population over time, as evidenced by shifts toward daily vaping and difficulty quitting, which may vary by behavioral health and demographic factors.

Objective: To assess prevalence trends from 2020 to 2024 in (1) current (past 30 days) nicotine vaping, (2) daily vaping among youths who currently vape nicotine, and (3) unsuccessful quit attempts among youths who vape nicotine daily and to examine variation in these trends by behavioral health and demographic factors.

Design, setting, and participants: This cross-sectional study used data from Monitoring the Future (MTF), a nationally representative annual cross-sectional survey of 8th, 10th, and 12th grade respondents in US middle and high schools, from survey years 2020 to 2024.

Exposures: Survey year; grade in school; population density of school location; and self-reported sex, race and ethnicity, depressive symptoms, conduct problems, and past-30-day use of nicotine vaping, other tobacco products, cannabis, and alcohol.

Main outcomes and measures: Prevalence of (1) past-30-day nicotine vaping (≥1 vs 0 days) among all respondents, (2) past-30-day daily vaping among currently vaping youths (vaped all 30 vs 1-29 days), and (3) unsuccessful attempts to quit vaping (yes, no) among youths vaping daily, with weights applied to generate nationally representative estimates.

Results: In the pooled sample of 115 191 MTF…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 3,512 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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